Jobs/Machine Learning Engineer
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Machine Learning Engineer

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Compensation TransparencyStated CTC: Competitive Global Remote Compensation (Official)
Disclosed on Official ATS Application

Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.

Stipend / SalaryCompetitive Global Remote Compensation (Official)
Work ModeREMOTE
Experience2+ yrs
Posted6h ago
Verified Direct Role: Clicking "Apply on Official Site" opens Lifelancer's official careers portal directly without middleman aggregators.
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Job Snapshot & Verified Telemetry
  • Target Role:Machine Learning Engineer
  • Employer:Lifelancer
  • Work Mode:REMOTE
  • Location:Remote (United States)
  • Compensation:Competitive Global Remote Compensation (Official)
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:Data SciencePythonPredictive ModelingMachine Learning
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About the Role

Job Title: Machine Learning Engineer Job Location: San Diego, CA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Company Description About AbbVie At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit Follow Allergan Aesthetics on LinkedIn. Job Description Responsibilities Own small to medium components of machine learning systems from technical designthrough implementation and delivery Translate technical requirements into high-quality, maintainable code and deliver workstreamsaccording to plan Build and maintain data pipelines and feature engineering workflows to support machinelearning and AI solutions Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices Implement ML solutions that can be deployed into production environments as microservices,APIs, batch jobs, or streaming components Support production monitoring efforts by helping define and implement metrics for modelperformance, data drift, anomalies, and retraining triggers Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness stakeholders to deliver project objectives Understand system design, data models, and technical artifacts well enough to contribute toimplementation decisions and tradeoffs Follow governance, documentation, coding, and source control standards consistently Demonstrate flexibility and proactively support teammates with day-to-day responsibilities asneeded Clearly document and communicate work progress, technical decisions, and outcomes totechnica

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack4 Skills

The employer seeks candidates proficient in the following core technologies:

Data SciencePythonPredictive ModelingMachine Learning
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• Verified Submissions: 0 / 5• 7-Day Ghosting SLA Active• Direct ATS Verified
Expected Assessment Topics:Crowdsourced
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Verified Direct Application Link

Official position sourced directly from Lifelancer's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
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The verified package for this role is Competitive Global Remote Compensation (Official) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in Data Science, Python, Predictive Modeling, Machine Learning are encouraged to apply.

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