Senior Machine Learning / AI Engineer

About Us:

We are an innovative startup at the forefront of applied artificial intelligence. Our mission is to build "synthetic engineers"—highly specialized AI agents designed to tackle critical challenges within the manufacturing sector. By creating a new generation of digital engineering expertise, we are empowering companies to enhance productivity, solve complex problems, and drive future innovation. We are looking for passionate individuals to join us in building the future of manufacturing.

Role Description:

As a Senior Machine Learning / AI Engineer, you will play a pivotal role in shaping the core of our intelligent agents. You will be responsible for architecting the systems that power our AI, leading the charge on fine-tuning our models to achieve world-class expertise. This is a hands-on role that requires a deep understanding of machine learning principles, a creative approach to problem-solving, and a passion for building systems that can learn from complex, domain-specific knowledge. You will be instrumental in taking our AI from its current state to a robust, scalable, and highly proficient system ready for enterprise deployment.

Key Responsibilities:

• Architect and Scale AI Models: Design and implement the architecture for scaling our machine learning models to support a multi-tenant, public-facing application.
• Lead Fine-Tuning Efforts: Oversee and enhance the fine-tuning process for our AI agents, using proprietary data to deepen their domain expertise.
• Improve Data Pipelines: Optimize and manage the data pipelines that feed our models, ensuring data quality, efficiency, and scalability.
• Productionize Machine Learning Models: Work closely with our backend and infrastructure engineers to deploy, monitor, and maintain our AI models in a production environment.
• Research and Innovate: Stay at the cutting edge of AI and machine learning research, identifying and implementing new techniques to improve our agents' capabilities, especially in areas like knowledge graph integration and conversational AI.
• Collaborate Cross-Functionally: Partner with our front-end, backend, and product teams to ensure our AI capabilities are seamlessly integrated into our platform and meet the needs of our customers.
• Mentor and Guide: As a senior member of the team, you will help mentor our junior AI/ML engineers and contribute to a culture of technical excellence.

Required Qualifications:

• Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of hands-on experience in building, training, and deploying machine learning models in a production environment.
• Proven experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• Experience with natural language processing (NLP) and large language models (LLMs).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).

Preferred Qualifications:

• Experience working with knowledge graphs and graph databases.
• Prior experience in processing and extracting information from complex technical documents.
• Familiarity with industrial or manufacturing sectors.
• Experience in a startup environment, with a proven ability to thrive in a fast-paced, collaborative setting.
• A strong portfolio of projects or publications demonstrating a deep understanding of machine learning concepts and their application.

What We Offer:

• A competitive salary and equity package.
• A pivotal role in a fast-growing startup with a clear and impactful mission.
• The opportunity to work on cutting-edge AI technology and solve real-world problems in a critical industry.
• A collaborative, innovative, and supportive team environment.
• Flexible work arrangements.

If you are a visionary AI/ML engineer who is passionate about building the next generation of intelligent agents, we would love to hear from you. Please apply with your resume and a cover letter detailing your relevant experience.