AL/LLM Engineer with Python
15 hours ago
We are looking for both lead AILLM ENg-1, Mid lever AILLM Eng-2
Preferred candid
Job Title: Lead AI / LLM Engineer
Location: Hybrid / Remote
Department: AI & Data Science
Company: Avira Digital
About the Role
We are looking for an experienced Lead AI / LLM Engineer to drive the design, development, and deployment of advanced AI and GenAI solutions. This role will focus on LLM fine-tuning, prompt optimization, model evaluation, and production deployment for real-world enterprise use cases.
You will lead a small team of ML and AI engineers, collaborating closely with product and architecture teams to deliver scalable and intelligent AI solutions.
Key Responsibilities
- Lead end-to-end development of AI and GenAI projects — from data preparation to deployment.
- Design, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases.
- Build and manage RAG (Retrieval-Augmented Generation) pipelines and agentic AI systems.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Evaluate model performance, optimize accuracy, and ensure reliability and efficiency.
- Mentor junior engineers and contribute to building the internal AI knowledge base.
- Stay updated on the latest research in GenAI, multimodal learning, and transformer architectures.
Required Skills & Experience
- 6 years of overall experience in Machine Learning / AI, with at least 2+ years in LLM / GenAI projects.
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Transformers (Hugging Face).
- Proven experience in fine-tuning and deploying LLMs (e.g., GPT, Llama, Falcon, Mistral, etc.).
- Strong understanding of NLP, text embeddings, vector databases (FAISS, Pinecone, Chroma).
- Experience with LangChain / LlamaIndex and prompt engineering.
- Hands-on with cloud environments (AWS / Azure / GCP) and containerization (Docker, Kubernetes).
- Knowledge of MLOps, CI/CD for ML pipelines, and version control (Git).
Good to Have
- Experience in multimodal AI (text, image, voice).
- Exposure to open-source LLMs and custom fine-tuning techniques (PEFT, LoRA, QLoRA).
- Understanding of data privacy, AI governance, and responsible AI practices.
- Prior experience in leading small AI/ML teams.
Soft Skills
- Strong analytical and problem-solving mindset.
- Excellent communication and stakeholder management skills.
- Ability to drive innovation and foster a learning culture within the team.
Education
- Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or related field. ate profile
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