Why is remote work so nice? Let's try to see!
Apply
Senior ML Engineer
Posted about 1 month agoViewed
💎 Seniority level: Senior
🔍 Industry: Mobile games and apps
Requirements:
NOT STATEDResponsibilities:
NOT STATEDApplyRelated Jobs
Apply
🔥 Senior ML Engineer
Posted 7 days ago
- Expertise in Computer Vision: experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
- Foundational ML Skills: familiarity with classical ML techniques (e.g., clustering, boosting).
- ML Lifecycle Knowledge: deep understanding of a machine learning project lifecycle.
- Python Engineering: experience developing and maintaining Python microservices and libraries.
- Coordinate data labeling efforts and curate high-quality datasets.
- Design, develop, and optimize ML training pipelines.
- Prepare models for production and contribute to deployment processes.
- Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.
Posted 7 days ago
ApplyApply
🔥 Senior ML Engineer
Posted 7 days ago
📍 Hong Kong, Macao
🔍 Software Development
🏢 Company: Intellectsoft👥 251-500Augmented RealityArtificial Intelligence (AI)DevOpsBlockchainInternet of ThingsUX DesignWeb DevelopmentMobile AppsQuality AssuranceSoftware
- 4+ years of experience in machine learning and AI.
- Strong knowledge of Python, PyTorch, TensorFlow, and MLflow.
- Experience with MLOps, CI/CD for ML models, and model monitoring.
- Hands-on experience with Apache Spark and distributed computing.
- Proficiency in SQL, ClickHouse, and feature engineering techniques.
- Design and implement ML models for customer segmentation, trend forecasting, and behavior analysis.
- Develop and optimize data pipelines for feature extraction.
- Deploy models using MLflow, TorchServe, or FastAPI.
- Monitor model performance and automate retraining pipelines.
- Work with big data frameworks (Apache Spark, ClickHouse) for scalable ML processing.
Posted 7 days ago
ApplyApply
🔥 Senior ML Engineer
Posted 21 days ago
🧭 Full-Time
💸 175000.0 - 210000.0 USD per year
🔍 Software Development
🏢 Company: Fluxx👥 51-100💰 $29,151,376 almost 4 years agoBig DataSaaSEnterprise ApplicationsInformation TechnologyEnterprise SoftwareSoftware
- 4+ years of experience as a Data Architect or in a similar role
- 3+ years of database design and semantic layer development
- 4+ years in analytics engineering, data science, data infrastructure, data pipelines, and data warehousing
- Strong experience in assessing and implementing different models, including multimodal
- Strong background in AWS technologies
- Experience with modern data and BI tools
- Strong background in software engineering with proficiency in Python
- Experience building and maintaining data ingestion pipelines (i.e. ETL) and machine learning pipelines
- Proven track record implementing tech stack tooling and driving best practices, including self-service analytics tools
- Experience with data visualization tools (e.g., Power BI, Tableau, etc.)
- Strong proficiency in SQL and T-SQL
- Familiarity with scrum/agile development methodologies and DevOps tools, including Git
- Experience with Ruby on Rails platforms is a big plus
- Drive technical strategy and architecture for data platforms, infrastructure, and tooling
- Design robust and enterprise level data models
- Manage technical debt, data architecture and system scalability
- Ensure successful delivery of technical initiatives on time and with high quality
- A team player working closely with other engineers to deliver on our AI roadmap
- Design and execute technical roadmaps that balance quick wins with long-term scalability
- Establish metrics and KPIs to measure effectiveness of data and AI initiatives
- Ensure data security, compliance, and privacy standards are maintained
- Implement processes for monitoring, alerting, and incident management
- Design and implement self-service tools to enable teams to conduct complex data analysis and develop actionable insights
- Work cross functionally with engineers, QA and product managers
- Provide thought leadership in the continuous improvement of our data architecture, AI features, system, tests, and data quality indicators
- Produce high-quality software that is fully tested, code reviewed, and secure
- Stay on top of technology trends in the industry that might be used to resolve complex business problems
Posted 21 days ago
ApplyApply
🔥 Senior ML Engineer (NLP)
Posted 27 days ago
📍 Europe
🔍 Software Development
🏢 Company: Smartcat👥 101-250💰 $43,000,000 Series C 7 months agoInformation TechnologySoftware
- Experience with relevant SOTA, LLM tuning, and LLM benchmarking
- Experience deploying heavy transformers and optimizing inference
- In-depth understanding of the full lifecycle of ML projects
- Strong Python skills
- Develop and improve benchmarks for translation problems
- Enhance automatic translation quality scoring system
- Automate fine-tuning/customization of translation engines
- Set up infrastructure for self-hosted solutions
- Work with NER, word alignment, and other problems
PythonMachine LearningMLFlowNLTKPyTorch
Posted 27 days ago
ApplyApply
🔥 Senior ML Engineer
Posted 3 months ago
📍 USA, UK, Portugal
🔍 Multilingual content, technology, AI
🏢 Company: Smartcat👥 101-250💰 $43,000,000 Series C 7 months agoInformation TechnologySoftware
- Experience delivering end-to-end CV projects (e.g., detection, segmentation, analysis, OCR, classification, video processing).
- Familiarity with classical ML techniques (e.g., clustering, boosting).
- Deep understanding of a machine learning project lifecycle.
- Experience developing and maintaining Python microservices and libraries.
- Ability to work independently within a designated scope.
- Coordinate data labeling efforts and curate high-quality datasets.
- Design, develop, and optimize ML training pipelines.
- Prepare models for production and contribute to deployment processes.
- Oversee production models, ensuring proper performance through monitoring, fine-tuning, and troubleshooting.
