Data Engineer

2 months ago

chennai, India HNM Solutions Full time

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.
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.


(ref:hirist.tech)

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