Hire Vetted Data and Analytics Engineers at Upstaff - Page 3

• Full-Stack Developer with 3 years of experience specializing in Blockchain, AI, and Healthcare AI domains, delivering scalable, secure, and modular web and mobile applications.
• Proficient in Python, JavaScript/TypeScript, React, Next.js, FastAPI, Django, PostgreSQL, Docker, and cloud infrastructure (GCP), with strong expertise in asynchronous programming and software architecture design.
• Implemented AI-driven solutions including Retrieval-Augmented Generation pipelines, vector database semantic search, and real-time chatbots integrating LangChain and OpenAI technologies.

• AI/ML Engineer with 3 years of experience delivering production-ready machine learning systems, including real-time generative AI avatars and multi-agent orchestration frameworks.
• Proficient in Python, PyTorch, FastAPI, and LLM ecosystems (OpenAI, LLaMA, LangChain), with strong expertise in deploying scalable AI solutions using Docker and AWS cloud services.
• Skilled in full ML lifecycle: data engineering, model training, deployment, monitoring, and optimization, demonstrated by building an AI-driven ad bid price optimization model and modular workflow systems.

• Full-stack engineer with 7+ years in PHP/WordPress and 5+ years in JavaScript/TypeScript;
• Built data platforms using Python, SQL, ETL pipelines (Airflow, PySpark), and AWS;
• Developed custom WordPress plugins, REST APIs, and data-driven features (tables, reports, analytics);
• Skilled SQL and database design (PostgreSQL/MySQL), including query optimization;
• Experience integrating AI/LLM features into data products and analytics workflows.

AI & Machine Learning Engineer with 8+ years designing and deploying production ML systems in NLP, recommendation engines, forecasting, anomaly detection, and computer vision.

Expertise in Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, FastAPI, Docker, Kubernetes, AWS, and MLOps tools like MLflow and Airflow.

Proven track record building scalable AI platforms, including retrieval-augmented knowledge assistants and real-time fraud detection frameworks.

Strong foundation in computer science with a B.Sc. degree, skilled in end-to-end ML pipelines from data ingestion to model monitoring and API deployment.

Innovative Senior Software and AI Engineer with 13+ years of experience across backend, frontend, mobile development, and system design. Skilled in Python, Node.js, PHP, C#, Java, cloud-native architectures, and modern frameworks including React, Next.js, Angular, React Native, and native Android. Experienced in building scalable applications, developer tools, and intelligent automation that improve SDLC efficiency. Strong background in CI/CD, OOP, performance optimization, and testing frameworks for high-impact engineering teams.

Innovative Senior Software and AI Engineer with 13+ years of experience across backend, frontend, mobile development, and system design. Skilled in Python, Node.js, PHP, C#, Java, cloud-native architectures, and modern frameworks including React, Next.js, Angular, React Native, and native Android. Experienced in building scalable applications, developer tools, and intelligent automation that improve SDLC efficiency. Strong background in CI/CD, OOP, performance optimization, and testing frameworks for high-impact engineering teams.

• Full Stack Developer with 8+ years of experience specializing in JavaScript/TypeScript, React, Next.js, Angular, Node.js (Express, NestJS), and cloud platforms AWS & Azure.
• Proficient in designing scalable architectures, REST & real-time APIs (Socket.IO), and working with RDBMS (PostgreSQL, MySQL) and NoSQL (MongoDB).
• Strong background in Computer Science (Master’s degree) with expertise in OOP, design patterns, UML, and SDLC including Agile and TDD methodologies.

• Over 15 years of expertise in data architecture, ETL pipelines, and AI/ML-driven analytics, with a PhD in Mathematics emphasizing analytical rigor.
• Proficient in Python, SQL/PLSQL, Java, Golang, and modern frameworks like FastAPI, LangChain, and LangGraph, delivering scalable AI and data engineering solutions.
• Led cloud-native microservices and event-driven architectures using Docker, NATS, and CI/CD pipelines across AWS, GCP, and IBM Cloud

• Full Stack Developer with 5+ years of experience in designing and scaling AI-driven and cloud-native web applications using Node.js, NestJS, Angular, and TypeScript.
• Expertise in system architecture design, RESTful API integration, and optimizing performance across SQL/NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis.

• Data Analyst with extensive experience in Big Data technologies, specializing in Microsoft Fabric, Python, SQL, PowerBI, Scala, and R.
• Proven track record in designing and implementing Data Warehouses and Lakehouse architectures (Medallion pattern) with efficient ETL/ELT pipelines using Data Factory and DBeaver.
• Skilled in developing predictive algorithms, machine learning pipelines, and APIs for data-driven applications, enhancing decision-making processes.
• Over 7 years of professional experience managing complex projects in data analytics and construction, demonstrating strong technical and project management capabilities.
• Certified in Programming 101, Microsoft Fabric, BIM Archicad, and PRESTO, with advanced proficiency in data visualization tools like Power BI and Tableau.

• Data Analyst with extensive experience in Big Data technologies, specializing in Microsoft Fabric, Python, SQL, PowerBI, Scala, and R.
• Proven track record in designing and implementing Data Warehouses and Lakehouse architectures (Medallion pattern) with efficient ETL/ELT pipelines using Data Factory and DBeaver.
• Skilled in developing predictive algorithms, machine learning pipelines, and APIs for data-driven applications, enhancing decision-making processes.
• Over 7 years of professional experience managing complex projects in data analytics and construction, demonstrating strong technical and project management capabilities.
• Certified in Programming 101, Microsoft Fabric, BIM Archicad, and PRESTO, with advanced proficiency in data visualization tools like Power BI and Tableau.