PostgreSQLPythonMachine LearningMongoDBPyTorchApache Kafka
Posted 3 months ago
ApplyApply
🔥 (Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) (onsite / remote in Germany)
Posted 4 months ago
📍 Germany
🧭 Full-Time
🔍 Fintech
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
- Extensive experience in AI/ML technologies and software development (Python).
- Experience with building frontends (e.g., Next.js), dockerization, and cloud platforms, preferably AWS.
- Familiarity with building CI/CD pipelines and version control practices.
- Confidence in modern machine learning libraries such as scikit-learn and PyTorch.
- Strong understanding of chains, routing, agents, Retrieval-Augmented Generation (RAG), and vector databases.
- Familiarity with MLOps practices and lifecycle of ML model development.
- Ideally hands-on experience with model training and optimization.
- Identify, evaluate, implement, and maintain (Gen) AI / ML technologies.
- Drive the development of architectures for deploying scalable ML/(Gen) AI solutions.
- Build infrastructure components and CI/CD pipelines.
- Evaluate retrieval techniques and language models.
- Implement automated testing and monitoring for AI systems.
- Collaborate with cross-functional teams for AI integration.
- Stay updated with industry developments.
AWSDockerPythonMachine LearningPyTorchCI/CDTerraform
Posted 4 months ago
ApplyApply
🔥 Senior ML Engineer, Applied Machine Learning
Posted 5 months ago
📍 USA
💸 175000 - 225000 USD per year
🔍 Technology, Machine Learning
🏢 Company: Red Cell Partners👥 11-50Financial ServicesVenture CapitalFinance
- Proven experience in developing, optimizing, and deploying ML systems in production environments.
- Strong background in building and managing end-to-end training pipelines for ML models.
- Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
- Skilled in ML frameworks such as TensorFlow and PyTorch.
- Proficient in Python with a focus on writing efficient, clean code for ML applications.
- Clear ability to communicate complex ML concepts to both technical and non-technical audiences.
- Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
- A track record of delivering impactful machine learning solutions.
- Develop and deploy robust ML models for real-world applications.
- Design and implement scalable pipelines for model training and retraining.
- Continuously fine-tune large language models to improve performance.
- Implement feedback loops for iterative model improvement.
- Collaborate with product and business teams to align ML solutions with requirements.
- Stay current with ML research and apply insights to the infrastructure.
- Mentor junior team members to foster technical growth.
- Communicate ML methodologies and results to non-technical stakeholders.
PythonMachine LearningPyTorchData engineeringTensorflowCollaboration
Posted 5 months ago
ApplyApply
🔥 Senior ML Engineer (Portugal Based Remote/Hybrid)
Posted 5 months ago
📍 Portugal
🔍 Healthcare Technology
- Strong background in AI and ML methodologies.
- Experience in collaboration with clinical teams is preferred.
- Specific technical skills and qualifications not mentioned.
- Leverage AI and ML to enhance clinical care personalization and scale.
- Collaborate closely with the clinical team.
- Develop decision support systems for clinical prescription management.
- Create ranking systems to prioritize member assistance.
- Enhance engagement systems for relevant communication.
- Work on projects like 'Phoenix' to empower Physical Therapists.
- Focus on incorporating recent developments in Generative AI for greater personalization.
PythonMachine LearningNumpyTensorflow
Posted 5 months ago
ApplyApply
🔥 Senior ML Engineer, Applied Machine Learning
Posted 5 months ago
📍 USA
🧭 Full-Time
💸 175000 - 225000 USD per year
🔍 Technology-led companies in healthcare, cyber, and national security
🏢 Company: Trase Systems
- Proven experience in developing, optimizing, and deploying ML systems in production environments.
- Strong background in building and managing end-to-end training pipelines.
- Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Proficient in Python for writing efficient, clean, and maintainable ML code.
- Ability to distill complex ML concepts for both technical and non-technical audiences.
- Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
- A track record of implementing machine learning solutions that drive value.
- Develop and deploy robust ML models that deliver high-impact results.
- Design and implement efficient, scalable training pipelines for ML models.
- Continuously fine-tune large language models for enterprise requirements.
- Implement and refine feedback loops for ML model improvement.
- Collaborate with product and business teams to translate requirements into ML solutions.
- Stay updated with ML research and best practices to enhance ML infrastructure.
- Mentor junior team members and foster continuous technical growth.
- Communicate ML methodologies and results to non-technical stakeholders.
PythonMachine LearningPyTorchTensorflowCollaboration
Posted 5 months ago
ApplyApply
🔥 Senior ML Engineer
Posted 6 months ago
📍 Lithuania, Serbia, Georgia, Kazakhstan, Armenia
🔍 Logistics technology
🏢 Company: Greenscreens.ai
- 3+ years of experience as a Data Scientist, ML Engineer, or in a similar role.
- Proficiency in Python, SQL, and Git.
- Experience with neural networks, time series, gradient boosting, and random forest.
- Strong foundation in linear algebra, probability, statistics, and optimization.
- Upper-intermediate and advanced proficiency in both English and Russian.
- Desirable technical skills include unit testing, AWS S3, Docker, Kubernetes, experience in logistics, engagement with industry articles and research papers, participation in competitions (like Kaggle), hyperparameter tuning methods, and anomaly detection.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Research and identify new business features to enhance prediction accuracy.
- Enhance Rate Engine through algorithm manipulation, feature experimentation, and research to optimize data filtering and predictive model quality.
- Monitor and maintain deployed ML models, ensuring accuracy and efficiency.
- Automate ML pipelines and manage the entire model lifecycle.
- Develop complex business logic in Python to integrate models into a company's processes.
- Scale and optimize the performance of existing models (RPS, memory consumption).
- The primary focus of your work will be on tabular data.
PythonSQLGit
Posted 6 months ago
ApplyRelated Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 8 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 8 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 8 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.