Hire Data Science developers

Daniel is a senior Data Scientist and Data Analyst with over 7 years of hands-on experience in Python, Pandas, Tableau, and classical machine learning (scikit-learn, gradient boosting). He has led end-to-end analytics projects in manufacturing, supply chain, and fintech, building robust ETL pipelines and dashboards. Daniel demonstrates strong communication, stakeholder alignment, and ownership of production, consistently translating complex data into actionable insights. He would be an excellent addition to any team, bringing not only technical expertise but also a collaborative mindset, mentoring capabilities, and a proactive approach to problem-solving.

This engineer has experience with Python, SQL, cloud services, and various data science-related ecosystem tools. He also has a strong understanding of some of the cloud-related MLOps concepts. Brian is adept at effectively managing non-technical stakeholders and communicating complex ideas clearly. Proficient in developing and deploying LLMs, ML models, and pipelines, Brian is a skilled AI engineer as well. Outside of daily work, Brian can be found practicing some sports, including muay thai!

Daniel is a Senior Data Scientist and AI/ML Engineer with 8 years of Python experience specializing in NLP, LLMs, and RAG systems. He builds and deploys production ML solutions end-to-end, with hands-on experience across AWS and GCP. His work focuses on email security, text processing, and scalable ML pipelines handling real-world data and high-volume inference. Daniel is comfortable translating business goals into technical systems and collaborating directly with stakeholders. He also mentors junior engineers and works effectively in startup and client-facing environments.

Faizan is a senior-level engineer with a strong background in applied machine learning and a thoughtful, responsible approach to problem-solving. He combines solid theoretical knowledge with practical expertise across NLP, reinforcement learning, and optimization for complex real-world systems. His experience spans large-scale data processing, model deployment, and multi-objective optimization—ranging from semiconductor design automation to cybersecurity analytics. Faizan consistently demonstrates creativity, depth, and reliability, making him a valuable addition to any team.

Amandeep is a Strong Senior Data Scientist and ML Engineer with around 8 years of experience delivering production-grade machine learning solutions in finance. Her work spans the full ML lifecycle, from data processing and modeling to deployment and monitoring, using Python and a modern data stack. She has hands-on experience with AWS, Azure, and Databricks, and focuses on building scalable, reliable systems. Amandeep works closely with stakeholders, ensuring clear communication, proper validation, and shared ownership of outcomes. She is actively exploring LLMs and next-generation AI tools to broaden her technical scope.

Sarah is a Senior Data Scientist and ML Engineer with 8 years of experience building analytics and machine learning solutions using Python, Pandas, NumPy, and SQL. She has worked across analytics, ML, and data engineering, delivering end-to-end solutions in both structured and ambiguous environments. Her recent experience includes modern ML workflows and early-stage LLM/RAG initiatives. Sarah is particularly effective in greenfield projects, where she combines strong business awareness with hands-on execution and stakeholder collaboration. She communicates clearly, takes ownership naturally, and works well with startup and cross-functional teams.

Tarik is an expert in data engineering, machine learning, and large language models, holding a PhD in Graph Theory. He is also proficient in Python, Pandas, and Scikit-learn, and has successfully designed and delivered advanced NLP and AI solutions, including cutting-edge RAG systems. With a deep understanding of machine learning concepts and exceptional problem-solving skills, Tarik consistently drives impactful results in AI-driven and data-intensive projects!

Omer is a very experienced machine learning engineer with a demonstrated history of working in many quantitative industries, such as Quantitative Finance, and Nanotechnology, backed by a Ph.D. degree in Electrical Engineering. He made a significant impact on the development of the Healthcare sphere through Deep Learning models. Omer is a humble, curious, and responsible person and will be a great addition to any team.

Jefferson is a Senior AI Engineer with 11+ years rooted in NLP and computational linguistics — a rare foundation that shapes how he approaches LLM systems at the data layer, retrieval design, and evaluation. He covers the full AI engineering stack: agentic orchestration (LangGraph, CrewAI, AWS Bedrock AgentCore), RAG pipelines with chapter-aware chunking and semantic retrieval surfaces, and multi-model GenAI workflows with structured quality evaluation. He's taken sole architectural ownership of production agentic platforms at enterprise scale, and brings genuine pre-transformer NLP depth — spaCy, BERT, NER, classical ASR — that most LLM engineers simply don't have. Best fit as the AI/NLP design lead on a RAG or agentic product where retrieval architecture and orchestration quality matter more than raw Python backend throughput.