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  • Principal Researcher in Environmental AI 6 Dec 2020

    Cambridge United Kingdom

    001 calendar 1 Apr 2021 Permanent

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    The British Antarctic Survey’s Artificial Intelligence Lab (www.bas.ac.uk/ai) is looking to hire a Principal Researcher to lead research that applies data science and AI methods to environmental science. We are looking for a dynamic leader with a proven track record of securing external funding to significantly grow this research activity at the British Antarctic Survey. The post holder will work in collaboration with our partner organisations, including: The Alan Turing Institute; international research institutes; our University network; and our two Centres for Doctoral Training (CDTs) in Earth Observation and AI for Environmental Risk. Candidates will be experts in data science and artificial intelligence, with leadership experience working in an interdisciplinary setting within the context of environmental science.

    Apply now
  • Environmental AI Leader 6 Dec 2020

    Cambridge United Kingdom

    001 calendar 1 Feb 2021 Open-Ended Appointment, Full Time

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    British Antarctic Survey are looking for a Principal Researcher in Environmental Artificial Intelligence to support and help manage the BAS AI Lab, to win funding and sustain the growth of this emerging research area.

    What is the role about?

    The British Antarctic Survey’s Artificial Intelligence Lab (www.bas.ac.uk/ai) is looking to hire a Principal Researcher to lead research that applies data science and AI methods to environmental science. We are looking for a dynamic leader with a proven track record of securing external funding to significantly grow this research activity at the British Antarctic Survey. The post holder will work in collaboration with our partner organisations, including: The Alan Turing Institute; international research institutes; our University network; and our two Centres for Doctoral Training (CDTs) in Earth Observation and AI for Environmental Risk. Candidates will be experts in data science and artificial intelligence, with leadership experience working in an interdisciplinary setting within the context of environmental science.

    Who are we?

    British Antarctic Survey (BAS) delivers and enables world-leading interdisciplinary research in the Polar Regions. Its skilled science and support staff based in Cambridge, Antarctica and the Arctic, work together to deliver research that uses the Polar Regions to advance our understanding of Earth as a sustainable planet. Through its extensive logistic capability and know how BAS facilitates access for the British and international science community to the UK polar research operation. Numerous national and international collaborations, combined with an excellent infrastructure help sustain a world leading position for the UK in Antarctic affairs. British Antarctic Survey is a component of the Natural Environment Research Council (NERC). NERC is part of UK Research and Innovation www.ukri.org

    We employ experts from many different professions to carry out our Science as well as to keep the lights on, feed the research and support teams and keep everyone safe! If you are looking for an opportunity to work with amazing people in amazing places then British Antarctic Survey could be for you. We aim to attract the best people for those jobs. Purpose

    Areas where AI research could be developed include:

    • Monitoring the Earth from satellite images • Monitoring the oceans and glacial systems • Modelling and prediction of extreme events • Environmental sensor networks • Digital Twinning for the natural environment • Impact of climate change on water security • Using AI methods and models to inform policy Qualification

    A PhD or equivalent experience in a relevant field Duties

    • To conduct outstanding, creative and innovative research in AI for environmental science, and to develop internationally-significant outcomes through high-impact publications.

    • To work collaboratively with key partners (e.g. from research councils, charities, industry and government departments) to develop new research ideas.

    • To obtain external funding to underpin and grow the research activity in this area at the British Antarctic Survey (BAS).

    • To take on line management responsibilities for staff, and supervise students

    • To disseminate research to both academic and non-academic audiences (including public engagement), and seek ways to develop societal impact.

    • To represent BAS to key stakeholders, such as funding agencies, and Government.

    • To play a role in advancing the BAS AI Lab

    • To contribute to the smooth-running of the organisation as and when required

    • Some teaching/training may be required as part of collaboration work

    Please quote reference: BAS 20/83 Closing date for receipt of application forms is: 6 December Interviews are scheduled to be held: January 2021

    Interviews will be a two-stage process, with candidates who pass the initial interview will be invited to give a presentation to BAS staff which will form the second part of the interview.

