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Senior Machine Learning Engineer

Norstella

Remoteremote globalPosted Jul 24, 2026
Posting intelligenceActively listed

Skills

snowflakepandaspythonnumpyawsecsllmml

About the role

Description

About Norstella

Norstella is a group of prominent pharmaceutical solutions providers – Evaluate, MMIT, Panalgo, The Dedham Group, Citeline – that help clients navigate complexities at each step of the drug development life cycle, from pipeline to patient. For more information, please visit Norstella.com.

The Team

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.

Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.

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

All other duties, as assigned

What it Takes

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

Benefits:

Medical and Prescription Drug Benefits

Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)

Dental & Vision Benefits

Basic Life and AD&D Benefits

401k Retirement Plan with Company Match

Company Paid Short & Long-Term Disability

Paid Parental Leave

Paid Time Off & Company Holidays

All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: ApplicationHelp@norstella.com.

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