Module Lead AI/ML

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

Total Experience Expected: 04-06 years

Key Responsibilities:

Design and implementation of Generative AI applications.

· Fine-tune and optimize large language models (LLMs) for various use cases.

· Develop and manage AI workflows using frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI.

· Ensure scalable and efficient deployment of AI models on cloud platforms (AWS, Azure, or Google Cloud).

· Implement best practices in MLOps and LLMOps for continuous integration and deployment of AI models.

· Develop and monitor machine learning pipelines using tools like Apache Airflow, MLflow, and DBT.

· Implement Named Entity Recognition (NER) models using TensorFlow and PyTorch.

· Work with multimodal LLMs and Optical Character Recognition (OCR) technologies.

· Develop and deploy APIs using FastAPI.

· Collaborate with cross-functional teams to integrate AI solutions into existing systems.

· Engage in continuous learning and research to stay abreast of the latest developments in AI and incorporate them into projects.

Required Skills:

· Strong proficiency in Python and experience with NLP techniques.

· Expertise in agentic frameworks such as LangChain, AutoGen, and CrewAI.

· Experience with LLM fine-tuning and creating distilled models from hosted LLMs.

· Knowledge of building data pipelines for model training and deployment using tools like Apache Airflow, MLflow, and DBT.

· Proficiency in TensorFlow and PyTorch for developing NER models.

· Experience with multimodal LLMs and OCR technologies.

· Familiarity with developing and deploying APIs using FastAPI.

· Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.

· Experience in creating CI/CD pipelines and implementing MLOps practices.

· Demonstrated R&D mindset, including open-mindedness, persistence, critical thinking, and a commitment to continuous learning.

· Strong problem-solving skills and the ability to work in agile teams.

· Excellent communication and leadership abilities.

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.