AI Technical Lead

Momentum Services; Navi Mumbai; On-site; INR 4,000,000 - 8,500,000; Full time

Job summary

Momentum Services seeks a senior AI/ML Platform Lead to drive operational and platform engineering across the organization from its Mumbai hub. You will ensure technical excellence in AI/ML, lead cross-functional teams, and push adoption of AI solutions across business units.

You will design scalable AI/ML architectures, guide cloud-native deployments, and mentor engineers while aligning with governance and security standards. Strong leadership and communication are essential for success.

Qualifications

• 10 years' experience in IT, software engineering, or data science related positions.
• 5 years of direct experience with AI/ML technologies, platforms, and solutions in production environments.
• 3 years in technical leadership, architecture, or senior engineering role.
• Experience Designing large-scale AI/ML solutions and systems.
• Experience working with cloud platforms and understanding of cloud-native architectures.
• Experience with DevOps, CI/CD pipelines, and containerized deployments.

Responsibilities

• Deep dive technical investigation, analysis and troubleshooting across AI/ML technology stacks, frameworks, and infrastructure using appropriate diagnostic and monitoring tools.
• Provide technical leadership and mentoring to AI Engineering, Data Engineering, and Platform teams, fostering a culture of technical excellence and continuous improvement.
• Drive the enablement of AI/ML platforms, tooling, and best practices across the organization.
• Provide architecture guidance and technical oversight for AI/ML solution design, implementation, and optimization.
• Lead the evaluation, selection, and integration of AI/ML tools, frameworks, and cloud services (e.g., Azure AI, AWS SageMaker, Google Vertex AI).
• Establish and maintain monitoring, logging, and observability standards for AI/ML systems and models.
• Investigate opportunities for optimization of AI/ML technology stacks, including model performance tuning and infrastructure efficiency.
• Work with solution architects and business stakeholders to translate business requirements into technical AI/ML solutions.
• Provide support and enablement for containerized and cloud-native environments, specifically Kubernetes and serverless platforms.
• Ensure compliance, security, and governance best practices are implemented across all AI/ML solutions.
• Stay current with emerging AI/ML technologies, frameworks, and industry best practices.

Skills

Machine Learning

AI/ML Platforms

Kubernetes

Python

Team Leadership

Problem Solving

Tools

TensorFlow

PyTorch

scikit-learn

Azure AI

AWS SageMaker

Google Vertex AI

Spark

Hadoop

Databricks

MLflow

Kubeflow

Job description

The founding of Metropolitan dates to as early as 1898 and Momentum traces its roots to being established in 1966. Momentum Group was formed from the merger of Metropolitan and Momentum, two sizeable and diverse insurance-based financial services companies in South Africa and was listed on the Johannesburg Stock Exchange on 1 December 2010.

In order to grow its international footprint and diversify its revenue streams, Momentum Group actively pursues financially viable opportunities across the world. Aditya Birla Health Insurance Company Limited, a joint venture with Aditya Birla Capital Limited, was incorporated in 2015 and was our first expansion into India.

Having experienced India first-hand as a hub of both talent and opportunity, we set up Momentum Services in 2017, a wholly-owned Mumbai-based global in-house centre to leverage IT, ITES and Business support services to all our businesses worldwide.

Disclaimer As an applicant, please verify the legitimacy of this job advert on our company career page.

Role Purpose

The incumbent shall be responsible for leading AI/ML operational and platformengineering functions across the organization. The focus of this role is to provide andensure technical excellence in the AI/ML technology landscape and drive the adoptionof AI solutions across business units.

Requirements

• 10 years' experience in IT, software engineering, or data science related positions
• 5 years of direct experience with AI/ML technologies, platforms, and solutions inproduction environments.
• 3 years in technical leadership, architecture, or senior engineering role.
• Experience in Designing and implementing large-scale AI/ML solutions andsystems.
• Experience working with cloud platforms and understanding of cloud-nativearchitectures.
• Experience with DevOps, CI/CD pipelines, and containerized deployments

Duties & Responsibilities

KEY ACCOUNTABILITIES/KRAs/KPIs:

• Deep dive technical investigation, analysis and troubleshooting across AI/MLtechnology stacks, frameworks, and infrastructure using appropriate diagnosticand monitoring tools.
• Provide technical leadership and mentoring to AI Engineering, Data Engineering,and Platform teams, fostering a culture of technical excellence and continuousimprovement.
• Drive the enablement of AI/ML platforms, tooling, and best practices across theorganization.
• Provide architecture guidance and technical oversight for AI/ML solution design,implementation, and optimization.
• Lead the evaluation, selection, and integration of AI/ML tools, frameworks, andcloud services (e.g., Azure AI, AWS SageMaker, Google Vertex AI).
• Establish and maintain monitoring, logging, and observability standards for AI/MLsystems and models.
• Investigate opportunities for optimization of AI/ML technology stacks, includingmodel performance tuning and infrastructure efficiency.
• Work with solution architects and business stakeholders to translate businessrequirements into technical AI/ML solutions.
• Provide support and enablement for containerized and cloud-native environments,specifically Kubernetes and serverless platforms.
• Ensure compliance, security, and governance best practices are implementedacross all AI/ML solutions.
• Stay current with emerging AI/ML technologies, frameworks, and industry bestpractices.

Technical Skills

Technical SkillsMandatory Skills:

• Machine Learning Frameworks (TensorFlow, PyTorch, scikitlearn, XGBoost)
• AI/ML Platforms (Azure AI, AWS SageMaker, Google Vertex AI,Databricks)
• Large Language Models and GenAI (transformers, RAG, promptengineering, LLMOps)
• Data Processing and Analytics (Spark, Hadoop, pandas, SQL)
• Cloud Platforms (Azure, AWS, GCP)
• Container Orchestration (Kubernetes, Docker)
• MLOps and Model Deployment tools (MLflow, Kubeflow, DVC,Weights & Biases)
• Data Engineering and ETL tools
• Monitoring, Logging, and Observability tools (Prometheus, ELK,Grafana, DataDog)
• Scripting and Programming Languages (Python, Java, Scala, SQL)
• Git and Version Control Systems

• Strong analytical and logical problem-solving skills with excellentattention to detail
• Critical-thinking skills
• Excellent verbal and written communication skills
• Proactive and self-motivated individual
• Strong ownership and accountability mindse
• Effective collaboration and teamwork abilities
• Continuous learning attitude and innovation mindset
• Ability to manage priorities and deliver results within timelines