AI ML Engineer We are seeking a Senior AI/ML Engineer with 5+ years of hands-on experience in Artificial Intelligence and Machine Learning. The ideal candidate should have worked in organizations where AI/ML technologies are actively implemented in production environments, particularly in Document AI and intelligent automation. Key Responsibilities - Design, develop, and deploy scalable AI/ML models for document processing and automation. - Build end-to-end pipelines for data extraction, classification, and validation. - Implement and integrate Document AI and OCR-based solutions. - Develop LLM-driven applications using modern frameworks and orchestration tools. - Collaborate with cross-functional teams to deliver business-focused AI solutions. - Optimize model performance, accuracy, and scalability in production environments. - Stay updated with the latest advancements in AI/ML technologies. Core Competencies - Strong experience in production-grade AI/ML implementations. - Expertise in Intelligent Document Processing (IDP) and Document AI. - Hands-on experience with LLM frameworks and workflow orchestration. - Strong analytical, problem-solving, and debugging skills. - Ability to work in fast-paced, technology-driven environments. Must-Have Technical Skills - Rossum - Hyperscience - Nanonets - Infrrd - Microsoft Azure AI Document Intelligence - AWS Textract - LandingAI ADE Split - LlamaParse - LayoutLMv3 - Donut (Document Understanding Transformer) - LangGraph - LangChain Education & Qualifications - Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field. Additional Requirement - Candidates must have prior experience working with organizations that actively utilize AI/ML technologies in real-world, production-grade environments. - Strong Mathematical foundation (Linear Algebra, Probability, Statistics, Optimization) is highly desirable. Preferred Qualifications - Experience in large-scale AI deployments on cloud platforms. - Strong background in NLP, OCR, and document automation workflows. - Experience with model fine-tuning, prompt engineering, and evaluation techniques.

About ScienceLogic… ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale. We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence. We are seeking a visionary VP of Engineering to lead the development and delivery of ScienceLogic’s Skylar AI platform. This is a rare opportunity to own and shape the engineering strategy for a transformative AI product from the ground up - building the teams, systems, and culture that will drive ScienceLogic’s next decade of innovation. The ideal candidate is a deeply technical AI practitioner and proven engineering leader who thrives at the intersection of cutting-edge AI research and large-scale enterprise software delivery. You will report to the CPEO and work in close partnership with Product, Design, Sales, and Customer Success to build AI experiences that are not only technically exceptional but commercially impactful. Key Responsibilities Own the Skylar AI Engineering Vision • Working with the Skylar AI CTO, define and drive the end-to-end engineering strategy for the Skylar AI platform, including model architecture, inference infrastructure, data pipelines, APIs, and runtime services. • Translate product and business objectives into a compelling technical roadmap, with clear milestones, priorities, and measurable outcomes. • Serve as the primary engineering authority for Skylar AI—maintaining deep, hands-on engagement with core AI/ML systems, architecture decisions, and emerging capabilities. • Champion responsible and explainable AI practices, establishing engineering standards that ensure reliability, safety, fairness, and scale. Transform Engineering for an AI-First World • Lead the transformation of ScienceLogic’s engineering processes, tooling, and culture to be AI-centric—embedding AI-assisted development, automated testing, and intelligent observability throughout the SDLC. • Champion modern engineering methodologies including AI-augmented CI/CD, LLM-assisted code review, and automated quality assurance pipelines. • Establish best practices for working with foundation models, fine-tuning workflows, RAG architectures, and AI evaluation frameworks. • Drive a culture of continuous experimentation and rapid iteration, enabling the team to quickly test hypotheses, learn from data, and ship with confidence. Build & Lead a World-Class Engineering Organization • Recruit, develop, and retain exceptional engineering talent, building diverse, high-performing teams capable of delivering category-defining AI products. • Create a culture of accountability, psychological safety, and excellence—where engineers are empowered to take ownership and push the boundaries of what’s possible. • Define clear career paths, performance standards, and mentorship programs that attract top AI/ML engineers and grow them into future leaders. • Lead geographically distributed teams with consistency and clarity, fostering cohesion and alignment across time zones and functions. • Manage engineering capacity and resource planning to support aggressive growth targets while maintaining quality and sustainable team health. Drive Cross-Functional Alignment & Executive Partnership • Partner closely with the CTO, CPO, and