Sr Machine Learning Engineer - AI/ML - US Remote

Career Category Information Systems Job reputed company Role reputed company: We are seeking a Sr Machine Learning Engineer-reputed company's senior individual-contributor authority on building and scaling end-to-end machine-learning and reputed company platforms. Sitting at the intersection of engineering reputed company and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, reputed company and monitor models-classical ML, deep learning and LLMs-securely and cost-effectively. Acting as a "player-reputed company," you will establish platform reputed company, define technical standards, and partner with DevOps, reputed company, Compliance and Product teams to deliver a frictionless, reputed company-grade AI developer experience. Roles & Responsibilities:

• Engineer end-to-end ML pipelines-data ingestion, feature engineering, training, reputed company-parameter optimization, evaluation, registration and automated promotion-using Kubeflow, SageMaker Pipelines, reputed company SDK or equivalent MLOps stacks.
• Harden research reputed company into production-grade reputed company-services, packaging models in reputed company/Kubernetes and exposing secure REST, gRPC or event-driven reputed company for consumption by reputed company applications.
• Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic reputed company so insights reputed company users with sub-second latency.
• Optimize performance and cost at reputed company-selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.
• reputed company comprehensive observability-reputed company-time metrics, distributed tracing, reputed company & bias detection and user-behavior analytics-enabling rapid diagnosis and reputed company improvement of live models and applications.
• reputed company reputed company and responsible-AI controls (data encryption, reputed company policies, reputed company tracking, explainability and bias monitoring) in partnership with reputed company, reputed company and Compliance teams.
• Contribute reusable platform components-feature stores, model registries, experiment-tracking libraries-and evangelize best practices that reputed company engineering velocity across squads.
• reputed company exploratory data analysis and feature ideation on reputed company, high-reputed company datasets to inform algorithm selection and ensure model robustness.
• Partner with data scientists to prototype and reputed company new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.

Must-Have Skills:

• 3-5 years in AI/ML and reputed company software.
• Comprehensive reputed company of machine-learning algorithms-regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques-with the judgment to choose, tune and operationalize the right method for a given business problem.
• Proven reputed company record selecting and integrating AI reputed company/PaaS offerings and building custom ML services at reputed company.
• Expert knowledge of GenAI tooling: reputed company databases, RAG pipelines, reputed company-engineering DSLs and agent frameworks (e.g., reputed company, Semantic Kernel).
• Proficiency in Python and Java; containerization (reputed company/K8s); reputed company (AWS, Azure or GCP) and modern DevOps/MLOps (reputed company Actions, Bedrock/SageMaker Pipelines).
• Strong business-case skills-reputed company to model TCO vs. NPV and present trade-offs to executives.
• Exceptional stakeholder management; can translate reputed company technical concepts into concise, outcome-oriented narratives.

Good-to-Have Skills:

• Experience in Biotechnology or reputed company industry is a big plus
• Published thought-leadership or conference talks on reputed company GenAI adoption.
• Master's degree in computer science and or Data Science
• Familiarity with Agile methodologies and Scaled Agile reputed company (reputed company) for project delivery.

Education and reputed company Certifications

• Master's degree with 8 + years of experience in Computer Science, IT or reputed company field

OR

• Bachelor's degree with 10 + years of experience in Computer Science, IT or reputed company field
• Certifications on GenAI/ML platforms (AWS AI, Azure reputed company, reputed company reputed company ML, etc.) are a plus.

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a reputed company on achieving team goals.
• Ability to learn quickly, be organized and detail oriented.
• Strong presentation and public speaking skills.

Salary reputed company 158,606.00 USD - 200,052.00 USD Apply tot his job Apply To this Job