Senior Machine Learning Engineer

3 weeks ago

Lahore, Punjab, Pakistan NETSOL Technologies Inc. Full time

Direct message the job poster from NETSOL Technologies Inc.

Manager Talent Acquisition@ NETSOL Technologies Inc. | International Recruitment

We are seeking a results-driven Senior Machine Learning Engineer with 5+ years of experience to join our AI/ML team. The ideal candidate will have a strong background in building and deploying ML models, hands-on product development experience, and a solid grasp of ML Ops practices. Leadership capabilities and a portfolio of past work are highly valued.

Key Responsibilities:

  1. Design, develop, and implement machine learning models and algorithms tailored to real-world business problems.
  2. Optimize and scale ML solutions for deployment in production environments.
  3. Collaborate closely with data scientists, software engineers, and stakeholders to integrate ML models into existing systems and products.
  4. Conduct experiments, perform hyperparameter tuning, and evaluate models to improve performance.
  5. Monitor, maintain, and retrain production models to ensure reliability, efficiency, and scalability.
  6. Drive best practices in ML Ops, including versioning, CI/CD, testing, and automated model monitoring.
  7. Lead or mentor junior team members and contribute to overall AI/ML strategy.

Required Qualifications:

  1. 5+ years of experience in machine learning engineering or a related field.
  2. Proven experience developing and deploying ML-powered products; having a demo or portfolio is a plus.
  3. Proficiency in programming languages such as Python (preferred), R, or Java.
  4. Strong understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  5. Solid experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
  6. Working knowledge of cloud ML platforms such as AWS SageMaker, GCP AI Platform, or Azure ML.
  7. Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
  8. Experience with data processing and big data technologies like Hadoop and Spark.
  9. Strong understanding of MLOps tools and practices for monitoring, deployment, and lifecycle management.

Preferred Skills:

  1. Experience with deep learning architectures including CNNs, RNNs, and GANs.
  2. Knowledge of natural language processing (NLP) or computer vision.
  3. Experience with Docker, Kubernetes, or other containerization and orchestration tools.
  4. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  5. Demonstrated leadership experience or project ownership in past roles.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology and Engineering
Industries
  • IT Services and IT Consulting

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