Pibit.AI- Lead ML engineer

4 days ago


Bengaluru, India Nexthire Full time

Location: Bengaluru, India Company: Pibit.ai Experience: 5+ Years Employment Type: Full-Time About Pibit.ai Pibit.ai 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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