AI Engineer

Noosh, a wholly owned subsidiary of HH Global, is seeking a talented and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be at the forefront of developing and implementing cutting-edge artificial intelligence solutions that leverage state-of-the-art technologies such as LangChain, OpenAI, and Claude.

Key Responsibilities

1. Design, develop and implement AI algorithms, including deep learning, to solve complex problems and optimize business processes.
2. Utilize advanced AI frameworks and libraries such as TensorFlow, XGBoost, and scikit-learn to build robust solutions.
3. Integration with advanced AI platforms:
   1. Work with Open AI, Claude, and LangChain to integrate AI capabilities into existing systems and applications.
   2. Develop and deploy AI-based solutions on cloud platforms like AWS or Azure, ensuring scalability, reliability and performance.
4. Research and innovation:
   1. Stay current with the latest advancements in AI and deep learning, including emerging technologies and frameworks.
   2. Conduct research to explore new AI techniques and their potential application in Noosh's products and services.
5. Data handling and pipeline management:
   1. Work with large datasets, perform data preprocessing and develop data pipelines for effective processing and analysis.
   2. Implement vector databases and ensure efficient data management for AI-driven applications.
6. Validation and optimization:
   1. Conduct thorough testing, validation and optimization of AI solutions to ensure accuracy, robustness and compliance with industry standards.
   2. Continuously evaluate and improve existing AI solutions based on feedback and insights from users and stakeholders.
7. Collaboration and technical support:
   1. Collaborate with cross-functional teams, including software engineers, data scientists and product managers, to integrate AI solutions into Noosh's offerings.
   2. Provide technical guidance and support to team members on AI-related projects.
8. Continuous learning and development:
   1. Maintain a passion for staying updated with the latest advancements in AI, deep learning, neural networks and related technologies.
   2. Participate in continuous learning opportunities and contribute to the growth of AI capabilities with Noosh.

Knowledge, Skills + Experience

1. Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
2. Proven experience in AI engineering, deep learning, neural networks, machine learning, and working with technologies such as LangChain, OpenAI and Claude.
3. Strong programming skills in Python or R.
4. Proficiency in AI frameworks and libraries like TensorFlow, PyTorch and scikit-learn.
5. Experience with data preprocessing, feature engineering and data evaluation techniques.
6. Competence in working with large datasets and using tools like SQL, Hadoop, Spark, and vector databases.
7. Knowledge of cloud platforms (e.g., AWS) and experience in deploying AI-based solutions in cloud environments.
8. Excellent problem-solving abilities and a keen eye for detail.
9. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
10. Strong drive for continuous learning and a passion for staying at the forefront of AI, deep learning and neural network advancements.

For California applicants: The salary range for this position is $100,000 to $150,000 annually. Actual compensation packages are based on a variety of factors that are unique to each candidate, including skill set, experience, certifications, and work location. This range may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance targets, benefits, and/or other applicable incentives.

Your application will be reviewed by a member of our Recruiting Team and we'll reach out to you directly if there's a fit for the position. We're using video conferencing software to conduct many of our interviews, but all interviews will be live with a member of our Recruiting or Hiring teams.