Principal Data, AI/ML Engineer at Simple Technology Solutions

, , -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Data Analytics, Data Lifecycle Management, Data Integrity, Model Training, Model Validation, Data Handling, Security Measures, Cloud Platforms, Agile Methodologies, Programming Languages, Big Data Technologies, SQL, TensorFlow, PyTorch

Industry

IT Services and IT Consulting

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 is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us 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 Data, AI/ML Engineer to add to our team. Quick Position Overview: US Citizenship is required Bachelor's Degree is required Minimum of 15 years' position related experience is required The Role: Simple Technology Solutions is seeking a Principal Data, AI/ML Engineer to join our growing team. You will play a vital role in designing and implementing innovative solutions that leverage artificial intelligence, machine learning, and data analytics to drive business growth. The Principal Data, AI/ML Engineer at STS will: Collaborate extensively with stakeholders to deeply understand business requirements, translating them into robust technical solutions that advance the enterprise's objectives. Spearhead the design and development of AI/ML projects, crafting intricate yet scalable data pipelines, model training mechanisms, and deployment strategies. Assume responsibility for the meticulous oversight of data lifecycle management, ensuring seamless collection, preprocessing, and quality assurance to uphold data integrity. Pioneering the development of machine learning models, from prototyping to rigorous training and validation, employing state-of-the-art algorithms and methodologies. Continually refine and optimize model performance, utilizing sophisticated techniques to meet and exceed predefined benchmarks. Implement robust data handling protocols and security measures, adhering meticulously to industry standards and internal policies. Forge strong partnerships with data scientists, engineers, product managers, and executives, orchestrating cohesive project execution across teams. Provide diligent oversight and support for deployed AI/ML solutions, ensuring their sustained performance and reliability. Offer guidance and mentorship to junior team members, fostering their professional growth while serving as a beacon of technical excellence. Maintain an active presence within the AI/ML community, staying at the forefront of emerging technologies, research, and industry best practices. Education and Experience: Required Bachelor's or Master’s degree in computer science, Data Science, Engineering, or a closely related discipline. Over 15 years of hands-on experience in architecting AI/ML solutions, demonstrating a deep understanding of diverse machine learning algorithms and methodologies. Strong command of programming languages such as Python, R, Java, or Scala, with a proven track record of building robust and scalable solutions. In-depth familiarity with leading AI/ML frameworks, including TensorFlow, PyTorch, or Scikit-learn, leveraging them to develop cutting-edge models and solutions. Strong SQL abilities and experience with massive relational database systems. Comprehensive knowledge of big data technologies such as Hadoop, Spark, or Kafka, harnessing their power to manage and analyze vast datasets effectively. Experience with cloud platforms such as AWS and Azure is highly valued for this role, particularly in leveraging their capabilities to deploy and scale AI/ML solutions. Proficiency in Agile methodologies and related tools is advantageous for effective project management and collaboration. Preferred Certifications AWS Certified AI Practitioner AWS Data Engineer – Associate AWS Machine Learning – Specialty Microsoft Azure AI Fundamentals Microsoft Azure AI Engineer Associate Microsoft Azure Data Fundamentals Microsoft Azure Data Engineer Associate Microsoft Azure Data Scientist Associate 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 race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, marital status, family responsibilities, matriculation, personal appearance, political affiliation, gender identity 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.

Responsibilities

The Principal Data, AI/ML Engineer will design and implement innovative solutions leveraging AI, ML, and data analytics to drive business growth. This role involves collaborating with stakeholders, overseeing data management, and mentoring junior team members.