Data Science Specialist

Wipro; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

An established industry player is seeking a Data Scientist with expertise in operational research and optimization. This role involves leveraging AI and machine learning to build and deploy innovative solutions, ensuring adherence to Responsible AI guidelines. The ideal candidate will have strong programming skills in Python and experience with tools like TensorFlow and RapidMiner. Join a dynamic team where your contributions will drive impactful projects and enhance business strategies in the IT and financial services sectors. If you are passionate about data and AI, this opportunity is perfect for you.

Qualifications

• Strong understanding of Data Science, ML, and DL principles.
• Proficiency in Python, TensorFlow, and PyTorch.

Responsibilities

• Build and deploy end-to-end ML models leveraging metrics for predictions.
• Optimize model performance and scalability for real-time inference.

Skills

Data Science

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

Operational Research

RapidMiner

SQL

Tools

RapidMiner

TensorFlow

PyTorch

Job description

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Title: Data Scientist - Operational Research/Optimization

Mandatory Skills:

• Data Science, ML, DL, Operational Research, RapidMiner, Python, TensorFlow, Pytorch, Django, SQL

Preferred Skills:

Job Description / Roles & Responsibilities (in Detail)

Mandatory

• Strong understanding of Data Science, machine learning, and deep learning principles and algorithms.
• Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
• Hands-on experience with RapidMiner.
• Experience with implementing optimization solutions via operational research methods.
• Knowledge of forecasting techniques and experience.
• Ability to work with large datasets and data preprocessing techniques.
• Strong backend Python development skills, applying machine learning techniques using TensorFlow and Pytorch.
• Build and deploy end-to-end ML models, leveraging metrics for predictions, recommendations, search, and growth strategies.
• Expertise in applying ML techniques such as forecasting, classification, clustering, deep learning, optimization methods, supervised and unsupervised learning.
• Optimize model performance and scalability for real-time inference and deployment.
• Experiment with hyperparameters and model configurations to improve AI model quality.
• Ensure AI/ML solutions are developed and validated following Responsible AI guidelines & standards.
• Proven ability to develop, debug, and apply machine learning models.
• Strong problem-solving and critical thinking skills for complex AI problems.
• Excellent communication and teamwork skills for cross-functional collaboration.

Good to have:

• Experience with finance projects.
• Knowledge of NLP, LLM, LangChain, and Generative AI.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Accounting/Auditing, Finance, and Information Technology

Industries: IT Services, IT Consulting, Financial Services

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