Please contact Renu Goel 857-207-2676 renu.goel@yoh.com Hybrid 3 days onsite. W2 only no corps please Client wont sponsor or transfer visas . No visa candidates please 1 year duration The implementation of AI systems across client presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment. To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise-grade AI systems and their supporting data pipelines university-wide. These specialized positions will enable automation of routine functions across the institution and power the wide and expanding array of AI-based institutional initiatives, while creating a stronger foundation for future AI adoption throughout the global campus network. The specialized knowledge required—spanning data pipeline engineering, machine learning implementation, and AI system operations—is distinct from traditional IT roles. By establishing these positions now, Northeastern will strengthen its position at the forefront of AI adoption in higher education, enhancing student experiences, accelerating research capabilities, and improving administrative efficiency across all university functions. These roles represent both a strategic investment in the university's future and a fiscally responsible approach to institutional advancement through technological innovation. AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. • Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. • Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices. • Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. • Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. • Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services. • Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards. • System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences. • Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. • Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks. • Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. • AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations. • Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications. • Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope. • Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences. • Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaborate with cross-functional teams. • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred. • Minimum of 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments. • Experience with AI system implementation in higher education or similar complex organizational settings preferred Estimated Min Rate: $67.90 Estimated Max Rate: $97.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) • Health Savings Account (HSA) (for employees working 20+ hours per week) • Life & Disability Insurance (for employees working 20+ hours per week) • MetLife Voluntary Benefits • Employee Assistance Program (EAP) • 401K Retirement Savings Plan • Direct Deposit & weekly epayroll • Referral Bonus Programs • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.