    BAS is an Equal Opportunity employer. As part of our commitment to equality, diversity and inclusion and promoting equality in careers in science, we hold an Athena SWAN Bronze Award and have an active Equality, Diversity and Inclusion programme of activity. We welcome applications from all sections of the community. People from ethnic minorities and disabled people are currently under-represented and their applications are particularly welcome. We operate a guaranteed interview scheme for disabled candidates who meet the minimum criteria for the job. We are open to a range of flexible working options, including job sharing, to support childcare and other caring responsibilities.

    Apply now
  • Data Scientist 1 Oct 2020

    Atlanta America

    001 calendar 17 Sep 2020 Full Time

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    POSITION PURPOSE This role will be responsible for building large-scale systems that analyze terabytes of data. By partnering with business leaders and leveraging company and industry data, this position will also develop algorithms and models to improve business objectives, in areas of online retail and marketing. The Sr. Data Scientist will be expected to operate with minimal supervision and mentor data scientists to complete analytical tasks and productionalize model-driven solutions.

    MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES

    50% - Design and develop algorithms and models to use against large datasets to create business insights 20% - Present analysis and resulting recommendations to senior management; leverage data to present a compelling business case to optimize investments and operations 10% - Communicate and educate technical and non-technical employees on analytics and data-driven decision making 20% - Establish scalable; efficient processes for large scale data analyses, model development and model implementation

    Travel: Typically requires overnight travel less than 10% of the time.

    MINIMUM QUALIFICATIONS Must be eighteen years of age or older. Must be legally permitted to work in the United States. Additional Minimum Qualifications: Typically requires overnight travel less than 10% of the time.

    Education Required: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

    Years of Relevant Work Experience: 2 years

    Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

    Additional Qualifications: - Strong data mining and machine learning background - Experience with marketing, and big data environment

    Preferred Qualifications: -PhD in Computer Science, Math or related quantitative field - Experience with audience-based marketing, personalization, information retrieval, graph analysis, statistical modeling, neural network, and natural language processing - Experience with large-scale data analysis - Experience with e-Commerce and analyzing clickstream data - Experience with big data environment including Spark, Hadoop, Hive, etc. - Proficiency in at least one statistics/data analysis package, such as Python or R - Proficiency in at least one programming language, such as Java or Python, etc. - Solid coding practices including good design documentation, unit testing, and integration testing - Experience working with real-world noisy data

    Apply now
  • Senior Data Scientist 1 Oct 2020

    Atlanta Ameria

    001 calendar 17 Sep 2020 Full Time

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    POSITION PURPOSE This role will be responsible for building large-scale systems that analyze terabytes of data. By partnering with business leaders and leveraging company and industry data, this position will also develop algorithms and models to improve business objectives, in areas of online retail and marketing. The Sr. Data Scientist will be expected to operate with minimal supervision and mentor data scientists to complete analytical tasks and productionalize model-driven solutions.

    MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES 40% -Design and develop algorithms and models to improve search and personalization; Establish scalable, efficient processes for large scale data analysis, model development and model implementation. 20% -Present findings in easily understood ways and focuses on how data analytics fits into the bigger picture. 20% -Communicate with product management, IT, and other business teams on problem definition and writing requirement documents for efficient model building and deployment. 10% -Mentor and develop the technical and business skills of Data Scientists. 10% -Define best practices and articulate a clear vision for how data analyses and model productionalization should be done. MINIMUM QUALIFICATIONS Must be eighteen years of age or older. Must be legally permitted to work in the United States.

