Senior Consultant

Responsibilities Key Responsibilities :

• Develop, test, and deploy AI models, including those based on Generative AI frameworks.
• Lead and manage the AI team, fostering a positive and innovative work environment.
• Define and oversee the implementation of AI architecture.
• Drive innovation, come up with new ideas and strategies to improve and expand AI capabilities.
• 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 the latest technology trends. Required Skills and Experience :
• At least ten years of experience as an AI engineer or similar role, with significant experience in a leadership and architectural 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.
• Proven leadership skills, including the ability to mentor and develop team members.
• Extensive experience in defining and implementing AI architecture. 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