Job Overview We are seeking a skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models that drive innovation and improve operational efficiency. The ideal candidate will have a strong background in AI, big data technologies, and a passion for leveraging data to solve complex problems. Duties Develop and implement machine learning models to analyze large datasets and extract meaningful insights. Collaborate with cross-functional teams to define project requirements and deliver effective solutions. Conduct data mining and preprocessing tasks to prepare datasets for model training. Deploy machine learning models into production environments, ensuring scalability and performance. Utilize programming languages such as Python and SQL for data manipulation and analysis. Implement ETL processes to streamline data integration from various sources. Monitor model performance and make necessary adjustments based on feedback and evolving data patterns. Stay updated with the latest advancements in AI and machine learning technologies. Requirements Proficiency in machine learning algorithms and frameworks. Strong programming skills in Python; experience with libraries such as TensorFlow or PyTorch is a plus. Familiarity with big data technologies (e.g., Hadoop, Spark) for processing large datasets. Experience with SQL for database management and querying. Knowledge of ETL processes and tools for efficient data handling. Understanding of data mining techniques to extract valuable information from datasets. Experience with statistical analysis software such as SAS is desirable. Familiarity with VBA for automation tasks is a plus. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Join us in shaping the future of technology through innovative machine learning solutions! Job Types: Full-time, Part-time, Contract Pay: $101,500.00 - $165,410.00 per year Expected hours: 20 – 40 per week Benefits: Health insurance Compensation Package: Bonus opportunities Hourly pay Performance bonus Profit sharing Retention bonus Yearly bonus Work Location: Remote