This role is for Weekday's client.

Please note - We offer fixed term contracts with engagements ranging from 3 months to 12 months, with possible extensions depending on client needs.

About the Role

As an AI/ML Engineer, you’ll work on multiple short-term, full-time engagements with various startups, helping them implement AI and ML solutions tailored to their unique challenges. 

This is not a permanent contract but an exciting opportunity to work on a project-by-project basis, enabling you to explore new industries, tackle diverse challenges, and create real-world impact.

You’ll design, develop, and optimize AI/ML models, deploy them into production, and collaborate with cross-functional teams to deliver scalable and effective solutions.

Requirements

What You'll Do

• Develop, train, and optimize machine learning models using tools like TensorFlow, PyTorch, and scikit-learn.
• Design and deploy scalable AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
• Preprocess and analyze large datasets to extract valuable insights and prepare data for model training.
• Implement and maintain pipelines for continuous model training, testing, and deployment.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI/ML solutions into products.
• Monitor the performance of AI/ML systems in production and optimize them for scalability and efficiency.
• Stay updated with the latest advancements in AI and ML, applying cutting-edge techniques to real-world problems.

What You Bring

• Strong proficiency in Python or R and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with cloud platforms (AWS, Azure, GCP) and deploying models using tools like Docker and Kubernetes.
• Proficiency in data preprocessing, feature engineering, and working with large datasets.
• Knowledge of MLOps practices and tools for model monitoring and versioning.
• Familiarity with NLP, computer vision, or time-series analysis is a plus.
• Strong problem-solving skills, attention to detail, and the ability to work in dynamic, agile environments.
• Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

Benefits

• Diverse Projects: Collaborate with startups across industries, gaining exposure to a variety of AI/ML use cases.
• Flexibility: Engage in full-time, short-term projects that offer autonomy and variety.
• Competitive Pay: Earn based on your expertise and the impact you deliver to each engagement.
• Continuous Learning: Work with cutting-edge technologies and stay ahead in the evolving AI/ML landscape.
• Innovative Environment: Partner with dynamic startups and help them achieve their goals through AI-driven solutions.