LeadStack, Inc.
Location
Blue Ash, OH | United States
Job description
LeadStack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.
Title: MLOps Engineer
Location: Cincinnati OH (Need Locals)
Duration: 6+ Months
Job Description:
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.
Key Responsibilities:
Collaborate with data scientists to understand their needs and integrate their models into production systems efficiently.
Act as a liaison between data science, MLOps, and leadership teams to facilitate communication and goal alignment.
Develop, maintain, and manage scalable MLOps pipelines, particularly leveraging Google Vertex AI.
Implement and manage Google Vertex AI's AutoML for high-quality machine learning models.
Utilize Vertex AI Pipelines for streamlined operations and continuous modeling experiences.
Maintain expertise in ML technologies and platforms, including TensorFlow, PyTorch, scikit-learn, and integrate them with ML frameworks.
Work with various machine learning models such as vision, video, translation, and natural language processing.
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.
Enable feature delivery with endpoint exposure while ensuring authority and security features are maintained.
Assist with data labeling and management to ensure 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.
Monitor ML models in production, identify improvement opportunities, and implement optimizations.
Stay updated with the latest trends in MLOps and ML technologies.
If interested, please share your updated resume and the best time and number to connect over the phone. In case you are not available/interested, will appreciate if you can share it with your friends/network. Your referrals are appreciated!
To know more about current opportunities at LeadStack, please visit us at ;br /> Should you have any questions, feel free to call me on or send an email on
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