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Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML Engineer: 4 years (Required)</li></ul>

AI ML Engineer

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
 
 
</div>

AI Engineer

Good Job Games

<div>
 
 
 
 About us
 
 
 
 
 We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team!
 
 
 
 
 
 
 
 About the role
 
 
 
 
 The more technology evolves, the more it shapes our lives. We&rsquo;re looking for AI enthusiasts who are passionate about exploring new technologies and creating innovative, effective solutions to improve the way we work.
 
 
 
 
 
 If you thrive on a &ldquo;how can we do it better&rdquo; mindset, we&rsquo;d love to have you on our team!
 
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 <ul>
 <li>
 Leading a range of AI projects collaborating with teams from marketing to product and beyond
 </li>
 <li>
 Delivering technical expertise to support AI workflows, handling ad-hoc requests and issues
 </li>
 <li>
 Providing technical insights and suggestions to implement and improve AI models and tools
 </li>
 <li>
 Designing and deploying automation solutions that drive simplicity and efficiency, leveraging APIs, connectors, and workflow orchestration
 </li>
 <li>
 Exploring and mastering Generative AI technologies to support asset production processes, including prompt engineering and fine-tuning use cases
 </li>
 <li>
 Staying ahead of cutting-edge trends in AI and gaming and translating them into practical applications
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experience
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Mathematics or a related engineering field
 </li>
 <li>
 Proficiency in Python (TensorFlow or PyTorch)
 </li>
 <li>
 Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.) and a desire to develop in this area
 </li>
 <li>
 An always-looking-for-better-ways mindset and the ability to understand team needs to proactively generate solutions
 </li>
 <li>
 Ability to combine technical and business mindsets effectively
 </li>
 </ul>
 
 
 
 
 
 
 What makes our team so unique
 
 
 
 <ul>
 <li>
 Feedback and transparency are at the heart of everything we do
 </li>
 <li>
 Exceptional and passionate people/team members
 </li>
 <li>
 Every idea counts
 </li>
 <li>
 Never-ending learning
 </li>
 <li>
 We never stop asking the questions &ldquo;why&rdquo; and &ldquo;how&rdquo;
 </li>
 </ul>
 
 
 
 
 
 
 Our Perks
 
 
 
 <ul>
 <li>
 Team events and trips
 </li>
 <li>
 Great food
 </li>
 <li>
 On-site gym
 </li>
 <li>
 Full health benefits
 </li>
 <li>
 Compensation for paid military service
 </li>
 <li>
 Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights)
 </li>
 </ul>
 
 
 
 
 
 This is an on-site role in Istanbul, Sar&inodot;yer. Unfortunately, we do not offer a fully-remote working option.
 
 
</div>

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Data Centre Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

Overview We are seeking a skilled Splunk Engineer with strong administration and operational experience to design, implement, and maintain Splunk infrastructure and analytics solutions. The ideal candidate will have hands-on expertise in Splunk Enterprise / Enterprise Security (ES), data onboarding, dashboard creation, alert tuning, and system administration. This role bridges engineering, operations, and security analytics, ensuring Splunk runs optimally while delivering actionable insights.Key Responsibilities<ul><li>Design, deploy, and maintain Splunk environments (indexers, search heads, forwarders, deployment servers, cluster masters).</li><li>Create and optimize SPL queries, dashboards, reports, and alerts for operational visibility and threat detection.</li><li>Develop and automate data onboarding pipelines from diverse sources (syslog, cloud, API, EDR tools).</li><li>Integrate Splunk with SIEM/SOAR platforms, cloud services (AWS, Azure, GCP), and endpoint security tools.</li><li>Support use case development for security monitoring and compliance (SOC, IT Ops, or DevOps).</li><li>Perform installation, configuration, and upgrade of Splunk components.</li><li>Manage user roles, authentication, and access control (RBAC).</li><li>Monitor system health, indexing performance, and data retention policies.</li><li>Handle license management, data optimization, and troubleshooting.</li><li>Conduct backup, recovery, and disaster recovery planning for Splunk infrastructure.</li></ul>Security &amp; Operations<ul><li>Collaborate with SOC Analysts to build and tune correlation searches.</li><li>Ensure data integrity, confidentiality, and compliance with security standards (SOC 2, ISO 27001, NIST).</li><li>Participate in incident response and threat analysis leveraging Splunk dashboards.</li><li>Automate repetitive tasks using scripts (Python, Bash, PowerShell) and APIs.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Security, or related field.</li><li>3+ years of experience in Splunk engineering or administration.</li><li>Proficiency in Splunk Enterprise / ES, SPL scripting, and data onboarding.</li><li>Experience managing Splunk clusters, indexing, and search head configurations.</li><li>Strong understanding of log parsing, data normalization, and regex extractions.</li><li>Familiarity with Linux/Windows administration and network security concepts.</li><li>Experience with security frameworks (NIST, MITRE ATT&amp;CK, SOC2, PCI-DSS).</li><li>Scripting skills in Python, Shell, or PowerShell.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Splunk Certifications:</li><li>Splunk Core Certified Power User</li><li>Splunk Enterprise Certified Admin</li><li>Splunk Enterprise Security Certified Admin</li><li>Knowledge of cloud-based Splunk (Splunk Cloud, AWS, Azure integrations).</li><li>Experience working in a Security Operations Center (SOC) environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Splunk Engineer: 4 years (Required)</li></ul>

Splunk Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

Buluttan

<div>
 
 
 Company Description
 
 
 
 Buluttan utilizes advanced Numerical Weather Prediction (NWP) and Artificial Intelligence models to create state-of-the-art hyper local weather forecasting solutions. Our products are designed to provide accurate and actionable weather intelligence. By building precision-driven solutions, we assist stakeholders in renewable energy and mobility industries,improving operational efficiency, and enhancing asset and people safety. Also consortium partner of the "EU Horizon: Weather generator" project, we are a vc-funded, curious team of engineers, driven to grow globally.
 
