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Apptad Ml Engineer

  • ... Posted on: Jan 30, 2025
  • ... Apptad Inc
  • ... Alexander, Maine
  • ... Salary: Not Available
  • ... CTC

Apptad Ml Engineer   

Job Title :

Apptad Ml Engineer

Job Type :

CTC

Job Location :

Alexander Maine United States

Remote :

No

Jobcon Logo Job Description :

Role: ML Engineer

Location: Alexander, Maine

JD-

Diverse ML Platform Expertise:

  • Maintain expertise in a range of ML technologies and platforms, with a preference for Google Vertex AI, but open to other systems as needed.
  • Leverage support for open source frameworks like TensorFlow, PyTorch, scikit learn, and integrate them with ML frameworks via custom containers.
  • Stay updated with the latest trends in MLOps and ML technologies.

Recommender System Design and Development:

  • Hands on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
  • Software engineering skills to work with teams integrating the recommender systems into customer facing products.
  • Experience in AB testing and iterative optimization using data driven approaches.
  • Understanding of infrastructure needs required to deploy ML systems (CPU/GPU, networking infrastructure).

Feature Store Management:

  • Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store.
  • Implement feature stores as a central repository for maintaining transparency in ML operations across the organization.
  • Enable feature delivery with endpoint exposure while maintaining authority and security features.

Data Management and Collaboration:

  • Assist as needed with data labeling and management, ensuring high quality data for ML models.
  • Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models.
  • Ensure end to end integration for data to AI, including the use of BigTable / BigQuery for executing machine learning models on business intelligence tools.

Continuous Monitoring and Optimization:

  • Monitor ML systems in production, identify improvement opportunities, and implement optimizations.
  • Participate in support rotations and participate in support calls as necessary.
  • Team Player: Strong interpersonal skills and the ability to work effectively in a team environment.

Jobcon Logo Position Details

Posted:

Jan 30, 2025

Employment:

CTC

Salary:

Not Available

Snaprecruit ID:

SD-CIE-a49cb74673ef4f893f36f3411de35f7654e14051483176e80f760a695f386453

City:

Alexander

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: ML Engineer

Location: Alexander, Maine

JD-

Diverse ML Platform Expertise:

  • Maintain expertise in a range of ML technologies and platforms, with a preference for Google Vertex AI, but open to other systems as needed.
  • Leverage support for open source frameworks like TensorFlow, PyTorch, scikit learn, and integrate them with ML frameworks via custom containers.
  • Stay updated with the latest trends in MLOps and ML technologies.

Recommender System Design and Development:

  • Hands on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
  • Software engineering skills to work with teams integrating the recommender systems into customer facing products.
  • Experience in AB testing and iterative optimization using data driven approaches.
  • Understanding of infrastructure needs required to deploy ML systems (CPU/GPU, networking infrastructure).

Feature Store Management:

  • Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store.
  • Implement feature stores as a central repository for maintaining transparency in ML operations across the organization.
  • Enable feature delivery with endpoint exposure while maintaining authority and security features.

Data Management and Collaboration:

  • Assist as needed with data labeling and management, ensuring high quality data for ML models.
  • Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models.
  • Ensure end to end integration for data to AI, including the use of BigTable / BigQuery for executing machine learning models on business intelligence tools.

Continuous Monitoring and Optimization:

  • Monitor ML systems in production, identify improvement opportunities, and implement optimizations.
  • Participate in support rotations and participate in support calls as necessary.
  • Team Player: Strong interpersonal skills and the ability to work effectively in a team environment.

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