ML Engineer

This role is for one of the Weekday's clients

We are looking for a Machine Learning Engineer to design, develop, and deploy ML models and pipelines that drive impactful business solutions. In this role, you will collaborate with cross-functional teams to build intelligent systems that enhance decision-making and automation.

Requirements

Key Responsibilities:

• Develop, train, and deploy machine learning models to solve real-world challenges.
• Optimize models for performance, scalability, and accuracy.
• Build and maintain ML pipelines for data preprocessing, training, and inference.
• Work closely with data scientists, engineers, and product teams to identify AI-driven solutions.
• Continuously monitor, fine-tune, and improve deployed models.
• Stay up to date with the latest advancements in AI/ML technologies.

Required Skills & Experience:

• Strong programming skills in Python, with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with data preprocessing, feature engineering, and model optimization.
• Proficiency in building and deploying ML models on cloud platforms like AWS, GCP, or Azure.
• Solid understanding of algorithms, statistics, and data structures.
• Experience with MLOps tools for model versioning, deployment, and monitoring.
• Strong problem-solving skills and keen attention to detail.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Experience working with big data technologies like Spark or Hadoop.
• Knowledge of NLP, computer vision, or reinforcement learning.