Machine Learning Jobs

Find remote positions requiring Machine Learning skills. Browse through opportunities where you can utilize your expertise and grow your career.

Machine Learning

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🔥 BI (Business Intelligence) Developer - India

Posted about 1 hour ago

📍 India

🧭 Full-Time

🔍 Fintech

🏢 Company: Vestd👥 1-10 Internet Legal Social Entrepreneurship FinTech Sharing Economy

5+ years experience using SQL.
5+ years of experience using BI tools (Microsoft Power BI, Tableau, etc.).
5+ years of experience working with AWS services (AWS Redshift, AWS Appflow, S3).
Experience with query optimization and database design (i.e. indexing, partitioning, etc.).
Familiarity with Data Warehousing/ETL concepts and execution.
Experience deploying ML models.
Experience implementing AI in a Data Warehouse.
Impeccable attention to detail and a high degree of accuracy.
Excellent written and verbal communication skills.
Comfortable working in a fully remote environment.

Drive the data team forwards to develop new insights which inform the strategic decisions of the business.
Develop and maintain SQL queries for data extraction, transformation, and loading.
Automate data pipelines and queries using AWS services.
Optimize query performance and database design for improved efficiency.
Collaborate with business stakeholders to understand data requirements and translate them into actionable insights.
Assist in the development and maintenance of our Data Warehouse.
Explore and implement new data technologies and best practices, with a focus on AI.
Flex as needed to assist the rest of the Data team with reporting and analysis during high demand periods.

SQL Artificial Intelligence ETL Machine Learning Microsoft Power BI Tableau

Posted about 1 hour ago

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🔥 Staff AI Engineer / Data Scientist

Posted about 2 hours ago

📍 Turkey

🔍 Digital Transformation & IT Consulting

🏢 Company: Oredata Yazılım Limited Şirketi

Fluent English.
Good consultative skills.
Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering, or equivalent practical experience.
10 to 15 years of professional work experience as an AI Engineer, ML Engineer, Data Scientist, or equivalent.
Growth mindset and willingness to learn about new technologies and approaches.
Can-do attitude with a solution-oriented mindset.

Lead the customer engagement technically from pre-sales to delivery about GenAI, AI, ML, Data Science projects.
Deliver presentations, run workshops, and negotiate with diverse parties in customer meetings to drive win-win outcomes.
Present complex findings and data-driven recommendations to stakeholders in a clear and concise manner.
Collaborate with cross-functional teams to solve business challenges through data-driven solutions.
Drive innovation in AI, ML, Data Science methodologies and tools within the organization.

AWS GCP Machine Learning Azure Data science

Posted about 2 hours ago

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🔥 Senior Product Manager (Remote US)

Posted about 2 hours ago

📍 United States

🧭 Full-Time

🔍 AI and customer engagement

Bachelor’s degree in computer science, mathematics, systems engineering, MIS, or a related field.
Preferably an MBA from an esteemed university.
At least 5 years of experience in product management.
At least 2 years in building AI products.
Experience in defining, developing, and managing new products in a fast-paced environment is a plus.
Strong detail orientation, organizational skills, and project management skills.

Identify, analyze, and prioritize new features based on business and customer impact.
Drive product execution and implementation by coordinating with cross-functional teams.
Execute product planning and development, ensuring alignment with product goals.
Drive product launches, ensuring readiness of cross-functional teams.
Build a go-to-market strategy for launches aligned with goals.
Understand customer experience, filling product gaps and enhancing adoption.
Oversee product lifecycle from ideation to end-of-life decisions.
Collaborate with engineering to improve software delivery practices.
Critically assess emerging technologies and perform risk assessments.

Project Management Agile Artificial Intelligence Data Analysis Machine Learning Product Management REST API

Posted about 2 hours ago

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🔥 Senior Full Stack Engineer, Trust & Safety

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 144000.0 - 259200.0 USD per year

🔍 SaaS / technology

🏢 Company: Calendly👥 501-1000💰 $350,000,000 Series B almost 4 years ago🫂 Last layoff over 1 year agoProductivity Tools Enterprise Software Collaboration Meeting Software Scheduling Software