• Senior Java Backend Engineer with 10+ years of experience delivering high-throughput, production-grade systems in healthcare and fintech domains.
• Expertise in Java (8 to 22), Spring Boot (2.7 to 3.5), microservices, Hexagonal and Clean Architecture, and SOLID principles ensuring scalable and maintainable codebases.
• Proven track record in architecting backend services, optimizing PostgreSQL performance, and integrating AWS cloud services including S3 and ECS.
• Hands-on experience with real-time big data pipelines processing 20+ TB/day using Kafka, Spark, Hadoop, and Cassandra.
• Strong foundation in computer science with M.Sc. degree and extensive knowledge of RESTful API design, CI/CD pipelines, and test-driven development using JUnit, Mockito, and Jacoco.

• Senior Backend & AI Engineer with 7+ years designing scalable, low-latency distributed systems and GenAI platforms in YC-backed and enterprise environments.
• Expert in Python, FastAPI, Django/DRF, and event-driven microservices, specializing in resilient, self-scaling cloud-native backends using AWS, GCP, and Kubernetes.
• Proficient in Agentic RAG pipelines, LangChain, LLM inference (Ollama/VLLM), vector databases, and real-time data pipelines for fintech and AI-driven applications.
• Led teams and architected high-throughput data systems ensuring 99.9% uptime during transaction spikes and optimized database performance with PostgreSQL, MongoDB, and advanced ORM techniques.
• Holds MCA and PGDCA degrees with a strong foundation in computer science, delivering end-to-end solutions across SDLC, CI/CD, Terraform, and security audits for global clients.

• Software engineer with 4+ years of experience specializing in backend development using PHP, Laravel, Phalcon, and Symfony, delivering optimized web applications and scalable APIs.
• Proficient in database design and management with MySQL, Redis, and Elasticsearch, alongside expertise in queue processing and performance optimization.
• Skilled in cloud infrastructure and DevOps tools including Docker, AWS (EC2, S3, CloudWatch), Azure, Nginx, Linux, and CI/CD pipelines to ensure robust deployment workflows.
• Strong foundation in computer science with a Bachelor's degree, covering algorithms, data structures, design patterns, OOP, SOLID principles, and multiple programming paradigms.
• Experience mentoring developers and integrating complex APIs, with additional knowledge in C++, JavaScript, and machine learning concepts, contributing to diverse project success.

• Senior Machine Learning Engineer with 10+ years architecting scalable AI systems, specializing in deep learning, LLM orchestration, and MLOps across AWS, Azure, and Databricks.
• Expertise in Python, C++, Java, Rust, and Go, with advanced skills in PyTorch, TensorFlow, LangChain, Kubernetes, and distributed computing frameworks.
• Proven track record delivering enterprise-grade AI products including multi-agent LangGraph pipelines, real-time voice tutoring platforms, and decentralized ML infrastructure.
• Strong background in computer vision, NLP, and autonomous systems, with hands-on experience in YOLO, OpenCV, CUDA, and GPU optimization.
• Master’s degree in Computer Science, skilled in CI/CD, containerization, microservices, and compliance-driven software development for high-impact AI applications.

• Senior Backend Engineer with 7+ years of expertise in designing and deploying scalable, secure backend systems and AI-powered platforms using Python, Django, Flask, and FastAPI.
• Proficient in integrating databases (MySQL, PostgreSQL, MongoDB) with ORM tools like Django ORM and SQLAlchemy, and experienced in cloud-native architectures across AWS, Azure, and GCP.
• Hands-on experience in AI/ML, LLM inference, Agentic RAG pipelines, and productionizing intelligent systems for real-time, high-traffic consumer applications.
• Strong engineering background with a Master’s in Computer Application and top academic performance, complemented by leadership roles mentoring development teams and managing end-to-end project delivery.
• Skilled in distributed systems, API development, automation, cybersecurity best practices, and modern software development methodologies ensuring system stability and performance.

• AI/ML Engineer with 8+ years leading projects in computer vision, NLP, and predictive modeling, leveraging Python, C++, and cloud platforms (AWS, Azure, GCP).
• Expertise in designing scalable ML pipelines, time series forecasting, and real-time data processing using TensorFlow, PyTorch, Spark, and MLflow.
• Proven track record managing teams and delivering AI-driven solutions including automated lead generation, chatbot systems, and image-based product classification.
• Strong background in applied mathematics with Master’s degree, skilled in advanced algorithms, ensemble methods, and deep learning architectures (CNNs, Transformers, GNNs).
• Hands-on experience with databases (MySQL, PostgreSQL), containerization (Docker), and cloud-native services for end-to-end ML lifecycle management.

• 15+ years of experience in IT;
• Strong knowledge in Mathematics and physics (over 30 scientific publications);
• Data Engineering and Data Architecture Experience
• System-level programming, OOP and OOD, functional programming;
• Profiling and optimizing code; Writing reliable code; Writing product documentation, supporting products;
• Team working, team leading; Mentoring skills as a senior developer;

• Experienced Data Engineer and BI Developer with 6+ years of expertise in Database Design and Business Intelligence Development.
• Proficient in cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure.
• Skilled in building high-performance data integration and workflow solutions, including ETL operations for data warehousing and supporting OLAP, OLTP, and Data warehouse systems. Experience in optimizing DWH performance and automating data pipelines;
• Modern data engineer skills such as data modeling, data warehousing, data lake, data governance, and data quality.
• Experience with big data technologies such as Hadoop, Spark, and Kafka, and experience with data streaming and real-time data processing.
• Proficiency in SQL and NoSQL databases, Snowflake, and ClickHouse
• Data visualization tools such as Tableau or Power BI.
• Programming languages such as Python, Java, or Scala, and understanding of machine learning concepts, with experience building and deploying machine learning models.
• Experience with CI/CD, data governance, and security best practices.