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Machine Learning Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA). Min Experience: 3 years. Location: India. JobType: full-time. As a Machine Learning Engineer, you will work closely with data scientists, software engineers, and business stakeholders to build intelligent systems that can drive insights, automate processes, and deliver measurable value. You should be comfortable working across the entire machine learning lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and monitoring.. Key Responsibilities. . . Model Development & Deployment:. . . . Design, develop, train, and optimize machine learning models using Python and modern ML frameworks. . . Deploy models into production environments and ensure scalability, reliability, and performance. . . . . . Data Handling & Preprocessing:. . . . Work with structured and unstructured data to clean, preprocess, and extract meaningful features. . . Collaborate with data engineering teams to establish efficient data pipelines. . . . . . AI-driven Solutions:. . . . Contribute to building AI-powered applications that enhance decision-making, automate workflows, and create innovative user experiences. . . Research and experiment with cutting-edge techniques in AI and machine learning to improve current solutions. . . . . . Collaboration & Problem-Solving:. . . . Partner with cross-functional teams to identify use cases for machine learning and AI solutions. . . Translate business requirements into well-structured technical solutions. . . . . . Model Monitoring & Improvement:. . . . Implement model monitoring, versioning, and retraining strategies. . . Continuously enhance model accuracy, robustness, and interpretability. . . . Required Skills & Qualifications. . . Technical Skills:. . . . Strong proficiency in . Python. for machine learning and AI applications. . . Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. . . Solid understanding of supervised, unsupervised, and deep learning techniques. . . Experience in building and deploying machine learning models in production environments. . . . . . AI & ML Expertise:. . . . Strong foundation in algorithms, probability, statistics, and optimization techniques. . . Familiarity with natural language processing (NLP), computer vision, or recommendation systems is a plus. . . Knowledge of AI-driven product development and practical implementation strategies. . . . . . Other Skills:. . . . Strong problem-solving ability and analytical mindset. . . Experience working with large datasets and distributed computing platforms (Spark, Hadoop, or cloud services like AWS/GCP/Azure). . . Effective communication skills to explain complex technical concepts to non-technical stakeholders. . . . Preferred Qualifications. . Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. . . Experience working in a fast-paced product or startup environment. . . Exposure to MLOps practices and tools for continuous integration and deployment of ML models.. . Company Location: India.