AI Lead (Technical)

Weekday 1; Mumbai; On-site; INR 3,500,000 - 9,000,000; Full time

Job summary

Weekday 1 is seeking a senior leader to head AI/ML operations and platform engineering in Mumbai. The role focuses on technical excellence and driving AI adoption across business units, with responsibility for architecting scalable AI/ML solutions and establishing governance.

You will mentor AI Engineering, Data Engineering, and Platform teams, oversee tool evaluation, deployment, and cloud services, and ensure robust monitoring, security and compliance across AI initiatives.

Qualifications

• 10+ years of IT, software engineering, or data science experience.
• 5 years of direct AI/ML production experience.
• 3 years in technical leadership, architecture or senior engineering roles.
• Experience designing and implementing large-scale AI/ML solutions and systems.
• Experience with cloud platforms and cloud-native architectures.
• Experience with DevOps, CI/CD pipelines, and containerized deployments.

Responsibilities

• Lead AI/ML operational and platform engineering across the organization.
• Provide technical leadership and mentorship to AI Eng., Data Eng., and Platform teams.
• Drive enablement of AI/ML platforms, tooling, and best practices.
• Offer architecture guidance for AI/ML solution design and optimization.
• Evaluate and integrate AI/ML tools, frameworks, and cloud services.
• Establish monitoring, logging, and observability standards for AI/ML systems.

Skills

AI/ML technologies

Cloud platforms

DevOps / CI/CD

Containerized deployments

Leadership & mentoring

Architecture & solution design

Monitoring & observability

Python/Java/Scala

Data processing & analytics

Kubernetes

Serverless platforms

Tools

Azure AI

AWS SageMaker

Google Vertex AI

Databricks

Job description

This role is for one of Weekday’s clients

Min Experience: 12+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

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

Requirements

Relevant Experience:

• 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 in Designing and implementing 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.

Mandatory Skills:

• Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
• AI/ML Platforms (Azure AI, AWS SageMaker, Google Vertex AI, Databricks)
• Large Language Models and GenAI (transformers, RAG, prompt engineering, 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

Must-have skills

AI/ML technology, AI/ML operational

Good-to-have skills

Engineering Manager