Senior Machine Learning Engineer
Bengaluru, Karnataka, India
- Remote-first
- Website
- @weekdayworks 𝕏
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Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 2500000 - Rs 3000000 (ie INR 25-30 LPA)
Min Experience: 4 years
Location: Bengaluru
JobType: full-time
We are seeking a highly skilled Senior Machine Learning Engineer to join our data science team focused on retail AI applications. In this role, you will develop and deploy advanced machine learning models that drive intelligent decision-making across product personalization, trend forecasting, and risk management.
You’ll work closely with product and engineering teams to integrate ML solutions into a dynamic platform, influencing both customer experiences and backend optimization strategies.
Requirements
Key Responsibilities:
- Design and implement AI-powered solutions for personalization, trend prediction, and customer behavior modeling.
- Develop predictive analytics models to optimize decision-making in retail and trading environments.
- Train, fine-tune, and deploy machine learning models, leveraging structured and unstructured data sources.
- Collaborate with software engineers to integrate ML solutions into production systems.
- Explore and apply reinforcement learning and NLP techniques where relevant to the platform’s capabilities.
- Utilize cloud-based AI tools (e.g., AWS SageMaker, Google AI) for model training and deployment.
Required Qualifications:
- 3–5 years of hands-on experience in machine learning model development and deployment.
- Proficiency in Python, with exposure to JavaScript or TypeScript.
- Expertise in frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Strong experience with Pandas, NumPy, SQL, and applied NLP.
- Exposure to reinforcement learning and real-time model inference.
- Understanding of crypto markets, trading strategies, or technical analysis is a plus.
- Familiarity with cloud AI services such as AWS SageMaker or Google AI Platform.
- Excellent analytical, problem-solving, and collaboration skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Crypto Engineering JavaScript Machine Learning ML models Model inference Model training NLP NumPy Pandas Python PyTorch Reinforcement Learning SageMaker Scikit-learn SQL TensorFlow Trading Strategies TypeScript Unstructured data
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