AI / ML Engineer

Job Summary

Design and deploy production-grade machine learning models, RAG pipelines, and LLM-powered applications for enterprise use cases.

Role Overview

Join our AI Center of Excellence and work at the forefront of enterprise AI adoption. You will design, train, evaluate, and deploy machine learning models and generative AI applications that deliver measurable business outcomes for our clients.

Key Responsibilities

• Develop and deploy ML models for classification, forecasting, and anomaly detection
• Build RAG pipelines using LangChain, LlamaIndex, and vector databases
• Implement and fine-tune LLMs for domain-specific enterprise applications
• Collaborate with data engineers to build reliable feature pipelines
• Conduct model performance monitoring and continuous improvement
• Document AI solutions and present results to client stakeholders

Requirements

• 3+ years of ML engineering or applied AI experience
• Proficiency in Python, PyTorch or TensorFlow, and scikit-learn
• Experience with OpenAI, Anthropic, or open-source LLM APIs
• Hands-on knowledge of vector databases (Pinecone, Weaviate, pgvector)
• Understanding of MLOps tools (MLflow, Kubeflow, or similar)

Qualifications

• Master degree in Computer Science, AI, or related field preferred

Additional Information

This role includes access to enterprise GPU clusters and cutting-edge AI research budget.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.