Join Our Dynamic Team as an AI/ML Engineer at Kavtech Solutions

Responsibilities:

• Design, development, and deployment of ML/GenAI models using Python and AWS-native tools.
• Build scalable machine learning pipelines for data preprocessing, model training, evaluation, and inference.
• Architect and deploy AI applications using AWS services like S3, SageMaker, Lambda, ECS, Step Functions, and Bedrock.
• Develop and fine-tune Generative AI models (LLMs, diffusion models, etc.) for domain-specific use cases such as text generation, summarization, code generation, or image generation.
• Use tools like LangChain, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone, AWS Kendra) to build RAG (Retrieval-Augmented Generation) and chatbot solutions.
• Collaborate with DevOps and Data Engineering teams for CI/CD, infrastructure-as-code (Terraform/CDK), and MLOps practices.
• Mentor junior engineers and contribute to code reviews, architecture decisions, and best practices.

Requirements:

• 3+ years of experience in Machine Learning/AI with a focus on applied ML in production environments.
• Strong programming skills in Python and experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Proven experience deploying ML models in AWS Cloud, using services like SageMaker, Step Functions Lambda, S3, and API Gateway.
• Hands-on experience with Generative AI, including LLMs, prompt engineering, fine-tuning, and RAG pipelines.
• Familiarity with GenAI frameworks such as LangChain, Hugging Face, or OpenAI APIs.
• Experience with MLOps, model versioning (MLflow), monitoring, and logging.
• Good understanding of REST APIs, Docker, CI/CD tools (e.g., GitHub Actions, CodePipeline), and infrastructure automation.