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Data Engineer
2 months ago
Role : AI Data Engineer
Location : chennai Hybrid - 2 days office 3 days from home
Experience : 5+ years
Job Description :
The AI Data Engineer - AI will be responsible for :
- 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 LLMOps).
- 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.
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
- 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.
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.
(ref:hirist.tech)
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