Qureos Mentor

DesignNex Technologies

We are seeking a highly motivated and enthusiastic Data Scientist with over 2-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.Key Responsibilities:<ul><li>Develop and implement machine learning models and algorithms.</li><li>Work closely with project stakeholders to understand requirements and translate them into deliverables.</li><li>Utilize statistical and machine learning techniques to analyze and interpret complex data sets.</li><li>Stay updated with the latest advancements in AI/ML technologies and methodologies.</li><li>Collaborate with cross-functional teams to support various AI/ML initiatives.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>Strong understanding of machine learning , deep learning and Generative AI concepts.</li></ul>Preferred Skills:<ul><li>Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python</li><li>Strong knowledge and experience in Generative AI/ LLM based development.</li><li>Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).</li><li>Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.</li><li>Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data &ndash; including indexing, search, and advance retrieval patterns.</li><li>Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.</li><li>Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval.</li><li>Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine</li><li>knowledge bases with Generative AI models.</li><li>Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs.</li><li>Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).</li><li>Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).</li><li>Experience with version control systems (e.g., Git, CodeCommit).</li></ul>Good to have Skills<ul><li>Knowledge and Experience in building knowledge graphs in production.</li><li>Understanding of multi-agent systems and their applications in complex problem- solving scenarios.</li></ul>Job Types: Full-time, PermanentPay: &#8377;1,500,000.00 - &#8377;3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Experience:<ul><li>NLP: 2 years (Preferred)</li><li>AWS: 2 years (Preferred)</li><li>AI/ML: 2 years (Preferred)</li></ul>Work Location: In person

Data Scientist

Join DesignNex Technologies and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DesignNex Technologies

ABOUT_COMPANY

Data Scientist