Machine Learning Specialist $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
In an industry where software projects notoriously falter—with nearly one-third missing deadlines due to obsolete methodologies—conventional coding approaches simply can't keep pace with today's demands for speed, reliability, and excellence.
At IgniteTech, we're revolutionizing software development through cutting-edge Generative AI. This isn't about incremental AI tweaks; it's about spearheading transformative initiatives that leverage artificial intelligence to dramatically enhance both productivity and creativity across all operations. Join us, and you'll architect AI systems that slash development cycles, minimize defects, and deliver unprecedented scalability—establishing new benchmarks throughout the software landscape.
This position is ideal if you've already:
- Developed code frameworks integrating state-of-the-art LLMs into practical applications (such as intelligent customer support interfaces or API connectors)
- Upgraded existing systems with AI-powered predictive analytics or personalized recommendation engines
- Deployed AI solutions to efficiently resolve recurring issues and feature implementations (like instantaneous translation services or tailored content delivery)
We're specifically seeking seasoned professionals with a proven track record of implementing high-impact Generative AI solutions in production environments. If you lack hands-on experience delivering these specific outcomes, this opportunity isn't aligned with your current expertise.
What you will be doing
- Crafting Next-Generation AI Solutions: Fine-tune and optimize large language models to engineer completely new AI-driven products and modular components that seamlessly integrate with existing platforms or serve as foundations for innovative offerings—similar to our team's recent achievement with www.eloquens.ai
- Streamlining Operational Workflows: Implement sophisticated AI methodologies to automate and enhance internal processes, dramatically improving organizational efficiency
Key responsibilities
- Drive accelerated product deployment timelines and elevated customer satisfaction metrics through continuous implementation of AI-powered enhancements
Candidate requirements
- AI-Native Approach (critical requirement: your default workflow must prioritize AI tools as primary solution generators rather than merely using them to validate hand-written code)
- Minimum 1 year professional software engineering experience with demonstrable impact on business-critical initiatives
- Demonstrated proficiency with GenAI development assistants (including but not limited to Github Copilot, Cursor.sh, v0.dev)
- Verifiable success implementing Generative AI solutions with measurable quantitative business impact
- Practical experience harnessing various LLM architectures (such as GPT, Claude, and Mistral) to address complex business challenges
Meet the hiring manager
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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