Hire Vetted Data and Analytics Engineers at Upstaff - Page 2

- 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.

Computer Science graduate with a record of developing full-stack systems to combat web misinformation, leveraging technologies such as LangChain, FastAPI, and MongoDB. Engineered secure REST APIs in Node.js with JWT for the SplitSmart App, optimizing database performance and spearheading documentation. Conceived a mental health mobile app with real-time chatbot support in Flutter, demonstrating user-experience acumen. Compiled practical experience as a Mobile Money Agent, evidencing proficiency in transaction handling and regulatory compliance. Academically grounded from the University of Malawi, with engagement in leadership roles and proactive community development. Well-versed in Python, Java, JavaScript, along with AI/ML, this candidate is poised for tackling complex challenges in backend development, API design, and system integration.

- 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.

Software engineer with extensive experience in Python development, application support, and financial systems. Strong expertise in technologies such as Django, Flask, Oracle, SQL, and data visualization through Power BI. Proven background in Python script automation and API creation for banking applications, improving operational efficiency by 30%. Skilled in cross-functional team collaboration, version control with Git, and maintaining critical 24/7 financial systems. Adept in machine learning and data science methodologies, poised to contribute to technology advancement in a reputed organization.

Full Stack Developer and AI/ML Engineer with a solid foundation in computer science from the University of the Punjab and over two years of software engineering experience before transitioning to machine learning. Proficient in creating scalable ML pipelines and backend development, with hands-on expertise in Hugging Face, LangChain, and vector databases like Pinecone and FAISS. Technical skill set includes Python, Flask, Django, and cloud services across AWS, GCP, and Azure, with a focus on applying NLP, LLMs (GPT, BERT, LLaMA), and AI automation to practical business processes. Proven track record in ML workflow optimization, MLOps, and DevOps, underscored by significant improvements in automation efficiency, authentication reliability, and data processing times.

- 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 help enterprise teams automate and simplify Oracle data workflows, integrations, and large-scale backend systems. Experienced across healthcare, telecom, logistics, retail, manufacturing, consulting and public sector, I solve database reliability and performance problems for mission-critical applications. Available for remote freelance/contract projects, specializing in PL/SQL, Python, Oracle EBS R12, ETL pipeline automation, and cross-time zone support.

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.

Developing and optimizing model-based and data-driven algorithms for UAV trajectory planning, control, and autonomous decision-making. Combining AI, optimization, and simulation to enable intelligent flight systems.

-Machine Learning and Data Engineer with 10+ years of professional experience - Knowledge of a wide range of programming languages, technologies and platforms, inc Python, JavaScript, C/C++, MATLAB; - Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics; - Determining and analyzing business requirements, communicating with clients and architecting software product; - Solid experience in engineering and design of robust and efficient software products; - Track record of performing as a member of large-scale distributed engineering teams; - Strong knowledge of OOP/OOA/OOD, database modeling; - Experience with cutting edge Semiconductor Engineering; - Proficient in writing and presentation of grants, projects reports and documentation; - Fluent English; - Upper-Intermediate German and Dutch.

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.

With over 9 years of experience, the engineer has established a strong reputation in full stack development, exhibiting prowess in Python, Django, React JS, and front-end JavaScript technologies. They have a proven track record in leading and developing scalable web applications, showcasing competencies in database schema design, backend logic, API creation, and performance optimization. Their educational foundation in Computer Sciences is complemented by their ability to work in team environments, driving projects to successful completion and mentoring junior developers. The engineer possesses practical knowledge of cloud services, version control, data scrapping tools, CI/CD pipelines, and has actively contributed to various projects, demonstrating technical agility across domains such as e-commerce, HR management, sentiment analysis, and more.

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.

A seasoned software engineer with a Master's in Electrical Engineering from Lahore University of Management Sciences and a Bachelor's in Computer Engineering from NUST. Specializing in data science, the engineer has honed skills in Tableau, Microsoft Power BI, and Amazon Redshift, showcasing versatility in data analytics and visualization tools. Fluent in English and Urdu, the candidate possesses full professional and native language proficiencies. Contributing to several research projects, the engineer has a track record in machine learning and automation systems, having led a team of 100+ staff on a major metro transit system and developed a localized Urdu search engine. The candidate's technical portfolio includes optimizing Information Retrieval and ML algorithms for news classification and ad-serving systems, aligned with top-tier research in Smart Data Systems and Intelligent Control.

