Senior AI Engineer - Machine Learning

Job Overview :

Required Skills & Qualifications :

- Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

- Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.

- Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).

- Proficient in key AI libraries and frameworks :

• LLMs & GenAI : Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP : SpaCy, NLTK.
• Vision : OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps : MLflow, FastAPI, Docker, Git

- Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.

- Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.

- Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications :

- Experience building multimodal systems (text + image, etc.)

- Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities :

- Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.

- Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.

- Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.

- Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.

- Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.

- Optimize models for performance, cost-efficiency, and low latency in production.

- Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.

- Mentor junior AI engineers and contribute to internal AI best practices and documentation.