Machine Learning Specialist

As a Data Scientist at AGDATA, your role involves solving deep technical problems, building cutting-edge solutions, and collaborating with top-notch developers. You must have a holistic view of business and technology, along with strong analytical, design, and problem-solving skills. Ambiguity and challenging tasks excite you, and you are adept at handling nebulous requirements. In this role, you will have the opportunity to: - Design and develop scalable solutions and models, conducting research and testing to create algorithms and predictive models. - Identify trends, patterns, and anomalies in large datasets through extensive data analysis to derive valuable insights. - Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. - Develop processes to store model outputs in an SQL database and ensure seamless integration with reporting systems. - Interpret results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. - Collaborate with teams to understand the purpose, focus, and objectives of each data analysis project. - Implement valuable data-driven solutions for the organization, integrating, testing, tuning, and monitoring solutions using big data tools, cloud platforms, and AI tools like Python, Java, or R. - Mentor and train engineers on AI/ML tools, build processes for AI/ML projects, participate in POCs & tool selection, and collaborate on code bases in Git/ADO. Qualifications required for this role: - Master's degree in computer science, mathematics, engineering, or equivalent. - 8+ years of experience in Data Science. - Proficiency in AI & Machine Learning Tools like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Scikit-Learn, TensorFlow, PyTorch, Keras, and H2O. - Strong programming skills in Python, R, Julia, and SQL. - Experience with data tools such as Pandas, dplyr, ggplot2, Tidyverse, and data table. - Familiarity with Cloud & DevOps tools like AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, Terraform, Pulumi, and CloudFormation. - Knowledge of databases like PostgreSQL, MySQL, MariaDB, and NoSQL. - Additional skills in API Development, Data Cleaning & Transformation, Neural Networks, NLP, Computer Vision, Predictive Modeling, IoT, Blockchain, and Quantum Computing. As a Data Scientist at AGDATA, your role involves solving deep technical problems, building cutting-edge solutions, and collaborating with top-notch developers. You must have a holistic view of business and technology, along with strong analytical, design, and problem-solving skills. Ambiguity and challenging tasks excite you, and you are adept at handling nebulous requirements. In this role, you will have the opportunity to: - Design and develop scalable solutions and models, conducting research and testing to create algorithms and predictive models. - Identify trends, patterns, and anomalies in large datasets through extensive data analysis to derive valuable insights. - Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. - Develop processes to store model outputs in an SQL database and ensure seamless integration with reporting systems. - Interpret results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. - Collaborate with teams to understand the purpose, focus, and objectives of each data analysis project. - Implement valuable data-driven solutions for the organization, integrating, testing, tuning, and monitoring solutions using big data tools, cloud platforms, and AI tools like Python, Java, or R. - Mentor and train engineers on AI/ML tools, build processes for AI/ML projects, participate in POCs & tool selection, and collaborate on code bases in Git/ADO. Qualifications required for this role: - Master's degree in computer science, mathematics, engineering, or equivalent. - 8+ years of experience in Data Science. - Proficiency in AI & Machine Learning Tools like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Scikit-Learn, TensorFlow, PyTorch, Keras, and H2O. - Strong programming skills in Python, R, Julia, and SQL. - Experience with data tools such as Pandas, dplyr, ggplot2, Tidyverse, and data table. - Familiarity with Cloud & DevOps tools like AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, Terraform, Pulumi, and CloudFormation. - Knowledge of databases like PostgreSQL, MySQL, MariaDB, and NoSQL. - Additional skills in API Development, Data Cleaning & Transformation, Neural Networks, NLP, Computer Vision, Predictive Modeling, IoT, Blockchain, and Quantum Computing.