    Education Required: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

    Years of Relevant Work Experience: 5 years

    Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

    Additional Qualifications: - Strong data mining and machine learning background - Experience with marketing, and big data environment

    Preferred Qualifications: - PhD in Computer Science, Math or related quantitative field - Experience with audience-based marketing, personalization, information retrieval, graph analysis, statistical modeling, neural network, and natural language processing - Experience with large-scale data analysis - Experience with e-Commerce and analyzing clickstream data - Experience with big data environment including Spark, Hadoop, Hive, etc. - Proficiency in at least one statistics/data analysis package, such as Python or R - Proficiency in at least one programming language, such as Java or Python, etc. - Solid coding practices including good design documentation, unit testing, and integration testing - Experience working with real-world noisy data

    Knowledge, Skills, Abilities and Competencies: - Strong communication and data presentation skills; ability to communicate with data-driven stories - Ability to quickly adapt to new technologies, tools and techniques - Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines - Ability to work with technical and non-technical team members

    Apply now
  • Deep Learining Engineer 28 Sep 2020

    London or Amsterdam England or Amsterdam

    001 calendar 15 Sep 2020 Full time

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    The ideal candidate for this role is based in London or Amsterdam, but candidates based in Warsaw are also welcome to apply.

    We are backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar chip and hardware companies. Plumerai develops open-source software (Larq - https://larq.dev/) and publishes world-class research on BNNs (NeurIPS 2019 - https://papers.nips.cc/paper/8971-latent-weights-do-not-exist-rethinking-binarized-neural-network-optimization).

    We are looking for a talented and ambitious Deep Learning Engineer to help us with the development of our training software and inference engine for embedded platforms. You will be closely collaborating with our software and hardware teams. This is a fantastic opportunity to contribute to the exciting field of efficient deep learning.

    What you will be doing: - You will primarily help us with the development of our BNN inference engine. We developed this for AArch64 (Larq Compute Engine - https://github.com/larq/compute-engine) and for Cortex-M microcontrollers. You will also contribute to our BNN training library (Larq - https://github.com/larq/larq). - You will work with an extremely talented and driven team that is researching and implementing both new and known algorithms to enable deep learning models that are radically more efficient. - You will tackle hard problems that have not been solved before and this requires both theoretical creativity and technical intuition. We provide a challenging and creative environment where contributions are highly visible. We encourage you to take initiatives. - You will be taking on many responsibilities. Career advancement opportunities are to be expected as the company grows.

    Useful experience: - Proficient in Python, C/C++ and ARM or RISC-V assembly programming languages. - Comfortable with matrix multiplication and related algorithms and tools (im2col, BLAS). - Experience with bare-metal programming and embedded toolchains. - Experience with LLVM, MLIR, TVM or GLOW is a big plus. - Experience with CMSIS, TensorFlow Lite and TensorFlow Lite for Microcontrollers is a big plus. - Industrial experience in deep learning and computer vision. Relevant academic publications are a plus. - Comfortable with frameworks such as TensorFlow or PyTorch.

    Benefits: - Stock options. - Competitive salary. - Relocation assistance. - Choose your own laptop. - 25 days of paid vacation time in addition to bank holidays. - Ability to attend top research and developer conferences. - Flexible working hours. - Pension contribution.

    Apply now
  • Deep Learning Researcher 29 Sep 2020

    Cambridge United Kingdom

    001 calendar 15 Sep 2020 Full time

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    Microsoft Research Cambridge (UK) is looking for exceptional Researcher candidates in deep learning. Microsoft AI and Research works with the world's best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world's toughest challenges and improve the lives of people everywhere.

    The successful applicant would be expected to develop a program of research in deep learning methods, enabling new applications in processing of images, text or other structured data. This is an exceptional opportunity to drive ambitious research while collaborating with product teams in one of the largest software companies in the world.

    The Microsoft Research Cambridge lab hosts over 130 full-time researchers and engineers who collaboratively pursue research on machine learning, systems and networking, programming languages, synthetic biology, medical imaging and human experience and design.

    The application should include a curriculum vitae (CV), three referees, and a research statement (approximately 2-4 pages) which takes into account the unique opportunities provided by the Microsoft Research environment.

    Further Information Is Available At The Following Websites

    https://www.microsoft.com/en-us/research/careers/

    https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/

    Qualifications Expert understanding of state-of-the-art deep learning techniques, evidenced by a strong publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, …) or product development. Hands-on experience with current frameworks (e.g., TensorFlow, PyTorch, or DyNet). Interest in deep research with high real-world impact. Completed PhD (or close to completion of PhD). Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

    Apply now
  • Specialist SA, Artificial Intelligence/ Machine Learning 29 Sep 2020

    London United Kingdom

    001 calendar 15 Sep 2020 Full time

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    We are looking for Solutions Architects that blend great communication skills with deep technical prowess giving them the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions.

