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Re:Sources India Gurgaon IT

0 years

5 Lacs

Posted:7 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

  • Technology
  • Gurgaon, India
  • Publicis Re:Sources India
  • Intermediate
  • On-Site
  • 7/7/2025
  • 115065


Company description

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.

Overview

Title

GEN AI and Machine Learning Engineer

Skills (must have)

  • Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience on Agentic AI/ Frameworks
  • Strong programming skills in languages such as Python, SQL etc.
  • Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms
  • Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.
  • Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
  • Knowledge of math, probability, and statistics.
  • Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
  • Exposure in developing API using Flask/Django.
  • Good experience in cloud infrastructure such as AWS, Azure or GCP
  • Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)

Skills (good to have)

Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc.
Good to have experience in Docker, Kubernetes etc
Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React
Experience in Flask/Django is a bonus

Responsibilities

  • Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
  • Develop, implement, and deploy AI/ML solutions.
  • Preprocess and analyze large datasets to identify patterns, trends, and insights.
  • Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
  • Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
  • Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
  • Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

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