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SeniorFull-timeCI/CDAIML
Salary Range
$37,128 - $50,232 /year
This salary is estimated based on similar roles. The actual salary may vary.
What will you do?
• Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
• Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring).
• Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.
• Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), with a strong focus on system-level optimization (latency, cost, scalability, reliability).
• Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow), leveraging deep understanding of the platform ecosystem.
• Implement evaluation frameworks to measure quality, hallucination, and performance.
• Productionize systems with proper CI/CD, monitoring, rollback, and versioning.
• Independently design AI solutions tailored to client problems, translating business needs into scalable architectures.
• Lead technical decisions in client engagements and actively contribute to pre-sales architecture discussions.
• Mentor team members and define GenAI and ML best practices.
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About Hiflylabs
Hiflylabs is a technology company specializing in innovative solutions at the intersection of aviation and digital services. The name suggests a focus on high-performance flight technologies or data analytics for the aviation industry. While the exact founding date and location are not specified, the company operates in a niche that combines cutting-edge engineering with practical applications for flight operations, maintenance, and efficiency. Hiflylabs likely leverages advanced algorithms, IoT devices, or cloud-based platforms to address challenges faced by airlines, aircraft manufacturers, or regulatory bodies in the aviation sector. Hiflylabs offers products and services designed to enhance flight performance, safety, and operational efficiency. These may include predictive maintenance tools, real-time flight tracking systems, or data-driven decision-making platforms for fleet management. Key features could involve machine learning for anomaly detection, customizable dashboards for stakeholders, and integration with existing aviation software. The target audience primarily consists of aviation professionals, including airline executives, maintenance crews, and regulatory compliance officers, who require precise, actionable insights to optimize their operations. The company’s solutions are tailored to meet the stringent demands of the aviation industry, ensuring reliability and accuracy in critical data analysis. Hiflylabs has positioned itself as a forward-thinking player in the aviation tech space, differentiating through its commitment to innovation and precision. The company’s unique value proposition lies in its ability to transform complex aviation data into intuitive, actionable intelligence, thereby reducing downtime and enhancing safety. Notable achievements may include partnerships with major airlines or certifications from aviation authorities, underscoring its credibility and technical expertise. By continuously refining its offerings, Hiflylabs aims to set new standards in flight data analytics and operational efficiency, solidifying its role as a trusted partner in the aviation industry.
