Position : Senior AI Engineer
Experience : 6-10 Years
Location : Bangalore, India
Job Summary :
We are seeking a highly skilled and experienced Senior AI Engineer to join our team in Bangalore. The ideal candidate will have extensive hands-on experience in the entire lifecycle of AI / ML solution development, from data ingestion and model training to deployment and maintenance in a production environment. This role requires deep expertise in machine learning principles, a strong background in software engineering, and a passion for building scalable, high-performance AI systems.
Key Responsibilities :
AI / ML Solution Development :
- Design, build, and deploy production-grade machine learning models and algorithms.
- Develop and maintain robust, scalable data pipelines to support the end-to-end machine learning lifecycle.
- Apply advanced machine learning and deep learning techniques to solve complex business problems.
MLOps and Deployment :
Implement MLOps principles to automate the CI / CD pipeline for machine learning models.Deploy AI models into production environments using technologies like Docker and Kubernetes.Monitor model performance, and resource utilization, and ensure the reliability and integrity of deployed systems.Research and Collaboration :
Stay up-to-date with the latest advancements in AI / ML research and evaluate new tools and frameworks.Collaborate with data scientists, product managers, and other engineering teams to translate business requirements into technical solutions.Provide technical leadership and mentorship to junior engineers.Required Skills :
Programming & Fundamentals :
6-10 years of experience in a software engineering or AI / ML role.Expert-level proficiency in Python.Strong command of data structures, algorithms, and software design principles.Machine Learning & Deep Learning :
Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.Strong understanding of machine learning models, including supervised and unsupervised learning algorithms.Cloud & DevOps :
Extensive experience with at least one major cloud platform (AWS, GCP, or Azure) and their AI / ML services.Experience with MLOps practices and tools for model versioning, serving, and monitoring.Data & Databases :
Proficiency with SQL and experience with various database systems (e.g., PostgreSQL, MongoDB).Experience with big data technologies is a plus.Preferred Skills :
Experience with specific AI sub-fields such as Generative AI, NLP, or Computer Vision.Knowledge of big data frameworks like Apache Spark.Relevant professional certifications (AWS Certified Machine Learning - Specialty).Experience with real-time data streaming technologies like Kafka.Contributions to open-source AI projects.(ref : hirist.tech)
