Data Science Engineer

As a Data Science Engineer, you will be contributing to the development of intelligent, autonomous AI systems. You should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. - Design and develop Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen - Implement RAG Pipelines, fine-tune Language Models, and train NER Models - Develop Knowledge Graphs and optimize AI workflows - Collaborate cross-functionally to ensure successful implementation of AI solutions To excel in this role, you should meet the following qualifications: - Minimum of 4 years of professional experience in AI/ML development - Proficiency in Python, Python API frameworks, and SQL - Familiarity with AI/ML frameworks like TensorFlow or PyTorch - Experience in deploying AI models on cloud platforms - Understanding of LLMs, SLMs, semantic technologies, and MLOps tools - Hands-on experience with vector databases and embedding techniques - Experience in developing AI solutions for specific industries The company offers various benefits under a flexible scheme, including: - Best-in-class leave policy - Gender-neutral parental leaves - Childcare assistance benefit reimbursement - Sponsorship for industry-relevant certifications - Employee assistance program - Comprehensive hospitalization insurance - Accident and term life insurance - Health screening You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company promotes a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They strive for a positive, fair, and inclusive work environment for all individuals. For more information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,