Generative AI Engineer - PyTorch/Tensorflow (5-8 yrs)

Job Title : Generative AI Engineer

Years of Experience : 5+ years

Qualifications : Any UG/PG

Location : Remote

Employment Type : Contract / Full-Time Employment (FTE)

Required by Date : Immediate start

Job Description :

- Design, develop and implement Gen AI models and algorithms to develop copilot solutions (leveraging unstructured and structured data) that identify and translate data to feed RAG, AI inferencing engines, data lakes.

- Collaborate with other team members to integrate the AI solution

- Optimize and fine-tune AI models for performance, scalability, and efficiency.

Desired Skills :

- Strong proficiency in in LLMs and Generative AI platforms (Anthropic, OpenAI)

- Prompt engineering and LLM optimization techniques, Retrieval-Augmented Generation (RAG) architectures

- Vector database implementations (Postgres, OpenSearch, Pinecone, or Weaviate), AI Agent development and orchestration

- Enterprise API development and integration

- Proven experience in developing and deploying generative AI models (e.g., GANs, VAEs, transformers).

- Strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.

- Solid understanding of machine learning algorithms, neural networks, and deep learning techniques.

- Experience with natural language processing (NLP) techniques and tools, such as SpaCy,

NLTK, or Hugging Face

Good to Have :

- Experience with Azure cloud platform, including Azure Data Factory, Azure Databricks, Azure Machine Learning, and Azure Synapse Analytics.

- Excellent problem-solving and analytical skills.

- Experience with SQL and NoSQL database (Mongo DB)

- Familiarity with cloud-native tools and technologies (e.g., Docker, Kubernetes) is a plus.