{"id":3151794,"url":"https://alion.io/job/myntra-principle-data-scientist","title":"Principle Data Scientist","company":{"id":1431,"name":"Myntra","domain":"myntra.com","url":"https://alion.io/company/myntra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-23T12:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T12:35:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We are looking for a strong hands-on engineer who enjoys building platforms, debugging complex distributed systems, and simplifying infrastructure for hundreds of ML and engineering users.\n\nResponsibilities: \nBuild the Platform Behind AI at Myntra: Myntra is looking for a Technical Lead - ML Platform and MLOps to help build the next generation of infrastructure that powers machine learning across Myntra. This is not a conventional MLOps operations role.\nYou will work on some of the hardest engineering problems at the intersection of Machine Learning, Distributed Systems, Kubernetes, GPU infrastructure, Cloud, Developer Platforms and SRE.\nThe platform you build will enable Data Scientists and ML Engineers to move from an idea to production faster: code, features, distributed training, experimentation, model registry, deployment, Inference, Observability.\nYou will have the opportunity to design and build foundational ML platform capabilities used across multiple ML teams, influence platform architecture, solve large-scale infrastructure challenges, and establish engineering standards for how ML workloads are built and operated at Myntra.\n\nRequirements: \n6+ years of strong hands-on software/platform engineering experience.\nStrong programming skills in Python.\nDeep hands-on experience with Kubernetes, containers and Linux.\nExperience building or operating large-scale distributed 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