AI/ML Engineer (Remote)

india, Haryana, Gurugram

Full–time

Posted on: 6 days ago

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