AI Associate-ML

Location:

ABOUT NEWCOLD

NewCold is a service provider in cold chain logistics with a focus on development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. NewCold is one of the fastest growing companies (over 2,000 employees) in the cold chain logistics and they are expanding teams to support this growth. They use the latest technology that empowers people, to handle food responsibly and guarantee food safety in a sustainable way. They challenge the industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions. NewCold has leading market in-house expertise in designing, engineering, developing and operating state-of-the-art automated cold stores: a result of successful development and operation of over 15 automated warehouses across three continents. With the prospect of many new construction projects around the world in the very near future, this vacancy offers an interesting opportunity to join an internationally growing and ambitious organization.

Position: AI Associate Machine Learning

Join our growing AI team as an AI Associate (ML) and build real-world machine learning solutions that directly impact business performance. This is an exciting opportunity to work with experienced professionals, apply your skills to live data problems, and grow your career in a fast-paced, collaborative environment.

Your Role:

Youll help design, train, and deploy ML models that power applications in supply chain, logistics, finance, and operations. From predicting delivery times to detecting anomalies in large datasets, your work will drive smarter decision-making.

What Youll Do:

Build ML models for forecasting, classification, clustering, and anomaly detection using real business data.

Work on the full ML lifecycle: data prep, feature engineering, model selection, evaluation, and deployment.

Collaborate with cross-functional teams (engineering, data, operations) to understand business needs and build ML-driven solutions.

Deploy and monitor models in production environments using APIs and MLOps tools.

Document experiments and contribute to reusable ML components and workflows.

What Were Looking For:

B.Tech / M.Tech in Computer Science, Engineering, or related fields.

1 -2 years of experience applying machine learning in real-world scenarios.

Strong programming skills in Python and familiarity with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch, etc.).

Hands-on experience working with structured and semi-structured data.

Familiarity with cloud platforms (Azure preferred) and tools for ML deployment.

Bonus: Experience with time series, anomaly detection, or working in supply chain/logistics.

Why Join Us

Be part of a growing AI team solving real industry challenges.

Work on high-impact projects with supportive mentors and strong learning culture.

Gain experience in production ML pipelines and cloud deployment at scale.

Access opportunities to grow in computer vision, LLMs, or advanced MLOps.