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 architectureAbility to write robust code in Python and / or JavaExposure (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 plusCollaborate with data scientists and other engineers to integrate AI into broader system architecturesStay current with AI trends and suggest improvements to existing systems and workflowsRun machine learning tests and experimentsExperienced in MLOps.Extend existing ML libraries and frameworksProven experience as a Machine Learning Engineer or similar roleFamiliarity 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(ref : hirist.tech)