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🔥 AI Engineer (Associate) - Remote

Posted 1 day ago

📍 United States, Canada

💸 100000.0 - 125000.0 USD per year

🏢 Company: huroncareers

🔧 Requirements

Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

💡 Responsibilities

Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

AWS Backend Development Docker Python Software Development SQL Cloud Computing Data Analysis Flask Frontend Development Kubernetes Machine Learning PyTorch Algorithms API testing Azure Data engineering Data science FastAPI Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Adaptability Teamwork JSON Data modeling Data management Debugging

Posted 1 day ago

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🔥 Sr. Machine Learning Research Scientist

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Healthcare AI

🏢 Company: Rad AI👥 101-250💰 $60,000,000 Series C 4 months agoArtificial Intelligence (AI)Enterprise Software Health Care

🔧 Requirements

MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent practical experience
2+ years of post-degree experience building NLP models in industry or academia
Strong experience with transformer architectures and LLMs (e.g., fine-tuning, prompt engineering)
Proficiency with Python and deep learning frameworks like PyTorch
Familiarity with HuggingFace or similar NLP libraries
Experience deploying models in production settings

💡 Responsibilities

Design, train, and deploy sophisticated NLP models for clinical reasoning, generation, and decision support.
Solve Real Clinical Problems: Tackle complex challenges unique to healthcare, with a focus on radiology workflows and patient follow-up.
Collaborate Cross-Functionally: Work closely with engineers, product teams, and in-house clinicians to design, evaluate, and iterate on ML-powered solutions.
Drive Applied Research: Read and synthesize cutting-edge NLP literature, design experiments, and prototype ideas that can be translated into production.
Architect Practical ML Systems: Identify where and how ML can be most effectively applied across our pipeline and rigorously evaluate different approaches.

AWS Python SQL Cloud Computing Data Analysis Image Processing Machine Learning PyTorch Algorithms Data science Data Structures RESTful APIs Data modeling Software Engineering

Posted 1 day ago

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🔥 Principal AI/SOTIF Safety Engineer Technical Lead

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 193600.0 - 296600.0 USD per year

🔍 Software Development

🏢 Company: careers_gm

🔧 Requirements

7+ years of experience in machine learning, engineering, data science, or a related field of expertise
ISO 8800, ISO 24118 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
Setting the strategy for E2E validation using techniques appropriate to validate AI models
Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Microsoft Azure (Data Lake, Machine Learning, Databricks)
MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Tableau, PowerBI, Pandas, NumPy
Proven track record providing technical safety leadership in AI/ML and AV development

💡 Responsibilities

Referencing ISO 8800, ISO 24118 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance.
Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to solve complex business problems.
Ensure continuity of safety as we enhance existing machine learning models to increase performance and adapt to our changing business landscape.
Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI, to solve business problems.
Set the strategy for testing and validation of data sets and develop an assurance plan.
Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level.
Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate
Setup an assurance process to validate launch targets have been achieved

Docker Leadership Python SQL Artificial Intelligence Cloud Computing Data Analysis Java Java EE Kubernetes Machine Learning Microsoft Azure MLFlow Numpy PyTorch Jira Tableau Algorithms Data science Pandas Tensorflow Communication Skills Analytical Skills Collaboration Agile methodologies RESTful APIs Organizational skills Written communication Problem-solving skills Teamwork Risk Management Data visualization Strategic thinking Data modeling Debugging

Posted 1 day ago

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🔥 Director of AI

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 173200.0 - 277200.0 USD per year

🔍 AI

🏢 Company: cerence

🔧 Requirements

Extensive experience in AI research and development, with a strong focus on natural language processing, , deep learning, and computer vision.
Proven track record of leadership in driving AI initiatives, including strategy development, technology innovation, and team management.
Strong knowledge of programming languages commonly used in AI, such as Python, TensorFlow, PyTorch, or similar frameworks.

💡 Responsibilities

Develop and execute the AI strategy, defining the long-term vision and roadmap for AI technologies at Cerence AI.
Lead and inspire a team of AI researchers and engineers, fostering a culture of collaboration, excellence, and innovation.
Evangelize the company’s innovation in the evolving generative AI with customers.

