AI/ML Engineer

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

AI/ML Engineer

Key Skills

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