Hire Vetted Data and Analytics Engineers at Upstaff - Page 3

- 10+ years with data and web scraping, data analysis, and crawler development; - Developed 200+ web crawlers for fashion brands and 700+ crawlers for job offer aggregation including Fortune 500 companies; - Led a team of junior engineers in data crawling projects; - Managed scraping infrastructure, data parsing, and cleaning procedures using pandas and regex; - Skilled in Python, PHP, JavaScript, SQL, and tools like Scrapy, Selenium, Pandas, BeautifulSoup, TensorFlow, and Regex; - Analyzed data and built visualizations with Tableau and Power BI; - Experienced with version control (Git) and Agile/Scrum methodologies; - Used reverse engineering, XPath, CSS selectors, and AJAX calls to handle dynamic websites; - Developed software architecture and contributed to test automation; - Worked on projects involving distributed tasks with Gearman, Selenium, Puppeteer; - Stayed updated on web scraping best practices and emerging technologies.

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;

- Highly experienced Head of Data Science with 12+ years of experience in creating and managing DS/ML teams in startups and corporate projects; - Proficient in AI, NLP, Adtech, Fintech, and CV; - Strong leadership skills and a client-oriented approach; - Skilled in Python, SQL, Prompt Engineering, HuggingFace, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex, Spacy, GPT, Plotly, GCP, AWS, Azure, Postgre, MongoDB, BigQuery, and Vector DB; - Proactive in implementing innovative approaches for product features using Generative AI, LLM, and GPT; - Experienced in proposing innovative solutions for new business problems and managing teams; - Holds a PhD in Data Science and a Master's degree in Computer Science.

- 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.

A highly proficient Full-Stack Developer with over 7 years of experience, specializing in AI and NLP applications alongside web development. Adept at optimizing large language models, designing intelligent systems, and developing full-scale software solutions. The engineer's technical skill set encompasses Python, JavaScript, TypeScript, Java, C++, and SQL, with mastery in AI & NLP tools such as Hugging Face and TensorFlow. Their proficiency extends to full-stack development with a focus on MERN stack and Vue.js, demonstrated by a history of delivering high-performance, responsive e-commerce platforms, and proprietary CMS interfaces. With a Bachelor's degree in Computer Science and a strong background in DevOps practices, cloud platforms, and deployment technologies, the candidate has a proven track record of enhancing backend performance and streamlining deployment pipelines, positioning them as an asset for technically demanding roles.

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.

Software engineer with over 5 years of full-stack development experience in healthcare, aviation, and analytics domains. In-depth knowledge of cloud-native technologies, microservices, and scalable architectures, backed by a Master of Science in Information Systems. Demonstrated ability to integrate AI models and deliver high-impact automation workflows. Proficient in Java, Python, React, and Node.js, complemented by strong experience with AWS, GCP, Docker, Kubernetes, and CI/CD implementations. Remarkable accomplishment includes the development of AI-powered microservices that increased system accuracy, and the execution of end-to-end CI/CD workflows for enterprise-grade applications.

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.

- IT experience starting in 2012; middle frontend developer since 2015. - Experience with the full lifecycle of designing, developing, installing, configuring, and maintaining applications on SharePoint 2016/2019, 2019 Online, Office 365, Power apps, Dynamics CRM, Power BI - Upper-Intermediate English

- 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 a robust background in full-stack development and proven expertise in Java and Python. Demonstrated success in architecting and implementing high-transaction APIs with low latency in Java/Spring Boot, and optimizing ETL pipelines using Python/Airflow. Experience includes substantial cost reductions and performance enhancements in cloud environments, AI-driven application development, and leading large-scale software migrations and modernization projects. Holds a master's degree in Computer Science and possesses advanced certifications from prominent institutions, encompassing Java, AWS, and Docker, accompanied by a strong foundation in Agile methodologies.

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.

