Job Description

Requirement and Skills

• Experience: 3+ years of experience in AI/ML engineering
• Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
• hands-on experience with LangChain or similar LLM frameworks
• Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment
• Experience in deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productization
• Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus
• experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart
• Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs
• Proficiency in evaluating both classical ML models and LLMs using relevant metrics
• Experience with optimizing models for performance
• Strong analytical skills with the ability to tackle complex engineering challenges, integrate new technologies, and improve existing processes.