Senior Data Scientist - Artificial Intelligence/Machine Learning

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