The Senior AI Engineer will design, develop, and deploy AI/ML solutions, mentor junior staff, and collaborate on AI initiatives.
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.
- 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.
Top Skills
Airflow
AWS
Azure
GCP
Hugging Face
Kubeflow
Mlflow
Python
PyTorch
Scikit-Learn
TensorFlow
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
