Data Scientist

LTIMindtree

12 years

0 Lacs

Kolkata West Bengal India

Posted:1 week ago| Platform:

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Skills Required

data learning agility collaboration extract python ai ml vision aws azure algorithms svm tableau powerbi sql statistics tensorflow keras pytorch numpy communication presentation sage hadoop pyspark hive nosql mongodb testing regression

Work Mode

On-site

Job Type

Full Time

Job Description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

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- 5+ to 12 Years

Job Location- Kolkata

Responsibilities

More than 5 years of experience in 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.
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.

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