Ai Ml Engineer
STL Digital · Panaji · onsite · Posted 1d ago
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About this role
Sr. Software Engineer
Experience : 3+ Yrs
Location : Goa
Work Mode: WFO
Enterprise Applicat ions, Automat ion and Applied AI
Role Overview
The Sr. Software Engineer designs, develops, integrates and supports secure enterprise applications, automation platforms,
data solutions and AI-enabled products. The role converts business requirements into scalable technology solutions that
improve operational efficiency, process visibility and data-driven decision-making.
Key Responsibilities
- Design, develop, test, deploy and maintain enterprise web applications, portals and business solutions.
- Develop and integrate solutions using Artificial Intelligence, Machine Learning, Deep Learning, Natural Language
Processing, Large Language Models(LLM) and Small Language Models(SLM), AI orchestrations.
- Create intelligent assistants, chatbots, retrieval-augmented generation solutions, recommendation engines and
predictive analytics applications for approved business use cases.
- Integrate applications with SAP, enterprise databases, REST APIs, web services and cloud platforms.
- Design and maintain ETL pipelines, data models and database solutions with appropriate validation, traceability and
performance controls,Develop dashboards.
- Automate business processes using Power Automate and custom workflow solutions.
- Apply secure coding practices and support remediation of cybersecurity, SSL, authentication, authorization, compliance
and VAPT observations.
- Manage releases, application deployment, production support, troubleshooting, root-cause analysis and performance
optimization.
- Prepare solution designs, technical documentation, SOPs, deployment guides, user manuals and knowledge-transfer
materials.
Primary Technology Stack
Programming
Python, SQL,React, Java Script
AI /ML
Machine Learning, Deep Learning, NLP, Generative AI
Language Models
LLM, SLM, Azure OpenAI, OpenAI, LangChain, RAG, agentic AI
solutions,Langgraph,Langsmith,
Data
PostgreSQL, SQL Server, MySQL, ETL and data pipelines
Automation
Power Automate and custom workflow automation
Integration
SAP integration, REST APIs and web services
Analytics
Power BI, data visualization and predictive analytics
Cloud and DevOps
Azure services, CI/CD,MLOps and application deployment
Candidate Profile
- Strong hands-on experience in Python-based application development and enterprise solution delivery.
- Practical knowledge of AI/ML engineering, NLP, LLM/SLM implementation and data-grounded AI solutions.
- Experience with system integration, relational databases, APIs, automation and analytical dashboards.
- Ability to troubleshoot complex application, data, integration and deployment issues.
- Strong communication, documentation, stakeholder collaboration and ownership skills.
Sourced from naukri
Skills
About STL Digital

STL Digital
Bangalore
IN
₹12.1L PA avg
Avg at STL Digital
About
STL Digital is a global IT Services & Consulting company with a strong portfolio of products, platforms & services. At STL Digital, we enable enterprises and industries to reimagine digital transformation.
We work with global businesses to deliver innovative experiences and operational excellence with digital-first technology beyond tomorrow. Our team of industry experts works passionately to create and deliver digital experiences across industries with STLs global presence across India, the US, the UK, Italy, China, and Brazil.
We are Next-gen revolutionaries in the digital products and services space; STL combines over 3 decades of veteran digital transformation experience. We are next-gen disruptors in providing IT solutions and services across industries.
We welcome you to join us in our growth journey and Experience the Future of Digital Transformation.
We are currently hiring for various Roles Globally and in India geography to strengthen our Software and Digital Services Business. Sharing the requirement details for your reference, please reply if you would be interested in this opportunity or can refer any relevant experienced professionals from your network
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Employee ratings
10 reviews
Culture
3.3
Career growth
2.8
Work-life
3.3
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