Develop, test, and deploy AI models, including those based on Generative AI frameworks.
Collaborate with the team to design AI systems.
Troubleshoot and improve current AI systems.
Convert business use-cases into technical requirements and implement appropriate algorithms.
Keep up-to-date with latest technology trends. Required Skills and Experience :
At least six years of experience as an AI engineer or similar role.
Proficiency in Python, Node.Js, C#, HTML, and JavaScript.
Experience with AI Libraries / Packages such as Scikit-Learn, TensorFlow, Keras, Pytorch, Pandas, NLTK, OpenCV, WebRTC, LangChain, HuggingFace, and Generative AI frameworks.
Experience with deployment frameworks such as Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git), and DevOps (CI / CD).
Experience with cloud platforms such as IBM Cloud, AZURE Cloud, Google Cloud, and AWS.
Familiarity with Model Ops (AIOps) tools such as Prometheus, MLflow, and Grafana. Additional Skills :
Strong problem-solving abilities.
Ability to interpret research literature and implement algorithms based on business use-case.
Ability to handle multiple competing priorities in a fast-paced environment.
Excellent verbal and written communication skills.Educational Qualifications :
B.Tech / M. Tech / B. Sc / M. S in Computer Science, Machine Learning or MCA, B Stat (Hons.), B Math (Hons.), M Stat, M Math, MS (QE), MS (QMS).PG Diplomas or Research Fellows in Business Analytics or Operational Research are also welcome. Educational Requirements Graduate