Associate Software Engineer - ML

Posted 2 Days Ago
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Lahore, Punjab
Entry level
Information Technology • Consulting
The Role
The Associate ML Engineer role focuses on developing efficient and scalable pipelines for machine learning models. Responsibilities include automation of tasks, collaboration with data scientists and software engineers, and ensuring the delivery of high-performance solutions according to user needs. Candidates should have a thorough understanding of the machine learning lifecycle and be responsible for performance oversight and system deployment.
Summary Generated by Built In

At Dubizzle Labs, we're on an exciting journey to expand our engineering office in Pakistan, which already consists of a talented team of 300+. We are actively seeking individuals who have a passion for learning, a drive for performance, and a commitment to sharing knowledge. Our focus is on creating a high-quality engineering environment with a primary goal of delivering exceptional value to our customers. 

This role focuses on developing highly efficient and scalable pipelines for machine learning model training and inference. You will be responsible for building tools and automating redundant tasks. Working closely with data scientists, software engineers, and product managers, you'll ensure that user needs are met and deliver intelligent, high-performance solutions. This position also involves overseeing the career development of the engineering team, supporting system deployment, and maintaining optimal performance. A comprehensive understanding of the end-to-end machine learning lifecycle is essential, from data collection and preprocessing to model training and evaluation.

Job Requirements: 

 - Zero to one years of relevant experience
 - Proficiency in Python programming for data modelling and model training
 - Familiarity with API development (preferably FastAPI)
 - Strong understanding of data preprocessing techniques (e.g., cleaning, normalization, scaling)
 - Proficiency in model evaluation metrics (e.g., accuracy, precision, recall, F1-score)
 - Research and implement appropriate ML algorithms and tools
 - Excellent problem-solving abilities, communication skills, and willingness to learn

 Additional Preferred Skills:
 - Familiarity with machine learning operations concepts, such as model versioning and monitoring
 - Experience with data processing pipelines for handling large datasets
 - Strong statistical analysis skills for model fine-tuning based on test results Qualifications:
 - Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
 - Certifications and courses related to Machine Learning will be a plus

Qualifications:
 - Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
 - Certifications and courses related to Machine Learning will be a plus


    #LI-FJ

    Top Skills

    Python
    The Company
    Gulberg
    349 Employees
    On-site Workplace
    Year Founded: 2021

    What We Do

    Dubizzle Group owns and operates bespoke classifieds portals in the emerging markets of online portals, primarily in the MENA, South Asia, and Southeast Asia regions. The group's flagship ventures are spread in 10 countries. We are leading providers of classified portals in several countries not only limited to horizontal and vertical platforms but also catering to multiple development projects in Pakistan. We provide digital platforms where businesses can work efficiently and be widely accessible to users from around the world. Dubizzle Labs is the tech arm of the group that is building scalable solutions and handles millions of users across the globe. We have a tech team of 300+ members in Pakistan and 150+ in sister companies across the globe. We have various departments providing diverse opportunities. There are some that will mentor you through training on the best tools and technologies while others will focus on quality engineering; some will give you the opportunity to work on Web Fronts and others on mobile. Dubizzle Labs takes pride in having a modern product culture where we use the best resources to polish your knowledge and skills

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