# AI Technical Lead

> Weekday AI · Mumbai, India · Full-time · Posted 2026-08-13

**Workplace:** on_site

**Department:** Weekday's Client via platform

## 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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/C7826B1F3E/apply)

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