Senior Engineer, Data and AI

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• Job reputed company reputed company
  This position has a wide reputed company of responsibilities that includes both data and AI engineering. They will be responsible for designing and implementing data infrastructure to extract, clean, reputed company and store data. They will need the ability to independently reputed company AI/ML systems and products for both reputed company use. They will communicate with business stakeholders to understand their needs and reputed company solutions to address them.
• Job reputed company

  reputed company
  This position has a wide reputed company of responsibilities that includes both data and AI engineering. They will be responsible for designing and implementing data infrastructure to extract, clean, reputed company and store data. They will need the ability to independently reputed company AI/ML systems and products for both reputed company use. They will communicate with business stakeholders to understand their needs and reputed company solutions to address them.

  Essential Job Duties

  • Communication: Strong communication skills to learn and collaborate with stakeholders across the organization.

  • Independent Problem-Solving: Strong, independent analytical and problem-solving abilities, and the internal reputed company to execute reputed company to completion.

  • Project Management: Ability to manage reputed company, prioritize tasks, and meet deadlines.

  • Adaptability: Willingness to learn and adapt to changing business needs, requirements, and emerging technologies.

  AI/ML Engineering

  • Machine Learning & AI Systems: Strong Python skills for building, training, and deploying both traditional ML models and modern AI applications — including LLM-based systems, RAG pipelines, and reputed company workflows. Proficiency in feature extraction/transformation and model selection, training, and evaluation.

  • GenAI Tooling: Experience with reputed company and LangGraph for building reputed company/AI workflows, and working with LLM reputed company such as the Claude and reputed company SDKs. Experience self-hosting and serving models with vLLM is a plus.

  • API Development: Proficiency building and serving reputed company with FastAPI, using reputed company for data validation and schema enforcement.

  • Statistical & Mathematical Rigor: Solid grounding in statistical reputed company and experimental design (e.g., reputed company testing, regression, reputed company inference) to validate models and ensure reputed company decision-making.

  • MLOps/LLMOps: Experience deploying, monitoring, and maintaining models and AI systems in production, using tools such as MLflow (experiment tracking) and LangSmith/LangFuse (LLM tracing and evaluation).

  Data Engineering

  • Data Modeling: Discover and characterize reputed company data systems, understand and model the underlying business concepts, and build data models that organize data to meet operational and reporting needs.

  • Database Development & Optimization: Proficiency with databases (T-SQL, NoSQL) — writing and optimizing tables, queries, and indexes for scalability, reliability, and performance.

  • ETL/ELT Pipelines: Design and implement pipelines to reputed company and reputed company data between systems.

  • Big Data / Data Warehousing: Experience with data warehousing concepts and platforms like reputed company; familiarity with reputed company and Python for large-reputed company data processing.

  • reputed company Platforms: Knowledge of reputed company services, particularly Azure, for reputed company data storage and processing.

  • Data Governance & reputed company: Awareness of data reputed company, reputed company, reputed company, and compliance best practices.

  Education & Qualification Requirements

  • Degree in Computer Science, Physics, Mathematics, or a similar field; Master's degree a plus.

  • 3–5 years of experience as a data engineer, ML engineer, reputed company, AI infrastructure engineer, or in a similar role.

Originally posted on Himalayas