AI/ML Engineer

Job Description

Location: On-site | Kathmandu, Nepal

Working Hours: 7 AM – 4 PM | Monday to Friday

Experience Level: 2+ years in AI/ML projects

About KrispCall

KrispCall is reimagining business communication from the ground up: intelligent, global, and AI‑first. As we scale our platform, we’re building a team of innovators to drive AI across voice, speech, and automation workflows.

We’re looking for a hands‑on AI/ML Engineer to join our team in Kathmandu. You’ll build and deploy real‑world ML systems, with a strong emphasis on Voice AI (transcription, speaker recognition, call summaries), while also applying core ML and NLP skills across the product.What You’ll Work On

Voice AI

• Speech‑to‑text pipelines using state‑of‑the‑art ASR (Whisper, DeepSpeech, etc.)
• Speaker diarization and voiceprint matching
• Real‑time noise suppression and audio enhancement
• Building models for call scoring, emotion/sentiment tagging, and talk‑time analytics

General ML & NLP

• Text summarization using LLMs for automated call summaries
• Keyword extraction and intent detection
• Classification and clustering on call metadata
• Experimentation with foundation models (e.g., LLaMA, Claude, GPT‑based APIs)
• Prototyping smart assistants for internal automation and customer‑facing tools

Requirements & Qualifications

• Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or a related technical discipline
• 2+ years of hands‑on experience in designing and deploying ML models in production
• Solid foundation in machine learning theory: supervised, unsupervised, evaluation metrics, data preprocessing
• Strong proficiency in Python and ML libraries:
• PyTorch / TensorFlow
• Scikit‑learn / XGBoost
• Hugging Face Transformers
• Librosa / PyDub (for audio)
• Experience working with ASR or voice datasets (real‑time or batch)
• Familiarity with LLM‑based tools for text summarization and information extraction
• Comfort working with APIs, containers (Docker), and cloud‑based ML infrastructure (AWS/GCP)

Additional Skills (Bonus)

• MLOps experience (MLflow, Weights & Biases, DVC, etc.)
• Experience optimizing models for latency/performance
• Familiarity with real‑time audio processing or WebRTC
• Open‑source contributions or published research

Why KrispCall?

• Direct ownership and impact from Day 1
• Collaborative team culture with deep technical and product thinking
• Opportunity to work at the intersection of telephony, AI, and global SaaS
• A fast‑paced environment that values curiosity, autonomy, and real outcomes.

#HiringNow #AIEngineer #MLEngineer #VoiceAI #SpeechToText #NLPJobs #MachineLearning #DeepLearning #PyTorch #TensorFlow #HuggingFace #TechJobs #StartupOpportunity #KathmanduJobs #NepalTech #OnsiteRole #JoinOurTeam #KrispCall #CareersInAI #TechCareers #LLM #ASR #DataScience