Generative AI Engineer - Machine Learning

Key Responsibilities :

- Apply expertise in Data Science, Generative AI, and Machine Learning to design and develop solutions.

- Work with AWS Cloud services to build, deploy, and manage AI/ML applications and infrastructure components.

- Develop and integrate backend components using Java and Microservices architecture.

- Utilize Python for data analysis, model development, scripting, and other Data Science tasks related to AI/ML projects.

- Collaborate effectively with cross-functional teams using Good Communication Skills.

- Design and implement various components of AI/ML pipelines.

- Explore and implement new Generative AI models and techniques.

- Contribute to the full development lifecycle of AI-driven applications, from concept to deployment.

- Troubleshoot and optimize AI/ML models and their integrations.

Mandate Skillset (Required Skills & Qualifications) :

- 5+ years of experience in relevant roles such as Data Science, Machine Learning Engineering, or Software Engineering with a focus on AI/ML.

- Expertise in Data Science, Generative AI, and Machine Learning concepts and practices.

- Experience with AWS Cloud services relevant to AI/ML workloads.

- Experience with Java and Microservices architecture.

- Proficiency in Python.

- Good Communication Skills.

Desired Skills (Plus Points) :

- Experience with specific Generative AI models (e.g., LLMs, specific frameworks).

- Experience with MLOps practices and tools.

- Experience with other AWS AI/ML services (e.g., SageMaker, Textract, Rekognition).

- Experience with other cloud platforms (Azure, GCP).

- Experience with database technologies.