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
The software industry faces well-documented challenges with project delays and budget overruns, with nearly one-third of initiatives missing their planned delivery dates because of legacy methodologies. In this context, conventional development approaches struggle to satisfy accelerating expectations for speed, dependability, and quality in software delivery.
IgniteTech differentiates itself through the application of advanced Generative AI technologies that transform core software development workflows. This position involves more than incremental AI enhancements; it centers on leading substantial, high-impact initiatives that harness AI to drive meaningful gains in both productivity and innovation. As part of this team, you will design and implement AI-powered systems that compress development cycles, minimize defects, and produce solutions with exceptional scalability—establishing new benchmarks for the industry.
This opportunity is ideal for candidates who have:
- Developed code modules integrating state-of-the-art LLMs into production applications (e.g., customer service chatbots, API connectors)
- Augmented legacy platforms with automated AI-driven predictive analytics or personalized recommendation engines
- Leveraged AI to efficiently handle recurring bug resolutions and feature enhancements (e.g., real-time language translation or dynamic content personalization)
This position is designed exclusively for seasoned practitioners who have delivered measurable Generative AI solutions in operational environments. Candidates without demonstrated experience executing projects of this scope should not apply.
What you will be doing
- Building New AI Products and Features: Fine-tune LLMs to develop entirely new AI-enabled products and discrete components that integrate smoothly into existing platforms or serve as the basis for new offerings, exemplified by our recent work on www.eloquens.ai
- Automating Internal Processes: Deploy sophisticated AI methodologies to automate internal operations and workflows
Key responsibilities
- Drive faster product launches and elevated customer satisfaction through sustained AI-powered enhancements
Candidate requirements
- AI-First Mindset (candidates whose default approach is to write code manually before applying AI tools for validation or improvement, rather than prioritizing AI from the start, should not apply)
- Minimum 1 year of experience as a full-stack developer (proficiency in both front-end and back-end development is mandatory)
- Extensive hands-on experience with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Demonstrated track record of successfully deploying Generative AI solutions with significant, measurable business impact
- Proven experience applying multiple LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- Clear understanding of the rationale and criteria for selecting specific LLM models for distinct use cases
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