Hire the Top 2% of
Remote Forecasting Developers

Brandon C.

Vetted Forecasting developer in the United States (UTC-7)

Applied AI and Machine Learning leader with 10+ years of experience architecting and delivering production AI systems across enterprise software, healthcare, and technology organizations. Combines executive leadership with deep hands-on engineering expertise, designing Retrieval-Augmented Generation (RAG) platforms, LLM-powered applications, NLP solutions, predictive models, and cloud-native AI infrastructure that drive measurable business impact. Proven track record of building AI capabilities from the ground up, leading cross-functional engineering teams, and personally developing scalable AI solutions from architecture through production deployment. Passionate about building trustworthy enterprise AI systems that combine modern LLM capabilities with robust retrieval, evaluation, and production engineering.

Jazz S.

Vetted Forecasting developer in Canada (UTC-7)

I'm a developer focused on meeting client needs to the best of my ability (which is always improving!) In particular, I can help create mobile applications, web applications and cloud applications of any scale. I can also help integrate AI in whatever way is necessary as I've done a lot of work there too. * Has experience building large scale and small scale products from scratch. Worked in startups as well as large businesses like Amazon. * Has experience working with AI, reading research papers, doing the dirty work required to improve my skill set. If I don't know it, I can probably still get it done! * Has experience with building applications for iOS and Android from the ground up. For iOS I have used Swift and React Native, for Android, I currently only have had experience with React Native * Has experience with building websites from ground up. Both the front end and the back end. \* Has experience setting up SQL databases and NoSQL Databases * Has experience creating APIs and integration I do my best to ensure that the work I'm doing will not only meet current client needs, but with also be scalable when the client wants more work done on the project to add features years down the line. So communication is important to me to ensure we're making the right tradeoffs when it comes to design decisions

Yevgeniy D.

Vetted Forecasting developer in the United States (UTC-4)

Dedicated Data Scientist/Applied Research Scientist with over 8 years of experience, with a strong background in causal inference, data science, program evaluation, data analytics, risk analytics, reporting, and predictive modeling. Passionate about leveraging data to drive informed decision-making and skilled in using a variety of methodologies and technologies to extract actionable insights from complex datasets.

Divya B.

Vetted Forecasting developer in the United States (UTC-4)

AI/ML Engineer with 6+ years of experience building production-grade AI systems, full-stack applications, and scalable cloud platforms across education, construction, and enterprise domains. I’m passionate about designing architectures that integrate advanced ML, LLMs, RAG pipelines, and multi-agent systems into real-world workflows that make a tangible impact. With a Master’s in AI and a strong foundation in software engineering, I’ve built and deployed full-stack solutions using React, TypeScript, Flask, Python, Java, and cloud infrastructure (AWS/GCP). My work spans AI workflow design, agent orchestration, retrieval-augmented generation, core ML pipelines, robust backend services, and seamless deployment through containerization and CI/CD pipelines. Key Focus Areas: • AI & ML Systems: LLM fine-tuning, RAG architectures, multi-agent systems, computer vision, reinforcement learning, and core ML pipelines • Full-Stack Engineering: React/Next.js, TypeScript, Python/Flask, Java microservices, GraphQL, REST APIs • Cloud & DevOps: AWS/GCP deployment, Docker, CI/CD pipelines, distributed systems observability • Data & Knowledge Management: Semantic search, vector databases, NLP, and large-scale document understanding 🎓 I also enjoy exploring new AI/ML research, mentoring others, and sharing knowledge on agentic workflows, AI automation, and reinforcement learning. 💻 Explore my AI/ML projects and code: https://github.com/DivyaSri973?tab=repositories

akash S.

Vetted Forecasting developer in the United States (UTC-4)

