Generative AI Engineer

Role & responsibilities

About the Role

We are looking for candidates with AI/ML experience on Azure (Azure ML, Azure OpenAI, Document Intelligence), AWS (SageMaker, Bedrock, Agents, Q), or GCP (Vertex AI, Google AI Platform) Kubernetes, serverless functions, and MLOps tools.

Responsibilities

• AI/ML experience on Azure (Azure ML, Azure OpenAI, Document Intelligence)
• AWS (SageMaker, Bedrock, Agents, Q)
• GCP (Vertex AI, Google AI Platform)
• Kubernetes, serverless functions, and MLOps tools

Qualifications

• Bachelors or Masters in Computer Science, AI/ML, Data Science, or related field
• 318 years of hands-on AI/ML engineering experience

Required Skills

• Strong experience with Generative AI models (LLMs, Transformers, GANs, Diffusion Models)
• Experience building autonomous AI agents using LangChain, AutoGen, CrewAI, or LangGraph
• Proficient in Python and ML frameworks like TensorFlow, PyTorch, or Keras
• Skilled in prompt engineering for LLM optimization
• Cloud deployment experience on AWS, Azure, or GCP
• Solid understanding of ML algorithms, NLP, and RAG techniques
• Familiar with Docker, Kubernetes, and MLOps practices
• Excellent communication and problem-solving skills

Preferred Skills

• Work on impactful AI projects with global clients
• Collaborate with a passionate and innovative team
• Access to the latest tools and cloud platforms
• Opportunities for continuous learning and career growth

3+yrs

mok@TEKsystems.com