Senior Engineer - Generative AI

Mandatory skills:

- Data Science Gen AI, ML

- Cloud - AWS

- Java, Microservice

- Data Science Python

- Good Communication Skills

Additional Information:

- Experience: 5-8 Yrs

- Shift Timings: 1:30 pm to 10:30 pm IST +-1 hrs

Technical Expertise :

Must-Have :

- Proficient in Java (must have)

- Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker

Good to have:

- Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas

- Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment

- Familiarity with other platforms like Google Gemini and Copilot technologies

Soft Skills:

- Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams

- Strong problem-solving and analytical skills

- Ability to work with teams in a dynamic, fast-paced environment

Responsibilities :

- Design, develop, and implement AI and machine learning models using AWS AI services like AWS Bedrock and Sagemaker

- Fine-tune and optimize AI models for business use cases

- Implement Generative AI solutions using AWS Bedrock and Java

- Write efficient, clean, and maintainable Java/Python code for AI applications

- Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption

Experience :

- 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects

- Demonstrated experience in deploying and managing AI applications in production environments