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Dukhān

    Machine Learning Engineer - Dukhan, دولة قطر - Snoonu

    Snoonu
    Snoonu Dukhan, دولة قطر

    منذ أسبوع

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    A little bit about usAtSnoonu, we hold the belief that technology has the power to makeanything possible

    Our Vision:
    to be the first Qatari Super App thatpropels the region and its community through innovation andtechnology. We envision a global expansion where what we dosurpasses norms and limitations every time.


    Our Mission:
    Toradically transform how people live by leveraging technology toconnect them with endless possibilities.

    Values We Live ByBeCustomer Obsessed - "Focus on the customer and all elsewill follow."Act with Integrity - "We arehonest, ethical, and trustworthy in everything we do."BeCurious and Creative - "We constantly innovate and createsolutions to bring a lasting positive impact."Lead byExample and Take Ownership - "Be the change you want tosee and take ownership."Hustle and Deliver Results -"You can do more by doing less, better, andfaster."It's all about people - "Be aTeam player, together we arestronger."ResponsibilitiesLead the end-to-end developmentand deployment of machine learning models across Snoonu'sultra app, encompassing data collection, preprocessing, modeltraining, evaluation, and deployment in productionenvironments.

    Design and implement scalable and efficient machinelearning pipelines and workflows.
    Evaluate and select appropriatemachine learning algorithms and frameworks based on performance,scalability, and maintainability.

    Collaborate with across-functional team of engineers, data scientists, and productmanagers to integrate machine learning models into productionsystems and ensure robustness, scalability, and reliability.

    Workclosely with stakeholders to understand business requirements andtranslate them into technical solutions using machine learningalgorithms and techniques.
    Perform feature engineering and selectionto enhance the effectiveness and relevance of ourproducts.
    Continuously monitor and analyze the performance of modelsidentifying opportunities for optimization and implementingnecessary adjustments.
    Stay up-to-date with the latest industrytrends and advancements in machine learning technologies, ensuringour capabilities remain competitive and cutting-edge.
    Mentor andcoach junior team members, provide technical guidance and promotebest practices in machine learning engineering.
    RequirementsBSc orMSc in Computer Science, Engineering, or a related field with afocus on machine learning.

    MSc in Data Science is a plus.4+ yearsof experience working as a Machine Learning Engineer or DataScientist with a proven track record of developing and deployingmachine learning models in production environments.

    Strongproficiency in Python, with experience in ML libraries andframeworks such as TensorFlow, PyTorch, or sci-kit-learn.
    Solidunderstanding of machine learning algorithms, statistical methods,and data mining techniques.
    Familiarity with data processing and ETLtools such as Airflow, Snowflake, Postgres, Kafka, andRedis.

    Experience with cloud computing platforms (e.g., AWS, Azure,Google Cloud) and containerization technologies (e.g., Docker,Kubernetes).Experience with version control systems (e.g., Git) andagile software development methodologies.

    Proven experience withlarge-scale, complex systems and the ability to adapt to afast-paced, rapidly evolving environment.
    Excellent problem-solvingskills and ability to work independently as well as in ateam-oriented, collaborative environment.
    Strong communication andcollaboration skills, with the ability to work effectively within adiverse, cross-functional team.
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