Ml Lifecycle Jobs – Apply to Latest Ml Lifecycle Job Vacancies

AI/ML Platform Engineering Lead Welocalize

8.0 - 12.0 years

30 - 45 Lacs

Noida

Hybrid

Role Summary: The AI/ML Platform Engineering Lead is a pivotal leadership role responsible for managing the day-to-day operations and development of the AI/ML platform team. In this role, you will guide the team in designing, building, and maintaining scalable platforms, while collaborating with other engineering and data science teams to ensure successful model deployment and lifecycle management. You can apply directly using the link below: https://jobs.lever.co/welocalize/628f87a7-4edd-4b4f-b440-3b602aa4dadc Key Responsibilities: Lead and manage a team of platform engineers in developing and maintaining robust AI/ML platforms. Define and implement best practices for machine learning infrastructure, ensuring scalability, performance, and security. Collaborate closely with data scientists and DevOps teams to optimize the ML lifecycle from model training to deployment. Establish and enforce standards for platform automation, monitoring, and operational efficiency. Serve as the primary liaison between engineering teams, product teams, and leadership. Mentor and develop junior engineers, providing technical guidance and performance feedback. Stay abreast of the latest advancements in AI/ML infrastructure and integrate new technologies where applicable. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in AI/ML platform development and infrastructure. Proven experience in leading engineering teams and driving large-scale projects. Extensive expertise in cloud infrastructure (AWS, GCP, Azure), MLOps tools (e.g., Kubeflow, MLflow), and infrastructure as code (Terraform) Strong programming skills in Python and Node.js , with a proven track record of building scalable and maintainable systems that support AI/ML workflows. Hands-on experience with monitoring and observability tools, such as Datadog, to ensure platform reliability and performance. Strong leadership and communication skills with the ability to influence cross-functional teams. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Posted 1 week ago

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Senior Manager _ Data Scientist Ambi Software Solutions (opc)

10 - 15 years

10 - 15 Lacs

Chennai

Work from Office

Role Overview: Lead AI & Data Science initiatives, driving AI research, Agentic AI, MLOps, and Azure AI for a service-based company. Oversee AI/ML model deployment, innovation, and client solutions , ensuring business impact and scalability. Key Responsibilities: Develop AI strategy, focusing on Agentic AI, Generative AI, and ML Operations . Lead AI research, innovation, and Azure-based AI solutions . Manage AI/ML model development, deployment, and optimization . Mentor teams and collaborate with business, product, and engineering leaders . Engage with clients, delivering AI-powered solutions and consulting . Skills & Qualifications: 10-15 years in AI, Data Science, ML Operations, and Azure AI . Expertise in Agentic AI, AI Research, Generative AI, and ML lifecycle . Proficiency in Python, TensorFlow, PyTorch, MLOps tools, and Kubernetes . Strong leadership, stakeholder management, and problem-solving skills. Preferred: Masters/PhD in AI, Data Science, or related field .

Posted 2 months ago

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