7+ years of Software Development experience at a SaaS or technology company.
Proven track record within the Trust & Safety domain and familiarity with addressing challenges around spam detection, account takeovers, and content moderation.
Knowledge of machine learning techniques and their applications in fraud detection and abuse prevention.
Deep understanding of distributed systems and cloud computing, including practical experience building, operating, and maintaining high-traffic, high-availability platforms and systems.
Experience working with cloud providers like Google Cloud to deploy and manage services, along with leveraging infrastructure-as-code and Terraform is a plus.
Strong programming skills in languages such as Node + TypeScript and Rails with a drive to craft clean, reliable, and maintainable code; including writing comprehensive tests – unit, functional, and integration tests.
Strong web frontend skills with experience utilizing React for client-side application development.
Strong analytical thinking and ability to design solutions to complex challenges.
Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Availability for participation in on-call rotation, ensuring prompt and effective responses to business-critical alerts outside of regular working hours.
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time.

Design and implement systems to detect and mitigate fraud, abuse, and other threats to platform integrity.
Develop algorithms and machine learning models to identify patterns of malicious behavior and enforce preventive measures.
Collaborate with Product, Legal, and Security teams to ensure compliance with evolving regulatory requirements and industry standards.
Build monitoring and alerting tools to proactively address emerging threats.
Optimize performance and scalability of Trust & Safety systems to support the platform's growth.
Conduct root cause analyses of incidents and implement long-term fixes to enhance system resilience.
Stay informed about new security threats, vulnerabilities, and mitigation strategies in the Trust & Safety domain.
Mentor junior engineers and contribute to building a strong engineering culture.

Docker Node.js PostgreSQL Software Development Cloud Computing Kubernetes Machine Learning TypeScript Redis React Terraform

Posted about 2 hours ago

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🔥 Senior Expansion Analyst

Posted about 2 hours ago

📍 Warsaw, Istanbul, Rome, Barcelona, Mexico City, Bogotá, Curitiba, Rio, Munich, Berlin

🔍 Healthcare

3-6 years of professional experience.
Fluency in English; additional languages like Spanish, Portuguese or Polish are a plus.
Quantitatively oriented educational background in Business, Data Science, Statistics, Math/Physics, or Finance.
Technical expertise in large data sets, knowledge of BI tools, and SQL.
Experience in SaaS and/or marketplace model, and business analysis.

Independently lead data analytics with a focus on MRR increase from the current customer base.
Support execution of cross-sell/upsell/pricing initiatives while liaising with in-market stakeholders.
Overall project management for selected initiatives.
Co-design and scale experiments related to pricing and packaging.
Optimize the global Expansion organization through insights from data analysis.

Python SQL Business Analysis Business Intelligence Data Analysis Machine Learning Tableau Data modeling

Posted about 2 hours ago

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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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🔥 VP, Data and Analytics

Posted about 18 hours ago

📍 US

🔍 Compliance Technology

Technical expertise to architect data platforms in the cloud.
Ability to lead data engineering teams.
Strong understanding of data acquisition, ingestion, normalization, and analytics.
Experience with artificial intelligence, big data, analytics, and machine learning.

Build a world-class data organization to grow and transform data and analytics engineering teams.
Responsible for all aspects of Data Engineering including acquisition, ingestion, normalization, and analytics.
Architect the future of our cloud-based data platform.
Lead various data-driven engineering teams delivering software-based data solutions.
Collaborate with business units to drive insights into data on scalable infrastructure.
Partner with business and product teams for efficient data processing and predictive insights.
Define the approach to AI, big data, analytics, and machine learning leveraging collected data.

AWS SQL Apache Airflow ETL Machine Learning Data engineering Data analytics

Posted about 18 hours ago

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🔥 Staff Frontend Engineer - Growth - Monetization (Remote friendly across ANZ)

Posted about 18 hours ago

📍 Australia and New Zealand

🔍 Design and Technology

Extensive experience (7+ years) in modern frontend development.
Strong proficiency in JavaScript, TypeScript, React, or similar frameworks.
Ability to design and implement scalable, high-performance web applications.
Solid understanding of accessibility, performance optimization, and responsive design principles.
Strong communication skills and ability to collaborate across teams.
Experience with A/B testing and analytics tools is a plus.

Architect and implement high-quality, scalable frontend solutions.
Translate complex product requirements into robust architectures.
Write high-quality code and collaborate with engineers across teams.
Proactively identify opportunities to improve code architecture and performance.
Champion platform health and operational excellence.
Lead technical discussions and provide mentorship to team members.

AWS Cloud Computing Frontend Development Javascript Machine Learning TypeScript React A/B testing

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 19 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 19 hours ago

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