Experience Requirements:

• 4+ years of experience working as a Full Stack Engineer

• Experience in shipping features to end users

Responsibilities:

• Collaborate together with product managers, designers, and fellow engineers to bring ideas to life

• Build a modern next-generation web application with a focus on user experience and scale.

• Create efficient and reusable front-end abstractions and systems.

• Craft secure, scalable, and easily maintainable backend services.

• Design and architect solutions, implement the solutions you’ve conceived, and participate in monitoring, scaling, and maintaining them.

Experience Requirements:

• 8+ years as a Full Stack Engineer from leading companies, or Backend/Frontend Engineer willing to transition to Full Stack.

• Experience owning product features end-to-end (architecture to deployment and maintenance).

Responsibilities:

• Collaborate with product managers, designers, and fellow engineers to bring ideas to life.

• Build next-generation web applications focused on user experience and scale.

• Create efficient and reusable front-end abstractions and systems.

• Craft secure, scalable, and maintainable backend services.

• Lead architecture design, implementation, and monitoring of solutions.

Experience Requirements:

• 3+ years of professional experience in full-stack development

• 2+ years of working in Node.js

• 2+ years of working with modern JavaScript frameworks such as React/Redux

Responsibilities:

• Work with the latest technologies such as NodeJS, TypeScript, NestJs, Kafka, React, MongoDB, and more.

• Plan, design & develop new features consumed by millions of users every day.

• Participate in system design and code reviews.

• Tackle tough problems and find creative ways to solve them.

• Be in charge of different microservices, maintain and improve them Write beautiful code that is readable, testable, and extensible

Experience Requirements:

• 4+ years of programming languages such as Python (preferably)

• Experience with big data technologies (e.g., Spark, Kafka), cloud platforms (e.g., AWS, Azure), and containerized environments (Docker, Kubernetes)

• Solid understanding of data warehousing, ETL processes, and data pipeline design

Responsibilities:

• Design, implement, and optimize scalable data pipelines and architectures for large-scale data processing

• Ensure data quality, integrity, and availability by establishing best practices and monitoring systems

• Troubleshoot and resolve data-related issues to ensure continuous improvement

• Drive innovation by evaluating new data technologies and tools to improve data engineering practices

Responsibilities:

• Utilize your SQL expertise to extract valuable insights by querying data from diverse casino management systems and third party systems.

• Collaborate closely with our development and data science teams to understand data requirements and design efficient ETL workflows for seamless data ingestion.

• Take ownership of building and maintaining robust ETL pipelines to ensure smooth data flow from source to destination.

• Monitor data quality and integrity, ensuring the accuracy and completeness of the ingested information.

• Troubleshoot and resolve data-related issues to maintain the optimal performance of our Gaming Analytics application.

Experience Requirements:

• 15+ years of experience in solution engineering, technical sales, or pre-sales engineering, with at least 5 years in a leadership role.

• Deep expertise in healthcare IT and data interoperability and cloud-based AI/ML solutions.

Responsibilities:

• Own the pre-sales technical process, ensuring clear alignment between customer needs and the capabilities of our NLP platform.

• Define the pilot framework, including success metrics, implementation roadmaps, and integration requirements.

• Establish a solution engineering foundation of customer credibility and the structure and processes that will enable you to build a team capable of delivering world-class technical support to customers.

• Ensure customers can successfully integrate and scale our NLP technology within their environments.

Benefits:

• Independence and role ownership

• Essential tools and software

• Unlimited Holidays

• Stock options (ESOP)

• Training budget

Experience Requirements:

• at least 5 years of experience working on projects with Python

• extensive knowledge of the libraries listed above

• experience working in a small team based on Git workflow

• English level B2 - intermediate, communicative

Other Requirements:

• a natural curiosity and openness to new ideas and tools

• a high sense of responsibility

• Your communication skills are excellent

• You are ready to face challenges and solve complex technical problems

• You enjoy working with people and don't mind occasional f2f meetings with the team

• Worked in the Insurance industry (great if)

• Experience working in a fast-growing startup and working remotely (great if)

Responsibilities:

• Day-to-day work with Python.

• Backend frameworks such as Flask and FastAPI.

