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3 weeks ago

Bangalore Karnataka, India Weekday AI Full time

This role is for one of Weekday s clients Min Experience 3 years Location Karnataka JobType full-time Requirements We are seeking a skilled and innovative Machine Learning ML Engineer with a minimum of 3 years of experience in designing building and deploying ML models and solutions The ideal candidate will have strong expertise in machine learning algorithms data preprocessing model training and production deployment You will collaborate closely with data scientists data engineers and software developers to deliver high-performing scalable ML solutions that drive business impact Key Responsibilities Model Development Deployment Design develop and implement machine learning models tailored to business requirements Work on end-to-end ML lifecycle including data preprocessing feature engineering model selection training validation and deployment Optimize models for performance accuracy and scalability in production environments Data Engineering Processing Collaborate with data engineers to ensure robust data pipelines for structured and unstructured data Perform data wrangling cleaning and feature extraction to prepare high-quality datasets Implement ETL workflows to ensure data is readily available for ML tasks Collaboration Stakeholder Management Partner with product managers business analysts and domain experts to translate business problems into ML solutions Collaborate with cross-functional teams to integrate ML models into existing applications platforms or workflows Provide technical guidance to junior engineers and contribute to knowledge-sharing within the team Research Innovation Stay updated on the latest research tools and frameworks in machine learning deep learning and AI Experiment with cutting-edge techniques such as NLP computer vision or reinforcement learning when relevant to business needs Continuously improve ML infrastructure monitoring and automation to increase efficiency Testing Monitoring Maintenance Implement rigorous testing methodologies including A B testing model validation and bias detection Monitor model performance post-deployment to ensure stability and reliability over time Troubleshoot and retrain models as required to maintain accuracy in dynamic environments Required Skills Qualifications Bachelor s or Master s degree in Computer Science Data Science AI or a related field Minimum 3 years of professional experience in machine learning engineering or applied ML Strong proficiency in Python and popular ML DL frameworks such as TensorFlow PyTorch or Scikit-learn Solid understanding of machine learning algorithms statistical modeling and predictive analytics Hands-on experience with data preprocessing feature engineering and pipeline building Familiarity with SQL NoSQL databases and data handling in large-scale systems Experience with cloud platforms AWS GCP Azure and ML services for deployment Strong problem-solving skills with the ability to work independently and in collaborative team environments Preferred Skills Good to Have Exposure to Natural Language Processing NLP Computer Vision or Reinforcement Learning Experience in MLOps practices including CI CD pipelines model versioning and monitoring tools Familiarity with big data technologies like Spark Hadoop or Kafka Knowledge of Docker Kubernetes or other containerization orchestration tools

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