AI Engineer at Blys

Kathmandu Metropolitan City, Bagamati Province, Nepal -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Java, TensorFlow, PyTorch, Keras, Machine learning, Natural language processing, Deep learning, Computer vision, Statistical modelling, Data structures, Algorithms, Data cleaning, Data preprocessing, Communication skills

Industry

Internet Marketplace Platforms

Description

Role Overview The AI Engineer will play a key role in shaping the company’s future by leveraging AI technologies to enhance the customer experience and drive operational efficiencies across the company. The ideal candidate will bring both technical expertise in AI and a passion for improving user experience, allowing the company to stay ahead in a competitive and fast-paced industry. This position requires collaboration across multiple teams, innovation, and the ability to turn complex problems into real-world AI solutions. Key Responsibilities Design, develop, and implement AI-based models, tools, and algorithms to improve customer products and services. Analyse customer behaviour, preferences, and trends to create AI-driven solutions that personalise and optimise the customer journey. Leverage AI to automate processes, reduce manual effort, and enhance the efficiency of internal operations. Collaborate with cross-functional teams to gather, analyse, and interpret large datasets for actionable insights and AI applications. Identify opportunities for AI integration across various business functions, including customer service, finance, and feedback analysis. Stay up-to-date with the latest advancements in AI, machine learning, and data science to ensure we are leveraging cutting-edge technology. Partner with product, engineering, and data teams to integrate AI solutions seamlessly into products and services. Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s or Ph.D. preferred). At least 2 years of experience in AI or machine learning roles. Strong proficiency in programming languages such as Python, R, Java, and frameworks like TensorFlow, PyTorch, or Keras. Solid understanding of algorithms, data structures, and statistical modelling techniques. Experience with natural language processing (NLP), deep learning, and computer vision (a plus). Expertise in using AI to drive business outcomes, particularly in customer experience and operational efficiency. Ability to work with large datasets, data cleaning, and data preprocessing. Excellent communication skills to work collaboratively and translate technical concepts into business impact. Passion for innovation, problem-solving, and continuous learning. Why should you join us? Fast-growing and exciting start-up with excellent growth opportunities Mission-led company - we want to change the world! World-class team - be part of a young, dynamic team of A+ players Rewarding work - interesting and challenging problems to solve Fun and open culture - we love having fun, learning new things, and helping each other excel Significant influence on company direction and performance - working closely with an experienced team Competitive remuneration package Balanced work hours Advance Salary/ Employee Loan policy Five-day work week Fun team events, including company trips Hiring process and next steps: If this is you, we want to hear from you! Apply now with your resume and cover letter (strictly no agencies) We’re passionate about wanting to attract the very best, which means a rigorous and competitive hiring process. We aim to find talented team members and work with them for a long time. Our hiring process is: Review of your application Task Challenge (sent over email - 2 hours) Technical Interview (2 hours) Offer Formalise with a permanent full-time contract.

Responsibilities

The AI Engineer will design and implement AI models to enhance customer products and operational efficiency. They will collaborate with cross-functional teams to analyze large datasets and integrate AI solutions into business functions.