Location: Dallas, Texas (On-Site)
Are you passionate about shaping the future of AI solutions? Join our dynamic team as an Artificial Intelligence Developer in Dallas, Texas, where your expertise in machine learning, similarity search, and tools like FAISS (Facebook AI Similarity Search) will help redefine how data drives success.
This role offers a unique opportunity to work with cutting-edge technologies, tackle complex challenges, and create impactful AI solutions that revolutionize the way businesses operate.
What You’ll Be Doing
As an AI Developer, you’ll play a pivotal role in building intelligent systems that deliver real-world results.
Your Key Responsibilities:
- Design & Optimize AI Models: Create and fine-tune machine learning models for applications like recommendation systems, similarity searches, and NLP.
- FAISS Expertise: Leverage FAISS for scalable similarity search, high-dimensional data indexing, and efficient retrieval.
- Data Preprocessing: Perform feature engineering, vectorization, and data preprocessing to maximize model performance.
- Seamless Integration: Collaborate with data scientists and engineers to deploy AI solutions into production systems.
- Pipeline Development: Build and maintain robust pipelines for model training, testing, validation, and deployment.
- Scalability Focus: Optimize models for large datasets, real-time applications, and system efficiency.
- Innovation & Experimentation: Stay ahead of trends in machine learning, NLP, and vector search to drive innovation.
- Documentation: Provide clear and concise documentation of algorithms, architectures, and performance metrics to support team collaboration.
What You Bring to the Table
We’re looking for a skilled professional with a passion for AI and innovation.
Qualifications:
- Experience: Minimum 3 years in AI/ML development with a focus on similarity search, recommendation systems, or NLP.
- FAISS Expertise: Proven experience using FAISS for high-performance similarity search and indexing.
- Tech Skills: Proficiency in Python, TensorFlow, PyTorch, scikit-learn, and related ML libraries.
- Data Mastery: Experience with large datasets, feature extraction, and vectorization techniques.
- Cloud Knowledge: Familiarity with AWS, Google Cloud, or Azure for model deployment and data storage.
- Analytical Acumen: Strong understanding of clustering, dimensionality reduction, and neural network architectures.
- Collaboration: Excellent communication skills and ability to work effectively in a team.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Bonus Skills:
- Familiarity with other vector databases or advanced retrieval techniques.
- Experience in A/B testing and real-time model evaluation.
Why Join Us?
At our company, we believe in empowering our team with the tools, resources, and culture to innovate and grow.
- Competitive Compensation: Be rewarded for your expertise and contributions.
- Cutting-Edge Projects: Work on innovative AI solutions that solve real-world challenges.
- Career Growth: Access professional development opportunities and mentorship to advance your career.
- Collaborative Environment: Join a supportive team of talented individuals who thrive on solving complex problems together.
- Make an Impact: See your work come to life in data-driven applications that deliver meaningful business value.
