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    Job · 18978915

    MUMBAI · FULLTIME

    Sr Machine Learning Engineer

    Quantiphi Analytics Solutions Pvt Ltd logo

    Quantiphi Analytics Solutions Pvt Ltd

    Mumbai · onsite · Posted 28d ago

    Sourced fromNaukri
    Undisclosed4–6 yrsfulltimeMumbai

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

    If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
    Machine Learning Engineer with 4-6 years of experience, specializing in time-series forecasting. He/she will lead data preparation and profiling efforts to design, build, and deploy predictive models for demand planning and forecasting. Experience in the retail domain is a strong plus. This role requires readiness to travel to our client office in Bengaluru twice a week .
    Must have Skills:
    • 4-6 years of hands-on experience in Machine Learning / Data Science.
    • Strong expertise in time-series forecasting and handling sequential data.
    • Build, evaluate, and tune statistical and ML-based forecasting models (ARIMA, LightGBM, Prophet, LSTMs/Transformers).
    • Solid experience in data preparation, data quality assessment, and exploratory data analysis (EDA) on raw, large-scale datasets.
    • Advanced proficiency in Python and SQL.
    • Proven ability to work independently as a solo team member with minimal supervision, taking end-to-end ownership of tasks from data preparation to model development and deployment .
    • Ability to speak to customer confidently to present his/her own work not only in pure technical terms but also from a functional or business perspective.
    • Experience with AWS Cloud Platform and services
    • Sagemaker
    • Hands-on experience with ML frameworks (pandas, scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet) and MLOps tools (Docker, Airflow, MLflow).
    Good to have skills:
    • Prior experience in Retail / E-Commerce (e.g., demand planning, SKU-level forecasting, stockout prediction).
    • Computer Vision Experience: Exposure to basic computer vision tasks, image preprocessing, and classification using tools like OpenCV, PIL, or CNN frameworks (e.g., handling visual data, planograms, or shelf-monitoring images in retail).
    Other:
    • Collaborate with multiple Business stakeholders and understand their business requirements
    • Good verbal and written communication in English
    If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !


    Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    data qualityDockercateringdemand planningdata preparationComputer Visionamazon web servicesapache airflowclassificationBusiness RequirementsExploratory Data AnalysisLightGBMARIMAEvent DrivendeploymentcloudData ScienceForecasting

    Section · Company

    About Quantiphi Analytics Solutions Private Limited

    Quantiphi Analytics Solutions Pvt Ltd logo

    Quantiphi Analytics Solutions Pvt Ltd

    IT Services & Consulting

    2.7k+

    employees

    2013

    13 years old

    Mumbai,Maharashtra

    India

    ₹15.4L PA avg

    Avg at Quantiphi Analytics Solutions Private Limited

    About

    Quantiphi is an award-winning applied AI and data science software and services company driven by the desire to solve transformational problems at the heart of business.

    Industries

    IT Services & ConsultingInternet

    Employee ratings

    10 reviews

    3.1/ 5

    Culture

    1.5

    Career growth

    1.8

    Work-life

    1.5

    Employees rate it well for

    Skill Development35Compensation & Benefits33

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    Sr Machine Learning Engineer · waiting for your command