Senior Software Engineer with a BSc in Computer Science and over 10 years of experience specializing in Python, Django, JavaScript, React, TypeScript, and cloud platforms like AWS and Azure. Demonstrated ability in creating scalable microservice architectures and developing high-performance backend services, with a keen eye for front-end user experiences. Proficient in deploying applications using CI/CD pipelines and proficient in database management with systems such as PostgreSQL. Successfully evolved ML workflows in FinTech, eCommerce, and AI, enhancing operations and boosting performance.

A Senior Full Stack Engineer with a Master's in Information Technology from the University of Central Punjab, distinguished by strong expertise in JavaScript, TypeScript, Python, and notable experience in AI integration. Over 7 years of hands-on engineering practice across various roles in programming and team leadership. Proficiency in full-stack web development, scalable backend architecture, and cloud computing underscored by an excellent track record with Node.js, React.js, Next.js, and NestJS. Possesses extensive knowledge of cloud platforms like GCP and Vertex AI and demonstrates a deep understanding of Agile methodologies, CI/CD pipelines, and DevOps practices. Recognition for effectively leading development teams, mentoring junior engineers, and consistently delivering high-quality software solutions.

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.

Results-driven AI/ML Engineer who transforms data into actionable business insights. Led development of recommendation systems that increased user engagement by 35% and fraud detection models that reduced financial losses by $2M annually. Expert in building scalable ML infrastructure and cross-functional collaboration, with experience managing full ML lifecycle from research to production deployment. Combines strong technical expertise in Python, PyTorch, and cloud technologies with business acumen to deliver measurable ROI through AI solutions.

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.

10+ years of experience in web development, M.Sc in Software Engineering, GAI, LLMs Front-End: Angular, React, Vue.js (JavaScript & TypeScript) Back-End: Node.js, Next.js, TypeScript , PHP Mobile: React Native AWS Cloud infrastructure Control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD). Unit testing, integration testing, and end-to-end testing. Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback. Experience conducting assessments and interviews remotely.

* 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.

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.

- Senior Python/ML Engineer with 10+ years in IT and 8+ years of professional Python experience; - Experienced in API and backend development with Python, data processing using Pandas/NumPy, and automation scripting; - Deep SQL expertise, including query optimization and database operations; - Experience with Apache Airflow, Apache Kafka, and Apache Spark/PySpark for data processing and workflow orchestration; - Strong Skills in ML/NLP frameworks such as TensorFlow, PyTorch, BERT, NLTK, and spaCy; - Extensive AWS experience (S3, Athena, EMR, Redshift, SageMaker) and Kubernetes for scalable deployments; - Built and deployed end-to-end ML pipelines and integrated AI solutions into business workflows; - Leadership as an ML engineering team lead.

Software Engineer with 3+ years expertise in full-stack development, focusing on backend and API integrations. Proficient in Python and JavaScript, with strong experience in Django, Django REST Framework, and FastAPI. Comprehensive knowledge of relational and NoSQL databases, with advanced skills in MySQL. Demonstrable success deploying scalable web solutions on AWS with Docker and maintaining codebases with Git. Practical application of Agile/Scrum methodologies, and a proven track record of producing maintainable, well-documented code for data-driven applications, automated systems, and AI-powered tools. Holds a Bachelor's degree in Computer Science and multiple certifications, showcasing a commitment to professionalism and continuous learning in software engineering.

Software Engineer with a Master's from Sharif University of Technology, specializing in machine learning and predictive modeling, particularly in blockchain data analysis. Technical skill set includes Python, JavaScript, SQL, along with frameworks like Django and FastAPI, and tools such as Docker and Git. Proven expertise in data analysis, machine learning, and web development, with experience designing RESTful API and backend systems. Adept at leveraging modern databases like PostgreSQL, MongoDB, Redis, and implementing agile methodologies for efficient software development. Key projects demonstrate strong capabilities in data pipeline construction, machine learning model development, and creative solution engineering for complex challenges.

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.

A seasoned software engineering leader with over two decades of global industry experience specializing in BFSI, AI-driven digital transformation, and Salesforce. Has an agile and DevOps-focused engineering background with a strong understanding of end-to-end AI workflows. Boasting a history of significant contributions in DevOps pipeline optimizations, cloud technologies, and AI model monitoring. Expertise in navigating complex project management within Agile frameworks. Proven success in leading high-impact AI transformation projects, ensuring scalability and operational excellence. Technical skills include AWS Cloud, Agile + DevOps Integration, and Salesforce, alongside proficiency in implementing Generative AI and LLM solutions.