AIML-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

Qualifications :

Key Responsibilities:

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.

Required Skills:

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.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time