CrawlJobs Logo
Sport Vision Czechia s.r.o. Logo Sport Vision Czechia s.r.o. · IT - Software Development

Machine Learning & AI Developer

Czech Republic, Prague Employment contract · Job Posted May 27, 2026
Apply Position
Job Link Share

Job Description

We are seeking a Machine Learning & AI Developer to design, build, and deploy data‑driven and AI solutions that enhance catastrophe modelling, with an emphasis on flood hazard and risk. You will work with hazard and vulnerability modellers, software engineers, and other experts to prototype and industrialise novel approaches that improve the accuracy, scalability, and resolution of Impact Forecasting’s models. While the primary focus is flood, you will also support cross‑peril initiatives (e.g., wildfire, terrorism) and internal AI tools that accelerate research and development. A key initial responsibility will be contributing to an ML/AI‑based flood map quality assessment pipeline for new global flood models, replacing a manual QA process.

Job Responsibility

  • Develop and implement ML/AI solutions to improve catastrophe models, focusing on flood hazard and risk
  • Build global flood risk quality classification models using geospatial, hydrological, and exposure datasets
  • Contribute to the design, development, and maintenance of the Impact Forecasting Knowledge Hub (AI chatbot), including data pipelines, model selection, and monitoring
  • Research and implement precipitation downscaling methods (e.g., CNNs, U‑Nets, diffusion, generative models) to improve spatial and temporal resolution of inputs
  • Design, run, and document proof‑of‑concept (PoC) studies, from problem framing to evaluation and recommendations

Requirements

  • Proven experience (industry or advanced academic) in machine learning and/or applied AI, ideally on structured, time series, or geospatial data
  • Strong Python skills with common ML/AI and data science libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch and/or TensorFlow)
  • Hands‑on experience with deep learning architectures (e.g., CNNs)
  • exposure to image‑like or gridded data architectures (e.g., U‑Net) is a plus
  • Solid understanding of ML fundamentals (training, validation, overfitting, metrics, hyperparameter tuning)
  • Experience with large, complex datasets, including data cleaning, feature engineering, and efficient processing
  • Secondary education or professional training with a school-leaving exam
  • English (Proficient)

Nice to have

  • Experience with geospatial data and tools (e.g., xarray, rasterio, geopandas, GDAL) or climate / environmental / remote sensing datasets
  • Knowledge of hydrology, meteorology, climate science, or natural catastrophe modelling
  • Familiarity with generative models (e.g., diffusion models, GANs) for downscaling or image‑to‑image tasks
  • Experience building or integrating chatbots or retrieval‑augmented generation (RAG) systems using LLMs
  • Exposure to MLOps / productionisation or cloud environments (preferably Azure/Databricks)

What we offer

  • Cell phone
  • Flexible start/end of working hours
  • Notebook
  • Occasional work from home
  • Refreshments on workplace
  • Sick days
  • pension scheme contributions
  • in-office massages
  • language courses
  • ergonomic tables
Sport Vision Czechia s.r.o. - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Machine Learning & AI Developer

8 matching positions

Python Developer (Machine Learning_ Devops_AI)

We are seeking a highly motivated and skilled Junior Developer with a strong fou...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent proficiency in Python is mandatory
  • Solid understanding of core machine learning and artificial intelligence principles, algorithms, and methodologies
  • Hands-on experience in developing, training, and evaluating ML models
  • Ability to deploy ML models into production environments
  • Practical experience with Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques and libraries
  • Awareness of LLM concepts and experience in interacting with LLM APIs
  • Strong ability to write clear, concise, and effective prompts for LLM APIs
  • Awareness of RAG principles and architectures
  • Ability to write effective unit and integration tests
  • Awareness of dockerization and experience in creating and using CI/CD pipelines with at least one tool (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions)
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning and AI models, including those for Natural Language Processing (NLP) and Optical Character Recognition (OCR)
  • Create and iterate on prototypes rapidly to demonstrate the feasibility of AI/ML solutions
  • Work with various data sources to clean, preprocess, and prepare data for model training
  • Collaborate with senior developers and data scientists to integrate AI/ML functionalities into existing and new applications
  • Utilize Large Language Model (LLM) APIs effectively by crafting precise and efficient prompts
  • Participate in code reviews, ensuring code quality, performance, and adherence to best practices
  • Write comprehensive unit and integration tests to ensure code quality and reliability
  • Continuously learn and stay updated with the latest advancements in AI, Machine Learning, and related technologies
  • Document development processes, model architectures, and deployment procedures
  • Fulltime
Read More
Arrow Right

