Lead AI ML Engineer

Reposted 8 Days Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Hybrid
Senior level
Software
The Role
Lead the design and implementation of AI/ML models, focusing on NLP, Generative AI, and MLOps while mentoring junior engineers.
Summary Generated by Built In
3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI
 
 
What It's Like to Work at 3Pillar:
At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
  • Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
  • Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
  • Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
  • Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.

Minumum Qualification

  • 8+ years of experience building and deploying AI/ML models (ML, NLP, deep learning).
  • Proven experience delivering ML solutions from concept to production.
  • Strong leadership and ability to communicate technical concepts to non-technical stakeholders.
  • Proficient in Python with experience using PyTorch, TensorFlow, Scikit-learn.
  • Hands-on experience with data preparation, feature engineering, model training, and tuning (Pandas, Spark).
  • Experience with NLP, computer vision, LLMs (APIs or fine-tuning), Agentic AI, and MCP-based architectures.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps/CI/CD tools (MLflow, GitHub Actions).
  • Knowledge of vector embeddings, vector stores, RAG, and LLM frameworks (LangChain, LlamaIndex).
  • Experience with model monitoring and performance tracking tools.

Additional Desired Experience

  • Led teams building GenAI, LLM, Agentic AI, or MCP-driven applications.
  • Experience with vector databases (FAISS, Pinecone) and Hugging Face ecosystem.
  • Built reusable AI frameworks, platforms, or internal tooling.
  • Contributions to open-source projects, research papers, or technical blogs.

Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
 

Skills Required

  • 8+ years of total IT experience
  • 4+ years in AI/ML development
  • Strong proficiency in Python and ML frameworks
  • Experience with NLP libraries
  • Solid understanding of AI/ML algorithms
  • Hands-on experience with Generative AI and LLMs
  • Working knowledge of MLOps tools
  • Familiarity with computer vision frameworks
  • Excellent problem-solving and communication skills
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The Company
HQ: Fairfax, VA
1,784 Employees
Year Founded: 2006

What We Do

3Pillar Global builds breakthrough software products that power digital businesses. 3Pillar is an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Leveraging a lean and agile approach, 3Pillar delivers value-generating, digital solutions with specialized product strategy and management, user experience design, as well as software and data engineering expertise across mobile, cloud, and disruptive technologies.

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