Inviting applications for the role of LeadConsultant GenAI ML Developer

The Onsite Manager - Workplace Services is responsible for end-to-end management of onsite IT support, collaboration, and digital workplace services. This role oversees Desktop Engineering, White Glove Support, Service Desk & ITSM Tools, Microsoft Teams, SharePoint, OneDrive, and collaboration platforms, with strong ownership of service reporting, analytics, and performance insights. The role ensures operational excellence, SLA compliance, data-driven decision-making, and continuous service improvement

Responsibilities

.Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly.

.Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set.

.Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data.

.Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI%27s applicability in diverse real-world scenarios.

.Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes.

.Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments.

.Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI.

.Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

.Verifying data quality, and/or ensuring it via data cleaning

.Defining validation strategies & data augmentation pipelines

.Designing, developing, and researching Machine Learning systems, models, and schemes

.Good working knowledge on deep learning and advanced NLP techniques

.Analyzing the use cases of ML algorithms and ranking them by their success probability

.Should be excellent with Rasa Framework or any other chatbot interface.

.Performing statistical analysis and using results to improve models.

.Training and retraining ML systems and models in real-world situations

.Visualizing data for deeper insights

.Hands-On with Service / Incident Management tools: JIRA / ServiceNow

.Knowledge and experience with Software Version Control systems: GIT etc.

Qualifications we seek in you!

Minimum qualifications

.B.Tech/B.E/ MCA

.Excellent written and verbal communication skills

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