Senior Machine Learning Engineer

1 day ago

Ajmer, Rajasthan, India beBeePredictive Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Machine Learning Engineer Role

We are seeking a skilled AI/ML professional to lead the design, deployment, and optimization of machine learning solutions for diverse business challenges.

  • This role involves applying expertise in time series forecasting and predictive analytics to drive client success.
  • You will work in an innovation-led environment committed to digital transformation and delivering impactful results.
Key Responsibilities
  1. Develop, implement, and maintain robust machine learning models, with emphasis on maximizing efficiency and performance.
  2. Build and optimize scalable data pipelines using Apache Kafka and AWS services to streamline data processing.
  3. Design, develop, and integrate Flask APIs to serve ML models into production-ready applications, ensuring seamless integration and minimal latency.
  4. Collaborate with cross-functional teams and stakeholders to translate business requirements into actionable AI-powered solutions.
  5. Evaluate models, perform hyperparameter tuning, and apply optimization strategies to achieve maximum value from ML investments.
  6. Deploy, monitor, and maintain ML models in production, addressing data and performance issues proactively to ensure continuous improvement.
  7. Document methodologies, experiments, and development processes to promote knowledge sharing and consistency across teams.
Requirements
  • Expertise in time series analysis, including advanced forecasting techniques and complex temporal dataset handling.
  • Strong experience with predictive modeling to analyze trends and inform data-driven decision-making.
  • Hands-on expertise in deploying and managing ML models on AWS infrastructure and tools to maximize scalability and reliability.
  • Practical knowledge of Apache Kafka for real-time data streaming and scalable data pipeline development.
  • Strong programming skills in Python for model development, testing, and deployment, with emphasis on code quality and maintainability.
  • Experience with Flask API for building and deploying ML model endpoints and RESTful services, ensuring seamless integration with existing systems.
  • Knowledge of model optimization techniques to improve predictive performance and efficiency, with focus on minimizing bias and variance.
  • Strong debugging, troubleshooting, and production maintenance capabilities for AI/ML systems, with emphasis on identifying root causes and implementing corrective actions.

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