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Databricks Data Engineer building scalable batch/streaming data pipelines and optimizing Lakehouse architectures on Databricks for client-facing consulting engagements at NTT DATA.
Senior DevOps/MLOps Engineer designing and operating scalable platforms for data engineering, ML, and AI workloads, using AWS, Kubernetes, Terraform, and CI/CD tools.
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
Building data pipelines, maintaining ML models, and integrating diverse data sources into a unified analytics environment using Databricks, MLflow, and PySpark for GenAI and agent-based solutions.
ML Engineer building scalable data pipelines and GenAI/Agentic AI solutions on Databricks Lakehouse using PySpark, MLflow, and Python AI frameworks for consulting clients across Europe.
Senior Data Scientist with data engineering skills building a demand forecasting system from scratch for a Polish entertainment leader, using Python, SQL, web scraping, and GLM models across the full data pipeline.
Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data…
Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Senior Databricks Engineer automating platform operations, CI/CD pipelines, and multi-environment deployments using Databricks, PySpark, SparkSQL, and Azure cloud services.
Design, develop, and optimize big data ETL pipelines using Apache Spark and Databricks on Azure cloud, while collaborating with analysts and implementing CI/CD and security best practices.
Data Engineer building and optimizing scalable data pipelines and architectures on Azure using Databricks, PySpark, Delta Lake, and CI/CD/DataOps practices.
Senior Data Engineer building production Databricks Lakehouse platforms with PySpark, dbt, PostgreSQL, and CI/CD pipelines at Publicis Global Delivery in India.
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Data Engineer designing, building, and operating ingestion, transformation, and Lakehouse pipelines on Databricks and Azure for Masco's enterprise POS and commercial data.
DevOps Enterprise Architect designing and managing MLOps infrastructure using Kubernetes, Docker, CI/CD tooling, and cloud platforms (Azure preferred) for enterprise digital transformation programs.
Builds and deploys ML models and tooling for PicPay’s fintech platform, automating pipelines and guiding data scientists on best practices.
Senior ML Engineer building production ML systems on Databricks, Snowflake, and AWS for identity resolution, audience targeting, and content personalization at Warner Bros. Discovery's Data & Audience Platform team in Hyderabad.
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