Sr Data AI/ML Engineer

3 hours ago

Pune, Maharashtra, India Svitla Systems Inc Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Sr Data AI/ML Engineer

Location: Remote

Skillset: Azure, Data Eng., Python

Job Description:

Your Day-to-Day responsibilities include:

  • Design and development of systems for the maintenance of the Azure Databricks, ETL processes, business intelligence and data ingestion pipelines for AI/ML use cases.
  • Build, scale, and optimize GenAI and ML workloads across Databricks and other production environments, with strong attention to costefficiency, compliance, and robustness
  • Build ML pipelines to train, serve, and monitor reinforcement learning or supervised learning models using Databricks and MLFlow.
  • Create and support ETL pipelines and tables schemas in order to facilitate the accommodation of new and existing data sources for the Lakehouse on Databricks.
  • Maintain data governance and data privacy standards.
  • Collaborate with data architects, data scientists, analysts and other business consumers to quickly and thoroughly analyze business requirements to populate the data warehouse, optimized for reporting and analytics.
  • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Maintain technical documentation and mentor junior data engineers on best practices in data engineering and Lakehouse architecture.
  • Drive innovation and contribute to the development of cutting-edge Generative AI and analytical capabilities for the client's Next-Gen research enablement platform.

Minimum Qualifications:

  • 7+ years of related experience with a bachelors degree
  • Proven experience designing and deploying applications using Generative AI and large language models (e.g., GPT4, Claude, openweight LLMs)
  • Experience with retrievalaugmented generation, embeddingsbased search, agent orchestration, or prompt chaining
  • Familiarity with modern LLM/GenAI tools such as Langchain, LlamaIndex, HuggingFace Transformers, Semantic Kernel, or LangGraph.
  • Advanced working SQL knowledge and experience working with relational and NoSQL databases, query authoring (SQL) as well as working familiarity with a variety of databases (e.g. SQL Server)
  • Experience building and optimizing data pipelines on Azure Databricks.
  • In depth knowledge and hands-on experience with Data Engineering, Machine learning, Data Warehousing and Delta Lake on Databricks.
  • Highly proficient in Spark, Python, SQL
  • Working knowledge of Fivetran is a bonus.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Exceptional stakeholder management and communication skills to effectively communicate

    across global teams.

Preferred Qualifications:

  • Knowledge of BI Tools like PowerBI etc.
  • Experience building and deploying ML and feature engineering pipelines to production using MLFlow.
  • Experience with building data pipeline from various business applications like Salesforce, NetSuite, etc.
  • Knowledge of message queuing, stream processing, and highly scalable data stores.
  • Experience or knowledge of working in a compliance-based environment, including building and deploying compliant software solutions throughout the software life cycle is a nice to have.
  • Familiarity with cloud-based AI/ML services and Generative AI tools.

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