Job
Description
We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 3+ to 16 Years Immediate Joiner to 45days Notice period Job Location- Pune More than 3 years of experience in Data Science and AI / ML domain AT least 2 3 years experience in Machine Learning Deep Learning Experience working on NLP Conversant with Python programming Good knowledge of and experience working on Generative AI Adept in Prompt Engineering Should have good understanding and experience working on Azure Cognitive Services Should be able to work on NLP Generative AI based tasks independently with minimum supervision Good communication skills" Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g., Tableau, PowerBI) and data frameworks (e.g., Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala. Analytical mind and business acumen and Strong math skills (e.g., statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AI/ML like – AWS Sage Maker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases. Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.
