Senior Machine Learning Engineer

🔥 11 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Bloomreach

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

✈️ Travel

💰 $30M Debt Financing on 2022-10

Consulting • Marketing • Travel

Bloomreach is a leader in ecommerce personalization solutions, providing platforms that integrate real-time customer and product data via AI. The company offers marketing automation, product discovery, and a unified data platform specifically designed for commerce applications. This enables businesses to personalize marketing efforts across multiple channels such as email, SMS, and web, optimize ecommerce search and merchandising, and manage customer and product data for advanced analytics and omnichannel personalization. Bloomreach’s solutions cater to various industries including retail, travel, hospitality, and more, to enhance profitability and customer retention.

📋 Description

• 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

• 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

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume