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ZoomInfo Technologies LLC
Waltham, MA, United States
At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. ZoomInfo is looking for an experienced profession
Job Source: ZoomInfo Technologies LLCZoomInfo Technologies LLC
Waltham, MA, United States
At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. ZoomInfo is looking for an experienced profession
Job Source: ZoomInfo Technologies LLC1910 Genetics
Boston, MA, United States
Company Overview 1910 Genetics is the only company that has built a synergistic, dual-purpose small and large molecule platform that integrates artificial intelligence (AI), computation, and biological automation to design drug-like molecules better, faster, and cheaper than traditional approaches. Based in the Seaport District of Boston, 1910
Job Source: 1910 Genetics1910genetics
Boston, MA, United States
Lead, Machine Learning Engineering & AI Research Computation is revolutionizing drug discovery. Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs. At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in
Job Source: 1910geneticsBerkshire Grey
Bedford, MA, United States
Minimum Qualifications: Master's degree in Machine Learning, Computer Vision, Robotics, Computer Science or a closely related field. 10+ years of experience in software development with a focus on machine learning. Experience leading small technical teams. Demonstrated capability to train and analyze machine learning models to solve real-world pro
Job Source: Berkshire GreyBerkshire Grey
Bedford, MA, United States
Minimum Qualifications: Master's degree in Machine Learning, Computer Vision, Robotics, Computer Science or a closely related field. 10+ years of experience in software development with a focus on machine learning. Experience leading small technical teams. Demonstrated capability to train and analyze machine learning models to solve real-world pro
Job Source: Berkshire GreyIkigai Labs, Inc.
Cambridge, MA, United States
Ikigai Labs seeks a dynamic and passionate engineer with strong software fundamentals to join a high-performing Machine Learning team. We are looking for a team player who is a quick learner, performs in a rapid development cycle, has a drive to surpass expectations, and an eagerness to share their work and knowledge. We encourage applicants from
Job Source: Ikigai Labs, Inc.Beth Israel Lahey Health
Boston
**Job Type:** Regular **Time Type:** Full time **Work Shift:** Day (United States of America) **FLSA Status:** Exempt **When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.** Beth Israel Deaconess Medical Center and Harvard Medical School has an exciting opportunity to join our team as a M
Job Source: Beth Israel Lahey HealthBoston, MA, United States
WHAT YOU’LL DO
As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bain’s Advanced Analytics Group, you will:
Develop, deploy and support industry-leading machine learning solutions, aimed at solving client problems across industry verticals and business functions
Provide thought championing in state-of-the-art machine-learning techniques
Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data-driven solutions for Bain clients across a variety of sectors
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Partner closely with other engineering and product specialists at Bain to support development of innovative analytics solutions and products
Transform existing prototype code into optimized scalable, production-grade software
Manage the development of re-usable frameworks, models and components
Drive best practices in machine learning engineering and MLOps
Develop relationships with external data and analytics vendors
Act as Professional Development Advisor to a team of 3-5 machine learning engineers
Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities
Help develop Advanced Analytics intellectual property and identify areas of new opportunity for data science and analytics for Bain and its clients
Travel is required (30%)
ABOUT YOU
Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
10+ years of software engineering, analytics development or machine learning engineering experience
3+ years of experience managing data scientists and ML engineers
Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
Solid understanding of foundational machine learning concepts and algorithms
Broad experience deploying production-grade machine learning solutions on-premise or in the cloud
Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
Experience implementing ML automation, MLOps (scalable development to deployment of complex data science workflows) and associated tools (e.g. MLflow, Kubeflow)
Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform)
Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks
Familiarity with Agile software development practices
Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and clients
Ability to collaborate with people at all levels and with multi-office/region teams
Ability to work without supervision and juggle priorities to thrive in a fast-paced and ambiguous environment, while also collaborating as part of a team in complex situations
ADDITIONAL SKILLS
Proficiency with core techniques of linear algebra (as relevant for implementation of ML models) and common optimization algorithms
Experience using distributed computing engines, e.g. Dask, Ray, Spark
Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask
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Email Alert for Director, Machine Learning Engineering jobs in Boston, MA, United States
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