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Senior AI/Machine Learning Engineer

$ 5,500 - $ 10,000 / month

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Job Summary:

We are seeking a Senior AI/ML Engineer to design, build, and optimize machine learning models and AI solutions that solve real-world problems. You will lead the development of end-to-end pipelines, deploy scalable AI systems, and collaborate with cross-functional teams to drive innovation and deliver impactful solutions. This is a direct permanent position with our client.

Responsibilities:

  • Design, develop, and deploy machine learning models and AI solutions for production environments.
  • Build and optimize data pipelines to preprocess, clean, and transform large datasets.
  • Conduct research and implement cutting-edge techniques in machine learning, deep learning, and AI.
  • Fine-tune models for performance, accuracy, and scalability based on business requirements.
  • Collaborate with data engineers, product teams, and stakeholders to define AI/ML use cases.
  • Monitor model performance and continuously improve deployed solutions.
  • Develop and maintain documentation, including model architecture and deployment processes.
  • Mentor junior engineers and provide technical leadership in AI/ML projects.

Requirements:

  • A Bachelor's Degree/Masters Degree in Computer Science, Machine Learning, Data Science, or a related field.
  • 2+ years of experience in developing and deploying AI/ML solutions.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data processing frameworks (e.g., Pandas, NumPy, Spark).
  • Proficiency in building and deploying ML pipelines using tools like MLflow, Kubeflow, or AWS SageMaker.
  • Solid understanding of algorithms, deep learning architectures, and statistical methods.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is preferred
  • Strong problem-solving and communication skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.