Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do.:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do.:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.
Requirements:
6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
Bachelors degree in Computer Science or a related STEM field
Strong proficiency in Python and ML tooling
Proven ability to build production-grade ML systems end-to-end
Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
Solid foundation in system design, architecture, and microservice patterns
Excellent problem-solving skills and ownership mindset
Strong collaboration and communication abilities
Bonus if you have:
M.Sc. in Computer Science, Software Engineering, or similar field
Experience building and scaling LLM-powered applications
Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
Exposure to NoSQL and real-time data processing pipelines
6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
Bachelors degree in Computer Science or a related STEM field
Strong proficiency in Python and ML tooling
Proven ability to build production-grade ML systems end-to-end
Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
Solid foundation in system design, architecture, and microservice patterns
Excellent problem-solving skills and ownership mindset
Strong collaboration and communication abilities
Bonus if you have:
M.Sc. in Computer Science, Software Engineering, or similar field
Experience building and scaling LLM-powered applications
Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
Exposure to NoSQL and real-time data processing pipelines
This position is open to all candidates.
