Job Description :

We are seeking a highly skilled AI/ML Engineer with a strong background in AI and Generative AI Architecture. The ideal candidate must have a proven track record of designing and implementing AI solutions that drive business value.

Key Responsibilities :

- Design, develop, and deploy AI/ML models and AI agents across cloud platforms (AWS-primary, GCP, Azure)

- Architect and implement Generative AI systems for real-world use cases

- Collaborate with product, engineering, and customer teams to define AI-driven solutions

- Conduct model training, validation, A/B testing, and optimization

- Participate in technical discussions and provide thought leadership in AI/ML strategy

- Ensure responsible AI practices, including data privacy, bias mitigation, and explainability

- Perform solution architecture validations for LLMs

- Put Generative AI models into production (GenAIOps)

Tech Stack & Requirements :

- Experience developing and deploying AI applications in AWS, GCP, and Azure

- At least 3 years of experience putting ML models into production, with at least one live AI agent built

- 2+ years in AI development; experience with AWS Sagemaker, Bedrock, Q, Transcribe, Polly, or Google Cloud AI ML Services (Vertex, Gemini, AutoML) is preferred

- Familiarity with MLOps tools (SageMaker, Vertex AI, MLflow, Kubeflow)

- Strong understanding of LLMs, NLP, and Generative AI frameworks (LangChain, LangGraph, Hugging Face, CrewAI, RAG)

- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)

- Strong software engineering skills and experience with APIs

- Experience with senior stakeholder management and strong communication skills

Preferred Qualifications :

- Experience building Agentic AI systems or autonomous AI agents

- Exposure to real-time inference, edge AI, or multi-modal AI applications

- Contributions to open-source AI/ML projects or publications

- Certifications in cloud platforms or ML specializations