Senior AI ML Engineer (Gen AI / Generative AI)

We are seeking a highly skilled and innovative Senior AI/ML Engineer with hands-on experience in Generative AI (AI Gen) to join our technology team. You will be responsible for designing, developing, and deploying advanced machine learning models, including LLMs, NLP solutions, and generative architectures, to support product and business innovations.

You will collaborate with product managers, engineers, and data scientists to create AI-powered solutions across mobile, web, and enterprise platforms. The ideal candidate is passionate about AI, keeps pace with current research, and can translate complex algorithms into practical applications.

This role demands technical expertise, problem-solving skills, and ownership in designing, developing, and optimizing scalable applications.

Key Responsibilities

• Design and implement AI/ML models with a focus on Generative AI (e.g., LLMs, GPT, transformers, diffusion models).
• Fine-tune and deploy pre-trained models for domain-specific applications.
• Collaborate with cross-functional teams to integrate AI solutions into mobile and web applications.
• Build and maintain scalable pipelines for data ingestion, model training, and inference.
• Optimize models for performance, scalability, and responsiveness.
• Stay updated with the latest in AI research and apply state-of-the-art techniques.
• Conduct A/B testing and monitor model performance in production.
• Document experiments, findings, and model behaviors for internal knowledge sharing.

• 4+ years of experience in AI/ML engineering or data science.
• Deep understanding of machine learning, deep learning, and NLP.
• Hands-on experience with generative models like GPT, BERT, T5, Stable Diffusion, or similar.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with LLM fine-tuning, prompt engineering, and model evaluation.
• Familiarity with MLOps, model versioning, and deployment (e.g., MLflow, Docker, FastAPI).
• Experience working with cloud platforms (AWS, Azure, or GCP).

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Familiarity with LangChain, LlamaIndex, or other retrieval-augmented generation (RAG) tools.
• Understanding of ethical AI, bias mitigation, and responsible AI practices.
• Knowledge of data privacy and security as it relates to AI applications.
• Prior experience building AI chatbots or assistants.

Skills: gpt,python,ai,a/b testing,hugging face transformers,machine learning,model versioning,llms,stable diffusion,mlops,artificial intelligence,bert,ml,cloud platforms (aws, azure, gcp),mlflow,docker,generative ai,tensorflow,nlp,fastapi,gen ai,t5,pytorch