executive leadership to align engineering investments with ScienceLogic’s revenue growth and strategic priorities. • Collaborate with Sales, Marketing, and Customer Success to incorporate customer insights into the engineering roadmap and communicate platform capabilities with clarity and confidence. • Represent Skylar AI externally as a thought leader—speaking at industry events, engaging with key customers and partners, and elevating ScienceLogic’s AI brand. • Communicate roadmaps, progress, risks, and tradeoffs with precision and transparency to all stakeholders, including the board of directors. Skills & Experience Required • 15+ years of progressive engineering leadership experience, including 5+ years in senior roles (VP or equivalent) leading large-scale product engineering organizations. • Deep, hands-on technical expertise in AI/ML—including experience with LLMs, neural networks, model training/fine-tuning, vector databases, RAG architectures, and AI evaluation methodologies. • Proven track record of transforming engineering organizations to adopt AI-centric development practices, tooling, and workflows. • Demonstrated success building and scaling high-performing, geographically distributed engineering teams in a fast-paced enterprise software environment. • Strong command of modern cloud-native architectures—microservices, Kubernetes, event-driven systems—and experience delivering highly available, enterprise-grade SaaS platforms. • Exceptional communication skills: ability to distill complex technical concepts for executive, customer, and board audiences with clarity and confidence. • Track record of delivering products on time and on budget, with measurable business impact. • Outstanding cross-functional collaboration skills and executive presence. Preferred • Experience in IT Operations, AIOps, ITOM, or ITSM domains. • Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related technical discipline. • Experience presenting at industry conferences or contributing to the external AI/engineering community as a thought leader. Why ScienceLogic • Own and define the engineering story for a flagship AI platform at the forefront of enterprise IT transformation. • Join a leadership team that values bold thinking, transparency, and a relentless focus on customer outcomes. • Competitive compensation package including equity, comprehensive benefits, and flexible remote work. • A collaborative, mission-driven culture where your work directly shapes the future of AI-powered IT operations. Benefits & Perks - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying. About ScienceLogic ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. www.sciencelogic.com

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as a Senior AI & ML Engineer! As a senior member of the AI team, you will drive architectural decisions, establish best practices, and deliver robust, scalable AI systems, with a strong focus on AI-powered and agentic applications in production environments. Responsibilities - Lead AI Development - Own the end-to-end design, development, and operation of production-grade AI/ML solutions, including ML and NLP models, LLM, RAG, and multi-agent systems. Make key architectural decisions across model selection, training strategies, retrieval mechanisms, orchestration layers, and infrastructure. - AI done right - Create evaluations and define metrics of success using cutting edge AI platforms. - MLOps - Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments. - Collaboration & Leadership - Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs. - Mentorship & Coaching - Guide and support more junior AI engineers, fostering a culture of learning and knowledge sharing. Qualifications - Bsc/Master's degree in Computer Science, Machine Learning, Data Science, or a related field. - Hands-on experience in LLM-powered production applications or ML/NLP applications. - Strong proficiency in Python and AI frameworks - Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). - Solid experience with NLP systems (text classification, embeddings, retrieval systems, semantic search, etc.). - Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, monitoring, CI/CD for models and AI artifacts. - Solid understanding of AI model fine-tuning, optimization, and evaluation. - Proven experience with AWS and cloud-based AI deployments. - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharing - Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. - Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressions - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong Plus - Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure. - Experience optimizing models for latency, throughput, and cost. - Experience fine-tuning large language models. - Familiarity with multi-agent systems and orchestration frameworks. - Experience designing AI systems in enterprise or B2B environments. If you're excited about pushing the boundaries of AI and mentoring the next generation of engineers, we'd love to hear from you! Even if you don't meet every requirement, we encourage you to apply-we value expertise, passion, and the drive to learn. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Health insurance through our partnership with ACKO, including OPD coverage for dental, vision, health check-ups, consultations, and pharmacy expenses. