Babban Gona
Linkedin · Posted 5mo ago
Machine Learning Engineer
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Indexed description
- Design, build, and deploy machine learning models and algorithms to solve complex business problems.
- Perform data exploration, cleaning, and preprocessing to prepare datasets for model training.
- Train and optimize machine learning models, ensuring high performance and scalability.
- Stay up-to-date with the latest developments in machine learning and AI, and apply innovative techniques to improve existing models and processes.
- Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.
- Work closely with data analysts, product managers and other stakeholders to understand and address their AI requirements.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field.
- 3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
- Strong programming skills in Python.
- Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
- Experience with cloud platforms (Google Cloud, AWS).
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Competitive salary
- Health Insurance
- Pension
- Performance Bonus
- Annual paid vacation
- Group Life Insurance
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