Top AI & Machine Learning Jobs

Lead the design, development, and production deployment of complex, scalable ML models. Provide technical leadership, mentor data scientists, collaborate cross-functionally, evaluate emerging AI/ML technologies, and communicate insights to executive stakeholders to drive business impact.

Leads the company’s adoption of AI, analytics, automation, and business intelligence. Builds AI-powered workflows, Excel solutions, natural-language data interfaces, dashboards, forecasts, predictive analytics, and automated reporting using Snowflake, SQL, Tableau, and related tools. Partners across business functions to identify opportunities, improve data quality, automate repetitive processes, and deliver scalable decision-support solutions. Establishes responsible AI practices and advances an AI-first analytics culture.

Develop, optimize, and deploy computer vision and machine learning algorithms for autonomous robotics systems. Train custom models, including object detection, segmentation, and 3D vision architectures, for embedded platforms. Collaborate across teams to integrate algorithms into products, research emerging computer vision techniques, and maintain documentation and unit tests. The role requires strong PyTorch, C++, Python, multi-view geometry, deep learning, and robotics expertise.

Develop AI agents that improve productivity across HR, Finance, Product Support, Customer Service, and CAD Design. Build and integrate Retrieval-Augmented Generation models, fine-tune open-source models, collaborate with cross-functional stakeholders, integrate AI into existing systems, and troubleshoot and optimize model performance.

Leads Covista’s Applied AI portfolio across agentic AI and RPA delivery teams. Owns strategy, architecture standards, responsible-AI governance, evaluation quality, partner and vendor management, backlog prioritization, budget decisions, and team development. Ensures agents meet architecture, safety, regulatory, evaluation, and business-value requirements. Builds the AI leadership team and collaborates with data, technology, governance, and business stakeholders across Covista’s school brands.

Provides systems engineering and technical assistance for DoD AI and machine learning test and evaluation programs. Evaluates model performance and robustness, advises on testing methodologies, supports investment strategies, and assesses emerging AI, autonomy, robotics, cloud, and machine learning technologies. The role requires hands-on machine learning algorithm development, knowledge of DoD acquisition and testing environments, and familiarity with major test ranges and related investment programs.

Leads enterprise AI infrastructure strategy, architecture, deployment, governance, and operations across Azure and hybrid environments. Oversees AI platforms, machine learning systems, GPU infrastructure, RAG architectures, automation, observability, security, resilience, cost optimization, and compliance. Manages infrastructure-as-code, AIOps, vendor relationships, strategic initiatives, and a team of AI infrastructure engineers. Partners with security, cloud, data, architecture, and business stakeholders to build scalable and responsible AI capabilities.

Partner with teams to design, pilot, and scale generative-AI workflows and automation. Build prompt libraries, evaluate AI platforms, integrate APIs, draft executive communications, and drive cross-functional adoption of AI solutions to improve efficiency and decision-making.

Lead technical product marketing for a vector database platform: develop GTM and launch plans, craft technical positioning and messaging, gather customer and market insights, create enablement content, and collaborate with Product, Sales, DevRel, and Marketing to drive adoption.

Design, build, and deploy agentic AI systems, orchestration pipelines, and RAG/knowledge retrieval services. Implement scalable backend services, observability, LLMOps practices, and integrations with code repositories and enterprise systems. Mentor engineers and ensure explainable, traceable AI for regulated federal healthcare environments.