Leadership Python Artificial Intelligence Machine Learning People Management PyTorch Algorithms Data science Tensorflow Communication Skills Team management Strategic thinking

Posted 1 day ago

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🔥 Data Science Intern

Posted 2 days ago

📍 U.S., Canada, Poland

🧭 Internship

💸 25.0 - 30.0 USD per hour

🔍 Software Development

🔧 Requirements

Working towards obtaining a Master’s degree in Data Science or a related field or equivalent practical experience.
Strong understanding of machine learning, artificial neural networks, and language models.
Proficiency in writing object-oriented code in Python.
Experience with PyTorch, SciPy, Jupyter Notebooks, and Hugging Face Transformers.
Comfort using the Unix command line.
Proven research skills and the ability to find reliable information and datasets.
Ability to think critically about the contexts in which companies produce and use data.
Excellent communication skills for technical concepts.

💡 Responsibilities

Researching new types of data to add to our classifier.
Finding and preparing training data.
Helping with data cleanup.
Tuning prompts for AI data generation.
Developing and analyzing benchmarks measuring accuracy, speed, and consistency of results.
Finding new evaluation datasets for the classifier, helping run experiments, and analyzing results.

Python Artificial Intelligence Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Communication Skills Analytical Skills Research skills

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

🔧 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
Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

💡 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 Data Mining Image Processing Machine Learning MLFlow Numpy OpenCV PyTorch C++Algorithms Tensorflow Software Engineering

Posted 2 days ago

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🔥 QL: Sn Data Scientist (YB S)

Posted 3 days ago

📍 Ukraine

🧭 Full-Time

🔍 SaaS

🏢 Company: Adaptiq👥 51-100 Consulting Professional Services Software

🔧 Requirements

A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).

💡 Responsibilities

Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

AWS Python SQL Apache Hadoop Data Analysis Data Mining Machine Learning PyTorch Spark CI/CD Data visualization

Posted 3 days ago

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🔥 Senior ML Researcher, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

Expertise in ML Model Training and Optimization
Deep Knowledge of Language Model Fine-Tuning
Proficiency in ML Frameworks
Programming Skills
Research Communication Skills
Educational Background
Impactful ML Solution Delivery

💡 Responsibilities

Lead ML Research and Development
Architect Novel Training and Fine-Tuning Methodologies
Evaluate Model Performance and Innovation
Feedback System Design for Continuous Learning
Cross-Functional Collaboration
Stay Current on ML Advancements
Mentor and Guide Team Members

Python Data Analysis Git Machine Learning MLFlow Numpy PyTorch Algorithms Data Structures Tensorflow Communication Skills Analytical Skills CI/CD RESTful APIs Research Cross-functional collaboration

Posted 3 days ago

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🔥 Senior ML Engineer, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🔧 Requirements

ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments.
Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models.
LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
Framework Proficiency: Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development.
Programming Skills: Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
Clear Communicator: Ability to distill complex ML concepts for both technical and non-technical audiences.
Educational Background: Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.

💡 Responsibilities

Architect, Build, and Optimize ML Systems: Develop and deploy robust ML models that deliver high-impact results for real-world applications.
Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
Feedback Systems Design: Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.
Cross-Functional Collaboration: Work closely with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
Stay Current with ML Advancements: Keep up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge.
Mentorship and Knowledge Sharing: Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
Technical Communication: Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.

Docker Python SQL Cloud Computing Data Analysis Git Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Communication Skills Analytical Skills Problem Solving RESTful APIs Cross-functional collaboration

Posted 3 days ago

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🔥 Senior Machine Learning Engineer II

Posted 3 days ago

📍 Vietnam

🔍 Software Development

🏢 Company: Axon👥 1001-5000💰 $246,000,000 Post-IPO Equity almost 7 years agoGovTech Electronics Hardware Software

🔧 Requirements

6+ years of software engineering experience and a proven track record of successfully deploying AI models on devices.
Experience with GPU/TPU development and debugging.
Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
Advanced knowledge and hands-on experience with Linux.
Excellent problem solving skills and ability to dive deep into system architecture.
Excellent software design skills.

💡 Responsibilities

Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
Architect the next generation of the continuous deployment framework for AI on device.
Enable new AI feature on existing and new Axon’s devices by optimizing models for the edge.
Collaborate with scientists in architecting and implementing state-of-the-art training techniques.

Python Embedded Systems Machine Learning Numpy PyTorch C++Algorithms Data Structures Tensorflow CI/CD RESTful APIs Linux DevOps

Posted 3 days ago

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