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 22 days of holidays we offer). Plus, company-paid bank holidays (12), sick days (10-30), bereavement leave (5), and 3 days per year for volunteering. - Free access to professional training platforms to explore your interests and enhance your skills. - Stay covered against accidents, bodily injuries, and disabilities with our personal accident insurance policy, providing assurance with coverage up to three times your annual CTC. - New mothers are entitled to up to 26 weeks of maternity leave, with the flexibility to use up to 8 weeks before the expected delivery and the remaining 18 weeks after. Birth fathers can take 6 weeks of paternity leave, while adoptive parents are eligible for 26 weeks of leave for mothers and 6 weeks for fathers. - Under the Payment of Gratuity Act, receive gratuity at the rate of 15 days of basic pay for every completed year of service, provided you've been employed by the company for a minimum of 5 years. Gratuity is payable at retirement or resignation based on your last drawn basic pay. - Bonuses for referring successful hires after three months of continuous employment. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

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 | tech is 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! The range represents the amount bnsf | tech reasonably 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 benefits 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: AI Development and Implementation: Assist in designing, developing, and implementing AI models and algorithms tailored to railroad operations, including predictive maintenance, scheduling, and safety monitoring. Build scalable AI systems to analyze real-time data from rail infrastructure, rolling stock, and IoT devices. Data Collection and Analysis: Collect, preprocess, and clean data from various sources (e.g., sensors, GPS, maintenance logs) for training AI models. Conduct exploratory data analysis to identify trends and patterns relevant to rail operations. Build and Maintain Extract, Transform, Load (ETL) pipelines for AI applications. Optimization and Automation: Fine tune and optimize algorithms to streamline train scheduling, route planning, and fuel efficiency. Support the automation of operational processes and decision-making using AI-powered tools. System Integration and Deployment: Collaborate with software engineers and DevOps teams to integrate AI solutions into production environments. Ensure AI systems are robust, reliable, and compliant with railroad industry standards. Performance Monitoring and Improvement: Monitor deployed models and systems for performance, scalability, and accuracy, ensuring continuous improvement and reliability. Troubleshoot issues, retrain models, and implement necessary updates. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software engineers, business analysts, to understand their needs and enable AI-driven solutions. Communicate technical concepts and project updates to both technical and non-technical stakeholders. Research and Innovation: Stay updated on emerging AI technologies and trends to identify opportunities for innovation in rail transportation. Conduct research and propose new methodologies for solving complex railroad challenges. 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 - Authorized to work in the US. - Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience. - Technical Skills: - Strong in programming languages such as Python, R, or Java. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures. - Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments - Strong knowledge of databases (SQL and NoSQL) - Strong knowledge of Mlops ecosystem - Strong understanding of generative AI models - Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings) - Strong in GenAI tools and frameworks (LangChain, LangGraph) - Strong in Vector Databases and embeddings - Familiar with Agentic architecture - Analytical Skills: Ability to interpret complex datasets and derive actionable insights. - Problem-Solving: Proven ability to tackle real-world challenges using AI and machine learning techniques. - Communication: Excellent verbal and written communication skills for working with cross-functional teams and stakeholders. Preferred Qualifications - Able to work now and in the future without BNSF’s assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status). - Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field - Experience with predictive maintenance, anomaly detection, or industrial IoT applications. - Knowledge of railroad operations, transportation systems, or logistics. - Familiarity with MLOps practices and tools for model lifecycle management. - Experience deploying AI systems in production environments with a focus on scalability and reliability. - Previous experience in transportation, supply chain, or infrastructure industries. 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 including parental, 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 Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ 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.