Sterling Wells
Audit Firms / Tax Consultant

Sterling Wells Kathmandu is a sister concern of the UK-based group of fintech companies, chartered certified accountants and chartered tax advisers consisting of UK Property Accountants, Sterling Wells Accountants & UKPA Global. The group represents leading accountancy and advisory firms with two offices in the city of London (UK) and branches in Dubai (UAE) , Kathmandu (Nepal) and Siliguri (India).(We serve clients from more than 57 countries with total assets under our accounting is over USD 5 billion.)

All the work would be for the UK and international clients. You will have to work closely with our team in London and clients based in the UK and various countries around the globe. So, you will get exceptional international exposure.

We are all about our people. Our success depends on hiring, training, and retaining exceptional talents. We encourage and support both your professional & personal development and continuous learning & training. We invest heavily in our people.

Each employee MUST spend a minimum of 180 hours (the equivalent of one month of working time) on training courses annually. We have a structured training and development program suited to each employee on both technical and non-technical skills.

We have a fully equipped kitchen in the office and provide lunch, barista coffee & tea.

We provide medical and accident insurance facilities to all our staff.

Due to the rapid growth in the business, there would be plenty of opportunities for career progression for the right candidate.

For further details, visit our websites:

https://www.ukpropertyaccountants.co.uk/
https://sterlingwells.com.np/
http://sterlingwells.co.uk/
https://ukpa.in/

AI / ML Engineer

Views: 152 | Apply Before: 2 weeks from now

Basic Job Information

Job Category	:	IT & Telecommunication
Job Level	:	Mid Level
No. of Vacancy/s	:	[ 3 ]
Employment Type	:	Full Time
Job Location	:	Tinkune, Kathmandu
Offered Salary	:	Not Disclosed
Apply Before(Deadline)	:	Jul. 09, 2025 23:55 (2 weeks from now)

Job Specification

Education Level	:	Under Graduate (Bachelor)
Experience Required	:	More than 2 years
Professional Skill Required	:	AWS Artificial Intelligence (Ai) Data Algorithm Machine Learning (ML) Cloud Computing

Other Specification

Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch)
Demonstrated knowledge of generative models (GANs, VAEs, LLMs) and NLP
Solid understanding of machine learning algorithms and data pre-processing techniques
Knowledge of cloud computing and AI deployment (AWS, Google Cloud)
Excellent problem-solving, analytical, and creative thinking skills

Preferred Qualification:

Bachelor’s or master's in computer engineering, AI/ML, Data Science, or related field.
Experience with tools like LangChain, LlamaIndex, or Haystack.
Experience with vector databases or document search pipelines (RAG).
Contributions to open-source LLM/NLP projects are a strong plus.

Job Description

We are looking for an experienced AI/ML Engineer to develop and optimize AI applications powered by Large Language Models (LLMs). You will work on fine-tuning models, building backend services, integrating vector databases, and collaborating with cross-functional teams to deliver scalable, high-performance AI solutions. This role is ideal for someone passionate about generative AI and deploying real-world machine learning systems.

Key responsibilities:

Develop and maintain machine learning models and algorithms
Write and test code for AI applications
Collaborate with data scientists and engineers to design AI solutions
Optimize AI models for performance and accuracy
Analyze and improve existing AI systems
Create visualizations and reports to communicate project progress and findings
Design and build applications powered by LLMs (e.g., GPT, LLaMA, Mistral).
Develop APIs and backend services to support LLM-based features.
Fine-tune open-source language models using custom datasets.
Implement prompt engineering strategies for specific use cases.
Evaluate and optimize model performance, latency, and accuracy.
Work with vector databases (e.g., Pinecone, FAISS, Chroma) and retrieval techniques (RAG).
Collaborate with frontend, data, and product teams to deliver robust AI solutions

What do we offer:

Competitive salaries
International working environment
Access to Sterling Wells Academy, LinkedIn Learning, and other learning platforms
At least one month of total working time is spent on training and development annually
Rapid growth and promotion for the right candidate
Five working days/week (Monday-Friday)
Office Lunch
Festival Allowance
Paid annual and sick leave.
Provident Fund & Gratuity contribution
Accident & Medical Insurance Coverage
Global Exposure