Description

Build AI/ML technology stacks from concept to production, including data pipelines, model training, and deployment.

Responsibilities

• Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), and LLM-based applications.
• Design and implement AI-driven automation using agentic AI systems and orchestration frameworks.
• Leverage cloud AI infrastructure (AWS, Azure, GCP) for scalable deployment and performance tuning.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Required Skills

• 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs.
• Proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow.
• Experience with LLMs such as Llama, Mistral, and GPT.
• Hands-on experience with API development using Flask or Django.
• Familiarity with data processing frameworks like Databricks and Airflow.
• Knowledge of advanced prompt engineering techniques (Chain of Thought, Few-Shot, Self-Consistency).
• Experience in AI workflow automation and model orchestration.
• Experience with cloud platforms including AWS, Azure, and GCP.

Preferred Skills

• Master’s or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering or a related field.

Key Skills

Education

Bachelor's or Master's degrees