AI Technical Lead

Weekday (YC W21); Mumbai; On-site; INR 400,000 - 700,000; Full time

Job summary

Weekday (YC W21) is seeking a senior AI/ML Platform Engineer to lead and shape the AI/ML technology landscape across the organization. The role focuses on technical excellence, platform enablement, and cross-team mentorship to drive adoption of scalable AI solutions.

The incumbent will guide architecture, tool integration, and cloud service selections, ensuring robust monitoring, security, and governance across AI/ML deployments and containerized environments.

Qualifications

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

Responsibilities

• Lead AI/ML operational and platform engineering functions with technical excellence.
• Provide mentorship to AI/Engineering, Data Engineering, and Platform teams.
• Drive enablement of AI/ML platforms, tooling, and best practices.
• Provide architecture guidance for AI/ML solution design and optimization.
• Evaluate, select, and integrate AI/ML tools and cloud services.
• Establish monitoring, logging, and observability standards for AI/ML systems.
• Translate business requirements into scalable AI/ML solutions.
• Support containerized and cloud-native environments, including Kubernetes and serverless.

Skills

AI/ML leadership

Technical leadership

Python

Java

Scala

SQL

ML/Ops

Tools

Azure AI

AWS SageMaker

Google Vertex AI

Databricks

Kubernetes

Docker

MLflow

Kubeflow

DVC

Weights & Biases

Prometheus

ELK

Grafana

DataDog

Job description

This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 12+ years

Location: Mumbai, Maharashtra, India

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

• 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