Hire the Top Freelance Clustering Developers in the World

Steven is a qualified Data Scientist and Data Engineer who develops and deploys full analysis pipelines for Machine Learning and data mining projects on large datasets. He has hands-on experience translating models into business insights and applying data knowledge to real-world business problems. Steven uses various technology stacks to deliver solutions to complex projects using a practical focus and collaborating in cross-functional teams.

Evren is a Senior Java Engineer with 10+ years of experience designing and deploying fault-tolerant, scalable back-end architectures capable of handling significant data and transactional loads. He has led the development of a web-based solution for governmental organizations to seamlessly deliver location-specific emergency notifications to mobile subscribers. With extensive industry experience, Evren is widely recognized for his versatility and ability to readily adapt to new challenges, ensuring software robustness and optimizing customer value.

Ahmed is a senior data scientist with experience in innovative data science projects, including four years at Microsoft where he has worked on projects in the fintech, eCommerce, media, and oil and gas sectors. Ahmed has collaborated with customers' engineering teams and built complete pipelines, including data ingestion, machine learning models, and deployment to production. His industry experience is backed by a master's in computer science and machine learning from a top US business school.

Himanshu is a Senior QA Engineer with over 10 years of total experience, including the last 2+ years focused on Machine Learning projects involving model training, fine-tuning, and deployment. He has worked on end-to-end ML pipelines using TensorFlow, Scikit-learn, XGBoost, and Streamlit, model evaluation, hyperparameter tuning, and performance optimization using metrics like accuracy and loss functions.

Shreerama is an AI/ML Engineer experienced in LLMs, RAG pipelines, and Generative AI. Skilled in NLP, image processing, and end-to-end AI deployment, he builds real-time AI solutions using Python, PyTorch, and TensorFlow. Shreerama has published an IEEE research paper and contributed as a peer reviewer for NetACT 2025.

Senior MLOps & Data Infrastructure Engineer with 5+ years of experience architecting end-to-end production environments for AI/ML workloads. Expert in Model Deployment and Monitoring using AWS SageMaker, including managing real-time endpoints, batch inference, and model versioning via SageMaker Model Registry. Highly proficient in Infrastructure as Code (Terraform & CloudFormation) for automating secure, scalable cloud resources. Proven track record in building high-throughput ETL pipelines with AWS Glue and Airflow to deliver ML-ready datasets while ensuring operational excellence through CloudWatch performance monitoring.

Lead Al/ML Engineer with 12+ years of delivering impactful solutions in AI, ML, NLP, and GenAl, driving end- to-end machine learning initiatives across data engineering, model development, cloud deployment, and real-time production monitoring. Expert in ML pipeline design for classification, regression, clustering, forecasting, and anomaly detection using advanced algorithms (Logistic Regression, Random Forests, XGBoost, SVM, Bayesian Models, Ensemble Methods). Sandeep is skilled in advanced NLP (sentiment analysis, entity recognition, summarization, conversational Al) using transformers such as BERT, GPT-3/4, T5, RoBERTa, LLaMA, Hugging Face. Designs and delivers production-grade GenAl applications with LangChain, OpenAl, advanced RAG pipelines (chunking, retrieval optimization, knowledge graph integration), and vector databases (Pinecone, ChromaDB).

With overall 7.6 years & Data Scientist with 6 years of experience, specializing in advanced analytics,machine learning, deep learning and NLP. Skilled in Python, SQL, MLOps,and data science tools. Adept at translating business needs into data-driven solutions to enhance efficiency and revenue. Strong project management and collaboration skills. Seeking to apply technical expertise and leadership skills to a dynamic, data-driven organization.

Highly skilled and experienced AI and Automation developer with a strong background in machine learning engineering. Uday has a proven track record of architecting and deploying production-grade agentic RAG applications, building AI-powered alert management systems, and developing ML pipelines. Uday is proficient in various technologies including LangGraph, CopilotKit UI, LLM, LangChain, CrewAI, Databricks, and MLflow.

Lalita is a seasoned data engineering & ML/Al professional with ~17 years of experience delivering real-time analytics, big data, & ML solutions across multiple industries. Expertise in the end-to-end project lifecycle, including data infrastructure design, cleansing, transformation, modeling, optimization, QA, and deployment of ETL/data pipelines to SQL/NoSQL warehouses, Delta Lake, and cloud data lakes. Skilled in designing and managing batch and real-time pipelines ingesting data from APIs, legacy systems, IoT sensors, databases, and files, integrating with streaming frameworks. Experienced in workflow orchestration and job scheduling.