Staff Machine Learning Engineer

We Love AI Jobs; India; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Bloomreach is recruiting a Staff Machine Learning Engineer to lead ML and AI-driven search relevance initiatives. You will own architecture, design advanced models for relevance, and drive production-grade deployments.

The role blends research, engineering, and mentorship across multiple teams in a cloud-first environment. You will work with data scientists, software engineers, and product teams to improve search quality, relevance, and discovery experiences at scale, leveraging LLMs and deep

Qualifications

• 8+ years of experience building ML-driven systems and algorithms in production.
• Strong software engineering skills with experience building low-latency, scalable distributed systems in a cloud production environment (AWS/GCP/Azure).
• Hands-on experience applying LLMs to Search/ML problems, including quality, latency, and cost trade-offs.
• Experience with NLP and Search Quality techniques, including intent identification, query understanding, data analysis, and domain-specific ML model tuning.
• Relevant search retrieval experience in at least one area: RAG, lexical search, vector search, or recommendation systems.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Own the technical roadmap and provide architecture leadership for ML and AI-driven relevance solutions.
• Design, develop, and enhance ML/AI models and algorithms for Search and Relevance.
• Own model evaluation and experimentation frameworks to ensure high-quality deployments.
• Work with search queries, product catalogs, user behavior, and other data to identify patterns and improve search quality.
• Work closely with software and data engineers to integrate and scale ML components into production systems.
• Analyze search and relevance data to identify problems and drive improvements.
• Mentor engineers and influence cross-team decisions to align engineering and product goals.
• Stay up to date with developments in Machine Learning, Information Retrieval, and Generative AI.

Skills

Python

Search relevance

Information retrieval

NLP

LLMs

PyTorch

TensorFlow

AWS

GCP

Azure

Java

Go

Education

BE/B.Tech/ME/M.Tech in Computer Science or related

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Java

Go

Job description

# Staff Machine Learning EngineerBloomreachIndiaFull-timeAI tools:PyTorchTensorFlowUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis Staff Machine Learning Engineer will lead machine-learning and AI work that improves search relevance and product discovery. The role owns model development, evaluation, and production integration, while providing technical direction and mentoring across teams.* Permanent* Virtual-first* 8+ years* Bachelor’s or Master’s Degree### Skills and expertisePythonSearch relevanceInformation retrievalNLPLLMsPyTorchTensorFlowAWS/GCP/Azure### Key responsibilities* Set technical direction and architecture for machine-learning search relevance solutions.* Develop and improve models and algorithms for search and relevance.* Own evaluation frameworks and integrate scalable ML components into production.## How this job comparesCompared with 94 open staff machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 94 open staff machine learning jobs at 53 companies.Remote work: This job is on site. 16 of the 94 staff machine learning jobs (17%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The core work is designing, evaluating, and productionizing ML- and AI-driven search solutions. The posting specifically calls for applying LLMs and deep-learning frameworks to search problems.## Full descriptionBloomreach 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 seasoned Staff Machine Learning Engineer to join our Search Quality team and lead the design and implementation of machine learning and Al-driven solutions that improve search relevance and discovery experiences for our customers. The Search Quality team focuses on building intelligent, scalable solutions that understand user queries, product catalogs, and behavioral signals to deliver the most relevant search results. We work at the intersection of Machine Learning, Information Retrieval, Search Relevance, and Software Engineering to solve challenging problems across the search stack. This is a Staff ML Engineer role, so we are looking for someone who can combine strong ML expertise with solid software engineering skills and take end-to-end ownership of complex technical problems. You will work closely with engineers, architects, and product teams to research, build, evaluate, and productionize ML-driven solutions for search.Your Responsibilities● Own the technical roadmap and provide architecture leadership for ML and AI-driven relevance solutions.● Design, develop, and enhance ML/AI models and algorithms for Search and Relevance.● Own model evaluation and experimentation frameworks to ensure high-quality deployments.● Work with search queries, product catalogs, user behavior, and other data to identify patterns and improve search quality.● Work closely with software and data engineers to integrate and scale ML components into production systems.● Analyze search and relevance data to identify problems and drive improvements.● Mentor engineers and influence cross-team decisions to align engineering and product goals.● Stay up to date with developments in Machine Learning, Information Retrieval, and Generative AI.Qualifications● BE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and excellent programming skills, primarily Python, alongside proficiency in a backend language such as Java or Go.● 8+ years of experience building ML-driven systems and algorithms in production.● Strong software engineering skills, with experience building low-latency, scalable distributed systems in a cloud production environment (AWS/GCP/Azure).● Strong background in Search, Information Retrieval, Ranking, or Search Relevance, working with large-scale data and ML systems.● Hands-on experience applying LLMs to Search/ML problems, including quality, latency, and cost trade-offs.● Experience working across multiple merchants, domains, and languages.● Strong background in NLP and Search Quality techniques, including intent identification, query understanding, data analysis, and domain-specific ML model tuning.● Relevant search retrieval experience in at least one area: RAG, lexical search, vector search, or recommendation systems.● Experience with deep learning frameworks such as PyTorch or TensorFlow.● Strong problem-solving and analytical skills.● Effective communication skills in English, both verbal and written.