
actor - Artificial Intelligence/Machine Learning Engineer - Python
3 weeks ago
Job Summary :
We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI.
The ideal candidate will have strong proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems.
You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems.
Key Responsibilities :
- Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs.
- Implement and optimize RAG pipelines for knowledge-aware AI systems.
- Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications.
- Build and manage agentic AI systems capable of autonomous planning and decision-making.
- Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features.
- Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing.
Required Skills & Qualifications :
- 2+ years of experience in AI/ML development.
- Minimum 1 year of hands-on experience in Generative AI projects.
- Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn).
- Strong understanding of Large Language Models (LLMs) and transformer architectures.
- Experience building RAG pipelines and integrating vector search systems.
- Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers.
- Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic.
- Experience on working with cloud platforms
Tools & Technologies :
- Frameworks & Libraries : LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow
- Model Providers : OpenAI, Anthropic, Llama, Mistral
- Vector Stores : FAISS, Pinecone, Milvus
- APIs & Services : REST, GraphQL
- DevOps & Infra : Docker, AWS/GCP/Azure
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