 
 
 
 
 
 Role Description
 
 
 
 
 We are seeking a talented and experienced Data Engineer to join our dynamic team. In this role, you will collaborate closely with our Data Science and Atmospheric Sciences Team to build and maintain robust data pipelines, ensure data quality, and support advanced analytics and machine learning initiatives. As a data company, our raw material is data and our final product is prediction data, which is why the Data Engineering team is primarily responsible for constructing pipelines that deliver data directly into our final products; hence, it is expected that you will also contribute to product design and engineering. You will contribute to the development and maintenance of our data pipelines, data lake, and data warehouse, as well as to building data products and tools that automate the processes.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Design, develop, and maintain scalable data pipelines and ELT processes to handle large volumes of weather data
 
 </li>
 <li>
 
 Collaborate with Data Scientists and Meteorological Engineers to support data-driven projects and enhance predictive models
 
 </li>
 <li>
 
 Design and build data ingestion pipelines in Python to extract data from third-party sources, leveraging its libraries and tools to ensure efficient and accurate data retrieval
 
 </li>
 <li>
 
 Ensure data quality and integrity by implementing data validation and monitoring processes
 
 </li>
 <li>
 
 Optimize and manage our cloud-based data lake and warehouse architecture
 
 </li>
 <li>
 
 Administer our cloud services&rsquo; permissions and security management, as well as building automation tools for permissions management and security processes
 
 </li>
 <li>
 
 Develop and maintain data models in our Python and SQL pipelines that directly deliver data to our end products, services, and ML and Atmospheric models
 
 </li>
 <li>
 
 Support product design and development by providing subject matter expertise regarding data pipelines, data models, and data architecture
 
 </li>
 <li>
 
 Assist in the creation of data visualizations and dashboards to provide insights for internal and external stakeholders
 
 </li>
 <li>
 
 Mentor and support junior engineers and scientists, fostering a collaborative and knowledge-sharing environment that enhances our data literacy and mindset
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Proven experience as a Data Engineer, preferably building and maintaining data pipelines that directly integrate with operational end products and services
 
 </li>
 <li>
 
 Strong proficiency in
 
 
 Python
 
 
 and
 
 
 SQL
 
 
 and experience with relational databases and data warehouses (
 
 
 BigQuery
 
 
 , Redshift, MySQL, PostgreSQL) and data lakes (GCS, S3, Delta Lake)
 
 </li>
 <li>
 
 Hands-on experience with cloud-based solutions (
 
 
 Google Cloud Platform
 
 
 ,
 
 
 
 
 AWS, Azure), including data warehouses, data lakes, security and permissions management, and servers
 
 </li>
 <li>
 
 Understanding of modern data architecture concepts like data lakehouse, change data capture,&nbsp; data marts, star/snowflake schemas, data mesh/fabric, and platform engineering
 
 </li>
 <li>
 
 Experience with data transformation tools (dbt, DataBricks), data orchestration tools (Airflow, AWS Glue, Bruin), and familiarity with monitoring and logging tools (DataDog, Logstash)
 
 </li>
 <li>
 
 Experience with Linux/Unix command line, including proficiency with shell scripting (bash, sh), process management, routine automation, and basic system administration tasks
 
 </li>
 <li>
 
 Proficiency with data modeling and transformation tools, with expertise in designing and implementing complex logics, develop quality checks, and optimize data schemas and partitioning for performance and scalability
 
 </li>
 <li>
 
 Knowledge of Object-Oriented Programming
 
 </li>
 <li>
 
 Collaboration skills in Github repositories using best practices, creating automation pipelines and actions, resolving conflicts, and managing deployment cycles
 
 </li>
 <li>
 
 Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills
 
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 
 Knowledge of data visualization tools (Grafana, Tableau, Looker)
 
 </li>
 <li>
 
 Familiarity with APIs and extracting data from third-party sources
 
 </li>
 <li>
 
 Experience working with multi-dimensional data such as Zarr files and GeoJSON
 
 </li>
 <li>
 
 Experience with ingesting, processing, and converting image and radar files
 
 </li>
 <li>
 
 Passion for meteorology and working with weather data
 
 </li>
 <li>
 
 An active stance on climate change &amp; sustainability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are passionate about data engineering and eager to make an impact with your skills, apply now and join our mission to leverage weather data for a better future.
 
 
 
 
 
</div>

Data Engineer

Explore 165+ Python engineer in Istanbul Turkey this November. Find roles across top companies and apply now to boost your career.

165 python engineer jobs IN Istanbul Turkey

AI ML Engineer

AI Engineer

AI Engineer

AI Data Center Engineer

Splunk Engineer

AI Engineer - Computer Vision

Data Engineer