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...
Location
Location
United Kingdom
Salary
Salary:
Not provided
parexel.com Logo
Parexel
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
  • Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
  • Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
  • Proven CS fundamentals including data structures, algorithms, and distributed systems
  • Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
  • Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
  • Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
  • Experience with data modeling and pipeline development in Palantir Foundry
  • Experience with frontend development for intuitive user experience
  • Practical understanding of database technologies including relational, non-relational and graph
Job Responsibility
Job Responsibility
  • Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
  • Design, implement, and document new ML/Gen AI modeling techniques and strategies
  • Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
  • Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
  • Review code and pipelines of other engineers to enhance ML quality and security within Foundry
  • Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
  • Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
  • Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
  • Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
  • Collaborate with Product to define and implement features to satisfy customer requirements within Foundry
What we offer
What we offer
  • competitive base salary
  • holiday
  • private healthcare
  • dental insurance
  • Fulltime
Read More
Arrow Right

AI / Machine Learning Engineer

Location
Location
United States , Los Angeles
Salary
Salary:
170000.00 - 190000.00 USD / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in software/data engineering or machine learning
  • 2+ years building AI/ML or LLM-based systems in production environments
  • Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio
  • Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse
  • Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions
  • Proven experience building autonomous agents or AI-driven workflows with safety and observability
  • Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks
  • Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement
Job Responsibility
Job Responsibility
  • Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio
  • Build, fine-tune, and evaluate LLM-based applications
  • Develop and maintain Python pipelines (ETL/ELT) and ML models
  • Deliver demand prediction, sales forecasting, and operational planning models
  • Integrate AI into Power Platform solutions and line-of-business apps
  • Build task-oriented AI agents and automation workflows
  • Design context management patterns for AI systems
  • Design scalable data products on Fabric/Databricks/Synapse
  • Build CI/CD for models and prompts
  • Implement telemetry and responsible AI evaluations
What we offer
What we offer
  • Comprehensive Medical, Dental and Vision Plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Wellness Incentive
  • Employee Assistance Program (EAP)
  • Paid Time Off & Holidays
  • 401(k) Retirement Plan Matching
  • Group Term Life and AD&D Insurance
  • Short-Term and Long-Term Disability Insurance
  • Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages
  • Fulltime
Read More
Arrow Right

Ai Machine Learning Scientist

The AI Machine Learning Scientist is responsible for Artificial Intelligence (AI...
Location
Location
United States of America , Richmond
Salary
Salary:
Not provided
elevancehealth.com Logo
Elevance Health
Expiration Date
July 15, 2026
Flip Icon
Requirements
Requirements
  • Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
  • or any combination of education and experience in configuration management, which would provide an equivalent background.
Job Responsibility
Job Responsibility
  • Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale
  • Build and maintain infrastructure, pipelines, and services that connect structured and unstructured data sources for AI-driven applications
  • Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
  • Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance
  • Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production
  • Collaborate with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
  • Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls
  • Optimize AI systems for scalability, latency, reliability, and cost efficiency
  • Support experimentation, benchmarking, and model comparison activities to improve decision-making and accelerate AI innovation
  • Partner with cross-functional stakeholders to translate business requirements into production-ready AI capabilities and services
What we offer
What we offer
  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • Fulltime
!
Read More
Arrow Right

