AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
About the role
- AI/ML Engineer deploying state-of-the-art AI models to solve real-world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Responsibilities
- Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
- Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
- Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
- Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
- Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
Requirements
- Have 0-2 years of industry experience in applied machine learning or related AI work.
- Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
- Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
- Possess a strong foundation in data structures, algorithms, and software engineering principles.
- Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Can work collaboratively with cross-functional teams.
- Thrive in fast-paced environments where priorities or deadlines may compete.
- Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
Benefits
- Competitive salary
- Medical, Dental, and Vision (100% Coverage)
- Paid Maternity and Paternity Leave
- 401(k)
- Daily Lunches
- Commuter Benefits
- Unlimited PTO
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Software Engineer I developing machine learning models and applications at Smart Data Solutions. Collaborating to improve infrastructure and automate processes using AI technology.
Intermediate Machine Learning Engineer at Aviva Canada implementing ML pipelines with required collaboration in AI/ML Operations. Join a team dedicated to operationalizing ML models for optimizing solutions.
MLOps Engineer designing and maintaining cloud infrastructure for large - scale computer vision model training. Collaborating with Data Scientists and AI Engineers to streamline model development lifecycle.
Machine Learning Engineer developing AI - first dating solutions at Hinge, enhancing user matchmaking and conversation experience. Collaborating with cross - functional teams to move ML models to production.
Senior ML Engineer designing and developing machine learning models for national security. Collaborating with cross - functional teams to deliver scalable solutions in defense applications.
Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.
Intern for Servo Engineering at Seagate, integrating AI/ML into precision servo design. Collaborating on research and optimization of control algorithms for hard disk systems.