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Open nowPosted 46 days ago

AI Lead (Technical)

Workable (global search)108,016 open roles

Where
Mumbai, MH, India
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Your applicationOpen nowAI Lead (Technical)Workable (global search) · Mumbai, MH, India

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 46 days ago

Workable (global search) median: 7 days open

The posting

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

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