- Lead ML engineer

3 days ago

Bengaluru, Karnataka, India Nexthire Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Location: Bengaluru, India

Company:

Experience: 5+ Years

Employment Type: Full-Time

About

is a cutting-edge AI and data-driven solutions company focused on building intelligent platforms for enterprises. We specialize in Machine Learning, Generative AI, MLOps, Computer Vision, and large-scale data engineering. Our mission is to help organizations unlock the full potential of AI by developing scalable, production-ready systems that make real impact.

Role Overview

We are seeking a highly skilled Lead Machine Learning Engineer to architect, design, and deploy advanced ML systems. You will act as a technical leader responsible for model development, experimentation, and end-to-end deployment while collaborating closely with data scientists, product teams, and engineering stakeholders. This role is ideal for someone who loves solving real-world problems using ML and is passionate about leading technical initiatives.

Key Responsibilities
Machine Learning & Model Development

  • Lead the design, development, and optimization of ML models, including classical ML, deep learning, NLP, and generative AI.

  • Build scalable ML pipelines for training, evaluation, and inference.

  • Drive experimentation with new models, architectures, and techniques.

End-to-End ML System Delivery

  • Own the complete lifecycle from data preprocessing to production deployment.

  • Deploy and monitor ML models using MLOps practices (CI/CD, model versioning, automation).

  • Optimize model performance, reliability, and latency.

Architecture & Technical Leadership

  • Define the ML architecture and best practices for the engineering team.

  • Mentor junior engineers and provide technical guidance across ML projects.

  • Collaborate with product managers and stakeholders to translate business problems into ML solutions.

Data Engineering Collaboration

  • Work with data teams to design robust data pipelines and feature stores.

  • Ensure high-quality datasets and model readiness for large-scale production systems.

Innovation & Research

  • Stay updated with the latest advancements in AI/ML, Generative AI, LLMs, and deep learning.

  • Evaluate and integrate new tools, ML frameworks, and cloud solutions.

Required Skills & Experience

  • 5+ years of hands-on experience in Machine Learning, Deep Learning, or Data Science.

  • Strong proficiency with Python, TensorFlow / PyTorch, and ML libraries (scikit-learn, XGBoost, HuggingFace).

  • Experience building and deploying production-grade ML models.

  • Sound knowledge of MLOps tools: Docker, Kubernetes, MLflow, Airflow, Kubeflow, or similar.

  • Experience working with cloud platforms: AWS / GCP / Azure.

  • Strong understanding of data structures, algorithms, and software engineering best practices.

  • Experience with large datasets, data preprocessing, and feature engineering.

  • Ability to lead technical discussions and make architectural decisions.

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