Senior Machine Learning Engineer

2 days ago


India Coders Brain Technology Private Limited Full time

Position Title : Senior Machine Learning Infrastructure Engineer Location : Chennai, Bangalore, Pune, Coimbatore Experience : 4 to 6 Years Position Summary : We are seeking a Senior Machine Learning Infrastructure Engineer to lead the design, implementation, and optimization of end-to-end ML infrastructure. You will be responsible for providing technical leadership to a team of ML engineers and driving best practices for model development, deployment, and scaling. This role involves collaborating closely with data scientists, software engineers, and other stakeholders to build high-quality, scalable, and reliable ML systems. Your work will include designing automated CI/CD pipelines, optimizing model performance, and leveraging cloud and containerization technologies for seamless deployment. Responsibilities : End-to-End ML Infrastructure : - Lead the implementation of a cutting-edge ML infrastructure, ensuring best practices, scalability, and high-quality standards across the development lifecycle. Technical Leadership & Mentorship : - Provide exceptional technical guidance, mentorship, and leadership to a team of machine learning engineers, fostering continuous learning and innovation. Project Ownership & Stakeholder Collaboration : - Take ownership of critical projects, providing project leadership and ensuring successful delivery. - Engage with stakeholders to understand their needs and navigate complex, conflicting goals. Data Pipeline Optimization : - Work closely with data scientists to translate complex model requirements into optimized data pipelines that ensure impeccable data quality, processing, and integration. Model Versioning & Tracking : - Establish best practices for model versioning, experiment tracking, and model evaluation, ensuring transparency and reproducibility. Model Deployment & Scalability : - Architect model deployment strategies using Docker for containerization and Kubernetes for orchestration to ensure scalability and reliability. Automated CI/CD Pipelines : - Design and engineer automated CI/CD pipelines to facilitate model deployment, monitoring, and continuous optimization. Performance Optimization : - Define performance benchmarks and continuously optimize models and infrastructure to achieve peak efficiency, scalability, and robustness. Emerging Technologies : - Stay updated with industry trends and emerging technologies, integrating advancements into the ML ecosystem. Qualifications : Extensive Experience : - Proven experience in orchestrating the development of end-to-end machine learning infrastructure for large-scale applications. Leadership Experience : - Track record of leading technical teams to deliver high-quality, innovative ML solutions. Problem-Solving & Analytical Skills : - Strong problem-solving abilities and passion for solving complex technical and business challenges. Mastery of ML Frameworks : - Expertise in TensorFlow, PyTorch, or equivalent, along with strong Python programming skills. Containerization & Orchestration : - Deep knowledge of Docker and Kubernetes for deploying and managing complex ML applications. Cloud Platforms : - Expertise in cloud platforms like AWS or Azure, leveraging cloud-native services to build robust ML infrastructure. DevOps & CI/CD : - Experience integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines. Collaboration Skills : - Excellent communication and interpersonal skills with the ability to work effectively in a team-oriented environment (ref:hirist.tech)



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