The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.
Title: AI/Machine Learning Specialist
Clearance: Active TS Required, Q Clearance preferred
Education: Bachelor’s degree preferred
Years Experience: all levels available
Location: fully remote
Compensation: DOE ($90-$140/yr.)
Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions.
Responsibilities:
Note
This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.
Who we are...
August Schell offers 30 years of experience in providing our customers innovative solutions and engineering services to their most challenging needs. We thrive on navigating complex IT difficulties and are driven to find the best solutions for our customers. Our team delivers expert knowledge in cyber security, big data, endpoint security and cloud solutions. Our ability to serve our customers with continued excellence is a direct reflection of our dedicated and exceptional people. At August Schell, we are not only a team, we are a family.
Equal Employment Opportunity
August Schell Enterprises Inc. is an Equal Employment Opportunity Employer. We are committed to providing a workplace that is free from discrimination and harassment based on race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age, marital status, disability, protected veteran status or any other characteristic protected by applicable law.
Accommodations
If you are an individual with a disability and would like to request a reasonable accommodation during the application or hiring process, please contact Human Resources at [email protected]
Apply Now
Clearance: Active TS Required, Q Clearance preferred
Education: Bachelor’s degree preferred
Years Experience: all levels available
Location: fully remote
Compensation: DOE ($90-$140/yr.)
Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions.
Responsibilities:
- Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project’s execution to deliver high-quality results on time.
- Problem-Solving and Decision-Making: The ML Specialist is expected to leverage their technical expertise to solve complex problems. They must be capable of making critical decisions related to algorithm choice, data usage, and model implementation, which directly impact the project’s outcome.
- Collaboration with Cross-Functional Teams: As part of their role, ML Specialists work closely with other departments such as data engineering, software development, and business intelligence. This collaboration ensures that ML projects align with broader company objectives and technological capabilities.
- Leadership and Mentorship: In some cases, the ML Specialist may be required to lead a team of junior data scientists or analysts. This responsibility includes mentoring team members, overseeing their work, and contributing to their professional development.
- Process Improvement and Innovation: A fundamental part of this role is to continuously seek ways to improve existing ML processes and algorithms. The ML Specialist is also expected to stay updated on industry trends and apply innovative techniques to maintain our competitive edge.
- Technical or Customer-Facing Responsibilities: Lastly, an ML Specialist may be tasked with technical report writing, presenting findings to non-technical stakeholders, or even interacting with clients to understand their needs and deliver tailored ML solutions.
Note
This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.
Who we are...
August Schell offers 30 years of experience in providing our customers innovative solutions and engineering services to their most challenging needs. We thrive on navigating complex IT difficulties and are driven to find the best solutions for our customers. Our team delivers expert knowledge in cyber security, big data, endpoint security and cloud solutions. Our ability to serve our customers with continued excellence is a direct reflection of our dedicated and exceptional people. At August Schell, we are not only a team, we are a family.
Equal Employment Opportunity
August Schell Enterprises Inc. is an Equal Employment Opportunity Employer. We are committed to providing a workplace that is free from discrimination and harassment based on race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age, marital status, disability, protected veteran status or any other characteristic protected by applicable law.
Accommodations
If you are an individual with a disability and would like to request a reasonable accommodation during the application or hiring process, please contact Human Resources at [email protected]
Apply Now
Similar Jobs
Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing
The role involves managing customer relationships, driving account retention, resolving issues, onboarding new customers, and sharing feedback internally.
Top Skills:
Salesforce
Healthtech • Social Impact • Telehealth
Provide high-touch operational support to the founders: manage calendars, travel, onboarding, HR workflows, NYC office operations, event coordination, meeting materials, triage communications, and ad hoc projects to keep the company running smoothly.
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.
Top Skills:
Ai/MlCloudCRMGpu
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


.png)
