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Bengaluru, Karnataka, IN
Actively hiring, first seen by us 1 day agoDesign and implement AI-driven systems that transform user experiences and business processes
Fine-tune and adapt LLMs for domain-specific applications using RLHF and instruction tuning
Build intelligent AI agents to solve complex business challenges
Develop and optimize NLP pipelines for search relevance, intent detection and content generation
Deploy and scale GenAI solutions on AWS, Azure or GCP
Design and implement AI-driven systems that transform user experiences and business processes.
Fine-tune and adapt large language models (LLMs) for domain-specific applications using advanced techniques like RLHF and instruction tuning.
Build intelligent AI agents to solve complex business challenges using generative AI technologies.
Develop and optimize NLP pipelines for search relevance, intent detection, and content generation.
Deploy and scale GenAI solutions on cloud platforms such as AWS, Azure, or GCP.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 71.
From 4,626 similar postings that came down. Coming down is not always a hire.
251 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview Senior Associate L2 – Data Science (Generative AI) Publicis Sapient is looking for a Senior Associate L2 – Data Science (Generative AI) to join our Data & AI team and drive next-generation AI-powered solutions. In this role, you will design and implement scalable GenAI systems leveraging Large Language Models (LLMs) and advanced AI techniques to solve complex business problems. You will work at the forefront of innovation, building intelligent systems that deliver personalized, data-driven digital experiences and unlock business value for global clients. Your Impact: • Design and implement AI-driven systems that transform user experiences and business processes. • Fine-tune and adapt large language models (LLMs) for domain-specific applications using advanced techniques like RLHF and instruction tuning. • Build intelligent AI agents to solve complex business challenges using generative AI technologies. • Develop and optimize NLP pipelines for search relevance, intent detection, and content generation. • Integrate multi-modal systems (text, images, metadata) to enhance user insights and interactions. • Optimize AI pipelines for scalability, performance, and real-time responsiveness in production. • Deploy and scale GenAI solutions on cloud platforms such as AWS, Azure, or GCP. Qualifications Your Skills & Experience: • 5.5–8 years of experience with at least 2 years in Generative AI. • Strong experience fine-tuning and deploying large language models (LLMs, VLLMs, vision models). • Hands-on experience with GenAI frameworks like LangChain and LlamaIndex. • Experience with vector databases such as Milvus, FAISS, or ChromaDB. • Knowledge of distributed training/inference frameworks like Ray, vLLM, or BentoML. • Experience working with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). • Strong understanding of prompt engineering, ML workflows and Agentic AI. Additional information Set Yourself Apart With: • Experience building AI agents using frameworks like LangGraph, CrewAI, or Autogen. • Knowledge of open-source LLM ecosystems (HuggingFace models). • Experience in deploying production-ready GenAI solutions using OpenShift or Kubernetes. • Strong understanding of multi-modal AI models (LLM, VLM, GANs, VAEs) • Exposure to DevOps practices for scalable AI systems. Benefits of Working Here: Gender-Neutral Policy 18 paid holidays throughout the year. Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well-being.
Complete your application on sapient-publicisgroupe.icims.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Bengaluru, Karnataka, IN
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