AI/ML Engineer

This role is for one of the Weekday's clients

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