AI/ML Engineer

2 weeks ago

Indore, India Weekday AI Full time

This role is for one of the Weekday's clients Min Experience: 3 years Location: India JobType: full-time As an AI/ML Engineer, you will work across the entire lifecycle of model development—from data preparation and feature engineering to experimentation, evaluation, and deployment. You will collaborate with cross-functional teams, including product, engineering, and analytics, to understand business challenges and design AI-driven approaches that address them. The role requires strong analytical thinking, a solid mathematical foundation, and the ability to write clean, production-ready ML code. You will play a key part in building pipelines, experimenting with new algorithms, and ensuring models are optimized for performance, accuracy, and efficient scaling. This is a hands-on position where your work will directly contribute to the intelligence layer of various products and solutions. Requirements Key Responsibilities - Design, develop, and deploy Machine Learning and Artificial Intelligence models that solve real-world use cases. - Work with large datasets, perform data cleaning, preprocessing, feature extraction, and exploratory analysis to prepare data for model training. - Experiment with classical ML algorithms, deep learning architectures, and modern AI techniques to identify the best-performing approaches. - Build scalable model training pipelines and automate workflows for faster experimentation and deployment. - Evaluate models using statistical metrics, tuning strategies, and robust validation methodologies to ensure high accuracy and generalization. - Collaborate closely with product managers and engineering teams to understand requirements and translate them into ML-driven solutions. - Integrate ML models into production environments using APIs, microservices, or cloud-based deployment frameworks. - Monitor model performance post-deployment and implement improvements through retraining, optimization, and continuous feedback loops. - Research emerging AI/ML technologies, frameworks, and tools to keep the product ecosystem aligned with industry advancements. - Document development processes, experiments, and model behavior for internal knowledge sharing and reproducibility. - Ensure data privacy, model fairness, and ethical AI standards are applied throughout development. What Makes You a Great Fit - You bring 3+ years of experience in developing and deploying ML/AI models in a production or applied research environment. - You have strong proficiency in ML fundamentals, mathematical concepts, probability, statistics, and algorithmic thinking. - You are skilled in Python, along with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or related tools. - You excel at handling datasets, writing robust data pipelines, and optimizing model performance. - You have experience implementing end-to-end AI solutions—from idea to deployment. - You communicate your ideas clearly and work well with technical and non-technical stakeholders. - You approach problems with curiosity, creativity, and a drive to experiment with new methodologies. - You are self-motivated, organized, and capable of owning tasks independently while contributing effectively to team efforts. - You thrive in a fast-paced environment and are passionate about building intelligent systems that create measurable impact.

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