Machine Learning Solutions Architect

4 days ago

Karachi, Sindh, Pakistan beBee Careers Full time

Senior Machine Learning Engineer Job Description

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We are seeking a highly experienced Senior Machine Learning Engineer to join our team. As a Senior ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems.

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Key Responsibilities:

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  • Design & Develop Machine Learning Models:">
  1. ">
  2. Lead the design and development of machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision.">
  3. Utilize advanced machine learning algorithms to create scalable and efficient solutions.">
">Deploy Machine Learning Models:">
  1. ">
  2. Lead the deployment of machine learning models into production using Docker, Kubernetes, and cloud platforms like AWS, Google Cloud, or Azure.">
  3. Ensure that models meet the scalability, performance, and security requirements.">
">Collaborate Across Teams:">
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  2. Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models.">
  3. Collaborate with product managers and business teams to understand use cases and tailor ML solutions to meet business needs.">
">Monitor & Maintain Models:">
  1. ">
  2. Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time.">
  3. Implement solutions for model retraining, scaling, and optimization to ensure models remain effective in production environments.">
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Requirements:

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  • At least 4 years of professional experience in machine learning, data science, or AI engineering.">
  • A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.">
  • Strong proficiency in Python, with experience in machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc.">
  • Experience deploying models into production using Docker, Kubernetes, and cloud platforms like AWS, Google Cloud, or Azure.">
  • Ability to communicate complex machine learning concepts to both technical and non-technical stakeholders.">
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What We Offer:

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  • Competitive salary based on experience.">
  • Health insurance and other company benefits.">
  • Opportunities for professional development, certifications, and attending AI/ML conferences.">
  • Flexible working hours and a collaborative work environment.">
  • The chance to work on impactful, cutting-edge machine learning projects.">
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