Senior AI/ML Engineer

Deliver impactful big data solutions for clients

Lead and manage technical data teams

Deliver technical big data solutions for clients

Guide customers through cloud migrations and AI adoption

Lead strategic product initiatives for data and AI platforms

Drive organizational adoption of data mesh framework

Design and optimize scalable data pipelines

Ensure data quality and reliability

Design and implement scalable data solutions

Lead and mentor engineering teams

Architect and implement scalable data solutions

Lead and mentor engineering teams

Design and implement scalable data platforms

Lead and deliver cloud and big data projects

Architect and deliver scalable data solutions

Lead and mentor engineering teams

Deliver enterprise data platform solutions

Administer and optimize distributed systems

Lead and manage distributed data engineering teams

Define and execute strategic direction for data platforms

Architect and deliver complex data platform solutions.

Provide production support and optimization for big data and cloud technologies.

Lead data governance strategy and execution

Build and manage governance-aware data pipelines

Design and implement scalable data solutions

Lead and mentor engineering teams

Design and lead data architecture solutions

Set and communicate data strategy and governance

Modernize and optimize legacy data warehouse systems

Design and build scalable, reliable data pipelines

Lead global data governance strategy and execution

Build and maintain governance-aware data pipelines

Lead customer big data projects

Design and deploy scalable data solutions

Deliver customer big data projects

Design and deploy data architectures

Architect end-to-end data solutions

Lead and mentor engineering teams

Architect scalable and reliable data pipelines

Develop and launch self-serve analytics products

Lead and mentor data engineering teams

Architect and deliver scalable cloud data solutions

Deliver scalable data engineering solutions for enterprise clients.

Design and build cloud-native data pipelines and server-side applications.

Deliver customer big data projects

Design and deploy data architectures

Design and optimize scalable AI/ML models

Integrate AI solutions across business units

Deliver client big data projects using Databricks

Lead and manage technical teams

Lead design and implementation of data solutions

Mentor and guide engineering teams

Lead and mentor distributed data engineering teams

Drive strategic direction and execution of data platforms

Lead and mentor data engineering teams

Design and implement scalable data solutions

Lead and scale ML-driven product features

Develop and optimize AI-first user experiences

Grow and lead the ML Practice team in India

Drive successful customer ML and GenAI engagements

Develop scalable data pipelines and solutions

Support enterprise digital modernization projects

Operate and support cloud data platforms

Resolve and prevent data pipeline issues

Lead and mentor distributed data engineering teams

Drive strategic direction for scalable data platforms

Collaborate with clients and stakeholders

Maintain and optimize data pipelines

Lead and mentor a data science team

Integrate analytics into business strategy

Design and productionize scalable machine learning systems

Personalize user experiences using data-driven models

Lead and deliver high-impact cloud data solutions

Engage and advise senior stakeholders strategically

Design and implement scalable data solutions

Lead and mentor engineering teams

Support analytics and engineering projects

Develop and implement data models

Deliver secure and scalable data solutions

Build and optimize data processing pipelines

Lead enterprise-wide data platform migration programs

Ensure compliance with healthcare data regulations

Design and implement scalable Databricks data architectures

Lead migration from legacy data systems to Lakehouse platforms

Establish robust QA strategies for data platforms

Lead testing of data migrations to Databricks

Develop scalable cloud-based big data pipelines

Collaborate with cross-functional and distributed teams

Deliver scalable data engineering solutions

Support enterprise digital modernization

Lead and manage client engagements on database and data engineering projects.

Translate client needs into technical requirements.

Architect scalable data models and ETL pipelines

Design and launch self-serve analytics products

Building and scaling data pipelines for large volumes of data processing

Implementing ETL processes for data integration

Build and productionize Machine Learning models for Apollo products

Optimize users' experience at all stages of their product journey

Lead data science team for business analytics

Develop scalable reporting solutions