Sr. Machine Learning Engineer

DUTIES: Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging AI models (e.g., Large Language Models, Diffusion Models, Forecasting Models etc.). Identify and explore novel applications of AI within our products and services. Conduct research and experimentation with new and emerging AI tech and staying up to date. Build and operate innovative forecasting solutions . Continuously learn and adapt to the rapidly evolving field of Generative AI. Conduct thorough research and experimentation with the latest advancements in Generative AI, including model architectures, training techniques, and evaluation methods. Write clean, well-documented, and testable code, adhering to best practices and engineering principles. Actively participate in code reviews and provide constructive feedback to fellow engineers. Mentor junior engineers and foster a culture of learning and growth within the team. Collaborate effectively with cross-functional teams, including

researchers, product managers, and designers. Contribute to the definition of technical roadmaps and architectural decisions. Identify and mitigate technical risks and propose solutions to complex engineering challenges. Lead and mentor junior engineers, fostering a culture of learning and growth within the team. Actively participate in knowledge sharing and contribute to the broader AI community.

REQUIREMENTS: Bachelor’s or foreign equivalent degree in Computer Science, Electronic Engineering, Information Technology and Communications Engineering, or a related field, and 5 years of progressive, post-baccalaureate experience in the job offered or as a Software Engineer, AI Engineer, Data Scientist, Machine Learning Engineer, or a related/similar position. Experience therein to include the following:

• 5 years in designing and deploying enterprise-level machine learning systems;
• 5 years in Python;
• 3 years with deep learning frameworks such as TensorFlow, PyTorch, or JAX;
• 3 years in applying machine learning algorithms in areas such as Natural Language Processing (NLP) or Forecasting;
• 2 years in building and deploying machine learning models using web frameworks like FastAPI or Django; and
• 1 year in leveraging Generative AI, including Large Language Models (LLMs), for various automation and agentic use cases.

Hybrid role, ability to work from home

Pulled from the full job description

• Pet insurance
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Work from home, The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes:

• Comprehensive Medical, Dental and Vision
• 401K with Matching
• Flexible Time Off
• Corporate Fitness Program
• A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values