Design, develop, and deploy machine learning and deep learning models (forecasting, NLP, computer vision, recommendations). Collaborate with data science and engineering teams, perform data analysis and manipulation, use version control and CI/CD, and leverage cloud platforms and databases for scalable model training and deployment.
Job Summary
We are seeking a talented and experienced Data Scientist with strong expertise in machine learning to join our dynamic team. The ideal candidate will have a solid background in software development, extensive experience with Python, and a proven track record in developing and deploying machine learning models. You will work collaboratively with our data science and engineering teams to build scalable machine learning solutions that drive our business forward.
Required qualifications
- Master's degree in Computer Science, Statistics, Mathematics, or a related field (preferred).
- 4+ years of relevant work experience in Data Management, Data Science, Analytics or BI (Must).
- Design, develop, and deploy ML/DL models for forecasting, NLP, computer vision, and recommendation systems.
- Strong proficiency in Python programming with experience in data analysis libraries (e.g. NumPy, Pandas, Matplotlib) and familiarity with data manipulation techniques. (Must)
- In-depth knowledge of machine learning algorithms (e.g. supervised learning - linear regression, random forests, support vector machines, unsupervised learning - k-means clustering, principal component analysis, deep learning - convolutional neural networks, recurrent neural networks). (Must)
- Experience with cloud platforms (e.g. AWS SageMaker, GCP AI Platform, Azure Machine Learning) for model training and deployment (a plus).
- Stay updated on the latest advancements in ML, and data science tools/techniques.
- Experience with version control systems (Git) and familiarity with continuous integration/continuous delivery (CI/CD) pipelines.
- Experience with database technologies (SQL and NoSQL) for data storage and retrieval (a plus).
- Working knowledge of Linux operating systems and familiarity with the command line.
What We Have For You
Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Bi-annual performance-tied increments & performance recognition awards and a great lean and agile work culture!
Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!
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