Senior Associate, Python Developer

Job Locations: Gurugram, Bengaluru, Pune

Work Mode: Hybrid

About us:

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients.   

In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients.

• Proven experience (Min. 5+ years) as a Python Developer with a
focus on AI and machine learning.
• Strong knowledge of Python programming and proficiency in
relevant libraries (TensorFlow, PyTorch, scikit-learn, tabula, OCR).
• Expertise in working with Open AI and Gen AI APIs.
• Solid understanding of machine learning concepts, regression, and
linear algorithms.
• Experience with prompt engineering and natural language processing
(NLP) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.
• Ability to work independently and meet project deadlines.

• Collaborate with data scientists and AI engineers to understand
  project requirements and translate them into scalable Python code.
• Develop, implement, and optimize machine learning models using
  Python libraries such as TensorFlow, PyTorch, or scikit-learn.
• Develop, implement Agentic AI solutions.
• Design and implement machine learning algorithms, including
  supervised and unsupervised learning methods, reinforcement
  learning, and deep learning techniques.
• Develop and implement evaluation metrics and methodologies to
  assess algorithm performance.
• Stay up-to-date with the latest advancements in machine learning
  and artificial intelligence and apply new techniques and technologies
  to enhance existing algorithms.
• Create and optimize prompts that elicit desired responses from AI
  language models, taking into consideration various use cases and
  user requirements.
• Analyze user interactions and feedback to iteratively enhance
  prompts for better model performance.
• Develop and implement evaluation metrics and methodologies to
  assess the effectiveness of prompts in achieving desired outcomes.
• Work closely with Open AI and Gen AI APIs to integrate their
  capabilities into our AI solutions & Perform data preprocessing, feature engineering & data
  augmentation to prepare datasets for training and evaluation.
• Conduct model evaluation, hyperparameter tuning, and performance
  optimization to achieve state-of-the-art results.
• Collaborate with the research team to stay updated on the latest
  advancements in AI and machine learning.
• Design and implement regression and linear algorithms to address
  specific business challenges.
• Create and maintain documentation for code, algorithms, and
  models & Ensure code quality, maintainability, and scalability by following best
  practices and code review processes.
• Stay informed about emerging trends in AI, machine learning, and
  related technologies like Azure cloud, azure cognitive services would be an added advantage.

• Bachelor’s or master’s degree in computer science, Data Science, or a
related field.