AI Technical Lead

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

Job summary

Weekday 1 is seeking a senior AI/ML leader in Mumbai to head operational and platform engineering for AI initiatives across the organization.

The role focuses on driving technical excellence, guiding AI architecture, and enabling scalable AI/ML platforms using cloud services and containerized environments.

Qualifications

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

Responsibilities

• Lead deep diagnostic work across AI/ML stacks, tools, and infra.
• Provide technical leadership and mentoring to AI/Data/Platform teams.
• Drive AI/ML platform enablement and best practices across the org.
• 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.
• Explore optimization of AI/ML stacks and model performance.
• Translate business requirements into technical AI/ML solutions.
• Support containerized and cloud-native environments, including Kubernetes and serverless.
• Ensure security and governance across AI/ML solutions.
• Stay current with emerging AI/ML technologies and best practices.

Skills

TensorFlow

PyTorch

scikit-learn

XGBoost

Python

Java

Scala

SQL

Spark

Pandas

Tools

Azure AI

AWS SageMaker

Google Vertex AI

Databricks

Kubernetes

Docker

MLflow

Kubeflow

DVC

Weights & Biases

Prometheus

ELK

Grafana

DataDog

Git

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