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Machine Learning

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1,452 jobs found.

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🔥 Sr. Software Engineer, Yahoo! Mail

Posted about 1 hour ago

📍 United States of America

💸 128250.0 - 266875.0 USD per year

🔍 Software Development

🏢 Company: careers

🔧 Requirements

MS in Computer Science or related field with strong understanding of the fundamentals including Data Structures, Algorithms
Experience in algorithm design and ML/AI
Experience working with languages such as Java or Python
Familiarity with data mining, text processing and classification algorithms
Demonstrated problem solving skills and taking initiatives
Great communication skills, joy in helping people, ability to remain friendly and constructive under stress
2+ years experience working with Applied ML
5+ years of experience in the industry working with Backend Systems

💡 Responsibilities

Research and develop innovative algorithms for information retrieval, processing and ranking.
Build, enhance, optimize and deploy tools, workflows, systems to process Yahoo mail data for extraction relevant information.
Be responsible for improving information extraction using machine learning and natural language processing techniques.
Participate in agile development to add incremental value to the business.
Collaborate with Research scientists to build M/L models for classification, extraction and recommendations in automated fashion.

Backend Development Python Software Development SQL Agile Apache Hadoop Data Analysis Data Mining Hadoop Java Machine Learning PyTorch Algorithms Data Structures Tensorflow RESTful APIs Data modeling

Posted about 1 hour ago

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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 Entertainment Web3 Metaverse

🔧 Requirements

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.

💡 Responsibilities

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.

AWS Backend Development Node.js Python Cloud Computing Frontend Development GCP Machine Learning MySQL React.js Unity3D Algorithms Azure Blender Data science Unreal engine Problem Solving Scripting

Posted about 1 hour ago

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🔥 AI/Prompt Engineer (f/m/x)

Posted about 3 hours ago

📍 Germany

🧭 Full-Time

🔍 Software Development

🏢 Company: doinstruct

🔧 Requirements

At least 2 years of intensive exposure to LLMs
Strong backend development skills with a focus on Node.js
Ability to integrate APIs, deploy scalable solutions, and work effectively with cloud platforms

💡 Responsibilities

Design, build, and improve AI-driven tools
Write, refine, and improve prompt chains
Implement prompt-based solutions into our AWS infrastructure
Join various feature teams to support AI projects
Share AI best practices and improve the company’s AI capabilities through cross-functional collaboration

AWS Backend Development Node.js Artificial Intelligence Cloud Computing Machine Learning API testing CI/CD RESTful APIs

Posted about 3 hours ago

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🔥 Director of Product, Core Product

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 220000.0 - 240000.0 USD per year

🔍 Healthcare Technology

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 10 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

7+ years of product management experience, with at least 3 years in a leadership role managing product managers.
3+ years of experience in healthcare technology, revenue cycle management, or clinical documentation.
Strong understanding of technical concepts and ability to collaborate closely with engineering teams and data science teams on advanced AI.
Deep experience engaging directly with customers and translating insights into impactful product decisions.
Proven ability to define a long-term product vision while delivering measurable short-term results.
Track record of delivering high-impact products with exceptional project management and prioritization skills.
Experience mentoring and developing product teams, fostering a collaborative and high-performance culture.

💡 Responsibilities

Define and articulate a compelling vision and strategy for SmarterPrebill
Lead, mentor, and empower a team of 3-5 Senior Product Managers, fostering a culture of innovation, collaboration, and accountability.
Develop and maintain a comprehensive product roadmap that reflects customer needs, market trends, and technical feasibility. Prioritize features and initiatives to deliver measurable impact.
Partner with engineering, design, and data science teams to guide product development from concept to launch. Ensure alignment across cross-functional teams.
Build strong relationships with healthcare providers and key stakeholders to understand pain points, workflows, and unmet needs. Translate insights into actionable product decisions.
Leverage data, analytics, and user feedback to assess product performance, identify opportunities, and iterate on solutions to deliver continuous value.
Collaborate with marketing, customer success, and sales teams to define product positioning, develop messaging, and support successful product launches

Leadership Agile Artificial Intelligence Data Analysis Machine Learning People Management Product Management Cross-functional Team Leadership Product Development Product Analytics Data science Strategic Management RESTful APIs Mentoring Stakeholder management Customer Success

Posted about 4 hours ago

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🔥 AI Solution Architect- expert level and fully global remote

