Machine Learning Engineer II
Nykaa · Posted Sep 30
Beauty, wellness, fashion, and personal care omnichannel retail services
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About the role
The role sits within Nykaa's applied ML engineering function, leading production machine learning across Recommendations, Ads, Search, and new initiatives. The team owns the Inference Engine and works closely with Data Science, platform, and product engineering on serving and GPU workloads. This role leads end-to-end model deployment, GPU-backed deep learning and language-model inference, and reliability and cost ownership for production models.
What you will do
- Inference Engine development and model deployment
- Co-own the Inference Engine roadmap and feature delivery with the platform team: translate Data Science needs into requirements, and contribute to design, implementation, testing, documentation, integration, reliability, and adoption.
- Own model deployment end to end: register artifacts and metadata, version models, validate in staging, coordinate API integration, promote to production, configure defaults, run shadow tests or go-live, and manage monitoring and rollback.
- Set readiness gates for dependencies, feature access, request and response contracts, compute and storage, and load-test latency, throughput, errors, and cost.
- Build reusable real-time and batch serving patterns for feature retrieval, model composition, and pipeline orchestration.
- GPU-based inference and deep learning training
- Lead GPU-backed deep learning and language-model inference; tune runtimes, batching, concurrency, precision, VRAM, and CPU-to-GPU transfers for latency , throughput, quality, and cost.
- Build GPU training and fine-tuning workflows with efficient data loading, mixed precision, multi-GPU execution, checkpointing, and capacity planning; support small language model adaptation and distillation.
- Benchmark utilization, VRAM , p95/p99 latency, throughput, and H100-class versus current GPU options; inform model, capacity, and cost decisions.
- Reliability and technical leadership
- Own SLOs, dashboards, alerts, and runbooks for service health, features, models, latency, errors, and cost; lead incident response and root-cause follow-up.
- Improve resilience and efficiency through capacity planning, autoscaling, caching, graceful degradation, safe rollbacks, and cost reviews.
- Partner with Scientists, platform, and product engineering; review designs and code, mentor engineers, and maintain reusable libraries, standards, and launch guidance.
- Evaluate practical LLM, RAG, and AI-assisted tools for experimentation or operations, with clear quality, privacy, and cost checks.
Skills used in this role
What the employer is looking for
- Strong Python and software engineering skills, with experience building APIs or distributed production services.
- Strong hands-on expertise training, fine-tuning, and serving deep learning models on GPUs using PyTorch or TensorFlow; optimize VRAM, precision, latency, and throughput.
- Experience owning production model deployments, including packaging, versioning, staged validation, monitoring, and rollback.
- Working knowledge of feature stores, low-latency data access, caching, data contracts, and performance profiling.
- Familiarity with AWS, Docker, CI/CD, MLflow, FastAPI or equivalent, Redis or DynamoDB, and observability tooling.
- Technical leadership across teams, clear trade-off communication, operational ownership, and focus on reliability and cost.
Preferred qualifications
- Shared ML platforms, real-time feature stores, vector search, shadow deployments, model orchestration, SLM fine-tuning, or RAG systems.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Nykaa
Nykaa (FSN E-Commerce Ventures) is a premier Indian omnichannel consumer technology platform specializing in beauty, personal care, and fashion products. Founded by Falguni Nayar, the company operates extensive online e-commerce channels alongside a growing nationwide network of physical retail stores. Nykaa also features an array of in-house private label brands and an eB2B distribution division.
- Industry
- E-commerce
- Company size
- 5001-10000 employees
- Founded
- 2012
- Location
- Mumbai, Maharashtra, India
- Funding stage
- Public Company
Funding
Public Company · $156.89M raised
- 2022-11-21Post-IPO Secondary$41.08M
- 2022-11-09Post-IPOUndisclosed
- 2020-11-25Secondary MarketUndisclosed
- 2020-06-01Series H$2.61M
- 2020-05-07Series F$8.88M
Leadership
Founder, Executive Chairperson, Managing Director and Chief Executive Officer
Executive Director and CEO, Nykaa Beauty E-Commerce
Executive Director and CEO, Nykaa Fashion
Chief Financial Officer
Chief Technology Officer
Recent coverage
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