AI/ML Engineer

5 hours ago

Hyderabad, India Zen Technologies Ltd. Full time

Job Description Job Description We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy state-of-the-art machine learning models and AI-driven systems. The ideal candidate will have a strong background in machine learning frameworks, programming, and data analysis, coupled with the ability to work in a collaborative, fast-paced environment. Key Responsibilities: Model Development: - Design, implement, and optimize machine learning models for various applications, including prediction, classification, clustering, and recommendation systems. Data Pipeline Management: - Develop and maintain data pipelines, ensuring data is clean, reliable, and suitable for training and testing machine learning models. Research and Innovation: - Stay updated on the latest AI/ML trends, techniques, and tools to drive innovation within the team. - Prototype and test new algorithms and methods to solve complex problems. System Integration: - Collaborate with software engineers to integrate AI/ML solutions into existing platforms and applications. Performance Monitoring: - Monitor and analyze the performance of deployed models, implementing improvements as needed to maintain high accuracy and efficiency. Collaboration: - Work closely with cross-functional teams, including data scientists, product managers, and business analysts, to align AI/ML solutions with business objectives. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. - Strong programming skills in Python, R, or similar languages. - Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Proficiency in working with large datasets and databases (SQL, NoSQL, etc.). - Solid understanding of algorithms, data structures, and mathematical concepts (linear algebra, probability, statistics). - Experience with cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment. - Strong problem-solving skills and attention to detail. Preferred Qualifications: - Experience with natural language processing (NLP) or computer vision (CV) techniques. - Familiarity with MLOps practices and tools. - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). - Published research or contributions to open-source AI/ML projects.

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