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1730 - Data Scientist

Karnataka, India (On-site)

1730 - Data Scientist

1 Month ago • 1-2 Years • Artificial Intelligence

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

deep-learning

reinforcement-learning

data-science

forecasting-budgeting

unity

tensorflow

algorithms

kubernetes

microservices

transfer-learning

python

docker

pytorch

model-deployment

organisational

Job Description

This Data Scientist role involves designing and developing optimization techniques, creating a chatbot using generative AI, and building AI/ML/deep learning models for time series forecasting. Responsibilities include identifying critical model features, implementing algorithms, presenting findings, collaborating with AI engineers for deployment, and working with NLP and RL technologies. The ideal candidate will have strong proficiency with LLMs or other generative AI, experience with MLOps, cloud computing, and proficiency in Python, TensorFlow, and PyTorch.

Must have:

1-2 years of relevant experience
Strong proficiency with LLMs
AI/ML/Deep Learning expertise
MLOps experience
Proficiency in Python, TensorFlow, PyTorch

Good to have:

Experience with cloud computing
Optimization, time-series forecasting, reinforcement learning
NLP, Deep Learning, Transfer Learning
Familiarity with Docker and Kubernetes

About the job

Seeking a passionate, talented, and innovative Data Scientist with a strong drive for learning and exploration. This individual will be tasked with developing data science models utilizing AI, ML, and deep learning technologies, as well as creating a chatbot aimed at enhancing strategic decision-making processes.

Key Responsibilities

Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.

Generative AI – Design and develop chatbot using cutting edge technologies.

Model Creation & Algorithm Implementation: Identify critical model features, and model development using AI, ML and Deep learning, Time series forecasting algorithms.

Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).

Results Synthesis & Industrialization: Present findings to the business and collaborate with AI engineers for model deployment.

Coding & Debugging: Perform coding, debugging, testing, and troubleshooting throughout the application development process.

Collaborate with other business team resources to identify, develop, test, and create new solutions/products.

Qualifications

Minimum of 1-2 years of relevant experience in data science, demonstrating a track record of successful projects

Strong proficiency with Large Language Models (LLMs) or other Generative AI

Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent

Comprehensive understanding of AI, ML, and deep learning with experience in MLOps

Proficiency in optimization, time-series forecasting, and reinforcement learning

Experience with cloud computing in the context of ML and AI

Proficient in programming languages including Python, TensorFlow, PyTorch, and other relevant AI frameworks.