Hire Vetted Data and Analytics Engineers at Upstaff - Page 4

- Have experience in programming Spring Framework. - Have experience with Microservices architecture. - Practice with Elasticsearch (Kibana); - Experience in the fintech sphere; - Understanding of “Clean code”; - Good logical thinking, self-learning, high level of responsibility. - Responsible, hard-working, result-oriented, creative, and communicative, team player. - Intermediate English. - Availability starting from Asap

This software engineer boasts hands-on experience in cloud technologies, data analysis, and information security, supported by a BSc in Computer Science. Expert in Microsoft security and AWS cloud services, they have effectively managed projects in cloud computing, setting up and monitoring AWS resources with a focus on automation. With proficiency in cybersecurity principles, identity management, and threat protection, their skill set extends to serverless computing, data visualization, and network security. They demonstrate an advanced command of technical tools including CloudWatch, Power BI, and SQL, showcasing the capability to implement data-driven solutions. Their work experience encompasses providing IT support and deploying cloud solutions, evidencing a strong track record in both the educational and corporate sectors. Holding numerous industry certifications, this engineer embodies a blend of technical acumen and practical experience, making them a standout candidate for roles prioritizing cloud infrastructure and cybersecurity.

- 5+ years of experience in Python backend development, focused on distributed systems, REST API design, and microservice architecture; - Experienced with FastAPI, Django, and Django REST Framework, with a deep understanding of framework internals and asynchronous programming (asyncio, Celery, Kafka); - Experience developing and maintaining scalable APIs and high-performance backend services for AI-driven platforms, cryptocurrency systems, and automation tools; - Solid knowledge of RDBMS systems with emphasis on PostgreSQL - database schema design, optimization, and query performance tuning; - Experience with SQLAlchemy (declarative and async modes) and integration of data pipelines across multiple services; - Skilled in Docker-based deployments and cloud environments (AWS, Azure) with hands-on CI/CD setup and monitoring; - Experienced in secure authentication systems (JWT, OAuth2) and real-time data streaming using Kafka and Celery; - Strong command of SDLC, code quality, testing (Pytest), and Agile methodologies; - Experience in AI integration - building and deploying AI agents and workflow automation tools with LangChain, Supabase, and Firebase.

I am a seasoned blockchain developer with proven experience in building, optimizing, and scaling projects across multiple layers and ecosystems. Beyond development, I also bring strategic connections and marketing expertise to help projects succeed from launch to adoption.

Data Scientist/Machine Learning Engineer with over 5.5 years of experience specializing in predictive modeling, analytics, computer vision, and offering a robust background in computer science and software engineering. Technical proficiency in Python and a range of data science tools including Numpy, Pandas, and Machine Learning libraries such as Scikit-learn. Expert in deploying ML models to cloud environments like Azure and AWS. Experience includes implementing custom ML solutions for fraud detection in banking, credit risk analysis in finance, energy consumption forecasting, and telecom subscriber insights. Strong track record in data engineering with Apache Airflow and Spark, and backend development with FastAPI. Practical DevOps and MLOps integration expertise using Docker, Jenkins, and MLflow, and experience with databases like PostgreSQL and Redis. Recognized for enhancing model performance through feature engineering, optimizing hyperparameters, and ensuring model explainability.

Data scientist with over 4 years of experience in implementing scalable ML solutions in finance and tech sectors, with a focus on credit risk and behavior prediction models. Expert in Python, PyTorch, SQL, and leveraging cloud technologies (AWS, GCP). Demonstrable achievements in enhancing churn prediction accuracy and user retention rates through advanced analytics. Proficient in setting up continuous integration and deployment pipelines using Docker, Airflow, and GitLab. Holds a Masters in Data Science and IBM Data Scientist certifications, with a strong foundation in computer science from the University of Lagos. The engineer's technical prowess, coupled with their methodical approach to A/B testing, ML pipeline development, NLP, and recommendation systems, makes them a strong candidate for sophisticated data science roles.

Software engineer with proven expertise in designing robust machine learning and data pipeline components. Key experiences include leading the integration of an agentic AI decisioning solution at Braze and crafting data strategies at WE Foundation. Technically proficient in Python, SQL, Spark, and GCP, with strong foundations in software engineering principles for scalability and maintainability. Demonstrated leadership in advancing team culture, significantly reducing model downtimes at SOK. Credited with innovating AI-driven scheduling solutions at Quinyx, contributing over €350K in annual recurring revenue. Currently finalizing a Master's degree in Business Analytics with hands-on application of Business Intelligence, analytics, and data modeling, poised to deliver high-impact results in technology-driven roles.

