AI/ML Engineer at Weekday AI

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AI/ML Engineer at Weekday AI. This role is for one of Weekday’s clients. Salary range: Rs 1000000 - Rs 3000000 (ie INR 10-30 LPA). Min Experience: 2 years. JobType: full-time. We are looking for a passionate and skilled . AI/ML Engineer. with at least . 2+ years of professional experience. in developing and deploying machine learning models. In this role, you will work closely with our product, engineering, and data science teams to design, implement, and optimize AI/ML solutions that drive real-world business impact. The ideal candidate has hands-on experience with machine learning frameworks, data preprocessing, and model deployment, combined with strong problem-solving and coding skills.. This is an exciting opportunity for a professional who is eager to leverage . AI, deep learning, and data-driven insights. to solve complex challenges and contribute to the development of cutting-edge products and platforms.. Key Responsibilities. Model Development & Deployment. . Design, build, and deploy . machine learning models. for classification, regression, clustering, recommendation, NLP, and computer vision tasks. . . Perform . data preprocessing, feature engineering, and data cleaning. to ensure high-quality datasets. . . Implement . deep learning models. using frameworks such as TensorFlow, PyTorch, or Keras. . . Optimize models for accuracy, performance, and scalability in production environments. . . Research & Innovation. . Stay updated with the latest trends in . AI/ML, deep learning, and data science. . . . Experiment with new algorithms, architectures, and techniques to improve existing solutions. . . Conduct . proof of concepts (POCs). for emerging AI use cases relevant to business needs. . . Collaboration & Integration. . Work closely with data engineers to design scalable . data pipelines. for training and inference. . . Collaborate with software engineers to integrate ML models into production systems and applications. . . Partner with product teams to understand business requirements and translate them into AI/ML solutions. . . Testing & Monitoring. . Conduct . A/B testing and validation. to evaluate model performance. . . Implement . model monitoring systems. to track accuracy, drift, and overall effectiveness post-deployment. . . Ensure compliance with data governance, security, and ethical AI standards. . . Required Skills & Qualifications. . . Experience:. Minimum 2+ years in AI/ML engineering or applied machine learning roles. . . Strong proficiency in . Python. and ML libraries (scikit-learn, TensorFlow, PyTorch, Keras). . . Experience with . data processing tools. (Pandas, NumPy, Spark). . . Good understanding of . machine learning algorithms. , deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling. . . Experience in . NLP or Computer Vision. projects is a strong plus. . . Familiarity with . cloud platforms. (AWS, GCP, Azure) and ML services. . . Knowledge of . containerization (Docker, Kubernetes). and deployment practices. . . Experience with . REST APIs. for model serving and integration. . . Familiarity with version control systems (Git) and CI/CD pipelines. . . Strong analytical thinking, problem-solving skills, and ability to work in fast-paced environments. . . Company Location: India.