PyTorch Jobs

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🔥 Senior AI/ML Engineer

Posted about 18 hours ago

📍 Ukraine, Poland, Armenia, Georgia, Spain

🔍 Technology, healthcare

🏢 Company: Intetics👥 501-1000 IT Services and IT Consulting

Experience with data collection for model training from requirement definition to dataset formation.
Strong knowledge of classic Computer Vision algorithms and image processing.
Strong knowledge of linear algebra and projective geometry.
Experience with classic ML algorithms.
Proficiency in PyTorch and OpenCV.
Experience with 3D data, spatial data, and point clouds.
Healthcare domain experience is mandatory; genomic and transcriptomic data experience is a strong advantage.
Interest in modern SOTA algorithms.
Experience in studying scientific papers and deploying solutions based on them.
Experience in pre-sales activities will be a plus.
Strong communication and presentation skills for explaining technical concepts.

Conducting research and proposing high-level solutions.
Participating in pre-sale activities.
Working on an internal product using classical ML algorithms or lightweight PyTorch models.
Tasks include document classification, predicting employee turnover risk, matching employees to new roles, forecasting sales trends, and identifying high-potential leads.
Engaging in various commercial projects.

Data Analysis Image Processing Machine Learning OpenCV PyTorch Algorithms Data science

Posted about 18 hours ago

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🔥 Edge AI Systems Engineer

Posted about 18 hours ago

📍 Europe

🧭 Full-Time

🔍 Software Development

🏢 Company: Janea Systems

Strong proficiency in PyTorch, TensorFlow Lite, ONNX, and Python.
Familiarity with AI model building blocks and edge ML models.
Experience with small transformer models and multimodal models.
Experience with Microcontrollers, SoCs, Arm Ethos-U NPUs.
Proven skills in model training, optimization, quantization, and pruning.

Design, train, and fine-tune AI/ML models for deployment on edge devices.
Implement and optimize AI solutions on microcontrollers, SoCs, and NPUs.
Perform model compression, quantization, pruning, and other optimization techniques.
Collaborate with engineering, delivery, and client teams to understand requirements.

Python Embedded Systems Machine Learning PyTorch

Posted about 18 hours ago

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🔥 AI / ML Engineer (m/f/d)

Posted about 18 hours ago

📍 EU

🔍 Digital healthcare

Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Natural Sciences, or a related field.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with Machine Learning tools like Databricks or Azure ML.
Strong programming skills in Python and experience with Git or version control mechanisms.
Proficiency in cloud platforms (AWS, Azure, GCP etc.) and containerization (Docker, Kubernetes etc.).
Experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions) and ML workflow tools (e.g., MLflow, Kubeflow etc.).
A passion for leveraging AI/ ML to solve complex challenges and deliver meaningful results.

Build, deploy or leverage AI and ML models and algorithms to solve real-world problems in digital healthcare.
Develop and maintain robust machine learning pipelines and infrastructure for scalable solutions.
Work with cross-functional teams to integrate AI capabilities into key business operations and systems.
Stay ahead of the curve by researching and implementing the latest advancements in AI and ML.
Conduct rigorous testing and optimization to ensure the reliability and efficiency of AI / ML solutions.

Docker Python Kubeflow Kubernetes Machine Learning MLFlow PyTorch Azure Tensorflow CI/CD

Posted about 18 hours ago

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🔥 Software Engineer (Machine Learning), Digital Venture - REMOTE

Posted about 23 hours ago

📍 Philippines

🧭 Contract

🔍 B2B e-commerce

🏢 Company: Makro PRO

5+ years in software engineering in machine learning, with experience in developing production-grade systems.
Proficiency in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
Strong understanding of transformers, SQL, PEFT techniques, and traditional ML algorithms such as XGBoost and clustering.
Preferred background in search, recommendation systems, or LLMs.

Fine-tune and deploy Generative AI models using PEFT, IA3, and transformers.
Build NLP and ranking models for content generation and personalization.
Design and implement ML-driven systems to improve search relevance, recommendation accuracy, and personalization.
Work with structured and unstructured data using SQL.
Architect solutions for distributed ML training and manage resource usage.

Python SQL Data Analysis Machine Learning MLFlow PyTorch Tensorflow

Posted about 23 hours ago

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🔥 Senior Backend Software Engineer | GenAI

Posted 2 days ago

📍 Portugal

🔍 Corporate wellness

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Strong skills in programming languages such as Python, Go, Kotlin, Java, C or C++.
Experience with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL).
Experience with API development and integration.
Excellent problem-solving skills and attention to detail.
Strong communication skills in English and Portuguese.
Ability to work efficiently on scalable and distributed projects.
Proven experience with projects where the scope is not clearly defined.
Quick learning and adaptation to new technologies.
Passion for building reliable minimum viable products.

Design, develop, and implement generative AI-based applications.
Work with large language models (LLMs) to create innovative applications and solutions.
Conduct research to stay updated with the latest advancements in generative AI.
Develop and optimize Retrieval-Augmented Generation (RAG) systems.
Implement robust data retrieval mechanisms to support RAG frameworks.
Collaborate with data engineers for data pipeline integration.
Design and develop APIs for interfacing with AI models and services.
Ensure APIs are secure, scalable, and integrated seamlessly with other software systems.
Work closely with cross-functional teams including product managers, designers, and engineers.
Communicate technical concepts effectively to non-technical stakeholders.