Highly skilled MLOps Engineer with extensive experience in building, deploying, and scaling machine learning models in production environments. Proficient with a range of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes), adept at implementing CI/CD pipelines (Jenkins, GitHub Actions) for reduced deployment time by 40%, and well-versed in MLOps/DevOps integration for efficient ML model lifecycle management. Holds a strong foundation in computer science with an M.Sc. degree and multiple certifications including AWS Machine Learning Specialty. Proven track record with project achievements like developing an ETL pipeline for real-time analytics and achieving a 20% reduction in transaction fraud through a real-time fraud detection system.

Software engineer with a strong focus on AI integration and full-stack web solutions. A proven track record in building AI-powered tools and automating core processes, coupled with expertise in cross-platform development and containerization. Extensive experience with Python, Docker/Nginx, and deploying reliable APIs. Actively pursuing a Bachelor's in Computer Science and excelling in hands-on roles such as Software Research Engineer. Achievements include reducing log review time by 70% and improving customer agents' response rate from 45% to 85%. Adept in languages like C/C++, JavaScript/TypeScript, and possesses advanced skills in frameworks like Django and ReactJS.

Engineer with 10+ years’ experience in AI, excelling in NLP, GenAI, computer vision, and model deployment. Expertise in Python, SQL, PySpark, and cloud platforms. Established record of enhancing AI-driven services, improving workflows, and boosting efficiency. Proven capabilities in developing robust ML pipelines, integrating state-of-the-art technologies like LLMs and RAG pipelines, and delivering solutions across diverse industries. Advanced in web and full-stack development, data engineering, analysis, and DevOps practices, underpinned by solid formal education in computer science.

Expert data scientist with a strong engineering background, encompassing advanced competencies in Machine Learning, Data Engineering, and Business Intelligence. Holds an MSc in Computer Science with over 5 years of experience innovating at technology firms such as Interswitch Group and Bluechip Technologies. Proven track record in driving business decisions through data, such as enhancing credit risk models leading to a 12% loan uptake increase and implementing a Transaction Classifier with a 98% success rate. Technically proficient in Python, SQL, and a suite of analytics tools and platforms including AWS services, Sagemaker, and Evidently AI. Demonstrated excellence in employing Machine Learning and DataOps methodologies for project success.

- Applied data scientist and MLOps engineer with 5+ years in PHY security and ML for wireless systems. - End-to-end ML delivery: data wrangling, feature engineering, model development (scikit-learn, PyTorch), evaluation, and CI-friendly deployment. - Built ML-driven performance measurement and scheduling/optimization services; exposed via REST APIs; productionized on Microsoft Azure (ML Studio, Function Apps). - Strong data engineering foundation: SQL modeling and queries (Azure Data Studio), data pipelines, and reproducible experimentation. - Methods expertise: supervised/unsupervised learning, reinforcement learning, adversarial/robust modeling, optimization techniques. - Practical MLOps: containerized services, API design, monitoring-oriented deployment patterns, version control (Git). - Domain background: physical-layer authentication, anti-jamming/anti-spoofing, and federated/edge learning research. - Track record of translating complex problem statements into scalable, measurable data products with clear product impact.

An experienced Full Stack Developer with a strong background in Python, Django, and microservices. With 3+ years of industry experience, the engineer has a proven track record of designing, developing, and deploying scalable web applications across various platforms. Expertise includes backend development, cloud platform integrations with AWS and Azure, and containerization with Docker. The candidate has a robust engineering education with a BSc in Electrical Engineering and an MS in Cyber Security, reinforcing a solid foundation in software development and security. Key achievements include successfully deploying Jenkins for CI/CD, building real-time communication applications using Django Channels and Websockets, and optimizing cloud infrastructure for performance and reliability. This profile boasts advanced knowledge in CI/CD pipelines, Kubernetes orchestration, full-text search integration using Elasticsearch, and payment gateway integrations.

Software Engineer skilled in PHP and Python for back-end development and web scraping, with experience in C++, Linux, Docker, and Git. History of developing APIs and data parsers, with expertise in server management and CMS module implementation. Holds a Software Engineering Associate Degree with focus on core computer science principles. Contributions include a C++ Tic-Tac-Toe project, showcasing proficiency in OOP and game development. Adept in multiple database systems and modern web technologies, with a strong foundation in SDLC and code refactoring.

