Senior Machine Learning Engineer

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 *Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.* *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.*