AI DATA SCIENTIST/MACHINE LEARNING ENGINEER - SOFTWARE ENGINEER

ZipRecruiter; Oakton (VA); Remote; USD 100,000 - 150,000; Full time

Job summary

A leading company is seeking an experienced AI Data Scientist/Machine Learning Engineer to drive digital transformation solutions for a Fortune 100 client. The role requires expertise in AI and ML, with responsibilities including model development, collaboration with teams, and ensuring project success. This full-time remote position may involve some travel and requires a Public Trust Clearance.

Qualifications

• Experience developing and integrating with Open AI API.
• 2-3 years of AI, GenAI, and ML experience.
• Strong hands-on experience can substitute for a degree.

Responsibilities

• Lead design and optimization of AI/ML algorithms.
• Develop AI models and convert them into APIs.
• Collaborate with cross-functional teams for project delivery.

Skills

Analytical Skills

Problem-Solving

Communication

Leadership

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

Python

TensorFlow

PyTorch

Job description

Job Description

Description

We are seeking an experienced Artificial Intelligence (AI) Data Scientist/Machine Learning (ML) Engineer with Generative AI (GenAI) experience. You will play a key role in driving the design and implementation of digital-transformation solutions for a Fortune 100 client. Your deep knowledge and hands-on experience with AI, model building, and ML will enable you to create scalable, robust, and efficient solutions that align with our client's business objectives. You will collaborate closely with cross-functional teams, including sales teams, business operations teams, business analysts, developers, and project managers, to ensure successful project delivery.

This remote position is a full-time, salaried position. There may be some initial travel related to initial engagement on the creation of our model(s) and usage. It is a requirement that the selected candidate must have or be able to obtain and maintain a Public Trust Clearance.

SEIS participates in the E-Verify program to validate authorization to work in the United States.

Role and Responsibilities

1. Lead the design, development, and optimization of AIML algorithms for both existing and new systems.
2. Design and develop AI models to meet project requirements.
3. Convert AI/ML models into APIs that other developers can use.
4. Perform statistical analysis on big data sets.
5. Manage project infrastructure and the development of AI models and projects.
6. Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models.
7. Collect and analyze data sets to identify patterns and develop predictive algorithmic models.
8. Implement chatbots and virtual agents.
9. Automate workflows and business processes.
10. Collaborate with stakeholders to gather requirements and provide technical solutions.
11. Stay updated with the latest features and updates in AI, Data Science, GenAI, and ML.
12. Provide technical consultancy to various teams, ensuring alignment with the latest advancements in AIML and GenAI.
13. Conduct workshops, presentations, and demonstrations to showcase the capabilities and benefits of AI and ML.
14. Assist in collecting and identifying functional requirements.
15. Be adept at leveraging new approaches to solutions for system design and functionality.
16. Address and remediate security vulnerability findings in OpenAI/ChatGPT.
17. Data Integration: Integrate solutions with various data sources, such as SharePoint, MS SQL Server databases, Oracle Databases, cloud services, and third-party applications.
18. Troubleshoot and Debug: Identify and resolve technical issues within AI/ML solutions, ensuring smooth functionality and performance.
19. Collaborate with product management and engineering to define and implement innovative solutions for the product direction, visuals, and experience.
20. Present and defend designs and key milestone deliverables to peers and executive level stakeholders.
21. Conduct user research and evaluate user feedback.

Qualifications and Education Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Development, Information Technology, Business Analytics or related technical field.
• Strong hands-on, demonstrable experience can be used in lieu of a degree.
• Mandatory experience developing and integrating with Open AI API.
• Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
• In-depth knowledge of Generative AI (GenAI), deep learning, machine learning algorithms and their applications.
• Expertise in AI/ML tools and technologies such as Python, TensorFlow, PyTorch, and other relevant platforms.
• Excellent communication and interpersonal skills with the ability to work effectively with stakeholders at all levels.
• Exceptional problem-solving skills.
• Solid understanding of relational database technologies.
• Solid knowledge of integration technologies, APIs, and protocols.

Skills

• Telecommunications Industry Experience.
• Strong analytical and problem-solving skills.
• 2 – 3 years of AI experience.
• 2 – 3 years of GenAI experience.
• 2 – 3 years of ML experience.
• Strong customer obsession mindset.
• Excellent communication and interpersonal skills to effectively collaborate and coordinate with diverse teams and stakeholders.
• Exceptional organization and time management skills to prioritize tasks, meet deadlines, and manage multiple projects simultaneously.
• Attention to detail and a commitment to accuracy in all work products.
• Ability to work well under pressure and adapt to changing priorities and requirements.
• Strong leadership skills with the ability to influence and motivate teams to achieve project goals.
• Proven AI, GenAI, ML Experience.

Sasaki Evolutionary Integration Services (SEIS) is an SBA 8(a), Service-Disabled Veteran-Owned Small Business (SDVOSB). We have been serving Government, Department of Defense, and Commercial customers since 2009. Our primary focus is Business Process Re-engineering, Decision Modeling and Reporting, Program Management, and Solution Designing.

Our mission is to help our customers and partners succeed by fostering strong relationships and demonstrating unwavering commitment. By continuously building upon our knowledge and experiences, we will provide top quality, value-added products and services for Project Management, Business Proposal Support, Systems Integration, Data Analysis, Quality Management, and Information Technology Infrastructure in a diverse environment.