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Location

Bangalore | India

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Job description

About Quantzig: Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning, and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

Please find the job description below.

Job Title:

Senior Data Scientist Experience Level:

4-6 years

We are seeking an experienced and innovative

Data Scientist with 4-6 years

of hands-on experience to join our dynamic team. The ideal candidate will have a strong background in

data science, proficiency in Azure, Python, Git, and SQL, and expertise in MLOps, OCR, OpenAI LLM, and NLP.

If you are passionate about leveraging cutting-edge technologies to solve complex problems and have a proven track record in developing and deploying machine learning models, we want to hear from you.

Responsibilities: Collaborate with cross-functional teams to understand business requirements and design data-driven solutions. Develop end-to-end

machine learning pipelines , emphasizing

MLOps

best practices for model deployment and monitoring. Utilize

Python, Git, and SQL

to clean, preprocess, and analyze diverse datasets. Specialize in

Optical Character Recognition (OCR)

techniques for extracting information from images and documents. Leverage

OpenAI Language Model (LLM)

and

Natural Language Processing (NLP)

for text analysis and understanding. Implement and optimize algorithms for pattern recognition, sentiment analysis, and other NLP tasks. Stay current with emerging technologies, tools, and frameworks in the data science and

AI domains.

Requirements: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 4-6 years of hands-on experience in data science and machine learning. Strong programming skills in Python, with a focus on MLOps principles and best practices. Proficiency in using Azure for data processing, storage, and machine learning services. Experience with

version control systems, particularly Git . Solid knowledge of

SQL

for data manipulation and extraction. Expertise in

OCR techniques

for image and document processing. Familiarity with

OpenAI Language Model and Natural Language Processing. Excellent problem-solving skills and attention to detail. Strong communication skills for presenting findings and insights to diverse audiences.

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Job tags

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Salary