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AI/ML/Data Science Engineer

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Job description

InvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.

We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply.
We are seeking a skilled AI/ML Engineer with strong expertise in Data Science and Data Engineering to design, develop, and deploy machine learning models and data pipelines. The ideal candidate will work on extracting actionable insights from large datasets, building scalable data solutions, and contributing to AI-driven products.
Key Responsibilities:

  • Develop and deploy machine learning and deep learning models for business use cases.
  • Design, implement, and maintain ETL pipelines and large-scale data processing workflows.
  • Analyze structured and unstructured data to generate insights and recommendations.
  • Collaborate with cross-functional teams to integrate AI/ML models into production systems.
  • Optimize algorithms for performance, scalability, and accuracy.
  • Implement data governance, validation, and quality standards.

Required Skills & Expertise:

  • Proficiency in Python, R, or Scala for AI/ML and data engineering tasks.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong knowledge of data engineering tools: SQL, Spark, Hadoop, Airflow, or similar.
  • Experience with cloud platforms: AWS, GCP, or Azure.
  • Solid understanding of statistical modeling, predictive analytics, and data visualization.
  • Familiarity with deploying ML models using APIs or microservices architecture.
  • Experience of NLP, Computer Vision, or recommendation systems.
  • Experience with real-time data streaming (Kafka, Kinesis).
  • Familiarity with MLOps practices and CI/CD for ML pipelines.

Job Type: Full-time

Job Type: Full-time

Education:

  • Bachelor's (Preferred)

Experience:

  • AI/ML: 1 year (Preferred)

Location:

  • Lahore (Preferred)

Work Location: In person

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