Data Scientist - Machine Learning

About Capgemini:

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Job Summary:

As an AI Architect, you will design and plan the frameworks that allow businesses to use AI technologies effectively and ensure that AI implementations support business goals, enhance operational efficiency, and drive technological innovation.

Roles and responsibilities:

• Developing and deploying AI/ML models with a focus on deep dive analysis.
• Implementing end-to-end data-driven solutions using Analytical modeling techniques, machine learning, deep learning, and MLOps frameworks.
• Demonstrating expertise in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Over 10 years of experience in AI/ML model development and deployment.
• At least 3 years of experience as a Solution Architect.
• Expertise in implementing data-driven solutions using statistical techniques, machine learning, deep learning, and MLOps frameworks.
• Strong competencies in supervised and unsupervised machine learning, deep learning algorithms, and MLOps.
• Experience with model validation, explainability, monitoring, and management (AI Glass Box).
• Knowledge of latent semantic analysis, document similarity models, document classification, text analytics, and language models.
• Expertise in recommender systems, computer vision, and image analytics.
• Familiarity with neural networks, convolutional neural networks, and recurrent neural networks.
• Experience in statistical modeling and predictive analytics.
• Experience in Conceptualizing and implementing Gen AI Solutions is must.

Tools & Technologies:

Python

Keras/TensorFlow

NLTK

SQL

PySpark

Hive

ADO

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognized by Ethisphere as one of the World's Most Ethical Companies for the last 10 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.