Posted about 4 hours ago

📍 London, England, United Kingdom, United States, Tokyo, Japan, Australia

🧭 Contract

🔍 Food Tech

🏢 Company: Cookpad Ltd

🔧 Requirements

7+ years experience, including 3+ years in AI/ML and Generative AI.
Proven track record in designing, developing, and deploying customer-facing Generative AI solutions.
Strong Python programming skills, with expertise in software design and optimization.
Hands-on experience in MLOps pipelines, AWS cloud services, and DevOps practices.
Proficiency in agentic and multi-agent AI systems, enabling autonomous reasoning, decision-making, and collaboration between AI agents.
Experience with agentic LLM frameworks (E.g. LangChain, LlamaIndex, Crewai) for enhancing AI-driven workflows.
Deep expertise in AWS services (SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3).
Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
Strong understanding of scalable, secure, and high-performance AI deployment strategies.

💡 Responsibilities

Translate AI requirements into scalable, enterprise-grade architectures.
Design and implement Generative AI solutions, including LLMs, RAG pipelines.
Architect and deploy AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, and S3.
Ensure AI models and solutions meet security, privacy, and compliance standards.
Define and implement best practices for AI model deployment, orchestration, and monitoring.
Stay updated with the latest advancements in AI and related technologies and apply them to improve existing solutions.
Design, develop, and deploy Generative AI models for text, image, and conversational applications.
Oversee the development and deployment of intelligent bots, ensuring they meet functional and performance requirements.
Utilize MLOps pipelines to streamline model training, evaluation, and deployment in production.
Implement and optimize vector databases (e.g., Pinecone, FAISS) for efficient AI retrieval and storage.
Work with agentic LLM frameworks such as Langchain and LlamaIndex to enhance AI capabilities.
Leverage AWS AI/ML services (EC2, S3, Lambda, SageMaker, RDS, Redshift) for scalable deployment of AI solutions.
Utilize containerization technologies (Docker, Kubernetes) and CI/CD pipelines for machine learning model deployment.
Design and implement AWS-based deployment strategies, ensuring scalability, security, and performance optimization.

AWS Docker Python Software Development SQL Artificial Intelligence Cloud Computing DynamoDB Kubernetes Machine Learning Software Architecture Algorithms Amazon Web Services Data Structures RDBMS REST API CI/CD DevOps NodeJS

Posted about 4 hours ago

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🔥 GTM Engineer

Posted about 5 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Atlan

🔧 Requirements

5+ years in revenue operations, growth, or similar roles with a proven track record of scaling GTM motions and driving measurable business outcomes.
Strong foundation in modern GTM tools, APIs, data enrichment platforms etc.
Hands-on experience with modern GTM stack including CRMs, MAPs, enrichment tools, and AI platforms, with proven ability to integrate and optimize these tools for maximum impact.

💡 Responsibilities

Leverage AI to supercharge our GTM engine - from automating workflows to delivering magical customer experiences that accelerate our growth.
Become a champion for AI within the GTM team, exploring and evaluating new AI tools and techniques to enhance our GTM strategies and keep us at the forefront of innovation.
Design, build, and optimise automated workflows across our marketing, sales & customer success technology stacks, with a focus on integrating and leveraging cutting-edge AI-powered tools and platforms.
Build a culture of systematic experimentation - design scalable systems, implement testing frameworks, and continuously optimise our GTM motion through data-driven insights.
Drive cross-functional impact - collaborate with teams across marketing, sales, and customer success to understand challenges and build AI-powered solutions that scale

SQL Artificial Intelligence Data Analysis Machine Learning API testing Data engineering RESTful APIs Data visualization CRM Data modeling Scripting A/B testing

Posted about 5 hours ago

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🔥 Technical Lead for Code Reviewer Project (worldwide remote, work anywhere)

Posted about 5 hours ago

📍 Spain, Poland, Georgia, Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Cloudlinux

🔧 Requirements

Proven ability to take a project from concept through to production, including requirements gathering, design, testing, and maintenance.
Experience with Jira (or similar) for task management, sprint planning, and reporting.
Comfortable with iterative development, frequent releases, and fast feedback cycles.
Proficiency in Git-based workflows (GitHub, GitLab, or Gerrit) and CI/CD setups (Jenkins, etc.).
Strong knowledge of how to integrate automated checks and tests into pipelines.
In-depth understanding of what makes a code review effective, including detection of security vulnerabilities, logical errors, performance bottlenecks, and style issues.
Familiarity with AST-based or control-flow techniques to enable deeper analysis.
Strong experience with Python and hands-on experience in other programming languages (preferably C/C++/PHP/Go).
Awareness of common design patterns, best practices, and typical pitfalls across various tech stacks.
Ability to independently explore new libraries or methods—especially around static analysis and potential AI-based enhancements—to continually improve the reviewer.

