Artificial Intelligence Engineer

Role Overview: As a Senior AI/ML Engineer, you will be an integral part of our dynamic team, leveraging your expertise in machine learning and artificial intelligence. Your primary responsibility will be to develop and deploy scalable ML solutions to address complex business challenges. Collaboration with cross-functional teams will be essential as you design, implement, and optimize AI-driven products and services. Key Responsibilities: - Design, develop, and deploy machine learning models to solve intricate business problems. - Implement MLOps practices for robust and scalable model deployment. - Optimize model performance to ensure scalability and efficiency. - Analyze large datasets to derive meaningful insights. - Develop and select appropriate features to enhance model performance. - Collaborate with data engineers for seamless data integration. - Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products. - Mentor junior team members and provide technical guidance. - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Stay updated on the latest AI/ML technologies and implement new tools to enhance existing systems. - Drive innovation and continuous improvement in AI/ML solutions. Qualification Required: - Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Professional Experience: Minimum of 5 years of experience in machine learning engineering or a similar role. - Technical Skills: Proficiency in Python or R, experience with TensorFlow, PyTorch, or Scikit-learn, familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes), strong understanding of data structures, algorithms, and software engineering principles. - Soft Skills: Excellent problem-solving and analytical abilities, strong communication and teamwork skills. Additional Details: The company offers a competitive salary and benefits package, opportunities for professional growth and development, a collaborative and inclusive work environment, and access to cutting-edge technologies and tools.,