Senior Software Engineer - Artificial Intelligence (AI) & ML

Description & Requirements

The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects.

Position is fully remote. Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings.

The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment. This process may take approximately 3-4 months.

Essential Duties and Responsibilities :

• Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. Lead the use of applied mathematical analyses to provide solutions.
• Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
• Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
• Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production / operational environments.
• Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.

Job-Specific Essential Duties and Responsibilities :

improve system performance and development efficiency.

Minimum Requirements

Job-Specific Minimum Requirements :

Program Requirement :

Preferred Skills and Qualifications :

Preferred certifications include AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Certified : Azure AI Engineer Associate, TensorFlow Developer Certificate, or IBM Machine Learning Professional Certificate.

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EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

160,000.00

Maximum Salary

170,000.00