AI Lead (Technical)

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