Ai Data Engineer

Role : AI Data Engineer
Location: @Chennai (HYBRID)
Total Experience: 5+ years
Hybrid - 2 days office 3 days from home
JobDescription:
Responsibilities :
Building tooling and systems to enable the delivery of advanced AI tools, which range from
models as a service, to custom build models and Large Language Models.
Working with data scientists to design the operating model for AI systems (ML Ops and LLM
Ops).
In addition to building services, you will design and develop frameworks and boiler plate to
accelerate the adoption of AI driven services with the product portfolio.
Maintaining the AI systems and providing expert guidance to teams adopting tools and
frameworks.
Working closely with BAs to document the existing systems and architect new solutions.
Working within architecture norms and standards; creating these where they don't exist.
Working directly on enterprise systems and the teams that use them.
Closely collaborate with business stakeholders to implement AI driven product components
and functionality.
Key experience
The ideal candidate will have:
Experience working with applications and data in a cloud environment.
Experience in working with data pipelines, data warehouses, data lakes, and data quality
tooling.
Proficiency in: SQL & Python
Experience with Microsoft services such as Databricks & Azure Services
Experience in working with RESTful APIs and microservices.
Experience in working with agile methodologies
Experience in working in any container environment
Nice to have experience:
Knowledge of AI and machine learning concepts, frameworks and tools, such as TensorFlow,
PyTorch, Scikit-learn, Deep learning, LLM, Embeddings, Google Vertex, Amazon SageMaker
Experience in building and deploying scalable and robust AI solutions, , C/C#, using best
practices such as MLOps, LLM Ops, CI/CD, testing, monitoring, etc.
Experience in working with distributed computing, such as Spark, Hadoop, Kafka, etc.
Skills
The ideal candidate will have:
Excellent communication and collaboration skills, both verbal and written.
Strong analytical and problem-solving skills, with attention to detail and quality.
Ability to learn new technologies and tools quickly and independently.
Ability to work in a fast-paced and dynamic environment, with changing priorities and
deadlines.
Ability to work effectively with cross-functional teams and stakeholders, both internal and
external.