    Roles And Responsibilities: - Be a technical trusted advisor for influential technical decision-makers for the successful adoption and deployment of AWS AI/ML services and technologies - Architect solutions leveraging AWS machine learning and AI specific services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Machine Learning Services. - Create empathetic relationships with customers that allows you to understand and articulate customer needs and opportunities. Work with the AWS AI/ML Service teams to define, design and drive new features and capabilities for AI/ML services.

    Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, white-papers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, White-papers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and nurture an AWS internal community of AI/ML related Subject Matter Experts Collaborate with AWS business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners

    Basic Qualifications: Solid fundamentals in the field of AI, Machine Learning, Deep Learning and related technologies. Comfortable with software development with relevant experience developing production-grade code. Experience working with RESTful API and general service-oriented architectures. Experience influencing and building mindshare convincingly with any audience. Confident and experienced in speaking to large audiences.

    Preferred Qualifications Academic background in Mathematics, Computer Science, Statistics or equivalent professional experience Experience communicating effectively across internal and external organizations, for complex mission-critical solutions Experience with predictive analytics, semi- and unstructured data Experience deploying production-grade machine learning solutions on public cloud platforms Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale. Experience with Machine and Deep Learning toolkits such as PyTorch, Scikit-learn, XGBoost, MXNet & TensorFlow Experience with AWS (or comparable) services adjacent to AI/ML.

    Apply now
  • Deep Learning Researcher 20 Oct 2020

    Cambourne United Kingdom

    001 calendar 14 Sep 2020 Full time

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    MediaTek Research UK Ltd is the central research-oriented arm for the global MediaTek Group. The Research Lab shall advance the state of the art of AI and Communications technology, and deliver critical algorithms to enable innovative business cases.

    The Role Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek Research UK Ltd is seeking an exceptional research scientist to extend state-of-the-art research in deep learning. The ideal candidate is open-minded, passionate about learning theory, and looks forward to both practical and challenging problems.

    As a Deep Learning Researcher in our team, you will collaborate with our Cambridge Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices. You will also push your contribution by publishing at top-tier conferences, such as ACL, NeurIPS, CoNLL, EMNLP, NACCL, EACL, ICML, CVPR, ICRA, ICDM, LREC, ICLR.

    About MediaTek

    MediaTek Research UK Ltd’s parent group is a leading semiconductor product and technology company. We look for people with great passion and work ethic, who have a broad set of technical skills who are ready to master new technologies and tackle some of the industry’s greatest challenges to positively impact billions, of future users. At MediaTek, our employees are revolutionizing the shape, size and capability of devices in many parts of the consumer electronics, computing, wireless and mobile industry. From feature phones and smartphones, to tablets and digital television, MediaTek employees are changing the industry one innovative product after another.

    Location This position will be at our Cambourne, Cambridgeshire office, based 9 miles outside Cambridge city centre (with frequent direct bus services). Cambridge is also conveniently located circa one hour from Central London, four main London airports and The Eurostar.

    Apply now
  • Machine Learning Engineer/Data Scientist - AI 28 Sep 2020

    Birmingham UK

    001 calendar 14 Sep 2020 Full time

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    Rapidly growing start-up based in Central Birmingham, who are at the forefront of utilising Artificial Intelligence to improve ecommerce and help retails better connect with customise online are hiring for additional Machine Learning Engineer/Data Scientists to join team.

    With a swift interview process now is the time to apply.

