AI/ML Engineer (Remote)

India·GurugramRemotemid

Machine Learning EngineerData

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Quick Summary

Overview

Description: We are seeking a skilled Data Scientist to join our dynamic team. The ideal candidate should have a strong background in Python programming, SQL, and practical experience with machine learning libraries such as Pytorch and Scikit-learn.

Technical Tools

awsazuregcppythonpytorchscikit-learnsqltensorflowdata-analysisdeep-learningmachine-learning

Description:

We are seeking a skilled Data Scientist to join our dynamic team. The ideal candidate should have a strong background in Python programming, SQL, and practical experience with machine learning libraries such as Pytorch and Scikit-learn. As a Data Scientist, you will collaborate with cross-functional teams to analyze large datasets, develop machine-learning models, and deploy solutions to solve complex business problems

Qualification:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Master’s degree preferred.
2+ years of experience in data science, with a strong emphasis on Machine Learning (ML), Computer Vision, Deep Learning, and Generative AI
Proven experience in deploying machine learning models in production environments.
Proficiency in Python, R, or similar programming languages for data analysis and model development.
Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras)
Strong experience with data wrangling, feature engineering, and preprocessing techniques
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment
Strong knowledge of SQL and NoSQL databases for data manipulation and retrieval

What We Offer

~1 min read

You'll have the opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously

4.4 Glassdoor Rating
Fully remote work environment
Exposure to cutting-edge technologies and international clients spanning various industries
Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement
Profitable and bootstrapped company
Flexible working hours with a 5-day workweek
Over 30 paid leaves annually
Merit-based compensation with above-average annual increments
Sponsored team luncheons, festive celebrations, and semi-annual retreats