Posted on: 11/11/2025
Core Responsibilities :
- Translates user stories and functional specifications into logical program designs, code modules, stable application systems, and software solutions in an agile environment.
- Collaborates with key stakeholders including product management, infrastructure and security to ensure that functional specifications are converted into flexible, scalable, and maintainable solution designs
- Collaborate with data scientists and other engineers to integrate AI into broader system architectures
- Stay current with AI trends and suggest improvements to existing systems and workflows
- Run machine learning tests and experiments
- Extend existing ML libraries and frameworks
- Mentors others by applying and sharing an in-depth understanding of company and industry methodologies, policies, standards, and controls
- Proven experience as a Machine Learning Engineer or similar role
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Years of Experience : 4- 8 years
Skill Set Required
Primary Skills (must have) :
- Understanding of data structures, data modeling and software architecture
- Ability to write robust code in Python and/or Java
- Exposure (or Experience) in building scalable analytical solutions by integrating with AI, ML or Large language model (LLMs)
- Knowledge of AI and Large language models will be a plus
- Collaborate with data scientists and other engineers to integrate AI into broader system architectures
- Stay current with AI trends and suggest improvements to existing systems and workflows
- Run machine learning tests and experiments
- Experienced in MLOps.
- Extend existing ML libraries and frameworks
- Proven experience as a Machine Learning Engineer or similar role
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent problem-solving skills and ability to work in a team environment
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