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Job Description
Key Responsibilities:
- Design, develop, and deploy advanced machine learning models and algorithms for production.
- Build and maintain robust data pipelines using Python and Node.js.
- Utilize frameworks such as TensorFlow, PyTorch, or scikit-learn for model development, training, and evaluation.
- Integrate model outputs and data services with Node.js-based application backends.
- Deploy AI solutions on cloud platforms (GCP, AWS) and collaborate on MLOps strategies.
- Document model architectures, maintain high-quality code, monitor system performance, and troubleshoot production issues.
- Collaborate with product, engineering, and business stakeholders to translate requirements into implementable solutions.
Preferred Database Experience:
- Supabase (managed Postgres solution for scalable apps)
- PostgreSQL (relational database management)
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Qualifications
- Minimum 5 years practical experience in AI/ML development and deployment.
- Strong proficiency in Python and familiarity with Node.js for API/data integration.
- Hands-on experience with key ML frameworks and libraries.
- Demonstrated experience deploying models to cloud platforms and optimizing for scalability and efficiency.
- Collaboration and documentation skills; experience in deep learning, NLP, LLMs, or model fine-tuning preferred.
Skills
PythonData IntegrationDeep LearningMachine LearningAi/mlAiMlAi/ml EngineerMl EngineerIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
18 Dec 25, 05:30 PM IST
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