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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.