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🔥 Staff Software Engineer, Smart Trailer & Connected Equipment

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 157360.0 - 281000.0 USD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
12+ years of experience in software design, development, and algorithm related solutions with at least 4 of those years in an architect or leadership role
Demonstrated ability to ship production-quality software in a dynamic environment
Expertise working with web services at massive scale deployed on Cloud providers such as AWS or Azure
Is an expert in writing high quality, performant and maintainable code in a modern programming language
Excellent communication, collaboration, and problem-solving skills, with a demonstrated ability to manage technical discussions.

💡 Responsibilities

Bring a customer-focused mindset to all development, balancing the need to iterate quickly and deliver customer wins iteratively
Partner with the Engineering Manager to advocate for long-term technical health of our products alongside the product priorities.
Act as a force multiplier on the team by leveraging other engineers and personally exemplify how to deliver value at Samsara
Mentor other engineers by actively participating in design and implementation conversations across the team
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

AWS Backend Development Leadership Software Development SQL Cloud Computing Software Architecture Algorithms Data Structures Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Microservices Teamwork

Posted about 1 hour ago

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🔥 Senior Machine Learning Engineer

Posted about 2 hours ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
Solid experience in DS/ML engineering.
Proficiency in programming languages such as Python, Scala, or Java.
Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
Experience with Online Inference, APIs, and services that respond under tight time constraints.
Proficiency in English.

💡 Responsibilities

Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
Engineer domain-specific features that can enhance model performance and robustness.
Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

AWS Backend Development Docker Python SQL Amazon RDS AWS EKS Frontend Development Java Kafka Kubernetes Machine Learning MLFlow Airflow Algorithms Data engineering Data science REST API Nosql Pandas Spark CI/CD Terraform Scala Data modeling English communication

Posted about 2 hours ago

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🔥 Principal Machine Learning Scientist (UK Remote)

Posted about 2 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Education

🔧 Requirements

Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus.
A strong understanding of the math and theory behind machine learning and deep learning.
Software engineering background with at least 3-5 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite.
Excellent communication and teamwork skills.
Fluent in written and spoken English.

💡 Responsibilities

Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.
Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings.
Optimize models for scaled production usage.
Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Stay up to date with technology, make good technological choices, and be able to explain them to the organization.

AWS Docker Python Software Development SQL Bash Data Analysis Frontend Development Git Machine Learning Numpy PyTorch Algorithms API testing Data science Data Structures REST API CI/CD RESTful APIs JSON Data visualization

Posted about 2 hours ago

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🔥 Director, Data Science (REMOTE: US)

Posted about 3 hours ago

📍 United States

💸 228100.0 - 325800.0 USD per year

🔍 Software Development

🏢 Company: Veeam Software👥 5001-10000💰 $2,000,000,000 Secondary Market 4 months ago🫂 Last layoff about 1 year agoVirtualization Data Management Data Center Enterprise Software Software Cloud Infrastructure

🔧 Requirements

Extensive experience in Data Analytics, Business Intelligence, and Reporting, with a strong focus on statistical methods
Advanced expertise in AI and Machine Learning, including model development, deployment, and designing AI-driven solutions for business processes
Proficient in technologies like Python, R, and TensorFlow, with formal training in Data Science and hands-on experience in machine learning libraries and data visualization techniques
Expertise in SQL queries, Excel, PowerPoint, and SaaS systems like Salesforce
Strong analytical skills and experience in AI-driven solutions
Experience with cloud computing platforms such as AWS, Azure, and Google Cloud
Proven ability to lead AI projects and implement innovative technologies that drive business value
Strong problem-solving skills and ability to handle complex datasets to extract actionable insights
Effective communication skills to articulate complex analytical concepts to technical and non-technical stakeholders

💡 Responsibilities

Lead and mentor a team of data scientists in developing advanced machine learning models, dashboards, and visualizations for predictive analytics and decision-making
Conduct and supervise statistical analyses and experiment-driven predictive modeling to extract actionable business insights, leveraging cutting-edge machine learning algorithms
Present analytical findings and recommendations to stakeholders and leadership, utilizing AI for enhanced data interpretation and driving strategic decisions
Identify and leverage data opportunities with cross-functional teams through AI-powered data mining techniques and unstructured problem-solving
Lead the deployment of secure, scalable data science solutions using Python, R, SQL, and AI frameworks to address complex business challenges
Implement and monitor automated anomaly detection systems using machine learning to swiftly identify and address issues
Design comprehensive experiments to validate models, ensuring robust and reliable outcomes
Drive innovation by continuously exploring and integrating new AI technologies and methodologies
Optimize operational workflows using AI and machine learning techniques, enhancing efficiency and productivity
Develop and refine complex algorithms to solve unstructured problems, applying deep learning and other advanced techniques
Ensure robust data quality and integrity with AI-driven cleaning and validation procedures
Communicate complex analytical concepts in a clear and concise manner to stakeholders, fostering understanding and collaboration across teams