AI Machine Learning Scientist

Location
Location
United States of America , INDIANAPOLIS
Salary
Salary:
Not provided
elevancehealth.com Logo
Elevance Health
Expiration Date
July 15, 2026
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study
  • Four (4) years of Information Technology (IT) experience, or related experience
  • Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering)
  • Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning
  • Experience using Python programming language
  • Experience with big data technologies including Hadoop, Apache Spark, and AWS
  • Experience with relational database management and SQL
  • Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification
  • Experience with statistical analysis and application of statistical methods
  • Employer will accept a Master’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.
Job Responsibility
Job Responsibility
  • Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement
  • Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals
  • Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models
  • Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company’s AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering
  • Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers
  • Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications
  • Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems
  • Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT
  • Mentor junior team members and influence the strategic direction of our ML and data science projects.
What we offer
What we offer
  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • Fulltime
!
Read More
Arrow Right

Principal AI / Machine Learning Engineer

The Principal AI/Machine Learning Engineer will oversee defining and executing Z...
Location
Location
United States , Secaucus
Salary
Salary:
141000.00 - 188000.00 USD / Year
sanmina.com Logo
Sanmina
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in Engineering, Computer Science, Data Science, or a related field
  • 10–15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles
  • Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies
  • Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent)
  • Track record of driving measurable improvements in yield, reliability, or process robustness
  • Background in electronics assembly, PCBA, servers, or other high-reliability industries
  • Experience with applying AI/ML toolsets to statistical problem solving, predictive analytics, or anomaly detection
  • Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making
  • Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions
  • Proven ability to drive organizational changes in data-driven transformations
Job Responsibility
Job Responsibility
  • Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement
  • Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations
  • Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value
  • Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production
  • Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics
  • Define the organizational, data, and process changes required to prepare the business for AI/ML integration
  • Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories
  • Apply AI/ML techniques to analyze manufacturing data sets – including metrology, vision inspection, event data, test results – conduct regression analysis, correlation studies, and commonality analysis
  • Leverage deep, data-rich environments and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput
  • Apply advanced statistical and analytical methods (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments
What we offer
What we offer
  • Competitive base salary
  • Performance-based annual bonus eligibility
  • 401(k) retirement savings plan
  • Tuition reimbursement for eligible education programs
  • Comprehensive medical, dental, and vision coverage with access to leading providers
  • Mental health resources and employee wellness support programs
  • Company-paid life and disability insurance
  • Paid time off (PTO) and company-paid holidays
  • Parental leave and family care support programs
  • Structured training programs and on-the-job learning opportunities
  • Fulltime
Read More
Arrow Right

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience designing and implementing machine learning and AI solutions in a cloud environment
  • Strong understanding of modern data and ML platform architectures, including serverless compute
  • Hands-on experience with serverless, integration, and event-driven architectures
  • Strong programming skills in Python, SQL, and distributed data processing frameworks
  • Experience with CI/CD, MLOps, and Infrastructure as Code practices
  • Solid understanding of scalability, cost management, and performance optimization for cloud workloads
  • Knowledge of security, privacy, and compliance considerations for AI and data solutions
  • Experience designing and implementing observability, monitoring, and alerting in production environments
Job Responsibility
Job Responsibility
  • Designing and assessing serverless compute architectures for AI and data workloads
  • Building and optimizing scalable serverless data and machine learning environments
  • Developing and maintaining CI/CD pipelines for AI and data platform components
  • Ensuring reliability, performance, monitoring, and cost optimization of platform services
  • Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
  • Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards
  • Fulltime
Read More
Arrow Right

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience designing and implementing machine learning and AI solutions in a cloud environment
  • Strong understanding of modern data and ML platform architectures, including serverless compute
  • Hands-on experience with serverless, integration, and event-driven architectures
  • Strong programming skills in Python, SQL, and distributed data processing frameworks
  • Experience with CI/CD, MLOps, and Infrastructure as Code practices
  • Solid understanding of scalability, cost management, and performance optimization for cloud workloads
  • Knowledge of security, privacy, and compliance considerations for AI and data solutions
  • Experience designing and implementing observability, monitoring, and alerting in production environments
Job Responsibility
Job Responsibility
  • Designing and assessing serverless compute architectures for AI and data workloads
  • Building and optimizing scalable serverless data and machine learning environments
  • Developing and maintaining CI/CD pipelines for AI and data platform components
  • Ensuring reliability, performance, monitoring, and cost optimization of platform services
  • Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
  • Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards
  • Fulltime
Read More
Arrow Right