Position: Artificial Intelligence / Machine Learning Engineer
Location: Hybrid (2 days/week in-office, Austin, TX)
Employment Type: Full-Time | Hourly: 60.HR | W2 Contract
Industry: AI/ML, Technology, Engineering
At [Your Company Name], we're not just building products; we’re building the future. If you’re a passionate AI/ML Engineer eager to shape the cutting-edge of artificial intelligence and machine learning, then this is your opportunity to take the next big leap. We’re on the lookout for a highly skilled and motivated engineer to join our team in a hybrid role based in Austin, TX, where innovation meets real-world impact!
What You’ll Do:
Craft the Future of AI/ML: Work hands-on with state-of-the-art machine learning algorithms and AI models to design, develop, and deploy innovative AI solutions that power next-gen products.
Solve Real-World Challenges: Tackle complex problems in domains like automation, natural language processing (NLP), computer vision, and predictive analytics, using your expertise to bring intelligence to life.
Collaborate with Experts: Work alongside an elite team of data scientists, engineers, and business leaders, contributing your AI/ML insights to push the boundaries of what's possible.
Iterate & Optimize: Take ownership of the full model lifecycle, from initial concepts to production-ready solutions, continuously optimizing performance for scalability and efficiency.
Innovate with Impact: Design and implement custom AI/ML solutions that enhance user experiences, improve business outcomes, and drive innovation across industries.
Continuous Learning & Growth: Stay ahead of the curve with the latest developments in AI, ML, and deep learning, applying your new knowledge to real-world applications.
What You Bring:
Proven Experience: At least 2+ years of hands-on experience as an AI/ML Engineer, Data Scientist, or similar role, with a track record of deploying AI models that make a measurable impact.
Expertise in AI/ML: Strong foundation in machine learning, deep learning, and model optimization. Familiarity with NLP, computer vision, or predictive modeling is a plus.
Technical Skills:
- Programming Proficiency: Advanced skills in Python (preferred), with experience in libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.
- Data Handling: Comfort with working on large data sets, using tools such as SQL, Pandas, NumPy, and cloud platforms like AWS, Azure, or Google Cloud.
- Machine Learning Algorithms: Experience with supervised, unsupervised, and reinforcement learning techniques.
Collaboration & Communication: Strong interpersonal skills to collaborate effectively across teams. Ability to explain complex technical concepts to non-technical stakeholders.
Education: Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related field. A Master's or PhD in AI/ML or similar is a big plus!
Why Join Us?
Hybrid Flexibility: Enjoy the perfect balance of remote work and collaboration in our Austin office (just 2 days/week)—no need to choose between flexibility and innovation!
Innovative Culture: Be part of a team that thrives on collaboration, creativity, and cutting-edge technology. We encourage curiosity, experimentation, and a culture of continuous improvement.
Career Growth: Our environment is one where you can grow your skills, take on new challenges, and advance your career in the AI/ML space.
Competitive Compensation: $60 per hour (W2) — plus access to exciting benefits and perks.
Impactful Work: Work on AI-driven solutions that push the boundaries of technology and impact industries worldwide.
Ready to Join the AI Revolution? ????????
If you’re ready to help us build the next generation of AI/ML systems, we’d love to hear from you! Join our team of passionate innovators and put your expertise to work on exciting projects that will shape the future of technology.
Apply today and let’s build something amazing together.
[Your Company Name] is an Equal Opportunity Employer
We encourage applicants from all backgrounds and walks of life to apply and join us in creating a diverse, inclusive, and innovative workforce.
