DS Stream has delivered AI at scale for global enterprises for over ten years from our headquarters in Poland. Now we're building our India team around the same engineering-first culture, technical excellence, and real ownership.
You'll work on production AI and data platforms for clients across Europe and beyond while helping build a new engineering hub from the ground up. This is an opportunity to join early, make your mark, and help define the future of DS Stream India.
Most AI job ads describe proofs of concept. Ours don't. The platforms our teams build go into production at enterprise scale, and we stay to operate them, which means you see what your architecture decisions actually cost twelve months later.
A metadata-driven lakehouse on Azure Databricks for a Fortune 500 consumer goods company, replacing a duplicated, unstructured data lake with an automated medallion architecture and built-in data quality validation.
Stack: Azure, Databricks, Spark, Python, Great Expectations, Azure DevOps
A research and intelligence platform built on AWS Bedrock agents, cutting company analysis time from days to minutes for a healthcare client, with automated data collection, human review and promotion into a trusted data layer.
Stack: AWS, Amazon Bedrock, agentic workflows, data pipelines
A redesigned Feature Store and model execution workflow for a global market intelligence company, reducing data processing time from four hours to ten minutes and removing recurring database bottlenecks.
Stack: AWS, Kubernetes, EKS, Argo CD, MLOps tooling
No L1 or L2 support work. No legacy maintenance queues. If a project doesn't move your engineering forward, it isn't the project for you, and we'd rather say that now.
Business-first and technology-agnostic: we start from your KPIs, and let the cloud, platform and framework choices follow the business case.
Hybrid working with flexible hours, a company laptop and home-office support, plus reimbursement for home internet and fuel or vehicle costs - set up to fit how you actually work.
Group health insurance covering you, your spouse, children and dependent parents, alongside life and accident cover, annual health check-ups, and mental health and wellness support.
Funded certifications (Azure, AWS, GCP, Databricks, Snowflake), an annual learning budget, international project exposure with EU teams, and a clear path to Senior, Lead and Architect roles.
Performance bonuses, Provident Fund, gratuity and referral rewards, plus paid leave and maternity and paternity support - the stability to build your career and life on.
As part of an international organization, employees gain first-hand exposure to global customer engagement models and cross-cultural collaboration. This helps them understand not only how technology is delivered, but how it supports broader business objectives.
Employees learn by doing — working on live customer projects, joining solution design discussions, and contributing to product enhancements alongside experienced consultants and architects. This practical exposure accelerates learning far beyond traditional classroom training.
Depending on role and aspirations, employees build skills across software engineering, cloud and infrastructure, and data and analytics. This spans modern programming, architecture, APIs, Azure, DevOps, CI/CD, data engineering, and business intelligence.
We believe that when our people grow, the organization grows. Therefore, we are committed to providing an environment where every employee has opportunities to learn, innovate, collaborate, and build a rewarding long-term career.
Learning at DS Stream is not limited to training programs - it happens every day through meaningful work, collaboration, and continuous improvement.
Senior
We are looking for a talented Data Scientist to leverage statistical methods, machine learning algorithms, and data analysis techniques to extract actionable insights. You will build predictive models, recommendation systems, and run proof-of-concept experiments in collaboration with cross-functional teams.
Stack:Python, scikit-learn, TensorFlow / PyTorch, SQL, Google Cloud Platform
Check detailsSenior
We are looking for a highly skilled Senior DevOps/Platform Engineer to build an Internal Developer Platform (IDP) for AI applications on Google Kubernetes Engine (GKE). You will design, automate, and scale cloud infrastructure with Terraform, FluxCD GitOps, and GitHub Actions, integrating GKE workloads with Vertex AI.
Stack:Google Cloud Platform (GCP), Kubernetes (GKE), FluxCD, Terraform, GitHub Actions, Python, Docker
Check detailsSenior
We are looking for a skilled Python Developer to work on petabyte-scale data processing and analytics on GCP, build scalable ML environments with CI/CD and Kubeflow, and develop web applications with Flask or FastAPI for Data Science teams.
Stack:Python, SQL, FastAPI, CI/CD, GitHub Actions, GCP
Check detailsSenior
We are looking for an experienced Senior Data Engineer to drive the expansion of a high-availability data hub on Azure Databricks, working in the US time zone. You will design robust data pipelines using PySpark and Structured Streaming within a Medallion Architecture framework, managing Unity Catalog objects and optimizing performance at scale.
Stack:Azure, Databricks, Spark Structured Streaming, Python, SQL, GitHub
Check detailsMid-Level
We are looking for a Data Specialist to help execute detailed data design work — data modelling, mapping, and flow design — in partnership with technical and data management teams. You will translate stakeholder requirements into technical specifications and support data engineers in troubleshooting ETL pipelines.
Stack:SQL, Python, RESTful APIs, Linux, Shell Scripting, CI/CD, GCP / AWS / Azure
Check detailsSenior
We are looking for an AI Engineer to join our growing team in Bangalore, India, and build production-grade Agentic AI solutions. You will design and scale multi-agent architectures, LLM-driven applications and agentic workflows using LangGraph and LangChain, working with senior ML/AI experts on global enterprise projects.
Stack:LangGraph, LangChain, Python, FastAPI / Flask, Azure / GCP, Airflow / Kubeflow, PyTorch / TensorFlow / scikit-learn, Spark / Databricks
Check detailsNo roles match these filters.
A few clicks and your resume is on its way to us.
A quick call or video chat to get to know each other and align our expectations.
First, we'll talk about your experience and expertise to learn about your background. Then, you'll meet the project team. Team members will go through the technical aspects and answer all of your questions.
We always get back to you, whatever the outcome! Our process usually wraps up within two weeks because we know timing is key.
We deliver from engineering hubs in Poland and India serving CPG and retail enterprises across Europe, North America and Asia. Wherever your markets are, we've most likely shipped there already.
From global consumer goods leaders to trade-intelligence and healthcare scale-ups, our clients span the United States, Germany, France, the United Kingdom and Poland.
Solutions running in 10 markets worldwide, delivered and operated remotely, 24/7.
Our interview process is designed to be efficient, transparent, and respectful of candidates' time. Depending on the role, the process typically consists of:
For most positions, the process is completed within 2 to 4 weeks from application to offer.
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DS Stream returns the money for passed certifications and offers Microsoft Azure and GCP training packages. The benefits for the India team also include funded certifications (Azure, AWS, GCP, Databricks, Snowflake) and an annual learning budget.
TODO-TRESC: answer to be provided by HR (not in the source pages).
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The stack depends on the role: see the Stack line on each open role (for example Azure, Databricks, GCP, BigQuery, GenAI, RAG and agentic systems).
Yes. Group health insurance covers you, your spouse, children and dependent parents, alongside life and accident cover and annual health check-ups.
Yes. The benefits include reimbursement for home internet and fuel or vehicle costs, together with a company laptop and home-office support.
The benefits include reimbursement for fuel or vehicle costs. TODO-TRESC: how this is structured for tax (not in the source pages).