AWS Python SQL Cloud Computing Data Analysis Data Mining Machine Learning Numpy Cross-functional Team Leadership Algorithms Data science Pandas Tensorflow Data visualization Data modeling Data analytics SaaS PowerPoint

Posted about 3 hours ago

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🔥 AI Engineer

Posted about 3 hours ago

📍 United States

💸 92300.0 - 169950.0 USD per year

🔍 Software Development

🔧 Requirements

Strong foundation in AI/ML concepts, such as model evaluation
Experience working with production AI/ML models
Experience creating LLM-powered services and features
Ability to write and maintain high quality code (Python) that is used by others
Ability and desire to learn and implement new techniques, topics, and technologies

💡 Responsibilities

Using the latest AI technologies to power specific features in our products
Evaluating, experimenting, and iterating on LLM prompts, agent workflows, and traditional ML models
Monitoring and maintaining production models
Working with Product and other Engineering teams to integrate our AI/ML features and services into our customer-facing products
Providing tactical and strategic input on technical matters related to production AI/ML
Learning new AI/ML techniques and best practices, and subject matter related to FinQuery's business
Working on a small, focused, awesome team to deliver outsized value to our customers using the latest AI/ML technologies

AWS Python Software Development Artificial Intelligence Data Analysis Machine Learning Algorithms CI/CD RESTful APIs

Posted about 3 hours ago

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🔥 Software Engineer - Platform (Experienced)

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 190000.0 - 230000.0 USD per year

🔍 Software Development

🏢 Company: Dagster Labs👥 11-50💰 $33,000,000 Series B almost 2 years agoCloud Data Services Big Data Software

🔧 Requirements

5+ years of relevant software development experience
Expertise in the full software development lifecycle, from scoping and planning to delivery and iteration
Strong command of software system design, including scalability, third party integrations, and API design
Fluent in Python
Strong written and oral communication skills
Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications
Proven effectiveness at contributing to and executing as part of a team
Experience with using or supporting tools in the Modern Data Stack
Experience building and scaling services built on Amazon Web Services, Kubernetes & Postgres

💡 Responsibilities

Develop and optimize core backend systems and infrastructure components.
Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement.
Partner with cross-functional teams to align on product development needs and deliver impactful solutions.
Review designs and code to maintain high standards of quality and performance across the team.

AWS Backend Development Leadership PostgreSQL Python Software Development SQL Full Stack Development Kubernetes Software Architecture Algorithms API testing Data engineering Data Structures REST API Communication Skills Collaboration CI/CD Agile methodologies RESTful APIs Written communication Teamwork Data modeling Software Engineering

Posted about 4 hours ago

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🔥 Data Scientist

Posted about 6 hours ago

📍 South Africa

🔍 Finance & Technology

🏢 Company: JUMO👥 251-500💰 $120,000,000 over 3 years agoMobile Payments Big Data Financial Services Banking InsurTech FinTech

🔧 Requirements

A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, Software engineering, etc.).
Minimum 3-5 years of experience filling a similar role in Finance & Technology.
Strong data wrangling skills using SQL and coding in python.
Strong interest in software development.
An ability to interpret problems, and simplify them to their essentials.
The desire to innovate, be creative and work on challenging problems.
Experience using software development practices like git, CI/CD, etc.

💡 Responsibilities

Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights.
Use your coding skills to contribute to our team tooling and automate processes as much as possible.
Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience.
Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations.
Derive and communicate insights to our stakeholders.

AWS Python SQL Cloud Computing Data Analysis Git Machine Learning Algorithms Data science Analytical Skills CI/CD Problem Solving RESTful APIs Data visualization Financial analysis Data modeling Finance

Posted about 6 hours ago

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🔥 Senior Software Engineer I/II - BE (Smart Building Platform)

Posted about 7 hours ago

📍 Ahmadabad, India

🔍 Software Development

🏢 Company: Genea

🔧 Requirements

10-15+ years of hands-on software development experience.
Proven ability to lead projects independently with minimal supervision.
Experience with BMS ecosystem through communication protocols such as BACnet, Modbus, LonWorks, M-Bus and MQTT
Understand overall functionality of the HVAC systems (Central Plant, AHU, Unitary controls, etc.)
Strong understanding of object-oriented design (OO), algorithms, and data structures.
Experience with IoT and data-intensive applications.
Deep knowledge of Linux systems.
Hands-on expertise with Containers (Docker/Kubernetes), CI/CD, and feature flagging.
Experience with cloud platforms (AWS, Azure, or GCP).
Familiarity with Agile methodologies and rapid iterative development.
Technical expertise with Tridium Niagara platform will be added advantage.

