Job Description
<p><p><b>Description : </b><br/><br/>We're looking for a Strong Python Programmer + Machine Learning Lead with hands-on experience in Agentic AI Frameworks (Certification or project exposure preferred).
This is a senior technical leadership role where you'll combine the depth of a software engineer, the creativity of a data scientist, and the architectural mindset to build scalable ML and GenAI applications.
You'll design, develop, deploy, and maintain production-grade AI-powered products using LLMs, RAG, LangChain, Mistral, Llama, Hugging Face, Vector DBs, and other advanced frameworks.<br/><br/><b>Responsibilities : </b><br/><br/>- Model Development and Optimization : Build and optimize GenAI models across supervised, unsupervised, DL, and RL paradigms.<br/><br/>- End-to-End ML Lifecycle : Own development, deployment, and monitoring of ML systems in production.<br/><br/>- Software Architecture : Design modular, testable, and maintainable ML pipelines, APIs, and services.<br/><br/>- Data Engineering : Create robust data pipelines for feature engineering and versioning.<br/><br/>- Performance and Scalability : Ensure reliability and scalability of deployed ML systems.<br/><br/>- Collaboration and Mentorship : Work with cross-functional teams and mentor junior engineers.<br/><br/>- Research and Innovation : Experiment with the latest ML and MLOps tools to enhance capability.<br/><br/><b>Requirements : </b><br/><br/>- Education : Master's in CS, ML, Data Science, or related field.<br/><br/>- Experience : 10+ years in ML Engineering or Software Engineering with ML focus.<br/><br/>- Programming : Strong in Python (clean, production-grade code).
Exposure to Java/Go/C++ a plus.<br/><br/>- Frameworks : PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, RAG.<br/><br/>- ML Expertise : Strong understanding of algorithms, feature engineering, model tuning & evaluation.<br/><br/>- Data : Experience with SQL/NoSQL, data warehousing, and large-scale data processing.<br/><br/>- Soft Skills : Analytical mindset, problem-solving ability, and clear communication.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- Master's or Ph. D.
in a relevant field.<br/><br/>- Contributions to open-source / personal ML projects.<br/><br/>- Familiarity with A/B testing, data governance, and security in ML.<br/><br/>- Keywords for Better Reach (Instahyre SEO) : Python, Machine Learning Lead, GenAI, LLM, RAG, LangChain, Mistral, Hugging Face, PyTorch, TensorFlow, NLP, Deep Learning, Agentic AI, Vector DB, ML Architect, AI Lead, Wipro.</p><br/></p> (ref:hirist.tech)