About the job

About Us:

Assabet Technologies Pvt. Ltd. is a Kathmandu-based software development and IT services company with a growing presence in Nepal and the U.S. We specialise in automation, data security, and enterprise software, helping businesses scale with future-ready solutions. Through strategic partnerships and cutting-edge innovations, we deliver high-quality, user-friendly applications that enhance efficiency, security, and digital transformation across industries.

About the Role:

We are looking for a skilled NLP Engineer (AI/ML) to develop and optimize natural language processing (NLP) solutions for healthcare applications. You’ll work with large language models (LLMs) and unstructured health data to extract insights from medical enquiries, clinical notes, electronic health records (EHRs), and medical literature. Your work will drive better patient outcomes and informed decision-making across the healthcare ecosystem.

Key Responsibilities:

• Design and develop NLP solutions for extracting, classifying, and summarising medical data from EHRs, clinical notes, transcriptions, and literature.
• Fine-tune and integrate LLMs (GPT-4, LLaMA 2, Mistral, etc.) for healthcare-specific use cases.
• Build pipelines for entity recognition (symptoms, diagnoses, medications), relation extraction, summarization, and question-answering.
• Collaborate with clinicians, data scientists, and product teams to develop impactful AI-driven solutions.
• Ensure compliance with healthcare data privacy and security standards.
• Leverage healthcare-specific ontologies and terminologies to enhance NLP performance.
• Develop scalable ML/NLP services and APIs for production environments using cloud platforms (AWS, GCP, Azure).
• Optimize model performance through monitoring, A/B testing, and continuous improvement cycles.
• Follow best practices in software engineering, including version control (Git), CI/CD, testing, and documentation.
• Stay up to date with advancements in NLP, LLMs, and clinical AI research.

Preferred Qualifications:

• 4+ years of experience as a Data Scientist, AI/ML Engineer, or NLP Engineer, with a focus on applied machine learning and NLP.
• Master’s or Ph.D. in Computer Science, AI/ML, Data Science, Bioinformatics, or a related field.
• Hands-on experience with LLMs (GPT-4, LLaMA 2, Mistral) in production environments, preferably in healthcare or life sciences.
• Proficiency in Python and frameworks like PyTorch, TensorFlow, spaCy, Transformers (Hugging Face), etc.
• Strong understanding of NLP techniques, including text preprocessing, entity recognition, summarization, and semantic search.
• Experience deploying models on cloud platforms (AWS, Azure, GCP) and working with big data tools (Spark, Dask, etc.).
• Familiarity with healthcare data formats and standards (HL7, FHIR, C-CDA).
• Knowledge of vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) pipelines.
• Solid grasp of MLOps, including containerization, CI/CD, monitoring, and model versioning.
• Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical teams.

Bonus Qualifications:

• Experience in medical chatbot development or clinical decision support systems.
• Background in medical image + text fusion, multimodal AI, or reinforcement learning for healthcare.
• Publications or open-source contributions in healthcare AI/NLP.
• Experience working with de-identified clinical datasets (e.g., MIMIC-III, n2c2).

What We Offer:

• Competitive Salary & Benefits
• Five Working Days (Monday to Friday, 8 hours/day)
• Complimentary Lunch, Tea, and Coffee
• Challenging & Rewarding Projects
• Growth & Learning Opportunities
• A Dynamic & Collaborative Team
• Supportive Organisational Culture

Assabet Technologies is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace where all qualified applicants are considered for employment without regard to race, ethnicity, gender, age, disability, or any other protected status. We encourage individuals from all backgrounds to apply.