💡 Responsibilities

Oversee software development projects, ensuring alignment with product roadmaps and company objectives.
Drive engineering strategy, architecture, and execution to scale backend systems efficiently.
Guide and mentor a large engineering team, fostering alignment, innovation, and a "getting things done" attitude.
Lead technology decisions in IoT devices, microservices, event-driven architectures, and big data solutions.
Host architecture discussions and design reviews to ensure best practices and scalability.
Maintain high code quality, scalability, maintainability, and readability.
Design, develop, test, and maintain robust, high-performance software in C#, .NET Core, JavaScript, C/C++, Docker, and Git.
Deliver RESTful APIs and microservices with best-in-class design and performance.
Implement detailed test plans and automated testing to ensure product reliability.
Integrate IoT devices with Building Management Systems (BMS) / HVAC Controls using BACnet/Modbus protocols.
Lead SCRUM teams, driving sprint planning, effort estimation, and execution.
Oversee team progress and sprint execution, ensuring timely delivery of features and technical debt resolution.
Implement data-driven metrics and assessments for engineering and operational excellence.
Promote a culture of continuous learning and technical excellence through coaching and mentorship.
Drive R&D initiatives, integrating AI/ML into products and the software development lifecycle (SDLC) for enhanced efficiency.
Foster cross-functional collaboration with product managers, designers, and business stakeholders to translate ideas into scalable solutions.
Leadership & Mentorship – Guide, mentor, and develop engineers at all levels, fostering a culture of continuous learning, innovation, and accountability.
Operational Excellence – Implement Agile best practices, set clear goals, and drive a data-driven approach to optimize team performance and execution.
Cross-Functional Collaboration – Partner with Product, Design, and Business stakeholders to align engineering efforts with company objectives and ensure seamless coordination.

AWS Backend Development Docker Leadership Project Management SQL Agile Data Analysis Data Mining Frontend Development Git IoT Javascript Kubernetes SCRUM Software Architecture C#Algorithms Data Structures .NET core Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring Linux DevOps Microservices Team management Software Engineering

Posted about 7 hours ago

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🔥 2025 - Digital Pathology Intern

Posted about 9 hours ago

📍 Canada

🧭 Internship

🔍 Software Development

🏢 Company: roche-ext

🔧 Requirements

Must be enrolled in a MSc/PhD program in Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field; PhD candidate preferred.
In-depth knowledge of machine learning and deep learning, with a focus on imaging data, especially biomedical imaging.
Experience with omic data analysis, large language model (LLM), multimodal analysis or Generative Adversarial Network (GAN) is advantageous.
Proficiency in parallelization, HPC cluster computing, Python, deep learning frameworks, and reproducible research practices (like Git).
Strong communication and collaboration skills, coupled with a passion for applying machine learning to healthcare.
Preferred experience includes publications in top conferences/journals and contributions to open source projects.

💡 Responsibilities

Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis, particularly with deep-learning and machine-learning approaches
Devise, implement and interpret deep learning algorithms to address selected research questions in digital pathology
Proactively share findings and knowledge to support the development of the wider Roche community
Help shape the direction of machine learning and artificial intelligence within Roche.

Python Git Image Processing Machine Learning Algorithms Data science

Posted about 9 hours ago

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🔥 Senior Full-Stack Engineer with AI Focus

Posted about 10 hours ago

📍 Bratislava, Kyiv

🧭 Full-Time

🔍 Software Development

🏢 Company: Altamira.ai

🔧 Requirements

5+ years in engineering, with a focus on code quality and best practices
3+ years of experience in building web solutions using (a) Node.js or (b) React with another programming language (Java, Python, .NET, etc.)
Proficiency in JavaScript/TypeScript
Strong analytical and problem-solving skills
Proactiveness and ability to drive improvements in projects
Comfortable working in Agile environments
Upper-intermediate English

💡 Responsibilities

Design scalable, modular, and maintainable architectures for AI-powered applications
Collaborate with product teams to understand requirements and translate them into technical solutions
Integrate APIs (e.g., OpenAI, Hugging Face) for NLP, image recognition, and other AI-driven tasks
Implement prompt engineering, embeddings, and vector databases (Postgres) for Retrieval-Augmented Generation (RAG)
Customize pre-trained AI models using tools like Hugging Face’s Transformers
Optimize server-side logic for efficient AI querying and integration
Work with unstructured data (text, images, etc.) and convert it into model-ready formats
Validate AI model outputs to ensure quality and business value

AWS Backend Development Docker Node.js PostgreSQL Python Software Development SQL Agile Artificial Intelligence Design Patterns Express.js Frontend Development Full Stack Development Git Javascript Machine Learning React.js TypeScript Algorithms API testing Data Structures Serverless Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Agile methodologies Microservices JSON Software Engineering Debugging

Posted about 10 hours ago

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