- Company Name
- Protech Talent
- Job Title
- Machine Learning Engineer
- Job Description
-
**Job Title**
Machine Learning Engineer
**Role Summary**
Design, develop, and deploy production‑grade machine‑learning and large‑language‑model (LLM) systems that drive key product features. Own all stages of the ML lifecycle—from data pipeline engineering and model selection to deployment, monitoring, and continuous improvement—while collaborating closely with product, engineering, and operations teams.
**Expectations**
- Full ownership of end‑to‑end ML projects with high accountability.
- Deliver measurable impact on customer‑facing products within a fast‑moving, zero‑to‑one environment.
- Maintain high quality, reliability, and latency standards in live production.
**Key Responsibilities**
- Build and productionize ML/LLM solutions for automation, prediction, and intelligent search.
- Engineer data extraction, document classification, workflow orchestration, and multimodal modeling pipelines.
- Lead end‑to‑end experiments, fine‑tune models, and ship features to end users.
- Design and implement scalable data and inference pipelines on cloud infrastructure (primarily AWS).
- Develop internal tooling to accelerate future AI capabilities and streamline product development.
- Collaborate with business and engineering stakeholders to scope, design, and launch AI‑driven features.
- Continuously evaluate emerging techniques, adopt new methods, and improve model accuracy, latency, and reliability.
**Required Skills**
- 1–15 years of professional experience as an AI/ML Engineer, Applied Scientist, or ML Research Engineer.
- Proven track record of building and deploying ML systems to production (not research‑only).
- Expertise in modern ML frameworks: PyTorch, TensorFlow, Transformers, and LLM APIs.
- Hands‑on experience fine‑tuning, prompting, or orchestrating large‑language‑model systems.
- Full‑stack development proficiency (Python, React/TypeScript, PostgreSQL, Kubernetes).
- Strong foundation in designing scalable data and inference pipelines on cloud platforms (AWS preferred).
- Excellent written and verbal communication, cross‑team collaboration, and a low‑ego, high‑ownership mindset.
- Bias toward speed, clarity, and delivering tangible results.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field from a reputable institution, or equivalent practical experience.
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New york city, United states
Hybrid
Fresher
09-12-2025