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AIML Lead Engineer

3pillarglobal.com Logo

3Pillar Global

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Location:
India , Bangalore

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We build breakthrough software products that power digital businesses. We are 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. Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve For Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond.

Job Responsibility:

  • Lead the design and implementation of AI/ML models and solutions for complex business problems
  • Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
  • Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
  • Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks
  • Implement computer vision solutions using OpenCV and related tools
  • Collaborate with cross-functional teams to integrate AI models into production systems
  • Apply MLOps best practices and manage CI/CD pipelines for model deployment
  • Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Requirements:

  • 8+ years of total IT experience
  • at least 4+ years in AI/ML development
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
  • Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc.
  • Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
  • Hands-on experience with Generative AI, LLMs, and Agentic AI
  • Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
  • Familiarity with computer vision frameworks (OpenCV, etc.)
  • Excellent problem-solving and communication skills
  • Ability to lead and mentor junior engineers

Additional Information:

Job Posted:
December 14, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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