Ensure strong security posture aligned with Zero Trust and SOC2.
Build ML-driven features such as recommendation engines, anomaly detection, and NLP.
Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions.
Ensure responsible and ethical AI deployment practices.
Lead and mentor AI/ML engineering teams.
Champion best practices in data engineering, MLOps, and cloud optimization.
Implement testing, code quality pipelines, and DevOps workflows.
Lead end-to-end architecture, design, and development of full-stack applications with AI/ML components.
Build RESTful and GraphQL APIs.
Optimize model performance and deployment strategies.
Champion AI governance, compliance, and ethical AI principles across all solutions.
Implement model drift detection, automated retraining pipelines, and AI observability frameworks.
Develop high-performance front-end interfaces using modern frameworks (React, Next.js, Angular, Vue).
Incorporate MCP servers and distributed compute frameworks to support large-scale AI/ML inference and training.
Explore advanced AI applications such as digital twins and immersive analytics to accelerate innovation.
Support observability, monitoring, and data governance.
Design data pipelines, feature stores, vector databases, and inference layers.
Implement CI/CD pipelines.
Integrate real-time data streams for AI-driven features.
Translate business requirements into scalable AI/ML strategies.
Productionize ML models and integrate them into real-world applications.
Drive best practices in coding, scalability, security, CI/CD, and cloud-native development.
Promote cross-functional AI adoption and educate stakeholders on AI capabilities and limitations.
Research and prototype emerging AI technologies (LLMs, GenAI, RAG architectures).
Coach and mentor developers, data engineers, and ML engineers.
Lead cloud architecture (AWS, Azure, GCP) with serverless and containerization.
Define and execute enterprise AI/ML strategies aligned with key business outcomes.
Own solution design reviews, technical roadmaps, and architectural decisions.
Leverage enterprise frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration (Azure AKS, Kubernetes, Helm) for scalable AI deployments.
Requirements
bachelor’s
8+ years
sql/nosql
mlops
kubernetes
tensorflow
Bachelor’s degree in Computer Science or related field, or similar, or equivalent experience.
Strong SQL/NoSQL experience and API design skills.
Ability to lead cross-functional teams.
Familiarity with MCP servers and distributed compute frameworks for AI scalability.
Experience with MLOps tools (Kubeflow, MLFlow, SageMaker).
Any 8+ years of full-stack engineering experience.
Expertise in JavaScript/TypeScript, Python, and modern front-end frameworks.
Architect secure, scalable backend services using Node.js, Python, Go, or Java.
Proficiency in microservices, distributed systems, and cloud platforms.
Data or AI/ML related certifications.
Strong problem-solving and systems-thinking abilities.
Strong AI/ML experience with TensorFlow, PyTorch, Scikit-Learn, or similar.
Experience deploying ML models and integrating AI features into applications.
Prior experience in regulated industries.
Experience with GenAI, LLMs, vector search, RAG architectures.
Excellent communication skills.
Experience with enterprise-grade frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration across Azure, AWS, and GCP, including Kubernetes and Helm.
Knowledge of identity and security frameworks (OAuth 2.0, OIDC).
Real-time data frameworks (Kafka, Spark).
Benefits
Flexible Spending Account (FSA)
Life, AD&D, short-term, and long-term disability
Health Savings Account (HSA)
Professional and personal development
Medical, dental, vision insurance
401 (k) Retirement Plan
Commuter and wellness benefits
Generous paid time off
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
1940
Year Founded
The year Michael Baker International was established as a major player in the infrastructure and engineering sectors.
Specializes in transportation, water resources, energy, and government-related projects, delivering high-quality solutions.
Known for its expertise in complex, multi-disciplinary projects that shape cities, regions, and transportation networks.
Works on a diverse range of projects including roadways, bridges, airports, water systems, and energy infrastructure.
Regularly supports local, state, and federal government agencies with crucial public infrastructure projects.
The firm’s legacy is built on delivering practical, sustainable, and forward-thinking solutions to challenging engineering problems.
Notable projects include major transportation systems, environmental remediation, and disaster recovery operations.
Employs cutting-edge technology and innovative approaches to solve the most pressing engineering challenges of today.
Culture + Values
We are client-focused, driven by the desire to provide high-quality, innovative solutions.
We take pride in our work and are committed to delivering exceptional value for our clients.
We work collaboratively, fostering teamwork and sharing knowledge to achieve the best results.
We act with integrity, doing what is right and ethical in all circumstances.
We embrace a commitment to innovation and continuous improvement, encouraging creative solutions.
Environment + Sustainability
2050
Commitment to Sustainability
Achieving net-zero emissions by 2050.
Dedicated to providing sustainable solutions in the infrastructure projects they design and deliver.
Integrates sustainability into projects to minimize environmental impact.
Focused on advancing resilient infrastructure and helping clients meet environmental goals.
Inclusion & Diversity
40% women
Workforce Composition
The company's workforce includes 40% women, reflecting a significant representation across its teams.
28% leadership roles
Women in Leadership
Women hold 28% of leadership roles, indicating strides toward greater representation in decision-making positions.
2025 goal
Gender Parity Aim
The company aims to achieve gender parity at the management level by 2025, showcasing its commitment to equal representation.
Focus on increasing representation of women and minorities in leadership roles.
Implemented mentorship and development programs to support diverse talent.