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.

📌 Ai / Ml Engineer Bengaluru
🏢 Artha Solutions
📍 Bengaluru