Senior Machine Learning Engineer – NLP, LLM Focus

Job not on LinkedIn

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Century Interactive

Century Interactive

51 - 200 employees

📣 Marketing

Marketing • Data Analytics • Technology

Century Interactive is a company at the forefront of modern marketing technologies and strategies. The company focuses on tools and techniques that enhance search engine optimization (SEO), fair pricing, global marketing, and data-driven sales and marketing efforts. Century Interactive offers solutions like a keyword grouper tool for effective SEO and call tracking metrics for optimizing customer engagement and sales processes. Through its innovative approaches, Century Interactive aims to equip both novices and experts in the marketing and business landscapes with the tools necessary for success in the digital age.

📋 Description

• Lead the design, development, and deployment of NLP and LLM-powered models that drive key products and business functions. • Turn cutting-edge models into production-ready, scalable solutions, ensuring seamless integration into our applications. • Build APIs and pipelines that power AI-driven insights from a variety of data sources like call transcriptions and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis. • Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions. • Ensure MLOps best practices are followed, with a focus on model monitoring, versioning, and retraining workflows. • Serve as a technical mentor through code reviews, pair programming, and guidance on best practices.

🎯 Requirements

• 5+ years of experience in machine learning engineering with a focus on NLP and LLM technologies (e.g., BERT, GPT, or similar transformer models). • Proven experience in building and deploying large-scale NLP models for real-world applications. • Expertise in turning research-based models into scalable, production-level solutions. • Strong programming skills in Python, with deep familiarity in libraries like TensorFlow, PyTorch, or Hugging Face. • Experience with cloud-based infrastructures (AWS, Azure, GCP) and tools like Kubernetes, Docker, and MLflow. • A team-oriented mindset, with a passion for collaborating and mentoring others.

🏖️ Benefits

• Medical and dental insurance options. • Company provided Long Term Disability and Life Insurance. • 401k with company match to help secure your financial future. • A monthly wellness allowance, reading stipend, and other perks to ensure a healthy work-life balance. • Clear opportunities for career growth with mentorship from senior leaders. • An exciting, collaborative work environment with regular team-building activities and company events.

Apply Now

Similar Jobs

🔥 20 hours ago

EWOR

201 - 500

📚 Education

💸 Finance

💼 Consulting

Co-Founder / CEO responsible for launching and scaling AI Infrastructure startups in a supportive environment. Engage with experienced entrepreneurs while developing a high-growth venture.

🇺🇸 United States – Remote

💰 $34.2M Series A - EWOR on 2025-04

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

🔥 20 hours ago

EWOR

201 - 500

📚 Education

💸 Finance

💼 Consulting

Co-Founder / CCO leading an AI Infrastructure startup backed by experienced entrepreneurs. Building startup with coaching and funding support to reach significant revenues.

🇺🇸 United States – Remote

💰 $34.2M Series A - EWOR on 2025-04

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

🕒 5 days ago

Honeycomb.io

51 - 200

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

Senior Software Engineer II at Honeycomb.io building observability solutions for AI workloads with tech stack in Go and React. Collaborating across teams to enhance product features with clear communication.

React

TypeScript

🕒 July 14

Tiger Analytics

1001 - 5000

🏥 Healthcare

📦 Logistics

📣 Marketing

Forward Deployed Engineer at Tiger Analytics driving deployment and scaling of Generative AI solutions. Collaborate with teams to operationalize AI research into production-grade infrastructure.

AWS

Azure

BigQuery

Cloud

Google Cloud Platform

Python

SQL

🕒 July 14

Akamai Technologies

5001 - 10000

🔒 Cybersecurity

Senior Product Manager defining product strategy for GPU products at Akamai. Focused on managing product lifecycle, go-to-market strategies, and collaboration with ecosystem partners.

Cloud