Data Scientist/Machine Learning Engineer-Chennai
Technology Practice
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Full Time
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Atleast 4 Years
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4 months ago
Annual Salary
As Per Market Standard
Data Scientist/Machine Learning Engineer-Chennai
Overview - Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields. 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector. Proven track record of successful implementation of AI/ML models with tangible business impact. Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
- Generative AI Expertise (Preferred): Knowledge or experience in Generative AI techniques, such as GANs (Generative Adversarial Networks), to explore creative applications like synthetic data generation, customized jewellery design, or personalization algorithms would be an asset.
Skills
AI
ML
NLP
Python
Job Summary
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Location
-
Job Type
Full Time
-
Salary
As Per Market Standard
-
Date Posted
4 months ago
Job Description
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
- Generative AI Expertise (Preferred): Knowledge or experience in Generative AI techniques, such as GANs (Generative Adversarial Networks), to explore creative applications like synthetic data generation, customized jewellery design, or personalization algorithms would be an asset.
