Full-Stack Developer Jobs

Machine Learning

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🔥 Senior Data Scientist- Brand Experience, remote across ANZ

Posted 1 day ago

📍 Australia, New Zealand

🔍 Software Development

🔧 Requirements

Drive impact with data
Excel in core data science skills
Demonstrate key soft skills
Bring additional technical expertise
Have a strong analytical foundation
Understand the dynamics of tech companies
Have hands-on experience with large-scale data

💡 Responsibilities

Uncovering strategic insights
Designing and analyzing experiments
Defining and influencing with metrics
Providing data for decision-making

Python SQL Data Analysis Data Mining Machine Learning Numpy Tableau Product Analytics Algorithms Data science Data Structures Pandas Communication Skills Analytical Skills Data visualization Data modeling Data analytics A/B testing

Posted 1 day ago

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🔥 Backend Software Engineer - Gen AI, Design Generation Experience (open remote across ANZ)

Posted 1 day ago

📍 Australia, New Zealand

🔍 Design

🔧 Requirements

Commercial experience in backend software development (Java or similar OO language)
Strong interest in deep learning, generative AI, and solving real design generation challenges
Grounded in CS fundamentals—concurrency, multithreading, data structures, system design
Collaborate well with others and communicate effectively

💡 Responsibilities

Building systems to generate and edit designs, working closely with ML engineers, backend engineers, frontend engineers, designers, and PMs
Owning the full lifecycle of features from design docs and stakeholder alignment through implementation, testing, and maintenance
Staying across state-of-the-art advancements in deep learning and generative AI
Facilitating knowledge sharing and advocating for engineering needs with non-technical stakeholders
Modelling initiative and ownership in achieving goals and improving processes
Identifying cross-team collaboration opportunities to deliver new ideas and improvements

Backend Development Software Development Artificial Intelligence Java Machine Learning Data Structures RESTful APIs

Posted 1 day ago

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🔥 Product Manager (Evaluate)

Posted 1 day ago

📍 United Kingdom, Spain, Austria, Ireland

🧭 Full-Time

🏢 Company: Cytora

Agile Artificial Intelligence Data Analysis Machine Learning Product Management Cross-functional Team Leadership Product Development Data science Communication Skills RESTful APIs Negotiation Market Research Stakeholder management Strategic thinking

Posted 1 day ago

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🔥 Senior Software Engineer

Posted 2 days ago

🧭 Full-Time

🔍 Healthcare Technology

🔧 Requirements

5+ years of experience in software engineering, AI, or cloud-based application development.
Strong proficiency in Python for building and optimizing AI-powered applications.
Experience working in serverless environments (AWS Lambda, API Gateway, Step Functions).
Hands-on experience with AWS Bedrock and/or agentic application development.
Expertise in Terraform for infrastructure automation and cloud deployment.
Strong understanding of cloud-based AI/ML tools and best practices for integrating AI models into production.
Strong analytical and problem-solving skills, with a high level of judgment and creativity in designing innovative solutions.
Demonstrated ability to thrive in fast-paced, high-growth, and rapidly evolving environments.
Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions.

💡 Responsibilities

Design, develop, and optimize AI-driven applications using Python in a serverless environment (AWS Lambda, API Gateway, Step Functions).
Leverage AWS Bedrock and agentic application development frameworks to create intelligent, scalable solutions.
Design, deploy, and manage infrastructure as code with Terraform to automate cloud resource provisioning and ensure system reliability.
Work with data scientists, AI engineers, and product teams to integrate AI models into Bamboo Health’s products.
Ensure best practices for data security, cloud compliance, and performance optimization, especially in healthcare applications.
Stay updated on emerging AI, cloud, and automation technologies, helping shape Bamboo Health’s AI strategy.

AWS Docker Python SQL Cloud Computing Machine Learning Algorithms REST API Serverless Communication Skills CI/CD Mentoring Terraform

Posted 2 days ago

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🔥 Senior Analyst, Internal Audit - Data Scientist (L09)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Internal Audit

🏢 Company: careers

🔧 Requirements

Minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment or 5+ years of experience in lieu of a degree
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently

💡 Responsibilities

Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projects
Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.
Document analytic results and findings into audit workpapers.
Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.
Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.
Collaborate with Internal Audit teams to understand audit test objectives and data requirements.
Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.
Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

Python SQL Data Analysis Data Mining ETL Excel VBA Machine Learning Numpy SAS EG Tableau Algorithms Data engineering Data science Pandas RESTful APIs MS Office Data visualization Data modeling

Posted 2 days ago

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🔥 Technology Intern (Summer2025)

Posted 2 days ago

📍 United States

🧭 Internship

💸 20.0 USD per hour

🏢 Company: Worldly👥 11-50

🔧 Requirements

Strong verbal and written communication skills
Ability to work independently and as part of a team
Proactive problem-solving mindset
Analytical thinking and attention to detail
Ability to adapt to new tools and technologies quickly
Technology: Python, SQL, AWS, Git, TensorFlow, Tableau, Jupyter Notebooks

