AI/ML-Tech Lead

We are looking for an experienced Tech Lead AIML for leading the development and deployment of advanced AI solutions. The ideal candidate will have a strong background in statistics, machine learning, deep learning, multi-agent frameworks, Generative AI and MLOps practices. An R&D-driven mindset is crucial for driving innovation and staying ahead in this rapidly evolving field.

Total Experience Expected: 10-14 years

Key Responsibilities

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• Provide technical leadership and architectural direction in the design and implementation of advanced Generative AI applications .
• Oversee LLM fine-tuning, optimization , and evaluation strategies to address complex business needs across domains.
• Lead the development and orchestration of modular AI workflows using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI , and integrate them into enterprise-grade systems.
• Architect and manage scalable, production-ready AI deployments on cloud platforms (AWS, Azure, GCP), ensuring cost-effectiveness, high availability, and performance.
• Drive the adoption and execution of MLOps and LLMOps best practices , establishing CI/CD pipelines for reliable and automated model deployment and monitoring.
• Oversee end-to-end ML pipeline development using Apache Airflow, MLflow, and DBT, ensuring robustness, scalability, and data integrity.
• Guide the implementation and continual improvement of NER models and other deep learning solutions using TensorFlow and PyTorch.
• Strategically explore and lead the integration of multimodal LLMs and OCR technologies for real-world applications.
• Champion the design and development of robust APIs using FastAPI for scalable model serving.
• Act as a key liaison between technical teams and business stakeholders, translating business needs into AI-driven solutions.
• Mentor and upskill a team of ML/AI engineers, promoting a culture of innovation, collaboration, and continuous learning.
• Stay at the forefront of AI/ML research , evaluate emerging technologies, and guide their adoption within the organization to maintain technical leadership.
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Required Skills

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• Proven expertise in Python , Natural Language Processing, and LLM ecosystem.
• Deep experience with agentic frameworks (LangChain, AutoGen, CrewAI), fine-tuning LLMs, and building custom distilled models.
• Strong background in ML pipeline architecture , data orchestration, and cloud-native ML workflows .
• Hands-on experience with TensorFlow and PyTorch , particularly for NER and other NLP tasks.
• Working knowledge of multimodal models , OCR systems , and their integration into AI applications.
• Experience in architecting FastAPI-based APIs for high-throughput ML services.
• Familiarity with container orchestration using Docker and Kubernetes in a cloud environment.
• Track record of implementing MLOps/CI-CD best practices and production-grade ML systems.
• Demonstrated leadership in delivering AI solutions at scale, managing cross-functional teams, and influencing technical direction.
• Excellent problem-solving, decision-making, and communication skills.
• Strong mentorship mindset and the ability to grow and inspire high-performing teams.
• At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
• All of our positions are open to people with disabilities.