Python Data Scientist

4 hours ago

Bhubaneshwar, Odisha, India Ltimindtree Full time

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  • Full Name (As per Aadhar) :
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  • Are available for F2F Interview on interview on 20-Dec-25 at Bhubaneswar :
  • Total Working Experience :
  • Relevant Experience in Python Data Science :
  • Relevant Experience in AI/ML :
  • Relevant Experience in Generative AI :
  • Relevant Experience in Agentic AI :
  • Relevant Experience in AWS / Azure / GCP :
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  • This is for Data sciences Gen AI. PFB the JD:

    JD-

    Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP

    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

    JD_

    More than 6 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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