    Key Skills - • Proven experience delivering cutting edge analytics in a commercial environment utilising best in class Artificial Intelligence, Machine Learning and Deep Learning techniques • Research background; MSc or PhD in quantitative fields like Mathematics, Statistics, Economics, Computing, Engineering, Biology, Chemistry • Knowledge of and practical experience with Python for data analysis (Pandas, statsmodels, NumPy, scikit-learn, Jupyter notebooks, NLTK) • Experience with frameworks such as Tensorflow/Keras • Strong working knowledge of machine learning models, data mining techniques and inference algorithms such as decision trees association rules, clustering, classification, regression, topic models, stochastic sampling and collaborative filtering • Experience conducting data analysis on big data (e.g. TB+ scale datasets) • Data visualization, manipulation and extraction skills • Ability to clearly communicate complex research findings to both technical and non-technical team members • Awareness of wider business domain and opportunities

    Desirable Skills (full training provided) - • Experience with Google Cloud Platform - BigQuery, Dataflow, Dataproc, ML-Engine, AI-Platform, AutoML • Knowledge of NLP techniques • Version Control (Git) • Experience within the online retail space

    Wide range of benefits on offer including 25 days holiday with the option to buy/sell back 5 more. Flexible starting hours (between 8:00 and 10:00), every employee gets £1000 personal budget to spend on conferences and training a year, company healthcare plan with, Quarterly team events and paternity leave is 4 weeks at 100% pay. Generous Bonus scheme

    Apply now
  • Data Engineer 7 Dec 2020

    Boston United States

    001 calendar 23 Nov 2020 Fulltime

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    About Gradient AI: Gradient A.I. delivers state-of-the art artificial intelligence and Machine Learning solutions to the trillion-dollar insurance industry. AI has emerged as a disruptive force revolutionizing the way insurance professionals achieve their objectives, and Gradient A.I. is leading the charge. Our team is made up of Data Science and Insurance Technology experts with a history of building wildly successful technology companies. If you are passionate about making a difference for customers, and collaborating with passionate colleagues, then Gradient A.I. might be the right place for you.

    About the Role: We are looking for critical and creative thinkers to join our team as a Data Engineers. You are a multi-talented engineer who can target high-level problems and down and dirty details alike. In this role, you will have a hand in every stage of development, you're independent, and comfortable thinking creatively with tools such as Python, SQL, and the AWS ecosystem. You’re willing to learn new skills and technologies as the task at hand requires, and are adaptable to fluid and evolving project requirements.

    In this role, you will contribute materially towards shaping and realizing the vision of our business contribute towards fundamentally changing the way an entire industry does business (really).

    Responsibilities: Develop tools to extract and process client data from different sources, and tools to profile and validate data Coordinate with data scientists to transform large amounts of data and store it in a format to facilitate modeling Contribute to production operations, data pipelines, workflow management, and reliability engineering   

    Qualifications: BS/MS in Computer Science (or in another quantitative discipline), or equivalent experience and self-education; 3+ years of working experience Fluency in SQL, and experience with non-relational/alternative databases Fluency in Python Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.) Exposure working with a cloud-computing environment (e.g. AWS EC2) Comfortable with Linux, including developing shell scripts Experience working with Machine Learning and/or Artificial Intelligence is a bonus

    Work Authorization: US Work Authorization Required

    Apply now
  • Machine Learning Engineer 31 Dec 2020

    Tel Aviv Israel

    001 calendar 30 Nov 2020 Full-Time

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    We are looking for a talented ML engineer to join our core team, shape the roadmap and take a key role in the development and implementation of our core product and internal algorithms, working hand-in-hand with our first customers.

    Required:

    • 1+ years of hands-on experience in Python - Must
    • 2-5 years of hands-on software development
    • Hands on experience in developing using open source ML frameworks such as: scikit-learn, numpy, pandas, keras, tensorflow, pytorch
    • Experience with git, dockers, kubernetes and other CI \ CD concepts
    • Experience in developing in cloud environments (GCP \ AWS preferred)
    • Experience with linux based OS
    • Proficiency with SQL (RDBMS)
    • Experience in developing high scale data stream pipelines and architectures to production
    • Strong organizational, problem-solving and communication skills
    • Team player, can-do attitude

    Nice to have:

