AIML Lead Engineer focusing on designing AI/ML solutions for digital products. Collaborating on NLP, Generative AI, and model optimization for software products.
Responsibilities
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, with 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, with the ability to lead and mentor junior engineers.
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