AI/ML Engineer

1 week ago

Gurgaon, Haryana, India Think Future Technologies Pvt Ltd Full time ₹ 15,00,000 - ₹ 20,00,000 per year
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

Why join us?

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

More reasons to join us:

  • 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

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