feature engineering

Agentic AI Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Technical Skills Required:

·        Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not required.

Job Skills

a b testing leadership validation development tools research version control scalable cloud platforms GCP github semantic solving complex knowledge graph data pipeline performance analysis feature engineering benchmarking multi agent system analytical skill jupyter notebook data engineering libraries pytorch data ingestion career development python data preprocessing google cloud platform collaborate aws sagemaker communicate natural language processing tensorflow analytics docker building models testing validation collaboration machine learn data retrieval workflows learning systems data generation scikit learn cross functional teams data science google cloud market research production quality consulting API designing building reinforcement learning use cases machine learning architecture development snowflake refinement business partner containerization memory management scale agile framework development testing data warehousing autogen programming languages c++ installed track
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Senior Software Engineer, Data Platform - (Remote - US)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer, Data Platform in the United States.

In this role, you will be responsible for designing, implementing, and maintaining a highly available and scalable on-premises data platform. This platform will support large-scale OLAP/OLTP and feature engineering workloads, providing critical infrastructure to multiple product development teams. You will collaborate with cross-functional teams to ensure that the platform aligns with both business and internal customer needs, and you will also play a key role in supporting production systems and identifying areas for optimization.

Accountabilities:

Job Skills

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AI Engineer

posted by: spj_bot

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results.

Key Responsibilities:

  • Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions.
  • Implement algorithms and models to improve performance and scalability across various platforms.
  • Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications.
  • Analyze large datasets to derive actionable insights and enhance existing AI models.
  • Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects.
  • Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team.
  • Monitor model performance and iterate on design based on real-world feedback and data.

Requirements

Qualifications:

Job Skills

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