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Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The Role The Platform Engineering team builds the systems, tooling, and operational standards that enable product teams to deliver software safely, frequently, and independently as the company grows.The Platform Engineer is responsible for contributing as part of this team, helping to lead the design, scalability, reliability, and operational excellence of the company’s platform infrastructure and core services. This role partners closely with Engineering, Product, and Cybersecurity to architect and evolve systems that support a highly available, secure, and resilient multi-tenant SaaS environment. As a senior individual contributor, the Platform Engineer applies advanced reliability and systems engineering principles to production environments, influencing architectural decisions and long-term platform strategy. This role balances speed of delivery with operational maturity, ensuring the platform scales effectively while maintaining high standards of performance, security, and uptime. This position reports to the Platform Engineering Manager. This position is full-time and fully remote. Candidates must be located in one of the following states: New York, New Jersey, Connecticut, California, Oregon, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, and South Carolina. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You * You bring deep experience designing and operating production-grade cloud platforms, ideally within Microsoft Azure, and have helped evolve infrastructure that supports reliable, highly available SaaS systems at scale. * You have led or played a major role in complex platform initiatives, such as Kubernetes adoption, infrastructure modernization, or safely decomposing monolithic systems while the business continued shipping product.. * You have strong experience building and evolving CI/CD pipelines, infrastructure-as-code frameworks, and deployment automation that allow engineering teams to ship software safely and frequently. * You think in terms of systems, reliability, and operational maturity, with experience designing observability practices, incident response processes, and service reliability standards that improve uptime and reduce operational friction. * You naturally raise the technical bar around you, documenting architecture decisions, mentoring engineers, and helping teams adopt stronger reliability, observability, and operational practices across production systems. What You'll Do * Lead the design, implementation, and evolution of reliable, scalable platform infrastructure supporting the company’s SaaS products and APIs. * Partner with engineering teams to evolve platform architecture over time, supporting safe system decomposition, service ownership, and scalable service boundaries. * Architect and maintain infrastructure-as-code frameworks and automation standards to ensure consistency and repeatability across environments. * Establish and refine monitoring, alerting, logging, and observability practices to proactively detect and resolve system issues. * Own and improve incident response frameworks, root cause analysis processes, and post-incident reviews, driving systemic improvements. * Define and guide service level objectives (SLOs), service level indicators (SLIs), and error budgets to support reliability-driven decision-making. * Partner with Engineering teams to embed reliability, operability, and scalability considerations into system architecture and deployment workflows. * Lead improvements to CI/CD pipelines, deployment automation, and platform tooling to increase developer velocity and reduce operational friction. * Drive capacity planning, performance optimization, and scaling strategies to ensure platform readiness for growth and peak usage. * Collaborate with Security and Engineering leadership to ensure platform resilience, data protection, and compliance best practices are embedded in infrastructure design. * Provide technical leadership and mentorship to engineers across teams, influencing platform standards and architectural best practices. * Contribute to documentation, operational standards, and runbooks to ensure consistency and knowledge sharing. * Participate in on-call rotations and provide production support as needed to maintain system uptime and reliability. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 8+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related roles within a SaaS environment. * Demonstrated experience designing and supporting highly available, production-grade cloud infrastructure. * Deep experience with cloud platforms (Azure preferred), networking, and distributed systems architecture. * Strong experience with infrastructure as code, automation frameworks, and CI/CD pipeline design. * Experience supporting multi-tenant SaaS systems with high availability, uptime, and performance requirements. * Experience with containerization and orchestration technologies (e.g., Kubernetes). * Experience leading complex technical initiatives or serving as a senior technical advisor across engineering teams. Essential Skills * Strong systems-thinking and architectural judgment, with the ability to design scalable, resilient solutions. * Advanced troubleshooting and root cause analysis skills across distributed systems. * Ability to influence technical direction without direct authority. * Strong written and verbal communication skills, including the ability to document architecture decisions and operational processes. * Ability to balance long-term platform strategy with short-term business priorities. * High level of ownership, accountability, and attention to detail. * Ability to work independently while collaborating effectively across Engineering, Product, and Cybersecurity teams. * Commitment to operational excellence and continuous improvement. Tools You’ll Use * Slack * Jira * Confluence * GitHub * Visual Studio Code / IDE * Datadog * AI-assisted development tools (GitHub Copilot) What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer * A base annual salary range of $170,000 - $195,000, commensurate with experience * Eligibility for annual bonus based on performance and company success * 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) * Company-paid life insurance * Traditional and Roth 401k plans * Paid parental leave * Learning & development opportunities with company reimbursement for eligible educational expenses * Working abroad opportunities * Volunteer days off * Flexible scheduling * Up to $300 reimbursement for initial equipment to set up hybrid work environment * Generous PTO and holiday schedule * Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing .

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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