AI Full Stack Developer Job Openings in Chennai 2025!!!
Standard Chartered announced job vacancy for the post of AI Full Stack Developer. The place of posting will be at Chennai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company |
Standard Chartered |
Required Qualifications |
Graduate |
Skills |
Predictive models, machine learning algorithms
and large language models, Data visualisation tool, Python, etc.., |
Category |
Technology |
Work Type |
Onsite |
Their
Data Scientists use their domain expertise to identify where AI can speed up
operations, reduce costs, increase productivity, personalise the client
experience; and build and deploy AI models. They’re looking for brilliant minds
who are intellectually curious, analytical and willing to learn, with a
numerate background in AI, mathematics, engineering, sciences or related
disciplines.
Θ Positions: AI Full
Stack Developer
Θ Job
Location: Chennai
Θ Salary: As Per Company
Norms
Θ Job Type: Full Time
Θ Requisition
ID: 32957
Roles and
Responsibilities:
- Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
- Define AI business requirements with tangible, measurable and commercial success criteria.
- Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
- Enhance data collection methods through augmentation, normalisation, and outlier removal.
- Recommend appropriate AI solutions and train AI models.
- Deliver self-service dashboards to report on business use case and success criteria.
- Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
- Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.
Required
Skills & Qualifications:
- Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline.
- Predictive models, machine learning algorithms and large language models.
- Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
- Natural Language Processing (NLP).
- Python programming.
- Financial mathematics.
- Time series analysis.
- Data governance and management.
- AI regulatory compliance.
- AI techniques including quantum machine learning.
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