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Are you passionate about social media? Do you love leading the development of quality features for customers and solving complex challenges involving Big Data? Do you value WLB? If so, we are looking for you!
we are revolutionizing the way companies connect with their customers and audiences. We enable B2B marketers to fully manage and optimize social media to drive their businesses forward in a scalable and measurable way. Leading B2B organizations all over the world such as ACI Worldwide, Snowflake and Fujitsu are using us to improve and understand their social presence in order to make better business decisions. We are a global, fast-paced, and innovative start-up with offices in Ramat Gan, London, and Grand Rapids (MI).
Responsibilities
Manage all aspects of software development - from planning new features, designing software solutions, testing, and quality management to release and maintenance
Contribute and participate in technical discussions and architectural decisions
Control project execution, including estimations, quality control, and timely delivery
Lead, grow, mentor, and manage a team of talented software engineers
Work in close collaboration with Product, Design, and other Development teams

ThriveDX is seeking a dedicated and experienced QA Engineer to join our dynamic team. As a global leader in cybersecurity and digital skills training, we are committed to transforming lives and careers through our innovative educational programs. We are looking for a mid to senior-level QA professional who shares our passion for excellence and innovation.
Key Responsibilities: · Develop and execute comprehensive test plans and test cases. · Identify, document, and track software defects and ensure their resolution. · Collaborate with development teams to ensure quality throughout the software development lifecycle. · Perform manual and automated testing to ensure product quality and performance. · Continuously improve testing processes and methodologies. · Conduct regression and sanity testing to ensure quality and stability, particularly during version releases.

We are looking for an Algorithm Engineer to join our Analytical initiative in the development group. As an Algorithm Developer in this team, you will play a key role in taking complex machine learning models and productizing them. This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.

Position Intro:
Earnix is a leading provider of advanced pricing and rating solutions tailored to the insurance industry. Our cutting-edge software empowers actuaries and data scientists within insurance companies to make data-driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the insurance landscape, Earnix is at the forefront of revolutionizing the way insurers approach pricing and rating.

We are currently looking for an experienced R&D Team Lead.
In this role you will manage a multi-discipline team (Scrum) and be an integral part of our engineering team, providing technical leadership, mentoring, coaching, and guidance to multiple development activities.
You will be working with key stakeholders from the product and business units as well as software engineers to ensure proper delivery.
The ideal candidate will be a natural technical leader, combining strong management and technical skills, along with a history of success in high-growth B2B / B2B2C SaaS companies.
Responsibilities:
Lead a highly-skilled diverse team composed of both BE and FE developers
Project manage the teams; delivery to a successful release by tracking work, dependencies, and risks and taking corrective actions as necessary.
Collaborate with Product, Analytics, Ops, Architects and external partners to build products our customers would love to use on a daily basis
Hands-on attitude get into the technical details
Facilitate and support team members technical and career growth objectives through training, leadership opportunities, challenging work assignments, and focused mentorship.
Build the team by hiring the best engineers. This includes direct participation and delegation of all recruitment and hiring activities as needed.
Be the technical focal point for the team members.

We are looking for a highly motivated and experienced Chief Architect to join our R&D team.
This is an excellent opportunity to architect a large-scale infrastructure and employ state-of-the-art tools and techniques. Perform requirements shaping and mapping to architecture software components.
Responsibilities:
Build the product architecture together with all R&D teams interfaces, technology stack, deployment flowchart, and architecture process
Provide technical and methodology guidance to the teams
Be able to reduce complex problems into manageable pieces, define their interactions and communicate these concepts to all
Maintain a good cross-relationship
Understand and have an impact on integration processes

We are looking for an experienced computational chemist to join our team.
Responsibilities:
Support drug discovery projects with advanced data analysis and molecular modeling
Work in an interdisciplinary environment, developing and executing computational chemistry strategies to drive problem solving within the project
Apply chemoinformatic methods including structure-based and ligand-based drug design techniques for virtual screening, and lead optimization.
Develop AI/machine learning, statistical modeling and generative design tools for drug discovery

We are looking for an experienced data scientist with deep data science skills to join our team
Responsibilities:
Conduct algorithmic research, development and evaluation on various computational biology problems across the platform
Design the architecture and be highly involved in the implementation of our bioinformatics pipeline
Continuously keep up to date with the state of the art tools in bioinformatics and ML
Thoroughly evaluate dataset quality and biases
Help define the technological strategy of the company

We are looking for an experienced software & algorithm engineer to join our computational drug hunting team.
Responsibilities:
Design and build a scalable, complex backend infrastructure for our computational cloud platform
Advocate lean and mean solutions, aesthetic design, and architecture
Implement and improve algorithms in our bioinformatic pipelines
Conduct literature reviews for algorithms, bioinformatics methods and big data solutions, and continuously keep up to date with the state of the art
Help define the technological strategy of the company

We are looking for an experienced systems biologist with deep research skills to join our team and work closely with AI, research and clinical professionals.
Responsibilities:
Perform cross-discipline data analysis combining omics data, medical records and biology experiments to identify drug targets and biomarkers
Translate clinical unmet needs to biological research questions
Design translational biology experiments related to drug development
Use statistical modeling and machine learning tools to extract meaningful biological insights

If you're passionate about both sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join our team.

Responsibilities:

Lead the design, implementation, and management of CI/CD pipelines, automating various phases of software delivery.
Collaborate with software development and infrastructure teams to optimize the deployment and scaling of applications across multiple environments.
Develop and implement monitoring, logging, and alerting solutions to ensure system reliability and performance.
Mentor junior DevOps engineers and work collaboratively with cross-functional teams to improve DevOps practices.
Keep abreast of emerging DevOps tools and technologies, and lead efforts to incorporate them into existing processes.

We are looking for an excellent algorithm developer to join our studio team.
As an Algorithm Engineer, you will be researching and improving the algorithms pipelines using classical 3D reconstruction & Computer Vision as well as novel 3D & 2D deep learning techniques.