• Extensive use of libraries: SQLAlchemy, Alembic, pydantic, NumPy, pandas, RQ, Marshmallow.

• GitFlow/MLFlow approach for CI/CD.

• Azure solutions on DevOps side, backed by Docker, Kubernetes and Terraform.

Benefits:

• Competitive salary and equity

• Opportunity to work in a fast moving, high growth SaaS company

• Beautiful office at Millrock Park in Cottonwood Heights

• Company paid Healthcare and Dental plans

• Strong, results-oriented culture

Experience Requirements:

• Experience working in an environment with a distributed microservices architecture

• Experience working with modern relational databases like MySQL or Postgres

• Excellent software engineering skills in at least one programming language like Python, PHP, Ruby, Go, .NET etc.

• Strong knowledge of cloud platforms and architectural patterns (experience with Google Cloud Platform is a plus)

• Experience building and maintaining Kubernetes clusters using managed services like GKE or EKS, Excellent communication skills, Experience implementing CI/CD pipelines using tools like Bitbucket pipelines, ArgoCD, and/or Github, Strong conceptual understanding of networking and the OSI model, Ability to contribute in different technical domains as needed to achieve business goals.

Responsibilities:

• Implement technical solutions that will help Chargezoom achieve our immediate goals while maintaining optionality for future business requirements,

• Automate infrastructure provisioning across our cloud footprint using Terragrunt and Terraform,

• Build, maintain, and support our Kubernetes infrastructure,

• Implement CI/CD pipelines to optimize developer workflows and shorten time to delivery,

• Collaborate with engineering teams to build systems that allow them to rapidly deploy new services, iterate on new features, and monitor system reliability, Optimize performance, reliability, and cost of our infrastructure footprint, Support existing infrastructure while building out new capabilities.

Benefits:

• Competitive salary and equity

• Opportunity to work in a fast moving, high growth SaaS company

• Beautiful office at Millrock Park in Cottonwood Heights

• Company paid Healthcare and Dental plans

• Strong, results-oriented culture

Education Requirements:

• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience.

Experience Requirements:

• 6+ years of software engineering experience.

• Proven track record of designing, developing, and maintaining large-scale, high-performance web applications and RESTful APIs.

• Excellent software engineering skills in at least one programming language like Python, PHP, Ruby, Go, .NET etc.

• Deep understanding of object-oriented programming, design patterns, and best practices in software development.

• Strong experience with database design, optimization, and performance tuning in MySQL, PostgreSQL, or other relational databases.

Responsibilities:

• Design, develop, and maintain scalable, reliable, and efficient software, primarily using PHP.

• Thoughtfully implement the next phase of our system, ensuring best practices in coding standards, security, and scalability.

• Conduct code reviews and contribute to the growth of the engineering team's skills and knowledge.

• Troubleshoot, debug, and optimize code to ensure performance and stability of applications.

• Stay current with emerging technologies and industry trends, and evaluate their applicability to our tech stack and business needs.

Experience Requirements:

• 3+ years of software development experience, with an emphasis on modern frontend technologies (TypeScript/React/Next.js) and building delightful user interfaces.

Responsibilities:

• Understand the business scenarios, collaborate with UI/UX designers, Product Managers, and customers to explore and brainstorm new features which yield business value.

• Lead or own the frontend design of new features and drive the implementations.

• Develop and execute according to both short- and long-term roadmaps. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.

• Follow the best software development practices, and hold the high engineering bar for the team by regularly leading design, code review and test plan reviews.

Education Requirements:

• BS (or higher) in Computer Science, or a related field.

Experience Requirements:

• 5+ years of production level experience in one of: Python, Go, Rust or similar language.

Responsibilities:

• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

• Lead/contribute to engineering efforts from design to implementation, solving complex technical challenges around scalability, reliability and resiliency.

• Design and build advanced CI/CD infrastructure and pipelines; help teams debug and build projects and workflows

• Mentor early career engineers; provide technical and cultural guidance

Education Requirements:

• BS or MS degree in Computer Science or a related field, or equivalent work experience.

Responsibilities:

• Maintain deployed AI/ML models, ensuring their reliability and performance over time.

• Design and develop AI/ML models and algorithms to drive innovative applications and products.

