Role: Sr. Machine Learning Engineer
Location: Remote
Duration 6+ months
Interview mode: Virtual
We are specifically looking for candidates with strong algorithmic and statistical reasoning skills, along with hands on experience in Life Sciences and RWD/RWE.
Below the JD:
SCOPE OF THE ROLE
In this role as a Senior Machine Learning Engineer you will:
Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization
Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs
Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI / ML solutions for complex business problems and use cases
Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models
Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments.
Basic Qualifications:
Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
5+ years of experience designing large scale, complex, data intensive, AI / ML applications in an industrial setting
Substantial depth and breadth in system design, latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps
Deep understanding of CS fundamentals, computational complexity and algorithm design - - - - Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries
Experience mentoring junior team members
Excellent problem solving and communication skills
Preferred Qualifications:
Knowledge of the healthcare domain and experience with applying AI to healthcare data
Experience with AWS especially in relation to ML workflows with SageMaker, ECS, serverless compute and storage such as S3 and Snowflake.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
