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be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech:innovating and transforming the future of freight rail bnsf | techis the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.Come make a difference with us! learn more about___and our___ Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range represents the amountbnsf | techreasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training.In addition to base pay and bonus eligibility, BNSF offers a comprehensive___package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai:lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications • Minimum 6 years of experience with building optimization algorithms or relevant experience., • Advanced proficiency in programming languages such as Python, R, SQL, and Java., • Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively., • In-depth experience with data science cloud platforms and their integration into business solutions., • Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment., • Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies., • Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism., • Deep understanding and application of statistical analysis and advanced machine learning techniques., • Must understand and haveproficiencyin the core architecture of LLMs (e.g., transformers and attention mechanisms), • Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies., • Experience with Vector Databases and embeddings., • Experience with Model Fine-tuning., • Experience with GPU optimization. Preferred Qualifications • Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus., • Knowledge of geospatial analytics, route optimization, and GIS concepts., • Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions., • Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector., • Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives., • Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: • An industry-leading 401(k) and renowned Railroad Retirement program., • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options., • Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost., • Family benefits includingparental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match)., • Access to discounts on travel, gym memberships, counseling services and wellness support., • Annual bonus (Incentive Compensation Program), • Generous leave / time off policies., • For more information, visit___. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our___for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Job Description Job Title: Research Scientist Location: Fort Worth, TX 76134, USA (Onsite) Duration: 24+ months contract with possible extension The candidate will join the group focusing on the development of topical ophthalmic formulations and help solve manufacturing and stability challenges in new solution and emulsion formulations, evaluate the properties of new formulations and materials, characterize new manufacturing processes. The candidate is expected to: • Be able to carry out experiments under the limited supervision, following GxP guidelines. Capable of taking initiative, self-driven, capable of focusing on objectives, and strong ability for prioritization. Detail oriented and hand-on is a must., • Contribute to DOE development in collaboration with supervising scientists, • Analyze, summarize, and present the data., • Have in depth experience in polymer chemistry, surface chemistry, colloid chemistry, or similar, with strong formulation and characterization skills., • Generate, review and approve documents such as batch records, study protocols, reports, and standard operational procedures, • Have strong ability to work independently with little direction and tight timeline; Minimum requirements: BS degree in chemistry, polymer science, surface science, colloid chemistry, or similar. Chemical lab experience. Ability to work following SOPs and instructions. Desired: • MS or PhD degree with experience in polymer science, surface science, colloid chemistry, or similar., • Experience working with polymer solutions and / or with emulsions, familiarity with rheology, microscopy, and particle size characterization methods., • Experience developing ophthalmic products, • Understanding of formulations development principles., • Experience working in regulated industry such as pharmaceutical or medical devices., • Strong oral and written communication skills, excellent presentation skills, • Experience in GxP Company DescriptionFounded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies.Founded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies.

Job DescriptionRole Overview We are seeking a Staff Machine Learning Engineer / MLOps Pod Lead to lead a delivery pod of 3 to 5 engineers and data scientists responsible for designing, deploying, and operating scalable machine learning pipelines integrated with enterprise data platforms. This is a hands-on, delivery-focused role that combines deep MLOps execution with technical leadership in a collaborative, in-office environment. The role supports both active commercial engagements and federal and state government programs, adapting ML systems to varying regulatory, security, and operational requirements. Key ResponsibilitiesTechnical Architecture and MLOps Execution * Design, deploy, and operate end-to-end ML pipelines supporting TB-scale datasets integrated with enterprise data lakes and data warehouses. * Build and maintain production-grade MLOps systems across Azure, AWS, and GCP, with primary emphasis on Microsoft Azure. * Implement CI/CD pipelines for machine learning workflows, including model training, versioning, deployment, and monitoring. * Utilize MLflow for experiment tracking, model registry, and lifecycle management. * Monitor model performance, data drift, and system reliability in production environments. * Ensure ML services and pipelines meet defined SLA targets across regulated and semi-regulated environments. * Partner with Data Engineering teams on ETL workflows, feature pipelines, and data modeling strategies. * Deploy and operate ML workloads on Kubernetes-based platforms. Leadership and Delivery * Lead a pod of 3 to 5 engineers and data scientists, providing technical direction, mentorship, and code reviews. * Own delivery outcomes across mixed commercial and public sector portfolios, balancing delivery velocity with compliance and quality requirements. * Translate business, mission, and regulatory requirements into scalable, maintainable ML system designs. Compliance, Security, and Ethical AI * Implement ML systems aligned with applicable standards, including the NIST AI Risk Management Framework for public sector programs. * Support secure handling of sensitive bioscience, health, and government data. * Apply bias detection, mitigation, and documentation practices across deployed models. Required Qualifications * U.S. Citizen with an active DoD, Intelligence Community, or DHS clearance, or eligibility to obtain and maintain one. * Bachelors degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience. * 7 or more years of hands-on experience in machine learning engineering and MLOps supporting production deployments. * Strong proficiency in Python and experience with modern ML frameworks such as MLflow, PyTorch, and TensorFlow. * Hands-on experience deploying ML workloads in cloud environments including Azure, AWS, or GCP, with demonstrated depth in Microsoft Azure. * 1 to 2 years of hands-on experience deploying or operating Kubernetes workloads in production environments. * Experience with Azure ML, Azure DevOps, or Azure-native data and ML services strongly preferred. * Hands-on experience with CI/CD for ML systems, data lakes and warehouses, and large-scale ETL and data modeling. * Solid grounding in software engineering best practices, including testing, version control, and documentation. Preferred Qualifications * Experience delivering ML systems for commercial clients and or federal or state government programs. * Prior technical leadership experience guiding small engineering teams. * Experience operating ML systems in Azure Government or other regulated cloud environments. * Familiarity with Terraform or other infrastructure-as-code tools. * Exposure to AI governance, model risk management, or ethical AI frameworks. * Relevant certifications are a plus, including: * Microsoft Azure AI Engineer Associate * Microsoft Azure Data Scientist Associate * AWS Certified Machine Learning Specialty * TensorFlow Developer Certificate Benefits and Growth * Competitive salary and comprehensive health benefits. * 401(k) with company matching. * Clearance sponsorship for eligible candidates. * Access to MLOps, AI ethics, and public sector compliance training. * Clear growth path into Lead, Principal, or Staff-level roles as programs expand across commercial and government portfolios. Equal Employment Opportunity General Genomics, Inc. is an Equal Employment Opportunity employer committed to building a diverse and inclusive workforce. We provide equal opportunity to all applicants without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status, in full compliance with applicable federal, Oklahoma, and Texas employment laws.

Familiarity with cloud infrastructure, data pipelines, or production software systems.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties: