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![Tech9](https://media.trabajo.org/img/noimg.jpg)
Senior-Staff AI Engineer
3 months ago
We are looking for a world-class AI engineer in the US to assist one of our top clients for three months on a part-time basis (20-hours a week) This is an opportunity to work with an incredible engineering team and have a huge impact on a well-known product.
This is a remote position anywhere in the United States. The hourly range for this position is between $90-$120/hr. per skillet and experience.
If that sounds attractive please apply We'd love to talk to you.
Main Responsibilities:
- Collaborate with clients, project managers, architects, and other engineers to identify and clearly define business problems that can be addressed with AI solutions
- Translate identified business challenges into specific technical requirements for AI models
- Design, develop, and implement AI solutions using cutting-edge techniques and algorithms
- Conduct thorough analysis of the environment where the AI model will be deployed. This includes factors like:
- Target users and their interactions with the AI system.
- Existing infrastructure and integration needs with current systems.
- Data security and privacy considerations.
- Scalability requirements to accommodate future growth.
- Design AI solutions that are robust and adaptable to the specific deployment environment.
- Consider potential ethical implications of AI implementation and ensure solutions adhere to responsible AI practices
- Train, test, and evaluate AI models to ensure optimal performance and adherence to ethical standards.
- Integrate AI solutions into existing systems and workflows.
- Document AI systems thoroughly for future maintenance and scalability.
- Stay up-to-date on the latest advancements in AI and ML research.
Minimum Qualifications:
- 6+ years of professional working experience within software development
- Demonstrated experience understanding business requirements and translating business needs into technical requirements for AI solutions
- Demonstrated experience (4+ years minimum) with Natural Language Processing (NLP) and Computer Vision (CV) techniques (image recognition, object detection, image generation)
- Possess a solid grasp of deep learning architectures like CNNs and RNNs
- Proficient in at least one programming language and have a strong foundation in coding best practices
- Background in traditional programming and can demonstrate your ability to break down complex problems into manageable steps
- Strong system architecture knowledge and can design scalable and maintainable AI solutions
- In-depth knowledge of mathematics, probability, statistics, and algorithms.
- Excellent analytical and problem-solving skills.
- Prior experience in
- Vector Database and have hands on experience
- Implemented RAG (Retrieval Augmented Generation) in practical application
- Transformer architecture and have a solid understanding of all the components
- Fine-tuning of LLMs
- System development using Langchain, Langgraph
- API development using fastapi/flask/dango
- Experience in using the following:
- Unsupervised, semi-supervised, and supervised learning methods.
- Machine learning frameworks such as PyTorch and TensorFlow.
- Libraries such as NumPy, Pandas, Scikit-learn, SciPy, and StatsModels.
- Programming language: Python.
- A strong understanding of Transformer-based models.
- Experience with cloud platforms such as Azure or AWS.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Strong collaboration skills with software engineering and operations teams to ensure the seamless integration and deployment of AI models.
- The ability to utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
Preferred Qualifications:
- Master's degree in Machine Learning and Artificial Intelligence
- Prior experience in the Automotive Industry
Additional Information:
Interview Process Overview
Below you'll find an outline of the interview plan for our Senior AI Engineer positions. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30-minute Recruiter Screen
- Take-home assignment (1-hour max)
- 1-hour Technical Evaluation with one of our Senior AI Engineers
- 30-minute Hiring Manager Interview
Tech9 Values:
Our success is not just a product of what we do, but how we do it. Our culture is defined by values that are vital to our collective and individual achievements. We believe in 'Quality by Choice,' 'Win Win is the Only Win,' 'Continuous Improvement,' 'Integrity and Transparency,' and 'Extreme Ownership,'. These core values guide the actions and decisions we make every day. They are not just words; they are the compass that guide our actions and define our commitment to one another and our customers.
- Quality by Choice: We choose quality in everything we do, owning our impact, exceeding expectations, and earning trust
- Win-Win is the Only Win: Every win is shared, built on collaboration, respect, and a belief that success thrives together.
- Continuous Improvement: We never stop growing, embracing feedback, learning from mistakes, and continuously crafting better together.
- Integrity and Transparency: We act with unwavering integrity, building trust through transparency, honesty, and open communication.
- Extreme Ownership: We own it all, taking extreme control, driving results, facing every challenge head-on, and innovating like entrepreneurs, because our actions ripple outward, building trust and collective success.
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