💡 Responsibilities

Developing and testing software solutions to improve system functionality and performance
Analyzing large datasets to identify trends, insights, and areas for improvement
Assisting in building and optimizing machine learning models for predictive analytics
Supporting data engineering tasks, such as data cleaning, transformation, and structuring
Researching and implement best practices in AI/ML, cybersecurity, or cloud infrastructure
Collaborating with engineers and data scientists to design scalable solutions
Writing clean, efficient code and documentation to support team projects
Conducting performance testing and debugging to improve application efficiency
Assisting in securing cloud-based systems and mitigating potential security risks
Presenting findings and recommendations to the technology team

AWS Python Software Development SQL Cybersecurity Git Machine Learning Tableau Data engineering Tensorflow

Posted 2 days ago

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🔥 Machine Learning Engineer, Forest Ecosystems

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 127000.0 - 158700.0 USD per year

🔍 Remote Sensing

🏢 Company: Planet👥 501-1000💰 $200,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff 9 months agoGeospatial Remote Sensing Big Data Aerospace Analytics Software

🔧 Requirements

Bachelor's or Master's degree in Computer Science or a related field
4+ years of professional experience in software engineering of which 2+ years of this is experience in developing and designing Computer Vision and/or Machine Learning technologies and systems
Proficiency with Python and machine learning frameworks like TensorFlow or PyTorch
Proficiency with software engineering best practices such as version control, testing and continuous integration/continuous deployment (CI/CD)
Experience with containerization and container orchestration tools like Docker, Kubernetes, Flyte or Temporal
Experience implementing model versioning, monitoring and observability systems

💡 Responsibilities

Establish and maintain machine learning operations workflows for regular data generation
Run experiments to evaluate machine learning algorithms
ML operations to maintain production algorithms (monitoring, training, benchmarking, deploying, etc)
Develop and implement automated testing to ensure the reliability of deployed models
Contribute to full-stack development, from backend and APIs to DevOps tasks and occasional front-end work

Docker Python Data Analysis Image Processing Kubernetes Machine Learning PyTorch Algorithms Tensorflow CI/CD RESTful APIs DevOps Software Engineering

Posted 2 days ago

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🔥 Graduate Summer Intern – AI/ML Software Developer

Posted 2 days ago

📍 United States

🧭 Internship

💸 43700.0 - 69900.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Software Development Data Analysis Image Processing Machine Learning Matlab C++Algorithms Data science Data Structures Data visualization

Posted 2 days ago

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🔥 Principal Engineer - Behaviors

Posted 2 days ago

📍 United States

💸 136500.0 - 266500.0 USD per year

🔍 Software Development

🏢 Company: Motional👥 1001-5000💰 Seed about 1 year ago🫂 Last layoff 11 months agoAutomotive Fleet Management Information Technology Autonomous Vehicles Software

🔧 Requirements

BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
In-depth understanding of common Machine Learning, Deep Learning algorithms, or ML Planning
Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Experience with PyTorch or other deep learning frameworks
Experience working with large data sets and deriving insights from data
Effectiveness at leading and executing large, complex technical initiatives

💡 Responsibilities

Define and influence the direction of the team, organization, and/or department.
Advise leaders on technology problems and solutions
Connect and drive business impact through technology solutions
Formulate problems, architect solutions, and design processes
Prototype, evaluate, implement, and iterate on solutions
Pioneer research into state of the art solutions and systems for autonomous vehicles
Productionize and deploy solutions onto autonomous vehicle fleets
Mentor and grow junior and experienced engineers and researchers
Help create and reinforce a culture of inclusion, innovation, and excellence

Python Software Development Data Analysis Image Processing Machine Learning PyTorch C++Algorithms Data Structures Software Engineering

Posted 2 days ago

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🔥 Senior Data Scientist | CARE

Posted 2 days ago

📍 Portugal

🔍 Wellness

🔧 Requirements

Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
Strong understanding of generative AI architectures, including transformers and attention mechanisms.
Experience in multi-agent systems and LLMs.
Strong problem-solving abilities, with a focus on experimental design and data analysis.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Have clear scientific thinking and a passion for integration R&D and cutting-edge technology into a product
Prior experience in Python and SQL a are mandatory requirements.

💡 Responsibilities

Understanding of state-of-the-art deep learning techniques, such as Transformers architectures and attention mechanisms, and knowledge of fine-tuning LLMs for enhanced model performance, using techniques such as LoRA, QLoRA, among others.
Design and implement structured function calling mechanisms within LLMs to enable dynamic interactions with APIs, databases, and retrieval-augmented generation (RAG) pipelines.
Craft clear instructions that help our models understand exactly what we need, creating reusable templates and testing against edge cases.
Preprocess, analyse, and curate high-quality datasets to train and fine-tune both embedding and generative models.
Develop robust evaluation frameworks to assess agentic AI performance, combining automated evaluation (LLM-as-judge), adversarial testing, human-in-the-loop evaluations, and custom behavioral metrics.
Establish monitoring systems that track LLM behavior in production, capturing key metrics around information retrieval, hallucinations, and latency.
Stay current with the latest research in generative AI,, share insights with the team, test promising approaches, and help make us better.
Collaborate with engineering teams to deploy models in scalable and efficient production environments.

AWS Python SQL Data Analysis Machine Learning PyTorch Data science

Posted 2 days ago

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