Accomplished Software Architect and Hands-on Engineering Manager with a strong history of building, leading, and mentoring cross-functional teams in designing, developing, and deploying high-scalability, secure software solutions leveraging cloud platforms, microservices architectures, CI/CD pipelines, and performance optimization strategies. Experienced in both startup environments and well-established organizations, with expertise in architecting reliable distributed systems, implementing best practices, and driving innovation while delivering quality software.

- 12 years of experience in backend development, including leadership roles in cross-functional teams; - Expertise in Scala, Python, and Java (with knowledge of functional programming principles); - Experience in system architecture improvements, leading teams, and developing scalable solutions; - Expertise in PostgreSQL, Oracle DB, MongoDB, and SQL; - Cloud environments such as AWS including performance and scalability optimization; - Docker and Kubernetes for container orchestration; - Apache Kafka for building event-driven architectures; - Led AI-driven projects in areas such as resume parsing, payroll automation, and learning management;

- Senior AI/ML engineer with hands-on experience in GenAI platforms, LLM orchestration, and RAG pipelines; - Skilled in Python and C# for backend services, chatbot architecture, and AI integration pipelines; - Built and deployed RAG systems using Azure OpenAI, AI Search, and LangChain; - Developed Whisper-based transcription pipelines with speaker diarization for business meeting summarization; - Integrated OpenAI models and multimodal embeddings into workflow automation tools like Jira and Trello; - Experience in distributed processing with Celery, RabbitMQ, and Redis for asynchronous task execution; - Deployed scalable AI services in Azure and AWS environments, using Kubernetes, Helm, and Azure DevOps; - Built real-time event processing and notification systems using Kafka and Apache Camel; -Designed APIs and backend services for customer support chatbots, voice platforms, and CRM integration; - Applied prompt engineering, testing (xUnit, pytest), and CI/CD automation across multiple AI initiatives.

* Machine Learning Engineer with over six years of experience in AI and machine learning. * Specializes in recommendation systems, predictive analytics, and computer vision solutions. * Experience with predictive models for demand forecasting and property valuation, optimizing inventory and decision-making processes.

Software engineer possesses robust problem-solving skills and experience in writing scalable code. Specializes in Delphi RAD Studio, with hands-on experience in ETL operations and third-party integration (Kawasaki, Honda, Briggs & Stratton, etc.). Brings proficiency in Azure Cloud Services, Salesforce (Admin + Developer), and diverse programming languages including C and C#. Holds certifications in Salesforce Platform Developer I, Azure Developer Associate, and Azure DevOps Expert. Educational background includes a BS in IT and an M.Sc in Criminology & Security Studies. Over 4 years of experience as a Senior Software Developer and adept in SMS/Email systems, payment gateways, and accounting software integrations.

Software engineer with a strong foundation in computer engineering and practical experience in developing scalable applications. Showcases expertise in Python, Flask, FastAPI, and an array of frameworks including Docker and Celery. Proven track record in optimizing data retrieval and processing, exemplified by a 50% performance increase and reduced RAM consumption at Crest Data. Innovatively implemented AI solutions, such as the Netskope AI plugin with Amazon Bedrock, and contributed to machine learning projects during an internship. Holds a solid educational background with a Bachelor's degree in Computer Engineering, boasting a high CGPA of 8.6. The engineer's work through hackathons and personal projects, geared towards automating compliance and transforming flight booking datasets using LLMs, further distinguish their profile as both skilled and innovative in the field of software engineering.

A proactive software engineer with a specialty in backend development and competitive programming. Proficient in Java, C++, Python, JavaScript, SQL, and skilled in using backend technologies such as Node.js, FastAPI, Flask, and Django, with basic knowledge in Spring Boot. Extensive practice with databases like PostgreSQL, MySQL, and MongoDB and tools such as Docker, Git, and Postman. Exhibits a strong foundation in computer science education with B.Tech majoring in AI and Data Science. Demonstrates experience in RESTful API design, MVC architecture, and unit testing, having applied these in practical projects like SheRide cab app and Dijkstra & A* Pathfinding Visualizer. Acknowledged for technical prowess by ranking Top 10 in the Smart India Hackathon 2024 and reaching the finals in SUSTAIN-A-THON 2024. Holds a solid grasp of software engineering principles, evidence by hands-on project experience and achievements in the field.