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

- Senior Machine Learning Engineer with extensive experience in providing innovative machine learning solutions and automation. - Experience with ontology enrichment & transformation, Named Entity Recognition, recommendation systems, sentiment analysis - Experience with Data Engineering stack - Advanced skills in Python, Flask, FastAPI, Redis, Postgres, TensorFlow, PyTorch, Elasticsearch, Docker, and Hugging Face. - Proven track record in data analysis projects implementation.

With a Ph.D. in Computer Science and a comprehensive background in Electrical and Electronics Engineering, this candidate has over two decades of adeptness in AI, cloud computing, and big data analytics. The engineer is skilled in strategic project management, with a strong focus on the application of machine learning pipelines and cloud infrastructure development. Technical proficiencies include expertise in NLP, data analysis, IoT, and using advanced cloud platforms like AWS, Google Cloud, and Microsoft Azure. The candidate's teaching experience and substantial contributions to industry publications underscore a balanced blend of practical and theoretical knowledge. The engineer's prior roles demonstrate significant leadership in shaping AI strategies and guiding data-driven innovations.

Expertise in Python, SQL, and ML web applications with a focus on practical applications in fields like AI and computer vision. Proven track record in AI with projects at DeepLogic AI, including creating an ML Web app for classifying blastocyst embryos and implementing LLM for in-house document processing. Further experience includes feature extraction via PySpark at Tata Digital, and exploiting BERT for NLP tasks at Concentrix. Academically grounded with a Master's in CS from Columbia University and a BTech in Math/CS from Delhi University. Holds AWS accreditations, demonstrating proficiency in cloud architectures, EC2, S3, and RDS. Skilled in end-to-end software development, including full-stack abilities shown at Datacultr with Django and PostgreSQL.

Software Engineer with a comprehensive Computer Science education and 9 years of experience in Fin-tech, E-Commerce, and Investment domains. Technical proficiencies include Python, JavaScript, TypeScript, and Go, with notable expertise in backend frameworks like Django and Flask, and data engineering tools such as Apache Spark and Airflow. Experienced in cloud environments, particularly Azure and AWS, providing scalable data processing solutions. Strong DevOps skill set with Docker, Kubernetes, and CI/CD implementation ensuring robust deployments. Proven track record in projects that demand seamless backend development, efficient data pipeline construction, and cloud infrastructure automation.

Versatile Software Engineer with 9 years of experience, bringing a strong background in computer science, particularly in backend development, data processing, and cloud services. Specialized in Python and proficient with frameworks like FastAPI, Django, and Flask. Has engineered complex ETL pipelines, optimized databases including PostgreSQL and Redis, and implemented cloud solutions using AWS and Azure. Excelled in DevOps practices with tools such as Docker, Kubernetes, and Terraform. Demonstrated capability in building scalable, secure applications and services, evidenced by successful project delivery in domains such as e-commerce, human resources, and cybersecurity. With hands-on experience in Stripe payment systems and expertise in system integration, this candidate is equipped to tackle challenging roles in the tech industry.

The engineer boasts a robust technical background with 8 years of DevOps expertise, underpinned by a Computer Science and Software Engineering education, and a proficiency in English at B2 level. With a comprehensive mastery of cloud platforms including AWS, Azure, and GCP, the engineer has demonstrated advanced skills in infrastructure automation using Terraform, Ansible, and Kubernetes. Additionally, they hold a suite of certifications that include Azure Fundamentals, Administrator Associate, DevOps Engineer Expert, and Solutions Architect Expert from Microsoft. The engineer's project experience showcases a strong command of CI/CD processes, using tools like Azure DevOps and GitLab CI, and a deep understanding of containerization with Docker. They are also proficient in data engineering tools such as Kafka and experienced in monitoring and logging with solutions like Zabbix and Grafana. This amalgamation of hands-on project roles and technical acumen positions them as an exceptional candidate for complex, multi-cloud DevOps engineering roles.