ML Engineer III

📋 Description

• Design, develop, and deploy machine learning models and AI solutions for business and
• Build and optimize NLP and transformer-based models for classification, ranking, recommendation
• Contribute to GenAI and Agentic AI initiatives, including RAG pipelines, prompt engineering, tool
• Perform data exploration, feature engineering, model training, evaluation, and performance analysis.
• Develop scalable data pipelines and production workflows for model training and inference.
• Work with structured and unstructured data sources to generate actionable insights and build

🎯 Requirements

• 4–6 years of experience building and deploying machine learning systems in production environments.
• Strong foundation in machine learning, statistics, experimentation, and applied data science.
• Experience developing predictive models, recommendation systems, classification models, ranking
• Hands-on experience with NLP techniques, embeddings, transformer models, and retrieval systems.
• Experience working with Python and common ML libraries such as Scikit-learn, PyTorch, TensorFlow
• Experience working with distributed data processing frameworks such as Spark or Databricks.

🎁 Benefits

• Experience working with LLMs, prompt engineering, RAG systems, or agentic AI workflows.
• Familiarity with LangGraph, LangChain, Amazon Bedrock, OpenAI, Anthropic, or similar AI platforms.
• Experience with vector databases, embeddings, and semantic search systems.
• Experience with cloud platforms such as AWS.
• Experience in B2B SaaS, MarTech, AdTech, or customer-facing AI products.
• Contributions to technical blogs, open-source projects, research publications, or internal