Sr AI Engineer

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

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