ML Engineer

KALSOFT


Date: 8 hours ago
City: Lahore
Contract type: Full time
KalSoft is looking for a talented and results-driven Machine Learning Engineer with at least 4 years of professional experience to join our dynamic team. The ideal candidate should be adept at designing, developing, and deploying machine learning models to solve real-world business challenges. You will collaborate with data scientists, engineers, and domain experts to build intelligent solutions that drive impact.

Key Responsibilities

  • Design and implement machine learning models and algorithms for classification, regression, clustering, NLP, or computer vision
  • Build scalable data pipelines and deploy models into production environments using MLOps best practices
  • Analyze large datasets, perform feature engineering, and select appropriate ML techniques
  • Collaborate with cross-functional teams including software developers, product owners, and data engineers
  • Optimize model performance and conduct A/B testing to evaluate effectiveness
  • Stay updated with state-of-the-art research and integrate relevant innovations into ongoing projects
  • Document processes, models, and experiments for internal knowledge sharing and compliance

Requirements

  • Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
  • Minimum 4 years of experience in machine learning and data science projects
  • Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, etc
  • Experience with cloud platforms (Azure, AWS, or GCP) for ML model deployment
  • Familiarity with SQL, NoSQL, and data wrangling tools
  • Understanding of software engineering best practices, including version control (Git), CI/CD, and containerization (Docker/Kubernetes)
  • Excellent problem-solving and communication skills

Preferred Skills

  • Experience with NLP, deep learning, or computer vision applications
  • Exposure to MLOps tools like MLflow, Kubeflow, or Airflow
  • Knowledge of big data tools (Spark, Hadoop) is a plus

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