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🔥 Senior Machine Learning Engineer
Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 133000.0 - 151000.0 USD per year

🔍 Software Development

🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 8 months agoMedia and EntertainmentWeb3Metaverse

  • MS or PhD in Computer Science, Machine Learning, or a related field.
  • 6+ years in machine learning, focusing on systems for procedural content generation and working with LLMs to create scalable virtual environments.
  • Proficient in 3D graphics programming and procedural content generation, handling assets like models, textures, shaders, and particle systems.
  • Experience in both frontend (React, Three.js, WebGL) and backend (Node.js, MySQL) development, enabling seamless integration of AI-driven procedural generation into interactive 3D worlds.
  • Ability to optimize complex systems for performance and scalability, ensuring AI-powered world-building systems perform seamlessly with large datasets.
  • Skilled in scripting languages such as Python, Bash, or JavaScript, enabling automation of key tasks and workflows in the world-building process.
  • Experience working in cross-disciplinary teams, mentoring, and leading by example to promote best practices in world-building, procedural generation, and AI integration.
  • Strong analytical skills to tackle complex technical challenges in 3D graphics, procedural content generation, or system performance.
  • Commitment to continuous learning and integrating the latest developments in AI, machine learning, 3D graphics, and procedural generation into the team's work.
  • Develop systems utilizing LLMs to autonomously create 3D environments, handling assets like models, shaders, and particle systems.
  • Collaborate with technical artists and engineers to build pipelines ensuring seamless integration of diverse 3D assets into the procedural generation process.
  • Ensure world-building systems are scalable and performant, capable of handling large datasets and multiple interactions while maintaining high-quality environments.
  • Work with engineers, data scientists, technical artists, and designers to implement innovative solutions for dynamic virtual worlds, ensuring technical integration across teams.
  • Lead the adoption of emerging technologies in generative AI and procedural content creation, integrating the latest advancements into our platform.
  • Address complex technical challenges related to performance, AI systems, asset rendering, and procedural generation pipelines to ensure efficient world-building processes.

AWSBackend DevelopmentNode.jsPythonCloud ComputingFrontend DevelopmentGCPMachine LearningMySQLReact.jsUnity3DAlgorithmsAzureBlenderData scienceUnreal engineProblem SolvingScripting

Posted about 1 hour ago
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🔥 Senior Infrastructure Engineer
Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

💸 180000.0 - 190000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

  • Hands-on experience with Google Cloud Platform (or other major cloud providers), including resource management, cost optimization, and security.
  • Comfort writing automation scripts (e.g., Bash, Python, Go) to streamline infrastructure tasks and improve efficiency.
  • Proficiency with Docker and Kubernetes (including local development tools such as Docker Compose, Minikube, or K3s).
  • Experience with Terraform (or similar IaC tools) to deploy and maintain complex infrastructure in a repeatable, scalable manner.
  • Familiarity with monitoring, logging, and alerting best practices, ensuring systems are both observable and scalable.
  • Familiarity with load testing, performance profiling, and capacity planning to ensure systems remain responsive under growing demand.
  • Proven track record of designing and implementing continuous integration and deployment pipelines that boost developer productivity.
  • Solid grasp of core networking concepts (DNS, routing, load balancing) and a track record of securing systems at scale (e.g., IAM, SSL, firewalls).
  • Comfort implementing security measures and best practices to protect sensitive data and systems.
  • Own and optimize our Google Cloud Platform (GCP) resources, ensuring our infrastructure remains secure, scalable, and cost-effective.
  • Improve developer productivity by optimizing our local development environments and establishing best-in-class CI/CD pipelines.
  • Collaborate with product and data engineering teams to provide guidance on observability, performance, and scalability best practices, while ensuring our Kubernetes deployments are streamlined and resilient.

DockerPythonSQLBashCloud ComputingGCPKubernetesGoREST APICI/CDLinuxDevOpsTerraformMicroservicesJSONAnsible

Posted about 2 hours ago
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🔥 Google Cloud Architect
Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 AI & Data

🏢 Company: Datatonic

  • Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
  • Hands-on experience in designing and implementing large-scale big data cloud architectures.
  • Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
  • Strong analytical skills with a focus on innovation and technical excellence.
  • Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
  • Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.
  • Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
  • Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
  • Proficiency in working with container technologies and leveraging them effectively in projects.
  • Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
  • Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.
  • Google Cloud Architect certification.
  • Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.
  • Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
  • Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.
  • Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
  • Contribute to the design and implementation of enterprise-scale Data and AI projects.
  • Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
  • Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
  • Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
  • Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
  • Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
  • Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.
  • Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
  • Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
  • Guide team members, fostering a culture of growth and innovation.

LeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLGCPJavaKubernetesMachine LearningSoftware ArchitectureTableauData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringWritten communicationSales experienceData visualizationStakeholder managementData modeling

Posted about 5 hours ago
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🔥 Lead Java Engineer for an eCommerce & Distribution company
Posted about 5 hours ago

📍 United Kingdom, Germany, Poland, Czechia

🧭 Full-Time

🔍 ECommerce & distribution

🏢 Company: RemotivateJobs

  • 10+ years of experience in backend development, with a focus on Java (Spring), software and system architecture.
  • 5+ years of leadership experience managing development teams (hiring, training, setting KPIs, running sprints, and ensuring delivery).
  • Strong architectural and system design expertise, including experience in improving and scaling backend infrastructure.
  • Proficient in Cloud (GCP ideally), Microservices & event-driven architecture, Docker and Infrastructure as code.
  • Deep understanding of business logic in eCommerce, ensuring that technical decisions align with company goals.
  • Experience with auditing and optimizing backend systems, implementing best practices to enhance efficiency and performance.
  • Hands-on coding experience, with the ability to review code, conduct check-ins, and improve development processes.
  • Excellent communication skills, with the ability to lead discussions, challenge inefficiencies, and drive improvements within the team.
  • Comfortable working in a fast-paced, results-driven environment, prioritizing output over perfectionism.
  • Experience with cloud infrastructure (GCP) and setting up DevOps processes.
  • Leading the software development team (10 engineers) by managing sprints, assigning tasks, and ensuring effective collaboration.
  • Overseeing backend architecture and making high-level decisions to improve system efficiency and scalability.
  • Conducting regular code reviews and performance audits, identifying and resolving bottlenecks.
  • Improving development workflows, setting clear KPIs, and driving faster delivery cycles.
  • Collaborating with the CEO and stakeholders to align technical development with business objectives.
  • Ensuring smooth communication across the team, encouraging open discussions and knowledge sharing.
  • Driving continuous improvement, identifying weaknesses in existing processes and implementing better solutions.

Backend DevelopmentDockerLeadershipProject ManagementSQLCloud ComputingGCPJavaKubernetesPeople ManagementRabbitmqSoftware ArchitectureSpringActiveMQJava SpringMavenREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesDevOpsMicroservicesJSONTeam managementStrategic thinking

Posted about 5 hours ago
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🔥 AI Strategist - Digital Velocity
Posted about 6 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

  • Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
  • Previous direct customer consulting experience or equivalent understanding of role responsibilities
  • Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
  • Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
  • Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
  • High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
  • Understanding of prompt engineering best practices
  • High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
  • Comprehensive understanding of agile development paradigms
  • Demonstrated ability to speak to business value of AI solutions
  • Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
  • Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
  • Ability to understand, remember, and apply oral and/or written instructions or other information.
  • Ability to organize thoughts and ideas into understandable terminology.
  • Ability to multitask, organize and prioritize.
  • Ability to apply common sense while engaging with customers and providing solutions.
  • Ability to understand and follow complex instructions and guidelines.
  • Previous consulting experience a plus
  • Accurately design and scope AI professional services engagements.
  • Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
  • Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
  • Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
  • Coaches and mentors team members to improve their technical, consulting, and sales skills.
  • Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
  • Serves in the customer escalation path for technical problem resolution.
  • Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
  • Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
  • Advises team members and sales prior to customer calls and/or sales strategy sessions.
  • Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
  • Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
  • Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
  • Develops presentation content for the team.
  • Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
  • Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
  • Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
  • Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
  • Shares best practices and tactics for enhancing profitability and closing deals.
  • Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
  • Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
  • Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
  • Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
  • Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWSProject ManagementPythonSQLAgileArtificial IntelligenceCloud ComputingData AnalysisGCPKubernetesMachine LearningSalesforceAPI testingAzureData engineeringPrometheusREST APICommunication SkillsCI/CDMentoringDevOpsTerraformPresentation skillsMicroservicesJSONData visualizationStrategic thinkingData modelingData management

Posted about 6 hours ago
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🔥 Sr. Machine Learning Researcher
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 175000.0 - 230000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

  • Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation.
  • Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
  • Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience.
  • Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.
  • A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.
  • Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.
  • Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.
  • Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.
  • Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.
  • Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

AWSPythonCloud ComputingGCPKubeflowKubernetesMachine LearningNumpyPyTorchAlgorithmsData scienceData StructuresREST APITensorflow

Posted about 7 hours ago
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🔥 Cloud Data Engineer (Mid-Level) - (25031301)
Posted about 7 hours ago

📍 United States

🧭 Contract

💸 91520.0 - 120000.0 USD per year

🏢 Company: Third Eye Software👥 11-50ConsultingInformation TechnologyRecruitingSoftware

  • 3+ years of experience in data engineering
  • Advanced expertise in SQL
  • Experience with Google Cloud Platform (GCP)
  • Hands-on experience with ETL/ELT processes and data pipeline development
  • Proficiency in Python
NOT STATED

PythonSQLETLGCPJenkinsNumpyData engineeringPandas

Posted about 7 hours ago
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🔥 Geospatial Software Engineer - Remote
Posted about 19 hours ago

📍 United States

🔍 Space Data Analytics

🏢 Company: Hydrosat👥 11-50💰 $18,000,000 Series A almost 2 years agoGeospatialArtificial Intelligence (AI)Information ServicesAgTechBig DataMachine LearningAerospaceAnalytics

