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Salary
≈ $18k – $36k per year (Estimated)
Location
Remote (India)also open in Colombia
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Jul 28, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

  • Lead the design, development, and implementation of ML/NLP models for various business use cases.Analyze and preprocess data, ensuring quality and security compliance.
  • Collaborate with stakeholders to understand requirements and deliver scalable solutions.Drive ML asset creation and contribute to knowledge sharing within the team.
  • Oversee deployment of models using ML pipelines and advanced MLOps practices on cloud or on-premises environments.
  • Stay updated with industry trends and propose innovative AI/ML solutions, including Generative AI and LLM-based applications

Your Profile

  • Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn), SQL.Databases: RDBMS (MySQL, Oracle), NoSQL (MongoDB, Cassandra)
  • ML/DL Frameworks: Scikit-learn, TensorFlow, PyTorch.Big Data Frameworks: Spark (Spark-ML), H2O
  • Cloud Platforms: Azure/AWS/GCP.Visualization Tools: Tableau, Power BI.Gen AI & LLMs: Familiarity with OpenAI GPT, LLaMA, or similar models; experience with LangChain or similar frameworks for RAG.
  • Predictive modeling using regression, classification, and ensemble methods.Advanced experience with deep learning (CNN, RNN, LSTM) and NLP techniques (sentiment analysis, text classification, entity recognition).
  • Familiarity with clustering, dimensionality reduction, and recommendation systems.Exposure to OCR, speech recognition, or computer vision is a plus.Strong understanding of model deployment and MLOps concepts.Hands-on experience with Generative AI concepts and building LLM-based applications.Understanding of RAG pipelines and vector databases.

What you will love about working here

  • We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
  • Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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