Data Scientist

1 month ago

bangalore, 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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