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Python Developer

DS STREAM·Salary not specified

Primary stack

PythonSQLCI/CDKubeflowFastAPIGCP

Nice to have's

Agile

Job description

About DS STREAM

DS STREAM is a global data and AI consulting company with 9 years of experience delivering advanced analytics and AI solutions to leading brands across FMCG, Retail, E-commerce, Healthcare, and Telecommunications. With 160+ professionals and 120+ projects delivered, we specialize in Machine Learning, Generative AI, and Data Engineering. We recently expanded to India (Bangalore) to bring our European AI expertise and innovation to new frontiers, working with cutting-edge technologies to solve complex business challenges.

About the Position

We are looking for a skilled Python Developer to join our team. In this role, you will work on processing petabyte-scale data and analytics on GCP, build and maintain scalable ML environments with CI/CD and Kubeflow, and develop web applications with Flask or FastAPI for Data Science teams. This position is ideal for someone who enjoys solving complex data and automation challenges in modern cloud environments.

Responsibilities

  • Developing Python-based solutions for large-scale data processing and analytics on GCP.
  • Building and maintaining scalable Machine Learning environments, including CI/CD pipelines and job orchestration using tools like Kubeflow and GitHub Actions.
  • Creating web applications with Flask or FastAPI that help Data Science teams automate and run complex analyses more efficiently.

Requirements

  • Good programming skills with 5–8 years experience in Python and SQL.
  • Prior experience in designing and implementing large scale systems based on Big Data technologies.
  • Prior experience with FastAPI, CI/CD, GitHub Actions or other related technologies.
  • Experience or/and knowledge of cloud technologies (GCP preferred).
  • Knowledge of Open Source projects is a plus.

Nice to Have

  • Contributions to open-source AI projects.
  • Experience with Agile/Scrum methodologies.

We Offer

  • Work with a senior team of 10+ years experienced ML/AI experts.
  • Hands-on experience with latest Generative AI and agentic technologies.
  • Global exposure working on projects for leading brands.
  • Technology-agnostic environment fostering innovation.
  • Competitive compensation package.
  • Opportunity to shape AI strategy in our growing India operations.

Location & Work Mode

  • City: Bangalore
  • Country: India
  • Work Mode: On-site

Contact Us

Can’t find your ideal role? No worries! You’re welcome to send us your resume, and we’ll reach out if a suitable position comes up. We believe we’ll find the right spot for you that matches your skills and aspirations.

© DS STREAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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DS STREAM

FMCG,Retail,E-commerce,Healthcare,Telco,Finance,Logistics

About the Company DS Stream is a fast-growing AI & Data consulting company focused on analytics and data management for global brands. The company employs a team of over 200 senior experts who specialize in Data Science, Machine Learning, and MLOps. Their mission is to transform know-how into effective architectures for their clients. Products, Services & Tech Stack Core Solutions Data Engineering: Transforming disparate data into valuable insights for informed business decisions. AI Engineering: Providing modern AI technologies and custom AI tools to support AI-driven business decisions. MLOps: Integrating ML technologies with DevOps practices to automate Machine Learning workflows and improve efficiency. Technologies & Frameworks Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base Industries Served: FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and more. Engineering Scale The company delivers tailored and complex data analytics for global corporations. Projects include real-time intelligence for the longevity ecosystem, category management for FMCG, and sales automation for resort packages.

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