Machine Learning Engineer

Job Overview We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking data science team. In this role, you will leverage cutting-edge AI and machine learning frameworks to develop, train, and deploy sophisticated models that drive impactful insights and solutions. Your expertise will help transform complex data into actionable intelligence, empowering our organization to stay at the forefront of technological advancement. This position offers an exciting opportunity to work with big data technologies, natural language processing, and cloud-based platforms, all while contributing to innovative projects that shape the future of data-driven decision-making. Duties Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools to solve real-world problems across various domains. Implement unsupervised learning techniques to uncover hidden patterns and insights within large datasets. Collaborate with cross-functional teams to integrate models into production environments through model deployment strategies and APIs. Conduct data mining and ETL (Extract, Transform, Load) processes to prepare large-scale datasets for analysis and model training. Develop scalable data pipelines utilizing Hadoop, Spark, Talend, and Bash scripting to handle big data efficiently. Design and maintain databases with optimized schemas for storing linked data, ensuring high performance for analytics applications. Apply natural language processing (NLP) techniques to enhance text analysis capabilities and support AI-driven language understanding projects. Utilize cloud platforms like AWS for model training, deployment, and management while ensuring security and scalability. Analyze complex datasets using SQL, R, SAS, and Looker to generate actionable insights for business strategies. Stay current with advancements in machine learning frameworks, quantum engineering concepts, and analytics methodologies to continuously improve model accuracy and efficiency. Experience Proven experience in developing machine learning models using Python with frameworks such as TensorFlow or similar tools. Strong background in big data technologies including Hadoop, Spark, and related ETL processes. Hands-on experience with cloud services like AWS for scalable model training and deployment. Proficiency in SQL for data querying alongside experience with database design principles. Familiarity with natural language processing (NLP), AI techniques, and linked data concepts. Knowledge of programming languages such as Java or C for integrating models into larger systems is a plus. Experience working with analytics tools like Looker or VBA for reporting purposes. Ability to perform data mining tasks effectively while managing large datasets efficiently. Strong understanding of machine learning workflows from data preprocessing through model evaluation and deployment. Excellent problem-solving skills combined with a proactive approach to staying updated on emerging technologies in quantum engineering, big data analytics, and machine learning frameworks. Join us if you're passionate about harnessing the power of AI to solve complex challenges! We're committed to fostering an inclusive environment where innovation thrives - empowering you to make a meaningful impact through your expertise in machine learning engineering! Pay: $125,251.10 - $145,119.61 per year Work Location: In person #J-18808-Ljbffr Socket.dev