Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real -world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.
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Key Responsibilities<\/b>:
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• Design and develop scalable machine learning models and algorithms.
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• Collaborate with cross -functional teams to integrate machine learning models into production systems.
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• Analyze large datasets to extract actionable insights and identify patterns.
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• Tune and optimize machine learning models for performance and accuracy.
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• Stay current with the latest advancements in AI and machine learning technologies.
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• Work with software development teams to ensure models are deployed efficiently and effectively.
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• Develop and maintain documentation for models, algorithms, and tools used.
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  Requirements<\/h3>

  • Bachelor's or Master’s degree in Computer Science, Mathematics, or related field.
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  • Proven experience in machine learning, data science, and AI technologies.
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  • Proficiency in Python, R, or other programming languages used in machine learning.
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  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit -learn.
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  • Strong understanding of data structures, algorithms, and statistical modeling.
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  • Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
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  • Excellent problem -solving skills and the ability to work independently or in a team.
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  • Strong communication skills to explain technical concepts to non -technical stakeholders.
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    Preferred<\/b>:
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    • Experience with deep learning techniques and natural language processing (NLP).
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    • Prior experience in deploying machine learning models in a production environment.
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    • Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).
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      Benefits<\/b>:
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      • Competitive salary and performance bonuses.
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      • Health, dental, and vision insurance.
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      • Flexible working hours and remote work options.
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      • Professional development opportunities.
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