AI Data Science Engineer

Role: AI Data Science Engineer

Location : Dallas, TX Hybrid - in office presence required

Overview: We are looking for an experienced Data Science Engineer to contribute to the design, development, and implementation of AI-driven solutions at Blue Yonder. The focus of this role is on LLM fine-tuning including the customizing and optimizing of large language models to meet the specific needs of our end users including both paying customers and internal customers. 

As a key player in the Blue Yonder AI Innovation Studio, you will work on cutting-edge projects that push the boundaries of Generative AI and machine learning in the supply chain and retail domains. The ideal candidate will have a strong technical background in data science, machine learning, and software engineering, with a passion for innovation and problem-solving. 

What you will do:  

• Model Customization and Optimization: Fine-tune large language models based on requirements and datasets, ensuring the highest level of accuracy and relevance. 

• Data Management and Analysis: Collect, process, and analyze vast amounts of data to improve model performance. Implement data cleansing, and preprocessing techniques to ensure data quality. 

• Solution Development: Collaborate with cross-functional teams to design, develop, and deploy customized AI solutions that integrate seamlessly with customer systems. 

• Performance Monitoring: Continuously monitor model performance, making adjustments as necessary to maintain and improve output quality. 

• Research and Innovation: Stay abreast of the latest developments in AI, LLMs, and machine learning techniques. Propose and implement innovative approaches to enhance our AI solutions. 

• Stakeholder Collaboration: Work closely with product managers, engineers, and customer engagement teams to understand client needs and deliver solutions that meet or exceed expectations. 

• Documentation and Reporting: Maintain comprehensive documentation of models, algorithms, and data analysis processes. Prepare reports on model performance, insights, and recommendations for internal and external stakeholders. 

What we are looking for:  

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. 

• 5+ years experience in data science, machine learning, or a related field, with a strong focus on large language models. 

• Expertise in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, etc. 

• Strong background in data preprocessing, model training, and fine-tuning techniques specific to LLMs. 

• Experience with cloud computing platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes) is a plus. 

• Excellent problem-solving, analytical, and communication skills. 

• Ability to work independently as well as part of a collaborative team. 

• Passion for AI innovation and commitment to staying informed about the latest industry trends and technologies. 

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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 

• Wellbeing Days 

• 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

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