AWS PostgreSQL Python SQL Cloud Computing DynamoDB ETL Java Kotlin Kubernetes PyTorch C++Data engineering Go Nosql Tensorflow

Posted 2 days ago

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🔥 Azure Machine Learning Engineer

Posted 2 days ago

📍 Argentina

🧭 Full-Time

🔍 Data Intelligence

🏢 Company: Netrix Global👥 501-1000 Internet Information Technology Telecommunications

Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
Experience working in cloud environments (AWS) for at least 2 years.
Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
Advanced English level.
Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.
Experience with Generative AI models and deploying them in production.
Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
Ability to work in Agile teams under Scrum methodology.

Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.
Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
Prepare and structure data for advanced AI and GenAI solutions.
Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
Document and rigorously test models and workflows to meet accuracy and performance requirements.
Monitor and enhance the performance of Machine Learning models and services in production.
Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads.

AWS Python Cloud Computing Machine Learning PyTorch Tensorflow DevOps Terraform

Posted 2 days ago

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🔥 Head of Research - Computer Vision (Portugal-based)

Posted 2 days ago

📍 Portugal

🧭 Full-Time

🔍 Healthcare technology

A PhD in Computer Vision, Machine Learning, or a related field.
5+ years leading research teams and projects, particularly in Computer Vision.
Deep technical expertise coupled with versatility to work cross-functionally.
Significant research experience, including post-doctoral work, publications in high-impact journals, and presentations in conferences.
Excellent communication and leadership skills to align teams across the organization.
Experience building partnerships and securing research funding.
Solid organizational skills as testified by awarded grants, events organization and/or partnerships/consortium management or engagement.

Lead Computer Vision Research at Sword, scoping initiatives and projects and defining priorities and goals alongside leadership.
Conduct hands-on research, especially in the early stages of this team.
Collaborate cross-functionally with Product and Technical stakeholders to ensure Research is aligned with company goals and priorities.
Publish high-quality scientific papers in top-tier journals and present findings at international conferences.
Build and nurture relationships with academic institutions and other industry partners.
Identify and secure funding opportunities, such as public research grants.

Leadership Data Analysis Image Processing Machine Learning OpenCV PyTorch Algorithms Data science Tensorflow Research Cross-functional collaboration

Posted 2 days ago

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🔥 Lead Machine Learning Scientist

Posted 2 days ago

📍 US, Canada

🔍 Data and artificial intelligence consultancy

🏢 Company: OneSix - External

Applicants must reside in either the US or Canada.
3+ years of experience shipping machine learning-based products.
Experience in statistical modeling and hypothesis testing.
Skilled in designing, training, and validating machine learning algorithms.
Proficient in writing clean, efficient SQL.
Experience in building and testing Python applications.
Ability to build deep neural networks with tools like PyTorch or Tensorflow.
Collaborative experience via Git.

Work with other machine learning scientists and engineers to develop custom ML solutions for various industries and use cases.
Develop, train, and validate machine learning algorithms.
Apply techniques like classification, clustering, regression, NLP, deep learning, time series forecasting, and Bayesian methods.
Help create generalized solutions from specific use cases.
Identify areas for opportunity and improvement within projects.
Research new ML and AI techniques and evaluate their business potential.
Collaborate in a remote, Agile-like environment.

Python SQL Git Machine Learning PyTorch Tensorflow

Posted 2 days ago

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🔥 AI Maestro (Hyderabad, India)

Posted 3 days ago

📍 India

🔍 Consulting, Data, AI, and ML

🏢 Company: Xenon7

6+ years of experience in AI roles or relevant fields such as AI, ML, and Data Science.
Expertise and practical experience in one or more domains, such as GenAI in chat bots or robotics.
Deep understanding of data structures, data modeling, and software architecture.
Knowledge of math, algorithms, and applied statistics (e.g. probability, distributions, regression).
Proficiency in pattern recognition and predictive modeling.
Proficiency in programming languages like Python, R, or Scala.
Extensive experience with machine learning toolkits (e.g. Keras, Pytorch, MLFlow).
Working knowledge of cloud computing environments (AWS, GCP, Azure).
Experience collaborating with cross-functional teams.

Work with business leaders to identify problems that can be resolved using artificial intelligence and machine learning technologies.
Use domain expertise to propose and prototype architecture for solutions.
Act as domain consultant on projects to ensure high-quality execution and deliverables.
Propose and participate in the selection of optimal team for a project.
Ensure AI ethics and other SecOps principles are properly implemented on projects.
Contribute to the improvement of Xenon’s assessment and delivery process.
Contribute to developing Xenon’s domain capabilities, content, and competitiveness.

AWS Python Artificial Intelligence Cloud Computing GCP Keras Machine Learning MLFlow PyTorch Software Architecture Algorithms Azure Data Structures Scala Data modeling

Posted 3 days ago

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🔥 Machine Learning Engineer, Search (multiple levels)

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 185800.0 - 322000.0 USD per year

🔍 Technology, Internet Services

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
Experience building machine learning models using PyTorch or Tensorflow.
Experience with search & recommender systems and pipelines.
Production-quality code experience with testing, evaluation, and monitoring using Python and Golang.
Familiarity with GraphQL, REST, HTTP, Thrift, or gRPC and design of APIs.
Experience developing applications with large scale data stacks such as Kubeflow, Airflow, BigQuery, Kafka, Redis.

Develop and enhance Search Retrievals and Ranking models.
Design and build pipelines and algorithms for user answers.
Collaborate with product managers, data scientists, and platform engineers.
Develop and test new pipeline components and deploy ML models.
Ensure high uptime and low latency for search systems.

GraphQL Python Kafka Kubeflow Machine Learning PyTorch Airflow Redis Tensorflow

Posted 3 days ago

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