Lead Data & AI Engineer

Ovii's Interpretation of the Role

The Lead Data & AI Engineer will architect and deliver enterprise‑scale data platforms, machine‑learning pipelines, and generative‑AI solutions on AWS. The role blends deep technical expertise with customer‑facing consulting, mentorship, and practice‑building responsibilities.

Role Snapshot

• Lead design of scalable data & AI platforms
• Build production ML and GenAI applications
• Implement end‑to‑end MLOps pipelines
• Architect AWS‑native data & AI services
• Mentor and grow Data & AI engineers
• Drive customer workshops and presales
• Create reusable frameworks and accelerators

Must-Have Requirements

• Python
• SQL
• Apache Spark
• Kafka
• Airflow
• AWS SageMaker
• AWS Bedrock
• AWS Glue
• AWS Athena
• AWS Redshift
• AWS EMR
• AWS Kinesis
• AWS Lake Formation
• AWS OpenSearch
• TensorFlow
• PyTorch
• Scikit‑Learn
• MLflow
• Kubeflow
• SageMaker Pipelines
• LangChain
• Hugging Face
• OpenAI APIs
• Anthropic APIs
• Pinecone
• Weaviate
• Chroma
• Data Engineering
• Machine Learning
• Generative AI
• AWS cloud services
• Bachelor's or Master's in Computer Science
• Bachelor's or Master's in Data Engineering
• Bachelor's or Master's in Data Science
• Bachelor's or Master's in Artificial Intelligence
• Bachelor's or Master's in Statistics
• Bachelor's or Master's in Mathematics
• AWS Certified Data Analytics – Specialty
• AWS Machine Learning – Specialty
• AWS Solutions Architect – Professional
• Must hold one of: AWS Certified Data Analytics – Specialty, AWS Machine Learning – Specialty, AWS Solutions Architect – Professional

Nice-to-Have Signals

• Databricks
• Snowflake
• BigQuery
• Databricks Data Engineer Professional
• SnowPro Certification
• Google Professional Data Engineer
• Azure Data Engineer Associate
• AWS AI Practitioner
• Data governance platforms (familiarity)
• Regulated industry experience (optional)
• Regulated industry experience
• Open‑source contributions

Work Setup

• Location: Pune, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Coding test

What You'll Likely Work On

• Design and implement data lakes, lakehouses, warehouses, and real‑time streaming architectures on AWS
• Develop, train, and operationalize ML models and generative‑AI solutions using LLMs and RAG pipelines
• Build and maintain MLOps frameworks for model lifecycle, monitoring, and governance
• Architect end‑to‑end cloud‑native data & AI services leveraging SageMaker, Bedrock, Glue, Athena, and related AWS services
• Lead discovery workshops, translate business needs into technical designs, and support presales activities
• Mentor engineers, conduct architecture and code reviews, and define practice standards
• Contribute reusable accelerators, frameworks, and intellectual property for the Data & AI practice

Good Fit If You Have

• Experience in regulated sectors such as BFSI, healthcare, manufacturing, or telecom
• Open‑source contributions or community involvement in data/AI ecosystems
• Familiarity with data‑governance and observability platforms
• Strong consulting mindset and ability to drive business outcomes