Senior ML Engineer

Company

Location

Type

Experience

Education

Darwix AI

Transform+

Senior Machine Learning Engineer

high-impact, high-ownership role

Your work will directly power critical product features: from personalized agent nudges and conversation scoring to lead scoring, smart recommendations, and retrieval-augmented generation (RAG) pipelines.

You’ll be the bridge between data science, engineering, and product — converting ideas into models, and models into production-scale systems with tangible business value.

• Develop and fine-tune machine learning models using structured, unstructured, and semi-structured data sources.
• Work with models across domains: text classification, speech transcription, named entity recognition, topic modeling, summarization, time series, and recommendation systems.
• Explore and implement transformer architectures, BERT-style encoders, Siamese networks, and retrieval-based models.

• Build robust ETL pipelines to clean, label, and enrich data for supervised and unsupervised learning tasks.
• Work with multimodal inputs — audio, text, metadata — and build smart representations for downstream tasks.
• Automate data collection from APIs, CRMs, sales transcripts, and call logs.

• Package and deploy models in scalable APIs (using FastAPI, Flask, or similar frameworks).
• Work closely with DevOps to containerize and orchestrate ML workflows using Docker, Kubernetes, or CI/CD pipelines.
• Ensure production readiness: logging, monitoring, rollback, and fail-safes.

• Design rigorous experiments using A/B tests, offline metrics, and post-deployment feedback loops.
• Continuously optimize model performance (latency, accuracy, precision-recall trade-offs).
• Implement drift detection and re-training pipelines for models in production.

• Translate business problems into ML problems and align modeling goals with user outcomes.
• Partner with product managers, AI researchers, data annotators, and frontend/backend engineers to build and launch features.
• Contribute to the product roadmap with ML-driven ideas and prototypes.

• Evaluate open-source and proprietary LLM APIs, AutoML frameworks, vector databases, and model inference techniques.
• Drive innovation in voice-to-insight systems (ASR + Diarization + NLP).
• Mentor junior engineers and contribute to best practices in ML development and deployment.

• Python (core), SQL, Bash
• PyTorch, TensorFlow, HuggingFace, scikit-learn, XGBoost, LightGBM

• Transformers, RNNs, CNNs, CRFs
• BERT, RoBERTa, GPT-style models
• OpenAI API, Cohere, LLaMA, Mistral, Anthropic Claude
• FAISS, Pinecone, Qdrant, LlamaIndex

• Docker, Kubernetes, GitHub Actions, Jenkins
• AWS (EC2, Lambda, S3, SageMaker), GCP, Azure
• Redis, PostgreSQL, MongoDB

• MLflow, Weights & Biases, TensorBoard, Prometheus, Grafana

• Bachelor’s or Master’s degree in CS, AI, Statistics, or related quantitative disciplines.
• Certifications in advanced ML, data science, or AI are a plus.

• 4–8 years of hands-on experience in applied machine learning.
• Demonstrated success in deploying models to production at scale.
• Deep familiarity with transformer-based architectures and model evaluation.

• Thrive on solving end-to-end ML problems — not just notebooks, but deployment, testing, and iteration.
• Obsess over clean, maintainable, reusable code and pipelines.
• Think from first principles and challenge model assumptions when they don’t work.
• Are deeply curious and have built multiple projects just because you wanted to know how something works.
• Are comfortable working with ambiguity, fast timelines, and real-time data challenges.
• Want to build AI products that

  get used by real people

  and

  drive revenue outcomes

  — not just vanity demos.

• Work with some of the

  brightest minds in AI

  , product, and design.
• Solve AI problems that push the boundaries of real-time, voice-first, multilingual enterprise use cases.
• Direct mentorship from senior architects and AI scientists.
• Competitive compensation (₹30L–₹45L CTC) + ESOPs + rapid growth trajectory.
• Opportunity to shape the future of a

  global-first AI startup

  built from India.
• Hands-on experience with the most advanced tech stack in applied ML and production AI.
• Front-row seat to a generational company that is redefining enterprise AI.

Ready to build with us?

Send your resume, GitHub/portfolio, and a short write-up on:

people@darwix.ai

Senior ML Engineer – Application

We value speed, honesty, and humility. We ship fast, fail fast, and learn even faster. This role is designed for high-agency, hands-on ML engineers who want to make a difference — not just write code.

own real impact

Darwix AI – GenAI for Revenue Teams. Built from India, for the World.