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.
Preferred Skills:
Analytics- Agile- Scrum- Cloud Services ( Azure + AWS+ IBM+ Oracle + snowflake + GCP)- Big Data- API - Integration
