Technology Lead

We are currently seeking a Technology Lead with a minimum of 5+ 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.

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:

• 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 & 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 Python language

• Experience in front-end and back-end development, data structuring, and project management

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