Position:
- Data Scientist
Company:
- Publicis Re:Sources
Location:
- Gurugram, Haryana, India
Job Type:
- Full-time
Job Mode:
- On-site
Job Requisition ID:
- Not Specified
Years of Experience:
- 0 to 2 years of relevant experience
Company Description
- 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/.
Profile Overview
- 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.
Responsibilities
Core Responsibilities:
- 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.
Additional Responsibilities:
- 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.
Qualifications
Required Qualifications:
- 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.
Preferred Qualifications:
- 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.
Additional Info
Key Highlights of the Role:
- 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.
Career Development Opportunities:
- 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.
Why Join Publicis Re:Sources:
- 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.
Please click here to apply.
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