Senior AI Engineer

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At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity.

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We are seeking a highly skilled and motivated Sr. AI/ML Engineer with a proven track record in designing and implementing AI solutions. The ideal candidate will have extensive experience in developing AI applications using Python libraries and popular AI toolkits, as well as proven track record and hands-on experience in delivering solutions leveraging AWS AI services. You will work collaboratively with cross-functional teams to architect, design, and deploy innovative AI solutions that drive business value and meet specific analytics requirements. Additionally, you will play a key role in mentoring team members and junior resources to foster their growth and development in the AI/ML domain.

• Collaborate with business stakeholders to determine precise analytics requirements and translate them into scalable and effective AI solutions.
• Architect, design, and implement machine learning models and AI applications using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Leverage AWS AI services (such as SageMaker, Bedrock, Comprehend, and Lex) to build robust and efficient AI solutions.
• Collaborate with technical teams and architects to provide functional inputs for system design and implementation, ensuring alignment with business goals.
• Work closely with Solution Architects, Dev Leads, data SMEs and data engineers to establish repeatable data preparation processes in line with MLOps principles.
• Guide domain/business data scientists in selecting appropriate analytics models, algorithms, and recipes for various use cases.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
• Monitor and optimize models as systems evolve to maintain their relevancy and performance.
• Implement best practices for model training, validation, and deployment, including version control and CI/CD, ModelOps pipelines.
• Mentor and support team members and junior resources, providing guidance on best practices, tools, and methodologies in AI/ML.
• Stay up-to-date with the latest advancements in AI/ML technologies and AWS services, and apply this knowledge to improve existing systems and processes.

• 5+ years of proven experience as a Sr. AI/ML Engineer or similar role, with a strong portfolio of AI solutions.
• 5+ years of machine learning experience with various regression, classification, and outlier detection models using structured and unstructured data.
• 5+ years of demonstrable proficiency in Python programming and experience with popular AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• 3+ years of hands-on experience with AWS AI services, particularly SageMaker, and familiarity with other AWS services (e.g., S3, Lambda, EC2).
• 3+ years of experience in Python for data skills and knowledge of the Python ecosystem for AI tools.
• Strong understanding of machine learning algorithms, data structures, and software engineering principles.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Experience with natural language processing (NLP) or computer vision applications.
• Knowledge of MLOps practices and tools for model deployment and monitoring.
• Familiarity with Agile development methodologies.
• Experience with data quality tools and libraries such as Sweetviz and Great Expectations is an advantage

The proposed salary range for this role is $145,000.00 to $185,000.00 USD. The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Karsun Solutions is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Third Party Resumes: Karsun does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Karsun and Karsun will not be obligated to pay a placement fee.

Clearance Information

This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website