Senior ML - Backend Engineer

2 hours ago

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Intetics

WebsiteLinkedInAll Job Openings

software development • application development • mobile development • agile • software testing

501 - 1000 employees

Founded 1997

☁️ SaaS

🤝 B2B

Description

• Intetics Inc, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a talented Senior ML/Bakcend Engineer to join our team. • About the Project: Innovative AI marketplace. From scratch, you'll be the first developer. • About the Role • We are seeking a highly skilled Senior ML/Bakcend Engineer to join our dynamic team at Intetics Inc. The ideal candidate has a robust background in Machine Learning, DevOps practices, and hands-on experience with Large Language Model (LLM)-based solutions. In this role, you will play a critical role in designing, developing, and deploying complex systems that leverage state-of-the-art ML techniques and language models. You'll work cross-functionally to integrate ML-driven functionalities seamlessly within our product stack, ensuring reliability, scalability, and operational efficiency.

Requirements

• Experience: 4+ years of engineering experience, with a focus on ML applications. • Hands-on experience with ML frameworks (TensorFlow, PyTorch) and knowledge of model training, evaluation, and deployment. • Proficient in creating CI/CD pipelines, infrastructure as code (e.g., Terraform, Ansible), and cloud platform management (AWS, GCP, Azure). • Demonstrated experience working with LLMs (e.g., GPT, Llama) for application in production environments. • Backend frameworks (Django or Flask or FastAPI). • Experience with Code Assistants (Github Copilot, Codex, etc.). • Strong expertise in cloud services, containerization (Docker, Kubernetes), and microservices architecture. • Will be a Plus: • Data Science Background: Experience with data analysis, statistical modeling, and familiarity with data science tools (e.g., Pandas, NumPy, Scikit-learn). • Experience in NLP and conversational AI. • Proficiency with frontend technologies (React, Angular, Vue) • Familiarity with RESTful APIs and GraphQL. • Understanding of data engineering principles and tools for handling large datasets. • Exposure to A/B testing, experiment design, and metrics-driven development.