Senior Associate Consultant

Responsibilities Key Responsibilities:•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.•Familiarity with Supervised & Unsupervised Learning, Convoluted Neural Networks, Recurrent Neural Networks (including LSTM), Deep Neural Networks, Progressive Learning, Time-Series Forecasting (including NNs).•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