Machine Learning Engineer

Machine Learning Engineer Job Description : We are seeking a highly skilled Machine Learning Engineer to join our dynamic team You will be responsible for designing, developing, and deploying machine learning models and AI solutions that address complex challenges. The ideal candidate is proficient in Python, PyTorch, and statistical modeling and has a strong passion for leveraging AI to create impactful tools. Key Responsibilities : - Design, develop, and optimize machine learning models and algorithms. - Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow. - Analyze large, complex datasets to extract insights and identify patterns. - Develop scalable machine learning pipelines for training, validation, and deployment. - Collaborate with cross-functional teams to integrate ML models into production systems. - Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies. - Document processes and model performance to ensure reproducibility and compliance. - Implement and optimize ML algorithms for efficiency, scalability, and AI-powered insights. - Conduct experiments, A/B testing, and model evaluations to improve performance. - Develop, containerize, and deploy AI/ML systems in production environments using best practices. - Automate and streamline ML pipelines, ensuring smooth transitions from development to production. - Monitor and troubleshoot the performance, accuracy, and drift of ML models in production. - Execute and automate model validation tests, ensuring robustness and reliability. - Optimize training and inference workflows, enhancing model efficiency and speed. - Manage model versioning, deployment strategies, and rollback mechanisms. - Implement and maintain CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows. - Review code changes, pull requests, and pipeline configurations to uphold quality standards. - Stay updated with emerging AI/ML technologies, MLOps best practices, and cloud-based ML platforms. Qualifications : - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 3 years of experience in machine learning, deep learning, or AI tool development . - Proficiency in Python and experience with frameworks such as PyTorch and TensorFlow. - Solid understanding of statistical modeling, probability, and optimization techniques. - Experience with data preprocessing, feature engineering, and handling large datasets. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork abilities. - Ability to work in a fast-paced, dynamic environment and manage multiple priorities. - Experience deploying and maintaining ML models using Docker, Kubernetes, and cloud-based AI -services (AWS Sagemaker, GCP Vertex AI, Azure ML). - Solid understanding of MLOps principles, including CI/CD for ML models, model monitoring, and automated retraining. - Knowledge of data engineering principles, data preprocessing, and feature engineering for ML pipelines. - Familiarity with workflow orchestration tools. - Experience with real-time model serving and API deployment. - Strong analytical and problem-solving skills with a keen attention to detail. - Ability to collaborate cross-functionally and work in a fast-paced AI-driven (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 4/19/2025