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For Permanent and Contract in Boston

    Ref: 0916_1631829284

    Data Scientist and Machine Learning Engineer

    USA, Massachusetts, Boston

    • 150000 to 151000 GBP
    • Engineer Role
    • Skills: 4+ years Machine Learning or Data / Pyspark / Python / AWS / Database
    • Seniority: Senior

    Job description

    Job Description

    Responsibilities

    * Build and deploy machine learning models focused on ConcertAI's data sources including EHRs, Claims and Molecular test data
    * Drive the architecture of our application and data platform, considering the team and our future product roadmap.
    * Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
    * Design and develop production-ready APIs and algorithms at scale
    * Design, develop software that validates, transforms and loads patient health data from diverse sources, large scale structured and unstructured data
    * Build new features for internal and external users and refactor existing ones to make them better.
    * Drive optimization, testing and tooling to improve quality of solutions
    * Collaborate with product, data science, and business development teams to build a data and AI platform

    Requirements

    * 4+ years of experience developing healthcare data analytics products using the following programming languages: Python (Preferred), Java, SQL.
    * 4+ years of experience building ML models and data pipelines at scale (Pyspark preferred)
    * 4+ years of experience with database and SQL (AWS Redshift (Preferred), Postgres and GraphDB)
    * Strong experience consuming, integrating, building and deploying third party library/Web API's into core product services
    * Deep expertise in NLP and/or machine learning, deep learning using Spacy, Tensorflow, PyTorch, Keras
    * Proficiency with microservices development, containerization, orchestration and deployment in a Linux environment is an added advantage
    * Expert level knowledge of distributed computing, optimization techniques and multiprocessing design principals using Python.
    * Exceptional attention to detail along with strong communication skills

    Ref: sr.hardware/kw/11/19_1637347187

    Sr. Process Equipment Engineer

    USA, Massachusetts, Boston

    • 75 to 80 USD
    • Engineer Role
    • Skills: hardware engineer, process equipment engineer, mechanical engineer, chemical engineer, industrial engineer, design, build, test mechanical hardware, CAD
    • Seniority: Mid-level

    Job description

    Job Title:Senior Process Equipment Engineer

    Duration: 6month contract to hire

    Location: Easton, MA

    Industry: Life Sciences

    The Successful Candidate Must:

    · Background in Chemical or Mechanical Engineering or proficient industry experience

    · Have a demonstrated track record of building electromechanical process equipment from start to finish



    · Have a proficiency in CAD (SolidWorks) and other essential computer skills

    · Be eager to get involved in hands-on work (up to prototype assembly and operating in a small machine shop)

    · Possess hands-on engineering experience related to pneumatic, hydraulic, material fatigue, manufacturing, control systems, etc.



    Nice to Haves:

    · Electrical Engineering and industrial automation experience (PLCs, IIoT) would be considered very helpful

    · Familiarity with regulatory compliance requirements for food, chemical or pharmaceutical process equipment is a definite plus



    Primary Duties:

    · Mechanical Equipment Design

    · Prototype Building

    · Equipment Testing

    · Technical Documentation

    · Product Management

    · Customer Support



    Additional Duties:

    · General machine shop maintenance

    · Writing application notes, protocols, manuals, etc.

    · Presentation of research results to colleagues and at conferences and trade shows. Strong verbal and presentation skills are a definite plus.

    · Interaction with engineering team to provide feedback and suggest ideas to improve our products

    · Customer and sales team training and preparation of training materials, which requires a strong grasp of spoken and written English and the ability to clearly explain complex concepts and ideas.



    Apply Today!