    • Experience with common Python frameworks such as: Flask \ - Django \ Celery
    • Experience working with NoSQL DBs
    • Experience in research for new ML \ DL algorithms
    • Hands on experience with common big data frameworks such as: Kafka \ Spark \ Flink \ etc
    Apply now
  • Data Engineer (AI/ML, QA/QC) 31 Dec 2020

    USA United States

    001 calendar 9 Nov 2020 Full-Time

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    Artificial Intelligence / Machine Learning, Quality Assurance / Quality Control Data Engineer

    Responsibilities:

    • Develop and implement standards and procedures to determine product quality and release readiness for AI/ML products
    • Deep knowledge of AI/ML algorithms and automated testing strategies
    • Apply state-of-the-art approaches and practices to our overall testing process across technical and conversational design and ops teams
    • Streamline and maintain the testing strategy for new development of content and data-driven content
    • Document the testing strategy and testing scripts for each system within our AI applications including computer vision, NLP and speech recognition
    • Create and distribute reports describing defects and resolutions
    • Maintain documentation for business requirements, technical - requirements, and testing Find opportunities to automate test scenarios
    • Participation in defining and reviewing business and technical requirements for features
    • Collaborate with developers, conversational designers/analysts to prevent issues with new products and features. Remove roadblocks to development through collaboration, communication, and creative solution recommendations
    • Develop, build, test, and maintain data pipeline architectures and tools
    • Identify ways to improve data reliability, efficiency and quality
    • Conduct research for industry and business questions
    • Prepares data for predictive and prescriptive modeling
    • Manage all ETL functions (Extract, Transform, Load
    • Recommend and drive development best practices and continuous integration and delivery as part of a forward-thinking, agile organization
    • Understand and implement best practices in the management of enterprise data

    Required Skills:

    • US Citizenship
    • Proven experience as a QA Tester or similar role
    • Expert knowledge of one or more object-oriented programming languages (Scala, Java, C++)
    • Ability to use several scripting languages (Python, Ruby, Bash, etc.)
    • Experience with Batch and Streaming data processing
    • Experience with SQL and basic database knowledge for modifying queries and tables
    • Working knowledge of the fundamentals of probability and basic statistics
    • Strong interpersonal skills and experience working on multi-functional projects
    • Flexibility to work in an agile context
    • Ability to pivot and adapt to evolving requirements
    • Attention to detail, analytical mind and problem-solving aptitude
    • Excellent communication skills
    Apply now
  • Machine Learning Architect 31 Jan 2021

    Bangalore India

    001 calendar 1 Dec 2020 Full Time

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    HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

    We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.

    At HP, the future is yours to create!

    At HP, we have been increasingly adopting and investing in machine learning to provide solutions helping to improve device performance and diagnostics, customer issue redressals, building an entire machine learning based ecosystem to further drive sales for HP as well as several other potential avenues. At HP PPS R&D Center, Bangalore, we have been developing solutions based on time-series analysis for printer part failure predictions so that a better insight can be provided into device health leading to proactive failure management. Other main area of research and development is on applying various Natural Language Processing (NLP) techniques to improve the way human agents attempt to guide customers, facing printer or other device issues, by incorporating human knowledge and experiences available in terms of case notes. This will help in providing a dynamic context-aware redressal steps instead of fixed and static steps. We are also on the way to provide deep learning (both Computer Vision and NLP) and recommendation-based solutions to a larger ecosystem which aims to integrate image search, purchase and print facilities.

    If you are our Machine Learning Architect in India, you will get an opportunity to work on below

    • Define the strategic direction, conceptualization and architecting business solutions around service delivery optimization, including reactive support, proactive/predictive maintenance, and usage driven service optimization.
    • Provide an outside in perspective on Customer and Market direction and reflect this in both Architecture and Quality focus.
    • Use Machine Learning and related AI areas in maximizing the use of data to develop system insights and build smart systems in the areas of service delivery optimization and Engineering Analytics
    • Work across multiple business units, stakeholders and technologists in roadmap definition, architecture and achieving desired outcomes
    • Drive Innovation across the Lab in the focus areas
    • Mentor Next level of Architects and play an active role in the TCP community.

