Machine Learning Engineer

Job Overview: As a Machine Learning Engineer at Cisco, you'll play a crucial role in developing innovative solutions. This position is vital to our company's success, impacting our technology and customer experience. Key Responsibilities: Your daily tasks will include designing, developing, and deploying machine learning models, collaborating with cross-functional teams, and analyzing data to inform product decisions. You'll work on projects such as natural language processing, computer vision, and predictive analytics, and deliver high-quality results. Weekly, you'll attend meetings to discuss project progress and monthly, you'll participate in planning sessions to align with company goals. Responsibilities include: - Developing and deploying machine learning models - Collaborating with data scientists and engineers - Analyzing data to inform product decisions - Working on natural language processing projects - Participating in planning sessions - Delivering high-quality results - Collaborating with cross-functional teams Required Qualifications: You'll need a Bachelor's or Master's degree in Computer Science, Mathematics, or a related field, with 5+ years of experience in machine learning engineering. You should have expertise in Python, TensorFlow, or PyTorch, and experience with cloud-based technologies like AWS or Azure. Preferred Qualifications: Additional skills that would be beneficial include experience with containerization using Docker, knowledge of agile development methodologies, and certifications in machine learning or data science. Skills & Competencies: You should have technical skills in machine learning frameworks, programming languages like Python or Java, and experience with data visualization tools. Soft skills like communication, leadership, and teamwork are also essential. Company Information: Cisco is a leader in technology, with a mission to connect people and businesses. Our team is collaborative, and our work environment is dynamic and supportive. Benefits & Compensation: We offer a competitive salary range, health benefits, retirement plans, and additional perks like PTO and remote work options. Growth Opportunities: You'll have opportunities for career advancement and professional development, with access to training and education programs. Apply through LinkedIn to take the next step in your career.