Senior AI Engineer

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions across our products and platforms. As a senior member of the team, you will be responsible for solving complex problems using AI technologies, mentoring junior engineers, and collaborating cross-functionally with product, data, and engineering teams to deliver scalable and impactful AI-driven features. Key Responsibilities: Design and develop advanced machine learning models and deep learning architectures for real-world problems. Lead AI/ML system design, including data pipelines, model training workflows, evaluation strategies, and deployment frameworks. Conduct research and experimentation with new algorithms, tools, and technologies to enhance the company's AI capabilities. Collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions. Mentor and guide junior AI engineers and data scientists, fostering best practices in coding, experimentation, and model deployment. Optimize and monitor model performance in production, including addressing issues of bias, drift, and latency. Stay current with AI research, tools, and industry trends, and bring innovative ideas into the team. Contribute to technical strategy and help define the roadmap for AI initiatives. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of production-level projects. Deep knowledge of machine learning and deep learning algorithms (e.g., CNNs, RNNs, Transformers, LLMs). Proficient in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and cloud platforms (e.g., AWS, GCP, Azure). Experience in deploying and maintaining models in production at scale. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving skills and communication abilities. Show more Show less

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