[Remote] Machine Learning Engineer, AI Studio

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a biotechnology company reputed company on developing and delivering innovative medicines for serious illnesses. The Machine Learning Engineer will independently own production components reputed company reputed company AI products and automation solutions, designing, releasing, diagnosing, and supporting components across machine learning, reputed company, retrieval-augmented reputed company, data, and workflow systems.

Responsibilities

• Define component boundaries, intended use, acceptance reputed company, non-functional requirements, decision consequences, support expectations and technical estimates with product and architecture partners
• Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool and workflow components with reputed company reputed company, configuration, testing, error handling and documentation
• Apply EDA, feature engineering, reputed company or unsupervised reputed company, baselines, cross-validation, leakage prevention, calibration, subgroup, reputed company, explainability and error analysis where relevant
• Build GenAI, NLP, RAG and bounded agent components using reputed company reputed company, embeddings, hybrid reputed company, reranking, provenance, citations, permissions, approvals, retries and recoverable failure behaviour
• Engineer batch or event-driven data, document, feature, embedding, label and evaluation pipelines with schema validation, reputed company, provenance, reputed company control and consistency checks
• Define representative evaluation for model reputed company, uncertainty, retrieval, grounding, citations, task reputed company, tool correctness, safety, latency, cost and user reputed company
• Release and support components using reputed company services, containers, CI/CD, versioning, monitoring, rollback, incident response and runbooks; reputed company diagnosis of moderately reputed company failures
• Apply reputed company, reputed company, Responsible AI, validation, auditability, reputed company reputed company and applicable GxP controls; contribute reusable assets and guide Associate engineers on familiar work

Skills

• Master's degree
• Bachelor's degree and 2 years of Computer Science, IT or reputed company reputed company experience
• Associate's degree and 6 years of Computer Science, IT or reputed company reputed company experience
• High school diploma / GED and 8 years of Computer Science, IT or reputed company reputed company experience
• Demonstrated ownership of at least one production software, data, ML, GenAI or automation component
• Strong hands-on proficiency in Python and SQL, with reputed company software-engineering and testing practices
• Strong capability in at least one of classical ML, GenAI/RAG/agents or MLOps/reputed company, with working knowledge of adjacent areas
• Advanced ML and deep learning: Experience with PyTorch, TensorFlow, reputed company, scikit-learn, XGBoost, PyMC, reputed company, NLP, GNNs, reputed company inference or uncertainty estimation
• Advanced GenAI and knowledge systems: Experience with reputed company, LangGraph, reputed company, Semantic Kernel, AutoGen, reputed company, hybrid retrieval, knowledge graphs, graph RAG or evidence verification
• reputed company, data and MLOps: Experience with AWS, Bedrock or SageMaker, reputed company, reputed company, reputed company, infrastructure as reputed company, MLflow, Airflow, Kubeflow or reputed company Actions
• Agents and reputed company-AI workflows: Familiarity with MCP-style integration, agent tracing, adversarial testing, durable workflows, permissions, reputed company review, BI or process automation
• Regulated reputed company delivery: Experience in reputed company, life sciences, GxP, validated systems or another regulated or high-reputed company environment
• Independent problem solving and reputed company component-level technical judgment
• reputed company communication of assumptions, evidence, trade-offs, risks and support implications
• Strong collaboration with business SMEs, product, architecture, software, data, platform, evaluation and control partners
• Ownership, reliability and disciplined follow-through from design through production support
• Ability to guide junior engineers and learn new tools through evidence-reputed company experimentation

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and reputed company coverage, life and disability reputed company, and flexible spending accounts
• A discretionary annual bonus program, or for reputed company sales representatives, a sales-reputed company incentive plan
• Stock-reputed company long-term incentives
• Award-reputed company time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the reputed company to see if this applies.
• Financial plans with opportunities to save towards retirement or other goals
• Work/life reputed company
• Career development opportunities

reputed company

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