Bloomreach

Senior Machine Learning Engineer

India

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full Time (HC)
From the employer’s posting

What you’ll work on

Full posting

Design, build and operate ML components in the search serving path under 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
Set up offline evaluation and safe rollout for production models, including A/B tests
Work with Search Quality engineers to bring their models into production

From the employer’s posting

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, with attention to cost and freshness.

Set up offline evaluation and safe rollout for production models: baselines, A/B tests, fallbacks, and latency and cost tracking.

Work with Search Quality engineers to bring their models into production within latency and cost targets.

What you’ll bring

All qualifications

Core experience

Experience with a backend language such as Go or Java.
5+ years of experience building ML-driven systems in production.
Experience building large-scale data and ML pipelines.
Experience working across multiple customers, domains or languages.
Experience with deep learning frameworks such as PyTorch or TensorFlow.

Preferred experience

Experience with Solr, Elasticsearch or a similar search engine.
Experience with vector search in production, such as Milvus or Qdrant.
Experience building evaluation, observability or explainability tooling for ML models, LLMs and serving systems.

Qualification wording

BE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and 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.

Experience building large-scale data and ML pipelines.

Experience working across multiple customers, domains or languages.

Experience with deep learning frameworks such as PyTorch or TensorFlow.

Experience with Solr, Elasticsearch or a similar search engine.

Experience with vector search in production, such as Milvus or Qdrant.

Experience building evaluation, observability or explainability tooling for ML models, LLMs and serving systems.

Apply at Bloomreach

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Bloomreach is hiring

8 open jobs

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Takes jobs down at a usual pace

Hiring record

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Java
Python
AWS
Elasticsearch
GCP
PyTorch
TensorFlow
Go

Where the posting names them

Qualifications - BE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and 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.

- 5+ years of experience building ML-driven systems in production. - Strong software engineering skills, with 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.

Preferred Qualifications - Experience with Solr, Elasticsearch or a similar search engine. - Experience with vector search in production, such as Milvus or Qdrant.

- Working knowledge of search, such as query understanding, ranking, autosuggest or faceting. - Experience with deep learning frameworks such as PyTorch or TensorFlow. Preferred Qualifications

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Job description

View original posting ↗

Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Bloomreach is seeking a Senior Machine Learning Engineer to join our Search Scaling team. The team takes the ML and AI behind Bloomreach search and makes it run in production: in the live search path that answers every shopper query, and in the data pipelines that prepare product catalogs for search.

Our search powers online stores for many merchants, each with its own catalog, vertical, language and region. The Scaling team's job is to make our search and discovery features work well for all of them, and to turn models into reliable, low-latency, cost-efficient systems at that scale.

We are looking for someone who combines solid ML expertise with strong software engineering skills and takes end-to-end ownership of technical problems. You will partner closely with our Search Quality team, which develops the relevance and ranking models behind our search.

Your Responsibilities

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, with attention to 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: 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 their models into production within latency and cost targets.
Contribute to technical design and influence decisions across teams.

Qualifications

BE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and 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, with 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: able to break a problem down into its model-training and backend-engineering parts, and, during development, analyze results to pinpoint the cause of an issue and choose the right next step.
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.

Preferred Qualifications

Experience with Solr, Elasticsearch or a similar search engine.
Experience with vector search in production, such as Milvus or Qdrant.
Experience building evaluation, observability or explainability tooling for ML models, LLMs and serving systems.

More things you'll like about Bloomreach:

Culture:

A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.
We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication.
We believe in flexible working hours to accommodate your working style.
We work virtual-first with several Bloomreach Hubs available across three continents.
We organize company events to experience the global spirit of the company and get excited about what's ahead.
We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.
The Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5

Personal Development:

We have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.
Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*
Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.
Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*

Well-being:

The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*
Subscription to Calm - sleep and meditation app.*
We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.
We facilitate sports, yoga, and meditation opportunities for each other.
Extended parental leave up to 26 calendar weeks for Primary Caregivers.*

Compensation:

Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*
Everyone gets to participate in the company's success through the company performance bonus.*
We offer an employee referral bonus of up to $3,000!
We reward & celebrate work anniversaries -- Bloomversaries!*

(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

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