Hire Vetted Data and Analytics Engineers at Upstaff

* 25 years in Israel high-tech (Video, Streaming) , 5 years with Cloud Gaming (Electronic Arts) * Scalable Video Streaming among LEO satellites (research project of Ben Gurion University) * Cloud Gaming: encoding, decoding, low latency streaming (e.g. RTP/SRT), error resilience etc. * Video Codecs: Subcontracting with Visionular on improving coding efficiency of its own HEVC encoder. * Subcontracting with DSP-IP - military projects * Video optimization and hevc codec development (Beamr Imaging) * Python Programming: development automated testing systems (CI), proofs of concept, computer vision with packages cv2 and cvlib. * Artificial Intelligence: genetics/evolutionary optimization of video codec parameters, facial expressions detection with CNN. * 360/VR: subcontracting with Texel (texel.live) - tiled streaming Computer Vision: OpenCV (including python cv2). * NVIDIA/AMD products: evaluation and modification hw encoders: Tesla T4, A40) of NVIDIA and Navi21 of AMD. * and several technical papers and several technical papers

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

Experienced IT professional with more than ten years of expertise in Cloud Systems, DevOps, Machine Learning and MLOps practices. Pavlo specializes in building scalable and reliable ML pipelines, optimizing models for real-world use, and managing full lifecycle of machine learning projects. Pavlo's technical skills include TensorFlow, PyTorch, Kubernetes, Kubeflow, Terraform, Python, as well as cloud platforms and services such as AWS SageMaker and Azure Cognitive Services.

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5+ years in Data Science - 5+ years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honors), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting - Engineering, Understanding AI and LLMs

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills (SQL, Airflow). - 6+ years of experience with Tableau (Certified Tableau Engineer) - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies: Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering; - Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance; - Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime; - Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption; - Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift; - Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins); - Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes; - Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows; - Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%; - Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis); - Expertise in Python, Go, Java, and Bash for automation and integration; - Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption; - Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration; - Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.

- 10+ years in AI/ML & Data Science, high-performance systems, 10+ years in DevOps and 5+ years in MLOps; - Expertise in Python, Asyncio, Aiohttp, Redis, PostgreSQL, Neo4j, ElasticSearch, and cloud platforms (AWS, GCP, Azure); - Experience with high-load environments, Redis queues, custom assemblies, and data isolation in production-ready systems; - Skilled in Active Directory integrations, NLP, similarity engines, and AI-driven architectures, with focus on context engineering, summarization, and agentic RAG pipelines (LlamaIndex, Quadrant, IntentRouter); - Experienced with both text and voice AI models (speaker identification, speech-to-text) and ontology-driven algorithms (PCA, classifiers, semantic understanding from scratch); - Knowledge of AWS services (S3, EC2, Fargate, EKS, Bedrock pipelines), Kubernetes, CI/CD automation, and cloud migrations (AWS to GCP); - Passion for NLP, AI, and similarity engines, with preference for applied AI/ML approaches over purely statistical methods; - Experienced leadership in R&D and engineering management, delivering production-ready AI/ML solutions in defense, search, and semantic platforms.

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.

- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

- 5 years of commercial experience with PowerBI and Tableau - 4 years of commercial experience with SQL - Prepared a comprehensive analysis of the US real estate market with Spotfire - Assessed data quality from sources that contained tens of thousands of customer and transaction data, by using SQL in Azure SQL Database - Employed data-driven techniques to develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals - Upper-Intermediate English

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

- 12+years of professional experience as a BI - Client's requirements analysis - Database modeling - Writing SQL scripts - Tableau data sources building - Tableau dashboard building - Intermediate English

- Experienced software engineer with a strong background in computer science and a Bachelor's degree in Economics and Sociology. - Proficient in various programming languages, including but not limited to Java, Python, and C++. - Skilled in software development methodologies, principles, and patterns, with a solid understanding of the SDLC. - Experienced in developing and implementing software solutions, with a focus on problem-solving and delivering high-quality products. - Familiar with a wide range of technologies and tools, including MS Office Suite, SPSS, STATA, and more. - Strong analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams. - Excellent communication and interpersonal skills, with a proven track record of delivering results and exceeding expectations.

- Senior Full-Stack Engineer with over 8 years of industry experience and a solid educational background with a Bachelor's degree in Computer Science from Holy Angel University. - Expertise in a wide range of programming languages (JavaScript, TypeScript, PHP, Java, Python, Golang, C#) and frameworks (React, Next.js, Vue, Node, Laravel, Django), enabling versatile full-stack development. - Proficient in modern DevOps and cloud technologies (Docker, Kubernetes, AWS, GCP), AI & ML implementations (PyTorch, TensorFlow), and creating responsive front-end applications that improve user experience. - A track record of building and maintaining large-scale, AI-integrated applications, such as a consumer savings app with 20,000+ active users. - Strong grasp of databases (MySQL, PostgreSQL, MongoDB, Firebase, Redis) and proficiency in Version Control (Git), improving collaboration and SDLC efficiency. - Demonstrated ability to drive projects from concept to deployment, with an emphasis on clean code, automated testing, and CI/CD practices.

A seasoned Senior Software & Machine Learning Engineer with extensive experience in backend engineering, AI/ML, and data engineering. With a decade of professional involvement, the engineer boasts a deep understanding of distributed computing and database design, having worked with technologies like .NET, Python, Spark, and Kubernetes. Education includes a BSc in Computer Science & Artificial Intelligence, reinforcing a solid foundation in modern engineering principles. Holds a proven track record of implementing intelligent systems, such as conversational AI platforms and deep learning models, that have significantly improved user engagement and reduced operating costs. The engineer's technical acumen is further highlighted by expertise in full-stack development, including the use of React, Svelte, and Angular, and in creating robust cloud-based solutions leveraging AWS. This combination of practical experience and education makes the engineer a standout candidate for driving innovation and efficiency in complex software environments.

Proven Software Engineer with robust academia in Intelligent Systems & Software Engineering, adept in Python, Java, and AI/ML technologies. Offers hands-on experience in AI model training and software development, with expertise in algorithm optimization and system design. Noteworthy involvement in developing an AI-augmented code optimization framework and a performance predictor project during BSc. Combines technical prowess with data annotation and model evaluation finesse, poised to thrive in AI innovation.