AI/ML Engineer - Lead for MVP Build

Start Date July 03, 2024

Overview

Job Title: AI/ML Engineer - Lead for MVP Build

Location: Remote, start ASAP

About the Client:
The client is at the forefront of transforming enterprise AI applications by making AI accessible, efficient, and user-friendly. Their platform eliminates the complexities of AI prompting and customization, integrating seamlessly with enterprise workflows to deliver accurate and optimized results. They focus on enhancing productivity, ensuring data security, and providing a personalized user experience tailored to specific professional needs.

Role Overview:
The client seeks a highly skilled AI/ML Engineer to lead their AI efforts in building the Minimum Viable Product (MVP). This role involves developing pre-defined agentic workflows using langchain or similar tools, ensuring optimized model switching, and implementing accuracy-driven AI solutions ready for scalable web app deployment. The ideal candidate will have a strong background in AI/ML, experience in building enterprise-level AI solutions, and a passion for innovation.

Key Responsibilities:
- Lead AI/ML Development: Spearhead the AI/ML development efforts for the client's MVP, focusing on building and optimizing pre-defined agentic workflows.
- Model Integration: Utilize langchain or similar frameworks to integrate various language models, ensuring the selection of the most appropriate model for each specific task.
- Accuracy and Performance Optimization: Implement strategies to enhance the accuracy and performance of AI models, ensuring high-quality outputs.
- Scalable Web App Implementation: Work closely with the engineering team to integrate AI models into a scalable web application, ensuring seamless user experiences.
- Data Security and Compliance: Implement robust security measures to protect user data and ensure compliance with international data privacy regulations.
- Collaboration and Communication: Collaborate with cross-functional teams, including product managers, designers, and other engineers, to deliver a cohesive and effective AI solution.

Qualifications:

Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

Experience:
- 5+ years of experience in AI/ML engineering, with a focus on building and deploying enterprise-level AI solutions.
- Proven experience with language models and frameworks such as langchain, GPT-3, GPT-4, BERT, etc.
- Strong understanding of machine learning algorithms, natural language processing (NLP), and data structures.

Technical Skills:
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, Keras, etc.).
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
- Extensive experience in orchestrated agentic workflows, along with optimization and deploying at scale.

Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
- Ability to work independently and manage multiple tasks in a fast-paced environment.

Preferred Qualifications:
- Experience with integrating AI solutions into web applications.
- Knowledge of data privacy regulations and best practices for data security.
- Previous experience in a startup environment or with enterprise AI applications.

Why the Client?
- Innovative Environment: Work on cutting-edge AI solutions that redefine how enterprises leverage AI.
- Growth Opportunities: Be a part of a rapidly growing startup with significant opportunities for professional development and career advancement.
- Collaborative Culture: Join a team of high-performing individuals pioneering the edge of AI human interaction, who are highly passionate and dedicated to making AI accessible and effective for all users.
- Competitive Compensation: Receive a competitive salary, equity options, and comprehensive benefits package.

Required skills

Data Security AI/ML Engineer Enterprise AI MVP Development Machine Learning Artificial Intelligence/Machine Learning

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