Career opportunities with eSewa

Senior AI/ML Core Engineer

eSewa Careers
Category Engineering
eSewa Careers
Salary As per company policy
eSewa Careers
Vacancies 1
eSewa Careers
Position type Permanent
eSewa Careers
Job type Fulltime
eSewa Careers
Updated 4 hours ago
eSewa Careers
Deadline 2026-06-19
eSewa Careers
Category Engineering
eSewa Careers
Salary As per company policy
eSewa Careers
Vacancies 1
eSewa Careers
Position type Permanent
eSewa Careers
Job type Fulltime
eSewa Careers
Updated 4 hours ago
eSewa Careers
Deadline 2026-06-19

We are seeking a highly skilled Senior AI/ML Core Engineer to lead the development and scaling of advanced AI and machine learning solutions across critical business platforms. The role focuses on building production-grade AI systems, optimizing ML infrastructure, and driving innovation in large language models (LLMs), intelligent automation, and real-time AI applications. The ideal candidate will combine strong research capability with hands-on engineering expertise to deliver scalable, reliable, and high-performing AI products.

Qualification and Experience

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field
  • 5+ years of experience in AI/ML Engineering, Machine Learning Infrastructure, or Applied AI development
  • Proven experience in building and deploying production-scale AI/ML systems
  • Hands-on experience working with LLMs, deep learning frameworks, and distributed computing environments
  • Experience leading technical initiatives and mentoring engineering teams is preferred

Job Description

  • Design, develop, and optimize core AI products such as Trust Engine, KYC AI, eVA, and intelligent automation platforms
  • Build and deploy scalable AI/ML systems integrating state-of-the-art LLMs and classical machine learning models into production environments
  • Develop and maintain robust ML infrastructure, MLOps pipelines, and model-serving platforms with a focus on scalability, governance, and reliability
  • Implement fine-tuning, retrieval-augmented generation (RAG), embeddings, and vector database solutions for AI applications
  • Optimize model performance, inference latency, GPU utilization, and cloud infrastructure costs
  • Collaborate with research, engineering, product, and infrastructure teams to define technical roadmaps and AI architecture standards
  • Ensure compliance, auditability, monitoring, and observability of production AI systems
  • Drive engineering excellence through best coding practices, architecture reviews, and technical mentorship
  • Support real-time AI processing, distributed data systems, and large-scale model deployment pipelines
  • Continuously evaluate emerging AI technologies, frameworks, and industry trends to improve product capabilities and engineering efficiency

Required Skills

  • Expert-level proficiency in Python with strong understanding of data structures, algorithms, and system design
  • Hands-on experience with PyTorch and/or TensorFlow
  • Strong familiarity with Hugging Face Transformers, scikit-learn, and XGBoost
  • Experience building applications using Large Language Models (LLMs), including fine-tuning, RAG pipelines, embeddings, and vector databases (Pinecone, Weaviate, FAISS, pgvector, etc.)
  • Working knowledge of MLOps platforms and tools such as MLflow, Kubeflow, SageMaker, or Vertex AI
  • Experience with Docker, Kubernetes, and containerized deployment environments
  • Production experience with cloud platforms including AWS, GCP, or Azure, especially GPU/accelerator workloads
  • Strong SQL skills and experience with distributed data processing tools such as Spark, Ray, Dask, Airflow, or dbt
  • Solid understanding of statistics, linear algebra, optimization techniques, and core machine learning theory
  • Knowledge of monitoring, observability, and performance optimization in production AI systems

Benefits of Working as eSewa

  • Stellar opportunity to work with the rising company
  • The amazing and passionate young team, beautiful office space
  • Trust of biggest FinTech company. 
  • One-of-a-kind company culture and growth opportunities to accelerate your career progression.
Apply now
  • Pulchowk, Lalitpur
  • Email: career@esewa.com.np
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