Principal Engineer

7 days ago

Pasco, United States ZipRecruiter Full time

Job DescriptionJob Description

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they're parents, friends, volunteers, artists, and athletes. That's why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture values collaboration, lifelong learning, and equity. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a "Best Place to Work," we believe and drive innovation and exceed customer expectations. At STS, taking care of our people isn't a perk—it's the standard.

As an 8(a) HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify

Simple Technology Solutions is looking for a Principal Engineer - ML/AI to add to our team.

Quick Position Overview:

  • US Citizenship is required
  • Bachelor's degree is required
  • Minimum 15 years' position related experience is required

Position Overview:
Simple Technology Solutions is looking for an expert-level Principal Engineer - ML/AI to join our team. We seek a deeply technical AI leader with a track record of innovation, thought leadership, and a strong ability to translate technical solutions into strategic business outcomes. This individual will take charge of designing, developing, and delivering advanced AI and machine learning solutions that drive business growth and operational excellence.

As a thought leader in ML/AI, you will have the opportunity to mentor teams, contribute to industry-wide discussions, and pioneer scalable ML/AI models and NLP tools that create quantifiable results for our clients.

Key Responsibilities:

  • Spearhead the design, development, and deployment of ML/AI models, particularly in natural processing (NLP) and machine learning. Drive innovation and thought leadership by publishing research, presenting at conferences, and contributing to high-impact AI projects.
  • Collaborate closely with cross-functional teams, including product management, engineering, and business stakeholders, to develop solutions that meet both technical and business needs across multiple platforms (e.g., Microsoft, NVIDIA).
  • Lead the design and development of machine learning algorithms from prototyping to rigorous training, validation, and deployment. Optimize models to deliver measurable business outcomes such as enhanced decision-making, efficiency improvements, and cost reductions.
  • Provide leadership and mentorship to junior team members and AI developers. Foster an environment of collaboration, technical excellence, and continuous learning.
  • Oversee the management of ML/AI projects, ensuring seamless data collection, preprocessing, and quality assurance to uphold data integrity. Implement robust data handling protocols and security measures.
  • Ensure that implemented models and AI tools drive quantifiable efficiency gains and business outcomes. Deliver ML/AI solutions that scale effectively, with a focus on operational impact and measurable results.
  • Maintain an active presence in the ML/AI community. Stay current with emerging trends, methodologies, and technologies, ensuring that the company remains at the cutting edge of ML/AI innovation.
  • Publish relevant thought leadership content, papers, and blogs in the ML/AI domain. Present research and innovations at industry conferences, positioning the company as a leader in the ML/AI space.

Qualifications:

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field; PhD is a plus.
  • Over 15 years of hands-on experience in architecting, designing, and deploying scalable ML/AI solutions. Proven expertise in developing machine learning algorithms and NLP tools that drive business outcomes.
  • Strong command of programming such as Python, R, Java, or Scala. Proficiency with ML/AI frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Deep familiarity with cloud platforms (AWS, Azure) and big data technologies (Hadoop, Spark, Kafka).
    • Expertise in deploying and scaling ML/AI solutions in cloud environments.
  • Experience leading teams of AI developers, driving collaborative projects, and mentoring junior staff.
  • Proven ability to implement ML/AI solutions that achieve measurable efficiency results, including improved operational workflows and better business decision-making.
  • Excellent communication skills, with a proven ability to explain complex technical concepts to non-technical audiences. Able to influence senior leadership and stakeholders through compelling data and Insights.
  • Published papers, articles, or research in ML/AI journals or prominent conferences.
  • Experience as a at ML/AI conferences.

  • Certifications:
    • AWS Certified Data Engineer
    • Microsoft Certified: Azure AI Engineer Associate
    • AWS Certified Machine Learning – Specialty,
    • Databricks Certified Professional Data Scientist

STS is committed to equal employment opportunity. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation of any type without regard to , , , , , , status, genetics, protected veteran status, , marital status, family responsibilities, matriculation, personal appearance, political affiliation, or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.---Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.

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