• Perform data mining, data cleaning, and data preprocessing.

• Conduct experiments and prototype new models to evaluate their performance and potential impact.

• Collaborate with cross-functional teams, including AI scientists, product managers, and software engineers, to understand business needs and develop scalable and efficient AI/ML solutions.

Experience Requirements:

• Senior

Responsibilities:

• developing and executing strategic plans

• managing client relationships

• driving business development efforts

• leading a dynamic team to ensure the successful deployment of AI solutions

• fostering a culture of innovation

Experience Requirements:

• 2 - 4 years

Experience Requirements:

• 2 to 4 years of market competitor focused secondary research experience

• Experience of working in the US, Europe, Middle East, LATAM and APAC markets will be highly preferred

• Experience of leveraging publicly available and 3rd party sources such as SEC filings, EDGAR, Crunchbase, Slintel, Factiva etc.

• Must have skills- MS Office (Word, PowerPoint, Excel)

• 1-4 years of experience in business research firms/corporate strategy or Market Intelligence function

Other Requirements:

• Primary research experience is not relevant

Responsibilities:

• Research: ◆ Prepare understanding of the client’s problem statement and device appropriate research approach ◆ Conduct desk and Contify platform driven research on a particular industry/segment/competitors/topic ◆ Structure and analyze intelligence gathered coherently and succinctly to develop actionable insights ◆ Prepare standard/custom reports around industry/ competitor/company/ topical analysis ◆ Work on various team-specific strategic initiatives

• Project Execution/Management: ◆ Engage with senior members of the client and project teams to identify and address project bottlenecks ◆ Conduct quality check of the work of team members ◆ Contribute actively to project and team discussions ◆ Bring continuous process improvement and solution-oriented approach toward work

• Client Communication: ◆ Conduct written (and verbal communication) with clients to update on project progress and resolve queries ◆ Conduct client walkthrough for reports/analysis prepared

• Other: ◆ Liaison with the Contify platform team to report issues/suggest enhancement measures ◆ Contribute towards organization in the form of internal initiatives

Responsibilities:

• Design and implement real-time applications on ARM processors interfacing with multiple sensors in C++

• Participate in the team's software processes, including: requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements

• Debug complicated issues as they arise during product development

Responsibilities:

• Perform process set-up and optimization, data analysis and interpretation to identify trends, patterns, and potential issues. Perform DFM analysis. Implement improvement in the manufacturing process for yield and product quality.

• Collaborate with hardware engineer and CM to install machine, perform machine/process validation, establish work procedures, and machine calibration and maintenance.

• Collaborate with cross-functional teams, photonic test engineer, manufacturing, IT, and quality assurance, to troubleshoot issues and improve product performance.

• Collaborate with manufacturing to ensure product delivery on time.

• Collaborate with Aeva engineering team and CM to maintain manufacturing execution system (MES) software interfaces to streamline the testing and data collection process.

Education Requirements:

• Completed a Master's degree in Computer Science, Mathematics, or a related field, with a published paper in a respectable journal or conference.

Experience Requirements:

• at least 3 years of experience working with computer vision models.

Responsibilities:

• Develop your SOTA: Our team is a pioneer in adversarial AI research with numerous studies under our belt. We will guide your research, development, and implementation of state-of-the-art (SOTA) models and techniques.

• Research and Development: Conduct research on adversarial attack and defense techniques for computer vision models. Explore state-of-the-art methods and propose innovative solutions.

• Collaboration: Work closely with team members, participate in brainstorming sessions, and contribute to the team's success.

• Generative Vision: You will help with the research and development of new generative vision pipelines, tackling various modalities and challenges.

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning, particularly in object detection and image classification.

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment.

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions.

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques.

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Education Requirements:

• PhD or equivalent research experience

Other Requirements:

• Strong background in CV, ML, AI, computer science, engineering or related fields

• Track record of applied research in computer vision

Responsibilities:

• Research and develop algorithms for computer vision-based problems including scene understanding and anomaly detection

• Develop performance and quality metrics for ML models and systems

• Collaborate with software engineers and product owners on system architecture, design and production code, especially where ML models are used

• Keep up to date with state of the art in ML and CV

• Mentor younger scientists