Kerala Data scientist Jobs – 90 Open Jobs Today

Lead II - Software Engineering - Gen AI Lead
UST —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
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AI Solutions Engineer
Cubet Techno Labs —Infopark-Kochi, Kochi, Kerala
- ₹12 - ₹15 a year
- Full-time
- Azure
- Computer Science
- SQL
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Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
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Team Lead – Artificial Intelligence (AI)
BEO software —Kochi, Kerala
- Full-time
- Azure
- Doctoral degree
- Computer Science
Data AnalyticsTrainer
Beat Center of Excellence —Thrissur, Kerala
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Quick apply
12h
Sr.Data Analytics Faculty
Ofsys Educations LLP —Nilambur, Kerala
- ₹15,000 - ₹25,000 a month
- Full-time
- Microsoft Excel
- Computer Science
- Master's degree
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2h

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Lead II - Software Engineering - Gen AI Lead

UST -
Thiruvananthapuram, Kerala

Quick apply

Job details

Full-time

Qualifications

Jira
Azure
Computer Science
Software deployment
Enterprise Software
Test automation
Google Cloud Platform
Tableau
Master's degree
Databases
Microservices
AWS
Analysis skills
Bachelor's degree
Machine learning
REST
APIs
ServiceNow
Data science
Solution architecture
AI
Communication skills
Python
Data Science
Analytics

Full job description

Role description

Job Description – Generative AI Solution Architect

Experience: 10+ Years
Location: Any UST Location
Employment Type: Full-Time

Role Overview

We are looking for an experienced Generative AI Solution Architect to lead the design and implementation of enterprise-scale AI and GenAI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, MLOps, and Cloud Platforms, with the ability to translate business challenges into scalable AI solutions.

Key Responsibilities

Define and drive the GenAI strategy and architecture aligned with business objectives.
Identify and implement high-impact AI use cases across business functions such as workflow automation, analytics, sustainability, and enterprise operations.
Design end-to-end AI/ML and Generative AI solutions using enterprise architecture best practices.
Develop AI applications using OpenAI APIs, LLMs, RAG, Agentic AI frameworks, and vector databases.
Design scalable AI architectures on cloud platforms such as AWS, Azure, or GCP.
Build AI-powered automation solutions, enterprise knowledge assistants, and intelligent workflows.
Integrate AI solutions with enterprise applications using REST APIs and microservices.
Collaborate with business stakeholders, architects, data engineers, and development teams to define and deliver AI solutions.
Lead technical design reviews, proof of concepts (PoCs), MVP development, and production deployments.
Implement MLOps best practices for model deployment, monitoring, governance, and lifecycle management.
Mentor engineering teams on Generative AI technologies, architecture, and development best practices.
Drive innovation by developing reusable AI frameworks, accelerators, and automation solutions.

Required Skills

10+ years of experience in Solution Architecture or Technical Architecture.
Strong expertise in Generative AI, Large Language Models (LLMs), and AI solution design.
Hands-on experience with OpenAI APIs, Prompt Engineering, Function Calling, Agents, and Retrieval-Augmented Generation (RAG).
Experience with Model Evaluation, vector databases, embeddings, and semantic search.
Strong programming skills in Python.
Experience building REST APIs and microservices.
Experience with MLOps and AI model deployment.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Experience with data platforms such as Snowflake, Databricks, or similar.
Strong analytical, communication, stakeholder management, and problem-solving skills.

Good to Have

Experience with Dataiku or similar machine learning platforms.
Knowledge of Agentic AI frameworks and AI automation platforms.
Experience integrating with enterprise applications such as ServiceNow, Jira, Tableau, or Sigma.
Familiarity with workflow automation and RPA tools.
Knowledge of ESG, sustainability reporting, or enterprise analytics.
Experience with test automation tools such as Playwright or Tosca.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Cloud or AI certifications are an added advantage.

Primary Skills: Generative AI, Large Language Models (LLMs), Prompt Engineering, Python, Retrieval-Augmented Generation (RAG), Vector Databases, Model Evaluation, MLOps, OpenAI, AI Solution Architecture.

Skills

generative ai,model evaluation,vector database,large language model,prompt engineering,python,retrieval augmented generation,mlops

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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Lead II - Software Engineering - Gen AI Lead

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Data AnalyticsTrainer

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