Data Scientist

1 month ago

india LTIMindtree Digital Engineering and Assurance Full time

F2F Weekend Drive - Data Scientist - 19th October 2024 - Hyderabad


Job description

We are having a weekend drive for the requirement of a Data Scientist at our LTIM Hyderabad office.

Date - 19th October

Experience - 5+ Years

Mandatory Skills - Data Science, Gen AI, Python, RAG and Cloud (AWS/Azure)

Notice Period - Immediate to 60 Days only

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, Inference, Model training, Model Deployment


Generic JD :

  • More than 5 years of experience in Data Engineering, Data Science and AI / ML domain
  • 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, 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 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 AIML and Big Data technologies like AWS SageMaker, 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

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