SYMVOS®
B2B • Cybersecurity • SaaS
SYMVOS® is a leading provider of global people and process solutions, focused on enhancing business operations through digital transformation. The company emphasizes innovation, diversity, and inclusion in its services, which range from business process outsourcing and staffing to cyber security and digital marketing. With a commitment to fostering growth opportunities for clients, SYMVOS employs cutting-edge technologies to address challenges and enable meaningful relationships between brands and their customers.
Machine Learning Engineer
Job not on LinkedIn
December 9, 2024
SYMVOS®
B2B • Cybersecurity • SaaS
SYMVOS® is a leading provider of global people and process solutions, focused on enhancing business operations through digital transformation. The company emphasizes innovation, diversity, and inclusion in its services, which range from business process outsourcing and staffing to cyber security and digital marketing. With a commitment to fostering growth opportunities for clients, SYMVOS employs cutting-edge technologies to address challenges and enable meaningful relationships between brands and their customers.
📋 Description
• This is a remote position. • Job Role: Machine Learning Engineer. • You will be responsible for designing, implementing, and deploying machine learning models and systems that drive business goals and improve operational efficiencies. • Collaborate with cross-functional teams to understand business requirements, collect and preprocess data, and develop scalable machine learning solutions. • This role requires expertise in machine learning algorithms, programming, and software engineering practices. • Design and develop machine learning models and algorithms to solve complex business problems. • Gather, clean, and preprocess large datasets to ensure data quality and suitability for modeling. • Build scalable pipelines for model training and evaluation using distributed computing frameworks (e.g., Spark). • Deploy machine learning models into production environments and integrate them with existing systems and APIs. • Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and align machine learning solutions with business objectives. • Stay updated with advancements in machine learning algorithms, tools, and techniques.
🎯 Requirements
• 5+ years of proven experience as a Machine Learning Engineer or in a similar role. • Strong programming skills in languages such as Python, Java, or Scala. • Experience with machine learning frameworks and libraries (e.g., scikit-learn, Keras, XGBoost). • Proficiency in data manipulation and preprocessing techniques. • Knowledge of distributed computing frameworks (e.g., Spark) and cloud platforms (e.g., AWS, Azure). • Familiarity with software engineering practices (e.g., version control, testing, CI/CD pipelines). • Excellent analytical and problem-solving skills. • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s degree preferred). • Relevant certifications (e.g., TensorFlow Developer Certificate) are a plus.
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