Applied Machine Learning Scientist

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Darwix AI is a GenAI-powered platform transforming how enterprise sales, support, and credit teams engage with customers. Our proprietary AI stack ingests data across calls, chat, email, and CCTV streams to generate:

• Real-time nudges for agents and reps
• Conversational analytics and scoring to drive performance
• CCTV-based behavior insights to boost in-store conversion

IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar

Applied Machine Learning Scientist

This is a core role in our AI/ML team where you’ll be responsible for building the foundational ML capabilities that drive our real-time sales intelligence platform. You will work on large-scale multilingual voice-to-text pipelines, transformer-based intent detection, and retrieval-augmented generation systems used in live enterprise deployments.

• Deploy and fine-tune ASR models such as WhisperX, wav2vec 2.0, or DeepSpeech for Indian and GCC languages
• Integrate diarization and punctuation recovery pipelines
• Benchmark and improve transcription accuracy across noisy call environments
• Optimize ASR latency for real-time and batch processing modes

• Train and deploy NLP models for sentence classification, intent tagging, sentiment, emotion, and behavioral scoring
• Build call scoring logic aligned to domain-specific taxonomies (sales pitch, empathy, CTA, etc.)
• Fine-tune transformers (BERT, RoBERTa, etc.) for multilingual performance
• Contribute to real-time inference APIs for NLP outputs in live dashboards

• Design and test GenAI prompts for summarization, coaching, and feedback generation
• Integrate retrieval-augmented generation (RAG) using OpenAI, HuggingFace, or open-source LLMs
• Collaborate with product and engineering teams to deliver LLM-based features with measurable accuracy and latency metrics
• Implement prompt tuning, caching, and fallback strategies to ensure system reliability

• Own model lifecycle: data preparation, training, evaluation, deployment, monitoring
• Build reproducible training pipelines using MLflow, DVC, or similar tools
• Write efficient, well-structured, production-ready code for inference APIs
• Document experiments and share insights with cross-functional teams

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields
• 3–7 years experience applying ML in production, including NLP and/or speech
• Experience with transformer-based architectures for text or audio (e.g., BERT, Wav2Vec, Whisper)
• Strong Python skills with experience in PyTorch or TensorFlow
• Experience with REST APIs, model packaging (FastAPI, Flask, etc.), and containerization (Docker)
• Familiarity with audio pre-processing, signal enhancement, or feature extraction (MFCC, spectrograms)
• Knowledge of MLOps tools for experiment tracking, monitoring, and reproducibility
• Ability to work collaboratively in a fast-paced startup environment

• Prior experience working with multilingual datasets (Hindi, Arabic, Tamil, etc.)
• Knowledge of diarization and speaker separation algorithms
• Experience with LLM APIs (OpenAI, Cohere, Mistral, LLaMA) and RAG pipelines
• Familiarity with inference optimization techniques (quantization, ONNX, TorchScript)
• Contribution to open-source ASR or NLP projects
• Working knowledge of AWS/GCP/Azure cloud platforms

• Transcription accuracy improvement ≥ 85% across core languages
• NLP pipelines used in ≥ 80% of Darwix AI’s daily analyzed calls
• 3–5 LLM-driven product features delivered in the first year
• Inference latency reduced by 30–50% through model and infra optimization
• AI features embedded across all Tier 1 customer accounts within 12 months

You will be working in a high-velocity product organization where AI is core to our value proposition. You’ll collaborate directly with the founding team and cross-functional leads, have access to enterprise datasets, and work on ML systems that impact large-scale, real-time operations.

We value rigor, ownership, and speed. Model ideas become experiments in days, and successful experiments become deployed product features in weeks.

• Competitive fixed salary based on experience
• Quarterly/Annual performance-linked bonuses
• ESOP eligibility post 12 months
• Compute credits and model experimentation environment
• Health insurance, mental wellness stipend
• Premium tools and GPU access for model development
• Learning wallet for certifications, courses, and AI research access

• Year 1: Deliver production-grade ASR/NLP/LLM systems for high-usage product modules
• Year 2: Transition into Senior Applied Scientist or Tech Lead for conversation intelligence
• Year 3: Grow into Head of Applied AI or Architect-level roles across vertical product lines

careers@darwix.ai

1. Updated resume (PDF)
2. A short write-up (200 words max):

3. “How would you design and optimize a multilingual voice-to-text and NLP pipeline for noisy call center data in Hindi and English?”

4. Optional: GitHub or portfolio links demonstrating your work

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