Lead ML Engineer

Job Description

We areseeking a Lead Machine Learning Engineer to drive the development anddeployment of cutting-edge ML systems. You will lead a team of ML engineers,collaborate with cross-functional teams, and ensure the scalability,efficiency, and reliability of our ML solutions. This role requires strongtechnical expertise, leadership, and a deep understanding of ML systems inproduction. KeyResponsibilities: End-to-End ML Development Design, build, and deploy scalable ML models for real-world applications. Team Leadership Guide and mentor a team of ML engineers and data scientists. Model Optimization & MLOps Implement model monitoring, retraining, and CI/CD pipelines for ML models. Big Data & Cloud Integration Work with large-scale data pipelines, distributed computing, and cloud services (AWS/GCP/Azure). Cross-Functional Collaboration Work closely with data engineers, product teams, and software developers. Algorithm Innovation Research and implement state-of-the-art ML and deep learning techniques. Performance & Scalability Ensure ML models are efficient and optimized for deployment in production environments. Requirements: Education: Bachelor's or masters in computer science, AI, Data Science, or a related field. ML Expertise: Strong background in Supervised, Unsupervised, and Deep Learning techniques. Tech Stack: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Kubernetes, Docker. Data & Infrastructure: Experience with Big Data (Hadoop, Snowflake), Cloud ML tools (SageMaker, Vertex AI). MLOps & CI/CD: Hands-on with ML lifecycle management, monitoring, and automation. APIs & Deployment: Experience in deploying ML models via REST APIs and microservices.