  • 5+ years of experience in a software engineering role
  • Expert knowledge of Python
  • Expert knowledge of GDAL, OpenCV or other open source image processing libraries
  • Experience with remote sensing, photogrammetry or GIS data processing at high scale
  • Experience building production software systems for cloud computing deployments such as AWS, or Google Cloud
  • Build scalable, automated data processing pipelines that produce scientific data products from raw sensor data collected by our satellites
  • Optimize image processing pipelines to ensure efficient usage of computing resources
  • Collaborate with Imaging System Engineers and CalVal experts to implement new functionality in image processing pipelines
  • Operationalize image quality metrics to create internal and external facing metadata
  • Assess imagery products to ensure they meet accuracy and quality standards
  • Identify and troubleshoot pipeline and imagery anomalies, such as sensor artifacts, calibration issues, and geolocation discrepancies

AWSPythonCloud ComputingGCPImage ProcessingOpenCVAlgorithmsData engineeringCI/CDRESTful APIsLinuxScriptingSoftware Engineering

Posted about 19 hours ago
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🔥 Solutions Architect, Data & AI - US-Based
Posted about 20 hours ago

📍 United States

🧭 Full-Time

🔍 AI/ML, Data

  • 12+ years of experience in AI/ML, data engineering, or cloud architecture, with at least 3+ years in AI/ML-focused solution architecture.
  • Strong background in AI/ML, including predictive modeling, NLP, deep learning, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
  • Expertise in designing AI/ML solutions in cloud environments (AWS, GCP, Azure).
  • Proficiency in AI/ML development frameworks and tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
  • Experience with big data technologies (Spark, Kafka, Snowflake, Databricks, etc.).
  • Strong understanding of MLOps best practices and model deployment strategies.
  • Track record of leading technical pre-sales efforts and architecting client solutions.
  • Ability to communicate complex AI/ML concepts to both technical and non-technical stakeholders. Passion for AI innovation and ability to drive thought leadership in the field.
  • Outstanding written and verbal communication skills.
  • Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.
  • Design and implement AI and data-driven solutions that drive business impact.
  • Collaborate with clients to assess requirements, define technical strategies, and develop solution roadmaps.
  • Serve as a subject matter expert in AI/ML, data engineering, and analytics, guiding internal teams and client stakeholders.
  • Leverage AI techniques, including Generative AI, NLP, and deep learning, to drive innovation in client solutions.
  • Design solutions that leverage cloud platforms (AWS, GCP, Azure) and modern data stack technologies.
  • Support sales teams by providing technical expertise, developing proposals, and presenting solutions to prospective clients.
  • Work cross-functionally with Toptal’s Sales, Marketing, and Talent Operations teams to align AI and data strategies with market demand.
  • Stay up-to-date with the latest AI/ML advancements and emerging technologies to enhance solution offerings.

AWSPythonSQLArtificial IntelligenceCloud ComputingGCPKafkaKubeflowMachine LearningPyTorchSnowflakeAzureData engineeringREST APISparkTensorflowData modelingData analytics

Posted about 20 hours ago
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🔥 Staff Backend Engineer
Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 170000.0 - 200000.0 USD per year

🔍 Software Security

🏢 Company: Red Cell Partners👥 11-50Financial ServicesVenture CapitalFinance

  • BS or higher, in computer science, software engineering, or a related field
  • 5+ years of experience in backend development, with a proven track record of building scalable, production-grade systems to solve complex problems
  • Proficiency in programming languages such as Python and Go, with a strong ability to write clean, maintainable code
  • Experience developing and optimizing systems for data processing and providing REST APIs for both inter-service communication and user-facing, latency-sensitive frontend applications
  • Hands-on experience with asynchronous task queues (for example, Celery, RabbitMQ, Redis) or event-driven architectures (for example, Kafka, AWS SNS/SQS)
  • Hands-on experience designing and debugging Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, with a focus on scalability, security, and cost efficiency
  • Strong knowledge of modern software engineering practices, including CI/CD pipelines, infrastructure as code (for example, Terraform, AWS CloudFormation) and container orchestration (for example, Docker, Kubernetes)
  • Proficiency in relational and NoSQL databases (for example, PostgreSQL, DynamoDB, Redis)
  • Exceptional written and verbal communication skills, with the ability to effectively collaborate with team members and stakeholders
  • Strong desire to build impactful products
  • Architect, design, build, maintain, and enhance our data platform, backend infrastructure, and the APIs used by us and our customers
  • Build and maintain data pipelines to process structured and unstructured data from diverse sources and internal databases
  • Continually refine and suggest modifications and additions to our technical stack
  • Develop, scale, and optimize our machine learning infrastructure
  • Collaborate with cross-functional teams, partners, and customers to understand needs, offer insights, and tailor systems to meet business goals
  • Support and contribute to code reviews, ensuring adherence to coding standards and best practices
  • Mentor the engineering team as the company grows, fostering a culture of innovation, collaboration, and technical excellence

AWSBackend DevelopmentDockerPostgreSQLPythonSQLCloud ComputingDynamoDBETLGCPKafkaKubernetesMachine LearningAPI testingGoREST APIRedisNosqlCI/CDTerraformMicroservicesSoftware Engineering

Posted about 20 hours ago
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