- Senior AI Engineer with 11+ years of experience in software development and intelligent systems; - Experience in building Retrieval-Augmented Generation (RAG) pipelines using OpenAI, Mistral, and Azure AI stack (Cognitive Search, AI Speech); - Skilled in developing an AI voice/chatbot builder with RAG support, knowledge base retrieval, and CRM synchronization; - Experienced in Integrated conversational agents with Twilio, Genesys Cloud CX, and Zoho CRM for end-to-end automation; - Designed multi-agent flows using FlowiseAI, Agentflows, Vector Stores, and Memory Nodes; - Good abilities in backend development with Python, .NET, and Node.js for scalable service integration; - Experienced in front-end development with JavaScript (ES6+), React, Angular, and Vue.js; - Skilled in delivering cloud-native microservices across AWS and Azure, using Docker, CI/CD, and automation tools; - Led feature implementation and mentoring in long-term publishing and analytics systems.

- Senior AI Engineer with hands-on experience in AI and full-stack development; - Experience in building Retrieval-Augmented Generation (RAG) pipelines with Azure OpenAI and Azure Cognitive Search; - Developed multi-agent LLM workflows using FlowiseAI with Agentflows, Chatflows, and Tool Agents; - Skilled in integrated AI chatbots with telephony platforms such as Genesys Cloud CX, VoxImplant, and Twilio; - Experience in creating seamless integrations between Genesys Cloud CX, Zoho CRM, and OpenAI for automated user interactions and data sync; - Experience in backend development using Python, C#, and .NET; - Skilled with Node.js, RESTful APIs, and building scalable backend services; - Abilities front-end background with JavaScript, TypeScript, HTML/CSS, and jQuery.

Software Engineer with 4+ years of experience specializing in Electronics and Communication Engineering, with a solid background in AI/ML, automation, and efficient database management. Known for developing an AI Interviewer Bot at Infosys and enhancing system performance at Accenture, including a 98% reduction in manual workload through Python scripting. Skilled in Python, PL/SQL, C#, and cloud technologies, with expertise in building REST APIs and deploying machine learning models. Recognized for leading a migration from Jenkins to GitHub Actions, optimizing batch processing by 75%, and holding certifications such as GCP Associate Cloud Engineer. With a B.Tech in Electronics and Communication, complemented by a Nanodegree in Programming for Data Science, this engineer stands out with a blend of technical prowess and innovative problem-solving abilities.

- Data Scientist with 4+ years of experience in AI and machine learning; - Specialized in NLP, time series forecasting, and generative AI; - Built RAG systems using OpenAI, Langchain, and custom pipelines; - Developed multi-agent systems for sales enablement, education, and virtual assistants; - Proficient in Python, SQL, and ML libraries like Pandas, Sklearn, Keras, and PyTorch; - Created legal assistants with HuggingFace models and citation-based RAG responses; - Built voice-based chatbots using OpenAI Whisper and ElevenLabs for voice cloning and audio processing; - Designed pipelines for text-to-speech and image generation in mobile and cloud environments; - Extracted and analyzed financial data using AWS Textract and OpenAI VLMs; - Built production-ready support bots using Dialogflow CX, Twilio, and Google Firestore; - Experienced with AWS and GCP for scalable model deployment.

- Data Scientist with a focus on Natural Language Processing and 16 years of experience in the IT industry; - Experienced in designing cloud-based architectures using BigQuery, Vertex AI, Cloud Functions, Datastore, and Cloud Storage; - Applies machine learning and deep learning techniques to solve problems in NLP, computer vision, and time series analysis; - Solid foundation in unsupervised learning methods, including clustering, anomaly detection, and recommender systems; - Skilled in full-cycle solution design, from requirements gathering to development and deployment; - Specialized in Generative AI, building advanced algorithms and models to address complex tasks using generative techniques; - Experience in ML model development for prediction, classification, and optimization use cases; - Proficient in Agentic AI, creating autonomous systems powered by LLMs for decision-making and workflow automation; - Experienced in text-to-speech technologies and implementation; - Experience with cloud platforms, including AWS (S3, EC2, Lex, Lambda, EMR), Azure OpenAI, and Google Cloud; - Developed applications across macOS, Linux, and Windows environments; - Creative and results-driven, with strong analytical, communication, and presentation skills.

