Sr GenAI / Machine Learning Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities :

Design and implement Machine Learning models and algorithms to address business challenges, with a focus on Generative AI applications.

Collaborate with data scientists and domain experts to understand requirements, gather data, and develop solutions that meet business objectives.

Develop and maintain scalable and efficient codebase for training, testing, and deploying Machine Learning models in production environments.

Conduct research and experiment with new techniques and algorithms to improve model performance and accuracy.

Work closely with software engineers and DevOps teams to integrate Machine Learning models into existing systems and infrastructure.

Collaborate with stakeholders to understand feedback and iterate on Machine Learning models to continuously improve performance and user experience.

Mentor junior team members and provide technical guidance and support on Machine Learning best practices and methodologies.

Stay up-to-date with the latest advancements in Machine Learning and AI technologies, and proactively identify opportunities for applying them to solve business problems.

Qualifications :

US Citizenship required for this role.

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

10+ years of hands-on experience in developing and deploying Machine Learning models and algorithms, with a focus on Generative AI.

Proficiency in programming languages such as Python, with experience in Machine Learning libraries such as OpenAI, TensorFlow, PyTorch, or Keras.

Strong understanding of Machine Learning concepts and algorithms, including deep learning frameworks, reinforcement learning, and natural language processing.

Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying Machine Learning models at scale.

Solid understanding of software engineering principles and best practices, including version control, testing, and deployment pipelines.

Excellent problem-solving skills and ability to think creatively to develop innovative solutions to complex problems.

Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Proven track record of delivering high-quality Machine Learning solutions on time and within budget in a fast-paced and dynamic environment.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Tuition reimbursement
• Vision insurance
• Work from home

Experience level:

• 10 years

Shift:

• 8 hour shift

Weekly day range:

• Monday to Friday

Work setting:

• Remote

Application Question(s):

• What is your desired salary for your next role?

Work Location: Remote