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Machine Learning Engineer

Fresher   Kolkata, BangaloreBangalore, Chennai, Noida, Hyderabad, Gurugram, Pune, Mumbai City, Delhi   30 Oct, 2025
Thinqor Solutions Private Limited
Job LocationKolkata, BangaloreBangalore, Chennai, Noida, Hyderabad, Gurugram, Pune, Mumbai City, Delhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaProduct Management
EmploymentTypeFull-time

Job Description

    Req. TitleMl EngineerLocationRemote ; Monthly 5 days come to officeClient : ImpetusPayroll : Thinqor solutionsExperience : 4-6 yearsCompenation : Up to 40% hike on CTC based interview performanceDescription
    • Strong experience in Python
    • 3 yearsexperience of working on feature/data pipelines usingPySpark
    • Understanding and experience around data science
    • Exposure to AWS cloud services such asSagemaker, Bedrock, Kendra etc.
    • Experience with machine learning model lifecycle management tools, and an understanding ofMLOpsprinciples and best practice
    • Experience with statistical models e.g., multinomial logistic regression
    • Experience of technical architecture, design, deployment, and operational level knowledge
    • Exploratory Data Analysis
    • Knowledge around Model building, Hyperparameter tuning and Model performance metrics.
    • Statistics Knowledge (Probability Distributions, Hypothesis Testing)
    • Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
    Role
    • Generate actionable insights for business improvements.
    • Ability to understand business requirements.
    • Write clean, efficient, and reusable code following best practices.
    • Troubleshoot and debug applications to ensureoptimalperformance.
    • Write unit test cases
    • Collaborate with cross-functional teams to define and deliver new features
    • Use case derivation and solution creation from structured/unstructured data.
    • Actively drive a culture of knowledge-building and sharing within the team
    • Experience applying theoretical models in an applied environment.
    • MLOps, Data Pipeline, Data engineering
    • Statistics Knowledge (Probability Distributions, Hypothesis Testing)
    Good To Have:
    • Experience researching and applying large language and Generative AI models.
    • Experience withLangChain,LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks
    • Able to provide analyticalexpertisein the process of modeldevelopment, refining, and implementation in a variety of analytics problems.
    • Knowledge on Docker and Kubernetes.

Keyskills :
awspythonlearning

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