An experienced software engineer with a solid background in AI and Machine Learning, specializing in data-driven solutions for large customer bases. Boasts advanced proficiency with languages and frameworks like Python, PySpark, TensorFlow, PyTorch, and expertise with Machine Learning Operations (MLOps) tools such as GitHub and Jenkins. The engineer has a proven track record of leading technical teams and managing stakeholder relationships in deploying end-to-end predictive models and ML solutions for key business applications in the telecommunication sector. The education credentials include a Ph.D. in Machine Learning Techniques and a M.Sc. in Automation Engineering from Politecnico di Milano, Italy, supplemented by a strong publication history that demonstrates ongoing contributions to the field.

Accomplished Senior Web & Mobile App Developer with a robust educational foundation, holding a Bachelor of Science in Computer Science from the University of California, Berkeley. Possesses extensive experience with a tenure from July 2020 to August 2023 at Tech Innovators Inc., where contributions led to a 30% increase in user engagement for a million-user cross-platform app. A tenure as a Full-Stack Developer at Creative Solutions Ltd. from June 2016 to February 2020 resulted in a marked 25% client satisfaction increase. Expertise in a broad spectrum of technologies including WordPress, Shopify, PHP, React.js, Node.js, Android, React Native, and cloud platforms like Google Cloud and AWS. Strong ability in web scrapping, API integration, and database optimization. Proven track record in leading projects, mentoring teams, and fostering a culture of continuous improvement.

I am a high-energy, proactive Java developer with 4 years of hands-on experience in Java technologies. Throughout my career, I have worked on multiple projects, contributing to the development of scalable, efficient, and high-quality software solutions. I thrive in team environments, placing strong emphasis on collaboration and communication with teammates, cross-functional development teams, Product Owners, and Group Managers.My area of expertise includes but is not limited to:Java & Spring Ecosystem: Spring Boot, Spring Security, Spring Data Databases: PostgreSQL, MongoDB, MySQL Authentication & Security: Keycloak, JWT, OAuth2 Containerization & Deployment: Docker, Docker Compose Build & Migrations: Gradle, Flyway Testing & CI/CD: JUnit, TestContainers (learning CI/CD) Version controls: Git OS: Linux and Windows Rabbit MQ GraphQl

Software engineer with a deep foundation in RDBMS design, including extensive experience in developing and bug fixing MySQL. Expertise in client-server protocols, lexical analysis, parsing, and SQL commands. Highly skilled in C and C++, with notable contributions like the MySQL++ API and software critical to the Mars Rover mission. Holds a BSc in Technology, with proficiencies in English, French, Italian, Greek, and Slavic languages. Recognized with numerous industry awards, including the 'MySQL Rock Star 2025'.

- 4+ years of experience as a Data Engineer, focused on ETL automation, data pipeline development, and optimization; - Strong skills in SQL, DBT, Airflow (Python), and experience with SAS, PostgreSQL, and BigQuery for building and optimizing ETL processes; - Experience working with Google Cloud (GCP) and AWS: utilizing GCP Storage, Pub/Sub, BigQuery, AWS S3, Glue, and Lambda for data processing and storage; - Built and automated ETL processes using DBT Cloud, integrated external APIs, and managed microservice deployments; - Optimized SDKs for data collection and transmission through Google Cloud Pub/Sub, used MongoDB for storing unstructured data; - Designed data pipelines for e-commerce: orchestrated complex processes with Druid, MinIO, Superset, and AWS for data analytics and processing; - Worked with big data and stream processing: using Apache Spark, Kafka, and Databricks for efficient transformation and analysis; - Amazon sales forecasting using ClickHouse, Vertex AI, integrated analytical models into business processes; - Experience in Data Lake migration and optimization of data storage, deploying cloud infrastructure and serverless solutions on AWS Lambda, Glue, and S3.

* Data Scientist with a Master’s Degree in Computer Science and extensive experience in machine learning, deep learning, and cloud services ( Azure,AWS and GCP). * 7 years of experience, proficient in building ML pipelines and deploying scalable solutions. * Developed and deployed a voice-to-voice pipeline for a call center VoIP system using Whisper, Llama, and MMS-TTS, including API integrations and Docker deployment. * Implemented a Google Doc AI Wrapper, improving document recognition accuracy through advanced preprocessing techniques. * Designed a deforestation detection system using clustering and Azure-based services to monitor forest areas.