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GenAI Engineer

Remote, United States

Piper Companies Logo

Job Id:
130533

Job Category:

Job Location:
Remote, United States

Security Clearance:
None

Business Unit:
Piper Companies

Division:
Piper Enterprise Solutions

Position Owner:
Kiersten Schaefer

Piper Companies is seeking a GenAI Engineer to join a tech solutions provider in the financial services industry. This position is FULLY REMOTE (US-based, EST) and direct hire (permanent).


Responsibilities of the GenAI Engineer:

·       Lead AI projects for clients: Define objectives, track progress, and align projects with business goals.

·       Model implementation: fine-tune generative AI and ML models with input from specialized team members.

·       Technical translation: convert requirements into actionable plans and ensure alignment across teams.

·       Stakeholder liaison: act as the primary technical communicator for AI initiatives.

·       Innovation and training: embrace new techniques and mentor team members for continuous improvement.


Qualifications for the GenAI Engineer:

·       Generative AI Expertise: Experience deploying and fine-tuning models such as GPT or BERT, with a strong understanding of AI/ML concepts.

·       Project Leadership: Proven ability to lead technical AI/ML projects, manage timelines, and collaborate effectively with diverse stakeholders.

·       Cloud Platforms: Familiarity with AWS, Azure, or GCP for deploying and scaling AI models.

·       Communication: Strong skills in articulating complex ideas clearly to both technical and non-technical teams.

·       Continuous Learning: Passion for adopting new AI techniques and tools, and a commitment to ethical AI practices.

·       Bachelor’s or Master’s degree in computer science, machine learning, AI or related field

 

Compensation for the GenAI Engineer:

·       Annual salary: $130,000 – $145,000

·       Full Benefits: Medical, Dental, Vision (all fully paid), 401k, etc.; 10 paid holidays, 3 weeks of PTO


#LI-KS1

#LI-REMOTE


Keywords: Generative AI, GenAI, AI/ML models, GPT, BERT, model fine-tuning, project leadership, cloud platforms, Generative Adversarial Networks, GANs, AWS, Azure, GCP, stakeholder, AI deployment, project management, solutions, machine learning, model implementation, ethical AI, AI innovation, MLOps, containerization, model monitoring, data governance, NLP, project management, cross-functional collaboration, continuous learning, technical plans, AI solutions, scaling AI, business alignment, AI strategy, technical liaison, mortgage, financial services. 

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