Назад
Company hidden
2 часа Π½Π°Π·Π°Π΄

DS/ML Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
junior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
India
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
TL;DR
DS/ML Engineer (AI): Building and shipping production machine-learning systems for an AI engineering intelligence platform with an accent on evaluation systems, model routing, statistical measurement, and MLOps. Focus on calibrating LLM-as-judge systems, balancing inference cost and quality, improving noisy signals, and monitoring deployed models for drift and quality decay.

Location: On-site in Bangalore, India

Company

hirify.global is building Tetriz, an AI engineering intelligence platform that measures the use and impact of AI coding tools and helps engineering leaders demonstrate AI ROI.

What you will do

  • Build evaluation systems for AI features, including failure taxonomies, LLM-as-judge rubrics, golden datasets, and calibration against human judgment.
  • Design and evaluate model-routing strategies that balance cost, quality, and latency.
  • Turn noisy real-world signals into statistically rigorous, calibrated, and monitored scores.
  • Work across the ML lifecycle, including feature pipelines, model versioning, rollouts, drift monitoring, and reliable low-latency serving.
  • Contribute to product decisions and ship backend or frontend code when needed.

Requirements

  • 1.5–2 years of hands-on experience in data science, machine learning, software engineering, or a related hirify.globaleld.
  • Experience building and shipping DS/ML systems end to end through professional work, personal projects, research, or open source.
  • Comfort with Python and working knowledge of SQL.
  • Basic applied statistics knowledge, including understanding when metrics may be misleading.
  • Curiosity about product, backend, and frontend development beyond the modeling layer.
  • Some exposure to LLMs through prompting, APIs, or experimentation with model behavior.

Nice to have

  • Exposure to evaluation or observability tooling for LLM features.
  • Experience with information retrieval, entity matching, or record linkage.
  • Interest in developer productivity, code analytics, or DevEx data.

hirify.globalts">Culture & Benehirify.globalts

  • Builder-oriented environment focused on shipping a complete product rather than conducting research only.
  • Inclusive culture that values diversity and merit-based employment.
  • AI tools may support parts of the hiring process, while hirify.globalnal decisions remain with human reviewers.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’