The Data Science Engineer will develop scalable ML and Generative AI solutions, specializing in model training, document processing pipelines, and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.
Key Responsibilities:
– Develop and deploy Machine Learning and Generative AI solutions using Python
– Design and refine prompt engineering strategies for LLM applications
– Build document extraction, parsing, and chunking pipelines
– Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
– Implement embedding generation and vector search solutions
– Integrate ML models with vector databases and MongoDB
– Ensure code quality, scalability, and production readiness
Required Qualifications
– Expert-level proficiency in Python
– Strong experience with model training, evaluation, and tagging workflows
– Hands-on experience with document extraction and chunking techniques
– Solid understanding of ML algorithms and Generative AI concepts
– Experience with vector databases and/or MongoDB
Role Descriptions: Role OverviewWe are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python| hands-on experience in model training| document processing pipelines| and strong knowledge of vector databases and modern MLGenAI frameworks.Key ResponsibilitiesDevelop and deploy machine learning and GenAI solutions using PythonDesign and optimize prompt engineering strategies for LLM-based applicationsBuild document extraction| parsing| and chunking pipelines for structured and unstructured dataTrain| evaluate| and fine-tune ML models manage tagging and labeling workflowsImplement embedding generation and vector search solutionsIntegrate ML models with Vector DBs and MongoDBEnsure code quality| scalability| and production readinessRequired QualificationsExpert-level proficiency in PythonStrong experience in model training| evaluation| and tagging workflowsHands-on experience with document extraction and chunking techniquesSolid understanding of ML algorithms and Generative AI conceptsExperience working with Vector Databases andor MongoDB
Essential Skills: Role OverviewWe are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python| hands-on experience in model training| document processing pipelines| and strong knowledge of vector databases and modern MLGenAI frameworks.Key ResponsibilitiesDevelop and deploy machine learning and GenAI solutions using PythonDesign and optimize prompt engineering strategies for LLM-based applicationsBuild document extraction| parsing| and chunking pipelines for structured and unstructured dataTrain| evaluate| and fine-tune ML models manage tagging and labeling workflowsImplement embedding generation and vector search solutionsIntegrate ML models with Vector DBs and MongoDBEnsure code quality| scalability| and production readinessRequired QualificationsExpert-level proficiency in PythonStrong experience in model training| evaluation| and tagging workflowsHands-on experience with document extraction and chunking techniquesSolid understanding of ML algorithms and Generative AI conceptsExperience working with Vector Databases andor MongoDB
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Machine Learning~Digital : Mongo DB~Digital : Python for Data Science~Generative AI~AI & Gen AI – Products & Tools
Experience Required: 10 & Above