Senior Machine Learning Engineer

Bloomreach

. Design, build and operate ML components in the search serving path within tight latency budgets .

Posted 11/3/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building machine learning components and data pipelines, with a strong focus on latency, cost efficiency, and production readiness. Proficient in programming with Python and experienced in serving ML models in scalable cloud environments.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingML Model Serving in Cloud SystemsData Pipeline ConstructionDeep Learning Frameworks (PyTorch, TensorFlow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData PipelinesModel ServingPythonGoJavaDeep LearningA/B TestingLatency TrackingCost Tracking

Soft Skills

Problem-SolvingAnalytical Skills

Tools & Technologies

AWSGCPPyTorchTensorFlow

Industry Keywords

Search QualityQuery UnderstandingRankingAutosuggestFaceting

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaPythonPyTorchTensorflowGo

About the role

Key responsibilities & impact

Design, build and operate ML components in the search serving path within tight latency budgets
Build query-time ML that helps search understand and handle each query
Build and scale ML and LLM data pipelines across large product catalogs, focusing on cost and freshness
Tune models across merchants, verticals and languages
Build and scale online features and model serving infrastructure
Set up offline evaluation and safe rollout for production models, including baselines, A/B tests, fallbacks, and latency and cost tracking
Improve observability and diagnosis of ML systems in production
Work with Search Quality engineers to bring models into production within latency and cost targets
Contribute to technical design and influence decisions across teams

Requirements

What you’ll need

BE/B.Tech/ME/M.Tech in Computer Science or a related discipline
Strong mathematical foundation
Excellent programming skills in Python
Experience with a backend language such as Go or Java
5+ years of experience building ML-driven systems in production
Strong software engineering skills
Hands-on experience serving ML models and LLMs in scalable cloud systems (AWS/GCP) under tight latency and cost budgets
Experience building large-scale data and ML pipelines
Strong problem-solving and analytical skills
Experience working across multiple customers, domains or languages
Working knowledge of search, such as query understanding, ranking, autosuggest or faceting
Experience with deep learning frameworks such as PyTorch or TensorFlow

Benefits

Comp & perks

A great deal of freedom and trust, with no clocking in/out, corporate rules, or long approval processes
Flexible working hours
Virtual-first work model with Bloomreach Hubs across three continents
Company events
5 paid days off to volunteer
People Development Program with personal development workshops
Communication coach support for work-related communications and decision-making
Leader Development Program with feedback, coaching, and follow-up check-ins
$1,500 annual professional education budget for books, courses, certifications, etc.
Employee Assistance Program with counselors
Calm sleep and meditation app subscription
One additional DisConnect day off each quarter
Sports, yoga, and meditation opportunities
Extended parental leave up to 26 calendar weeks for Primary Caregivers
Restricted Stock Units or Stock Options, depending on role, seniority, and location
Company performance bonus
Employee referral bonus of up to $3,000
Work anniversary rewards and celebrations