Hello! I'm Akash Saurabh, a data-driven Data Scientist with 10 years of experience in machine learning, predictive analytics, and AI-driven automation. Proven expertise in building scalable ML models, time-series forecasting, NLP, and deep learning to extract insights and drive business impact. Strong background in data engineering, statistical modeling, and MLOps, ensuring seamless model deployment and operationalization. Adept at leveraging LLMs, fine-tuning models like LLaMA2 with LoRA, and implementing RAG-based AI solutions for decision intelligence. Experienced in Python, SQL, PySpark, TensorFlow, and cloud platforms (AWS, Azure, GCP), with a track record of deploying AI/ML solutions in supply chain, finance, and enterprise automation. WHAT I DO BEST: - Predictive Analytics & Forecasting: Develop and deploy machine learning models for demand forecasting, risk assessment, and anomaly detection. - Data Engineering & Model Deployment: Build ETL pipelines, automate AI workflows, and optimize MLOps processes using Databricks, Snowflake, and Dataiku. - Business Intelligence & Decision Science: Translate complex data into actionable insights, empowering organizations to make data-driven decisions. 💡 Passionate about leveraging data science and AI to solve real-world challenges, I thrive on transforming data into impact. Let’s connect and discuss data science, AI solutions, and business intelligence! 🚀 Beyond work, I enjoy traveling, meeting new people, and cooking. I'm also a trained flute player and am currently exploring standup comedy. Machine Learning : Data Mining, Data Visualization, Machine Learning, Predictive Modeling, Predictive Analysis, Pattern Detection, NLP, Time Series Forecasting, Decision Tree, Random Forest, RNN, CNN, XGBoost, GAN, BERT, Transformer, Regression, Data Analysis, Numerical Linear Algebra, Dimension Reduction  Programming Languages :  Python, SQL, R, Shell Script, Scala, Java, C++  Version Control System :  GitHub, SVN, Jira  CI/CD : Jenkins, Octopus  Project Management/ ITSM: JIRA, ServiceNow   Big Data:  Snowflake, BigQuery, Hadoop, Hive, MongoDB  Visualization Tools: Power BI, Power App, Tableau  Cloud Technology :  GCP, AWS, Microsoft Azure Databases :  MySql, MS SQL Server, Excel  Statistical method : Hypothesis testing, confidence interval, percentile & IQR, ANOVA Test  ERP : CMIS, JDE, AGRIS, SAP, AGTRAX

Paritosh M.

Vetted Forecasting developer in the United States (UTC-4)

I am a senior data scientist with expertise in managing large volumes of data and conducting analysis using machine learning and deep learning techniques. I have worked in the finance and technology sectors, holding advanced degrees and diverse skill sets. My experience includes implementing predictive modeling, facilitating conversations on key trends and risks, and devising work plans for teams. I have also generated trading ideas, deployed real-time data gathering systems, and communicated findings to stakeholders. Additionally, I have developed algorithms for facial movement and speech analysis, improved autonomous driving capabilities, and published research in ML/AI. My skills include programming languages such as Python, Matlab, and R, as well as tools like TensorFlow, PyTorch, and AWS.

Karan B.

Vetted Forecasting developer in Canada (UTC-4)

Machine Learning Engineer with over 6 years of industry experience, including digital-focused roles at Rolls-Royce, and as technical lead at East Africa's largest injection mould-makers. Holds a Master's in Machine Learning from Georgia Tech. Specialized in deploying ML/AI models for predictive analysis and process optimization that solve complex business challenges. Please visit my portfolio at www.ksbcode.com.

Aissam C.

Vetted Forecasting developer in France (UTC+2)

Experienced Senior Data & Cloud Engineer with a passion for optimizing data pipelines and driving cost efficiencies in cloud environments. With a track record of success in handling terabytes of data for global companies, I specialize in designing, building, scaling and optimizing data & ML pipelines to unlock valuable insights while significantly reducing infrastructure costs. Some highlights of my accomplishments include: 💸 - 𝗦𝗮𝘃𝗲𝗱 𝗼𝘃𝗲𝗿 $𝟰𝟬,𝟬𝟬𝟬 𝗶𝗻 𝗰𝗹𝗼𝘂𝗱 𝘂𝘀𝗮𝗴𝗲 𝗰𝗼𝘀𝘁𝘀 through the implementation of optimization strategies and efficient resource allocation. ⚡️ - 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗯𝘆 𝟯𝟬-𝟱𝟬% through pattern detection and optimization techniques. 💎 - Developed agile data pipelines capable of 𝗿𝗮𝗽𝗶𝗱𝗹𝘆 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗻𝗲𝘄 𝗱𝗮𝘁𝗮 𝗮𝘀𝘀𝗲𝘁𝘀 while ensuring their integrity. 🛠️ - Optimized numerous Apache Spark applications and SQL queries to improve performance and enhance data processing efficiency. I get excited about opportunities where I can optimize data pipelines' execution time and associated costs. I am passionate about leveraging new technologies and collaborating with talented teams to deliver scalable solutions that transform raw data into strategic assets.

Yauheniya.AI .

Vetted Forecasting developer in Germany (UTC+1)

Data Scientist specializing in Agentic AI systems with expertise in designing and implementing intelligent agents across research, legal, and web automation domains. Strong background in AI strategy, governance, and implementation across automotive, telecommunications, and public sector organizations.

Christian N.

Vetted Forecasting developer in Germany (UTC+2)

I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.