AI/ML Expert

1 day ago

Hyderabad, Telangana, India beBeeMlengineer Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking a highly skilled AI/ML professional to lead our innovative team.

Job Description:
  • Key Responsibilities:
    • Model Development & Deployment:
      • Develop cutting-edge AI/ML models using Python libraries such as TensorFlow, PyTorch, Scikit-Learn.
      • Design and implement scalable ML pipelines using AWS services including SageMaker, Lambda, EC2, and RDS.
      • Continuously improve model performance through iterative experimentation and hyperparameter tuning.
    • Data Engineering:
      • Work closely with data scientists and engineers to ingest, preprocess, and store large datasets efficiently.
      • Implement robust data pipelines using AWS Glue, EMR, and Kinesis for real-time data processing.
      • Ensure data quality and manage metadata effectively using tools like AWS Data Catalog and Glue DataBrew.
    • MLOps Practices:
      • Automate model deployment processes using CI/CD tools like AWS CodePipeline and AWS CodeBuild.
      • Implement monitoring and logging mechanisms to track model performance and detect anomalies.
      • Conduct A/B testing and experiment management to optimize model outcomes.
      • Ensure compliance with regulatory standards and best practices in MLOps.
    • Collaboration & Communication:
      • Collaborate with cross-functional teams including product managers, data scientists, and business stakeholders to understand project requirements.
      • Communicate technical findings and recommendations clearly and concisely to non-technical stakeholders.
      • Participate in regular code reviews and contribute to the continuous improvement of development processes.
    • Research & Innovation:
      • Stay updated with the latest advancements in AI/ML and explore innovative solutions to address business challenges.
      • Contribute to open-source projects and share knowledge within the broader community.

Requirements:

  • Technical Skills:
    • Proficiency in Python, including familiarity with libraries such as NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn.
    • Expertise in designing and implementing machine learning pipelines using AWS services (SageMaker, Lambda, EC2, RDS).
    • Strong understanding of data engineering principles and experience with AWS Glue, EMR, and Kinesis.
    • Familiarity with containerization technologies like Docker and Kubernetes for managing ML workloads.
    • Knowledge of cloud-native storage and database solutions.
  • MLOps Experience:
    • Hands-on experience with automating ML workflows using CI/CD tools like AWS CodePipeline and CodeBuild.
    • Experience with model monitoring and logging frameworks like Amazon CloudWatch and X-Ray.
    • Understanding of A/B testing and experiment management techniques.
    • Compliance with relevant regulations and best practices in MLOps.

About Our Organization:

We are a leading organization that excels in various fields. Our team comprises experts who stay updated on the latest advancements in AI/ML. We offer a dynamic environment where you can grow professionally and make meaningful contributions to the field.

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