EPAM Systems
1 month ago
Senior AI Engineer
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Company information
- Company
- EPAM Systems
- Location
- Chennai, India India
- Posted
- 1 month ago
Job description
We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.
Responsibilities
- Build and deploy scalable AI/ML models and GenAI solutions in production
- Design and maintain robust ETL pipelines and data workflows
- Develop LLM-based applications using modern frameworks
- Implement prompt engineering techniques for optimized AI outputs
- Deploy models via APIs and integrate with enterprise applications
- Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
- Collaborate with cross-functional teams to deliver business-driven AI solutions
Requirements
- 5-8 years of general IT experience
- 5+ years of experience in AI Engineering
- Strong programming skills in Python
- Hands-on experience with ETL and data pipelines
- Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience in prompt engineering and working with LLMs
- Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
- Cloud experience working with Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
- Strong experience in API development and model deployment
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Experience with RAG architectures and vector databases
- Knowledge of real-time or streaming data pipelines
- Exposure to scalable system design and microservices architecture
- Familiarity with Databricks and PySpark
- Experience with cloud data solutions and ETL pipelines
Required skills
- databricks
- python
- aws
- pytorch
- prompt engineering
- microservices architecture
- airflow
- gcp
- azure
- vector databases
- apis
- pyspark
- tensorflow
- llamaindex
- mlflow
- mlops
- etl pipelines
- langchain
- ai engineer
- scikit-learn
- kubeflow
- ai/ml models
- rag architectures
- hugging face
- data workflows
- llm-based applications
- genai solutions
- streaming data pipelines
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