Machine Learning Engineer

2 weeks ago

Pakistan Bazzle Balloons Full time 600,000 - 1,800,000 per year

What You'll Work On

As a Junior Machine Learning Engineer, you will:

  • Assist in the design, development, and deployment of machine learning models and pipelines.
  • Support the automation of training, evaluation, and deployment workflows.
  • Contribute to the implementation of MLOps best practices including versioning, monitoring, and model management.
  • Work with tools like Docker, MLflow, Weights & Biases, or similar for reproducible experimentation.
  • Collaborate with data scientists, backend engineers, and product teams to deliver production-ready ML solutions.
  • Learn to deploy models in cloud environments such as AWS, GCP, or Azure.
  • Stay up to date with machine learning advancements and apply relevant techniques to improve performance and scalability.

Core Skills & Qualifications

We are looking for someone with:

  • 1+ years of experience in machine learning or data science roles.
  • Proficient in Python and popular ML libraries like Scikit-learn, Pandas, TensorFlow, or PyTorch.
  • Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, and evaluation metrics.
  • Basic experience working with SQL or NoSQL databases.
  • Strong understanding of data structures and algorithms.
  • Familiarity with API integration and deploying ML models in production environments is a plus.
  • Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) is a plus.
  • Experience with tools like MLflow, LangChain, LangSmith, or vector databases is a bonus.
  • Good communication skills, a growth mindset, and an eagerness to learn.

Nice-to-Have

  • Experience with building and maintaining Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases and retrieval techniques to enhance LLM-powered applications.
  • Familiarity with distributed computing and big data technologies.
  • Contributions to open-source ML projects or research publications.

Job Type: Full-time

Education:

  • Bachelor's (Required)

Experience:

  • machine learning or data science roles: 2 years (Required)
  • Python: 1 year (Required)
  • ML libraries like Scikit-learn, Pandas, TensorFlow, PyTorch.: 1 year (Required)
  • SQL or NoSQL databases: 1 year (Required)
  • data structures and algorithms: 1 year (Required)
  • API integration and deploying ML models: 1 year (Required)
  • cloud platforms (AWS, GCP, or Azure) : 1 year (Required)
  • containerization tools (Docker, Kubernetes): 1 year (Preferred)
  • MLflow, LangChain, LangSmith: 1 year (Preferred)
  • vector databases: 1 year (Preferred)

Work Location: Remote

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