    Are you a high-performer? We are looking for an individual with:

    • Deep knowledge of fundamentals of AI, Machine / Deep Learning, Data Mining and Predictive Modelling is required with solid experience in applying these techniques on real world problems
    • Strong skills in software engineering with expertise in applicable programming languages and frameworks such as XGBoost, Pytorch, Tensorflow, Keras.
    • Strong analytical, written and verbal communication skills.
    • Demonstrated ability to propose novel solutions to problems, performing experiments to prove feasibility of solutions and working to refine the solutions into real world context.
    • PhD or Masters degree in Machine Learning / Data Science / Statistics/ Computer Science/ related field with 4+ years of experience
    Apply now
  • Technical Training Specialist 30 Nov 2020

    Białystok | Kraków | Wrocław Poland

    001 calendar 1 Nov 2020 Full-Time

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    We are looking for a Technical Training Specialist who will become a mastermind of our training lab, create up-to-date technical training paths, and cooperate with the team of managers in developing technical competencies among employees. The role demands coordination of technical training actions including onboarding new developers and keeping track of IT development trends.

    Responsibilities - Maintaining current technical training paths and preparing new ones - also with the help of experts - Onboarding of new employees in the software development department - Software Developers, DevOps Engineers - Collecting information on the level of competences of new developers - Monitoring the progress in the technical development of employees, collecting and providing feedback to employees about the progress - Cooperation with project managers – participation in the creation of development plans for employees - Establishing, along with managers, if the competencies are complete and up-to-date - Verification of competencies assessment system and collection and analysis of its results - Identification of areas requiring improvement, collecting technical training needs - Looking after people on the bench - involvement in internal projects and development paths; collecting and providing feedback - Management of relationships with suppliers of training materials and certificates as well as partner companies (Pluralsight, Udemy, AWS, Azure, etc.)

    Requirements - Experience in working in the IT industry or technical background - Experience in the learning and development/training area - Higher education - Fluency in English - Strong interpersonal skills, goal-orientation, can-do attitude - “A match to our culture”- a team player with strong communication skills, focusing on what brings value, eager to drive change by taking the initiative and caring for an open and friendly atmosphere

    Apply now
  • Machine Learning Engineer 30 Nov 2020

    Białystok | Kraków | Wrocław Poland

    001 calendar 1 Nov 2020 Full-Time

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    We are looking for engineers who are passionate to stay at the forefront of machine learning technology, building state-of-the-art AI solutions for Fortune 500 businesses and launching these solutions into production.

    Responsibilities - Build systems that combine ML & deep learning techniques with classical AI approaches to solve real-life business problems - Research, develop, prototype and productionize machine learning solutions using various AI approaches - Choose the most suitable methods and models to apply to a particular use case - Work with large datasets to train, validate, optimize and deploy ML models

    Requirements - BS, MS or PhD in Computer Science or a related technical field involving Artificial Intelligence & Machine Learning - Strong problem-solving skills - The capability of translating business use cases into a concrete model development strategy - Strong programming skills in Python - Experience in using Python for analysis and modelling - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch) - Knowledge of statistical techniques and understanding their advantages and drawbacks - Very good communication skills - Very good command of English

    Nice to have - Experience using cloud services (AWS, Azure, GCP) - Familiarity with text processing and analysis - Familiarity with Tesseract - Familiarity with ML automation tools (MLflow, Metaflow) - Experience with R and R Keras

    Apply now
  • Research Engineer, Deep Learning 30 Sep 2020

    Various USA

    001 calendar 13 Aug 2020 Various

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    We’re looking for a Research Engineer - Deep Learning to join Team Snapchat! As a member of the Augmented Reality team, you will train state of the art Machine Learning models. Working closely with the Research team, you will collaborate with engineers and designers and find new ways to apply machine learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.

    What you’ll do: • Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters • Develop deep architectures and optimization techniques for cutting-edge solutions • Write production software used by millions of Snapchatters • Learn new techniques and stay on the cutting edge • Introduce major innovations that can lead to new product features or new areas of business • Work closely with other Snap teams to explore and prototype new product features

    Apply now

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