
Sr. Data Scientist- Gen AI
4 weeks ago
Requirement-
- More than6 yearsof experience inData Engineering, Data Science and AI / ML domain
- Excellent understanding ofmachine learning techniquesand 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, Java or C++ is an asset
- 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 Modelslike 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 AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.
Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure)
Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps.
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