The Opportunity at Altana

The Engineering team is looking for talented Machine Learning Engineers to help build out our vision. In this role, you’ll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows. 

You Will 

• Develop, deploy and continuously improve machine learning models powering Altana’s classification, risk screening, network analysis, and entity resolution capabilities.

• Build and maintain supportable, scalable and evolvable machine learning pipelines

• Work in a cross-functional team with software engineers, data scientists and product managers to generate new business ideas and enhance our product offerings.

• Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment

• Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends

You Have

• BS degree in Computer Science, Data Science, or equivalent experience

• Passionate about applying SOTA ML techniques to solve real world applied problems and willingness to get your hands dirty in the data and domain to achieve measurable outcomes

• 10 years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions 

• Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas)

• Proven track record of ownership and delivery of projects with major organizational impact

• You care deeply about engineering excellence, supportability and knowledge-sharing 

• You have strong written and verbal communication skills

• You are curious, always learning, and keep a close eye on latest developments in the fields of Machine Learning and Artificial Intelligence

Nice to have, but not required

• Prior experience building and tuning large language models (Bert, LLaMA, or similar)

• Familiarity with prompt engineering and chain-of-thought prompting for LLMs 

• Experience in multi-modal ML on text and images, and text and structured features

• Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

• Languages: Python, Spark

• Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure

• Datastores: Databricks, Elasticsearch, Postgres, ArangoDB

• ML Tools: Tensorflow, PyTorch, Keras, FAISS

This role is remote or hybrid, based in the United States, UK, with the option to work from one of our hubs in New York City, Boston, Washington D.C., or London.