💡 Responsibilities

Design and implement a system capable of reviewing code across multiple languages and projects.
Incorporate advanced code analysis techniques (e.g., AST parsing, control flow analysis) to identify bugs, style inconsistencies, and potential security and performance issues.
Ensure the reviewer can be extended or customized based on evolving requirements from diverse teams.
Employ agile methodologies (Scrum/Kanban) to plan, track, and iterate on new features.
Integrate seamlessly with CI/CD pipelines (GitHub, GitLab, Gerrit, Jenkins), making the reviewer easily adoptable by various R&D teams.
Collaborate with DevOps to ensure smooth deployment and maintenance.
Define and maintain code review standards, including style guidelines, security checks, and performance considerations.
Work with development teams to refine pull/merge request processes, fostering a culture of high-quality code.
Provide comprehensive review feedback and assist in automating repetitive checks to streamline manual review efforts.
Engage with stakeholders and engineering teams to gather feedback and requirements.
Communicate progress clearly and adapt the solution based on iterative input.
Advocate for best practices, teaching others how to maximize the value of automated reviews.
Investigate emerging tools and methodologies in static analysis, linting, and machine learning for potential integration.
Prototype new features or approaches including AI/LLM usage to for code reviewing and unstructured data handling.

Docker Leadership Project Management Python Software Development SQL Agile Design Patterns Git Jenkins Kubernetes Machine Learning C++Jira Cross-functional Team Leadership Algorithms Data Structures REST API Communication Skills Analytical Skills CI/CD Agile methodologies RESTful APIs Linux DevOps Microservices Research skills Prototyping Software Engineering Debugging

Posted about 5 hours ago

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🔥 Google Cloud Architect

Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 AI & Data

🏢 Company: Datatonic

🔧 Requirements

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.

💡 Responsibilities

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.

Leadership Project Management Python SQL Agile Cloud Computing Data Analysis ETL GCP Java Kubernetes Machine Learning Software Architecture Tableau Data engineering REST API Communication Skills Analytical Skills Collaboration Problem Solving Agile methodologies Mentoring Written communication Sales experience Data visualization Stakeholder management Data modeling

Posted about 5 hours ago

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🔥 AI Intern - US (Summer 2025)

Posted about 6 hours ago

📍 United States

🧭 Internship

💸 3000.0 USD per month

🔍 Software Development

🏢 Company: AbleRental Property Management Real Estate

🔧 Requirements

Bachelor’s degree (can be in progress) in a relevant field, such as Computer Science, Data Science, Business, or a related discipline.
Desire to be entrepreneurial and explore new ideas at the cutting edge.
Familiarity with AI concepts (agents, generative models, etc.) and tools such as LangChain, Cursor, or CrewAI.
Understanding of fundamental software engineering concepts and tools, including GitHub.
Strong understanding of and experience with programming languages & model querying techniques (e.g., Python, prompt engineering, etc.).
A strong interest in artificial intelligence and technology-driven innovation.
Basic project management skills, including organization, planning, documentation, and managing multiple stakeholders.
Effective communication and interpersonal skills, with the ability to collaborate in a team-oriented environment.
Strong problem-solving skills and a keen ability to analyze and synthesize information.

💡 Responsibilities

Assist in the development and delivery of AI projects, helping our engineers and researchers deliver on AI initiatives aligned with our strategic business goals.
Conduct research and analysis on industry trends, emerging technologies, and AI applications to inform client solutions.
Support the design and implementation of AI projects, including data preparation, model selection, and deployment.
Collaborate with cross-functional teams to ensure seamless delivery of AI solutions.
Manage aspects of projects to ensure timely delivery, tracking milestones, and ensuring alignment with internal stakeholders.
Participate in workshops, training sessions, and meetings to facilitate AI knowledge transfer and adoption.
Continuously learn and adapt to new AI tools, techniques, and methodologies to enhance your technical skills.

Project Management Python Artificial Intelligence Data Analysis Machine Learning Communication Skills Analytical Skills

Posted about 6 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

🔧 Requirements

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

💡 Responsibilities

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.

AWS Project Management Python SQL Agile Artificial Intelligence Cloud Computing Data Analysis GCP Kubernetes Machine Learning Salesforce API testing Azure Data engineering Prometheus REST API Communication Skills CI/CD Mentoring DevOps Terraform Presentation skills Microservices JSON Data visualization Strategic thinking Data modeling Data management

Posted about 6 hours ago

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