Capgemini

Global consulting, technology services, outsourcing

Senior Data Scientist

Applied Machine LearningUpdated on Nov 2

Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

Use Python with NumPy, Pandas, Matplotlib, and Seaborn, and SQL.
Work with relational databases including MySQL and Oracle, and NoSQL databases including MongoDB and Cassandra.
Use machine-learning and deep-learning frameworks including Scikit-learn, TensorFlow, and PyTorch.
Work with big-data frameworks including Spark (Spark ML) and H2O; basic exposure to H2O is specified.
Have basic experience with cloud platforms including Azure, AWS, or GCP.
Use visualization tools including Tableau and Power BI.
Be familiar with OpenAI GPT, LLaMA, or similar models, and have experience with LangChain or similar frameworks for retrieval-augmented generation.
Apply predictive modeling using regression, classification, and ensemble methods.
Have basic experience with deep learning methods including CNN, RNN, and LSTM, and natural language processing techniques including sentiment analysis and text classification.
Be familiar with clustering, dimensionality reduction, and recommendation systems.
Understand model deployment and MLOps concepts.
Have exposure to generative AI concepts and building applications based on large language models.
Understand retrieval-augmented generation pipelines and vector databases.

Responsibilities

Develop and implement machine-learning and natural-language-processing models for business use cases.
Analyze and preprocess data, ensuring quality and security compliance.
Collaborate with stakeholders to understand requirements and deliver solutions.
Support machine-learning asset creation and contribute to knowledge sharing within the team.
Assist in deploying models using machine-learning pipelines and MLOps practices in cloud or on-premises environments.
Stay updated with industry trends and propose AI and machine-learning solutions.

Desired Qualifications

Exposure to optical character recognition, speech recognition, or computer vision.

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

Develop and implement 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 solutions.
Support ML asset creation and contribute to knowledge sharing within the team.Assist in deploying models using ML pipelines and MLOps practices on cloud or on-premises environments.Stay updated with industry trends and propose innovative AI/ML solutions.
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 (basic exposure. Cloud Platforms: Azure/AWS/GCP (basic experience)
.Visualization Tools: Tableau, Power BI.Gen AI & LLMs: Familiarity with OpenAI GPT, LLaMA, or similar models; experience with LangChain or similar frameworks for RAG

Your Profile

Predictive modeling using regression, classification, and ensemble methods.Basic experience with deep learning (CNN, RNN, LSTM) and NLP techniques (sentiment analysis, text classification).
Familiarity with clustering, dimensionality reduction, and recommendation systems.Exposure to OCR, speech recognition, or computer vision is a plus.
Understanding of model deployment and MLOps concepts.Exposure to 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.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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