Technology Lead - GenAI

We are currently seeking a Technology Lead with a minimum of 7+ years of experience to reinforce our team. The ideal candidate will have a strong foundation in machine learning, including generative AI, will be responsible for creating AI models, performing data analysis, developing algorithms, managing the team, driving innovation, and defining architecture.

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.

Requirements:

• Five+ 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 and 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.
• Proven experience in leading AI/ML model deployment projects and managing cross-functional teams.
• Proficiency in the Python language.
• Experience in front-end and back-end development, data structuring, and project management.
• Educational Qualifications: B. Tech / M. Tech.

Additional Skills:

• Strong problem-solving abilities.
• Ability to interpret research literature and implement algorithms based on business use cases.
• 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.