Data Scientist

3 weeks ago


Bengaluru, India RapidBrains Full time

Job Title: Data Scientist

Experience: 6 - 8 Years

Location: Bangalore

Notice Period: 15 - 30 Days


Job Description:

We are seeking a talented Data Scientist to drive smarter decision-making through data insights, machine learning, and generative AI techniques.

As a Data Scientist, you will leverage data mining, machine learning, and NLP/LLM techniques to improve our products. A strong background in Generative AI, NLP, and Computer Vision is essential, along with hands-on experience working with Large Language Models (LLMs) and Computer Vision algorithms.


Key Responsibilities:

  • Develop AI/ML models for high-quality prediction systems.
  • Apply Generative AI, Computer Vision, Python, and ML techniques to innovate our products.
  • Integrate NLP and LLMs, training and fine-tuning models on updated datasets.
  • Optimize classifiers through feature selection and machine learning techniques.
  • Conduct data analysis, curation, preprocessing, and modeling.
  • Enhance data collection for analytics systems and work with AWS cloud platforms.
  • Collaborate with teams to design and implement advanced AI models.
  • Document requirements, methodologies, and results for stakeholders.

Technical Skills:

Mandatory:

  • 5+ years in Machine Learning or Data Science.
  • Master’s or Ph.D. in Computer Science, Data Science, or a related field.
  • Deep learning experience with CNN, Transformers, Encoder-Decoder architectures.
  • Expertise in LLMs and related applications (e.g., embedding models, prompt engineering).
  • Proficient in Python with experience in PyTorch and TensorFlow.
  • Strong applied statistics knowledge and experience with machine learning algorithms.
  • Familiarity with Computer Vision techniques and strong problem-solving skills.

Nice to Have:

  • Financial research experience.
  • Familiarity with JIRA, Confluence, and Agile methodologies.
  • Knowledge of NoSQL databases (MongoDB, Cassandra) and data visualization tools (Grafana, GGplot).

Soft Skills:

  • Excellent communication and negotiation skills.
  • Attention to detail, curiosity, and a proactive approach.

Skills & Requirements:

  • R&D, Generative AI, Computer Vision, Python, Machine Learning, NLP, LLM, and Data Science.


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