Cloud Specialist: Machine Learning

2 days ago

Mangalore, Karnataka, India Niveus Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description
We are seeking a skilled Cloud Specialist with expertise in Machine Learning to join our dynamic team. In this role, you will be responsible for designing, implementing, and managing cloud-based machine learning solutions that drive business value. You will collaborate with data scientists and engineers to develop scalable machine learning models and ensure their deployment in cloud environments. Your primary focus will be on optimizing machine learning workflows, enhancing data pipelines, and ensuring the reliability and performance of machine learning applications. Additionally, you will provide insights and guidance on best practices for leveraging cloud services to maximize the potential of machine learning initiatives.

Responsibilities

  • Design and implement scalable architecture for machine learning applications in cloud environments.
  • Develop and optimize machine learning models, ensuring they are production-ready and efficient.
  • Collaborate with cross-functional teams to understand business requirements and develop tailored machine learning solutions.
  • Monitor, troubleshoot, and optimize existing machine learning models and workflows.
  • Ensure data integrity, security, and compliance while working with sensitive datasets in the cloud.
  • Stay up to date with the latest trends and advancements in cloud technologies and machine learning.
  • Provide training and support to team members on best practices related to cloud and machine learning.

Skills And Tools Required

  • Strong understanding of machine learning principles, techniques, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
  • Proficient in programming languages commonly used in data science and machine learning (e.g., Python, R).
  • Knowledge of data processing tools (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., SQL, NoSQL databases).
  • Familiarity with CI/CD pipelines and tools for deploying machine learning models (e.g., Docker, Kubeflow).
  • Understanding of security best practices related to cloud and machine learning environments.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience in cloud computing, machine learning, or related roles.
  • Relevant certifications in cloud technologies or machine learning (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer) are a plus.

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