Publicis Resources is hiring for a fresher entry level Data Scientist role in India

Position:

Publicis Re:Sources serves as the backbone for Publicis Groupe, the world’s leading agency group.
Established in 1998 with a modest team, it has since grown into a global organization of over 5,000 employees operating in more than 66 countries.
The organization specializes in delivering full-service, end-to-end shared services, empowering the agencies under Publicis Groupe to focus on their strengths: innovation and client transformation.
Publicis Re:Sources provides a diverse range of business services, including technology solutions, finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management.
Continuously evolving to adapt to the dynamic communications industry, Publicis Re:Sources embraces a culture of innovation that resonates globally.
For further details about the company and its global impact, visit: http://www.publicisresources.com/.

The role of Junior Data Scientist is pivotal within the organization, requiring a combination of technical proficiency, analytical expertise, and problem-solving skills.
The selected candidate will be responsible for designing, implementing, and optimizing generative models using advanced machine learning and deep learning methodologies.
Applications of the role span across diverse domains such as natural language processing (NLP), computer vision, and audio processing, providing a unique opportunity to engage with cutting-edge technologies.
The role also emphasizes the ability to analyze and interpret vast datasets and effectively communicate insights to diverse stakeholders, both technical and non-technical.
Collaborating with cross-functional teams, the Junior Data Scientist will contribute to identifying novel opportunities and applications for generative modeling within the organization.
This role offers an exciting platform for those who are passionate about exploring foundation models and generative AI to make a tangible impact in real-world scenarios.

Develop and optimize generative models leveraging advanced machine learning and deep learning techniques.
Apply these models across a variety of fields, including but not limited to natural language processing, computer vision, and audio processing.
Conduct thorough analysis and interpretation of extensive datasets using statistical and computational methodologies.
Effectively communicate analytical findings and insights to both technical and non-technical stakeholders, ensuring clarity and actionable outcomes.
Collaborate with interdisciplinary teams to uncover new use cases and opportunities for the implementation of generative models.

Stay updated on the latest advancements in the foundation models literature and incorporate innovative techniques into project work.
Design scalable, efficient solutions to address complex data challenges within the organization.
Mentor junior team members or peers, providing guidance on the application of machine learning and deep learning models.

Bachelor’s degree in Computer Science, Data Science, or a related field.
A strong foundation in machine learning and deep learning principles.
Familiarity with foundational concepts in the literature of generative and foundation models.
Hands-on experience in developing, fine-tuning, and optimizing generative models or foundation models.
Proficiency in programming languages such as Python or R for data analysis and model development.
Practical knowledge of deep learning frameworks, including TensorFlow and PyTorch.
Demonstrated ability in problem-solving and analytical thinking to approach complex technical challenges.
Excellent communication skills to convey technical information effectively to diverse audiences.

Experience in generative models specific to NLP, computer vision, or audio processing, such as LLMs, GANs, VAEs, or diffusion models.
Familiarity with deploying AI models at scale using frameworks like FastAPI for API deployment, CI/CD pipelines for integration and delivery, and Docker/Kubernetes for containerization and scaling.
Hands-on experience with cloud platforms such as AWS or Azure, leveraging them for computing and data processing tasks.

This position offers a unique chance to engage in groundbreaking projects leveraging generative AI and deep learning techniques.
It provides exposure to various applications, including NLP, image recognition, and audio analysis, allowing candidates to broaden their expertise across multiple domains.
Publicis Re:Sources fosters a collaborative and innovative work culture, encouraging professionals to push the boundaries of technology and analytics.
The role is designed for professionals who are at the beginning of their careers but have a strong technical aptitude and enthusiasm for cutting-edge technologies.

Access to training programs and resources for continuous learning in machine learning, deep learning, and AI technologies.
Opportunities to collaborate with global teams, gaining insights into diverse markets and industries.
A chance to contribute to impactful projects that align with the strategic priorities of Publicis Groupe.

Be part of a globally recognized organization that values innovation and transformation.
Work in a dynamic environment that encourages creativity and professional growth.
Gain hands-on experience with state-of-the-art technologies in data science and AI.
Enjoy the support of a collaborative team that values diversity and cross-functional collaboration.