Principal AI Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, Machine Learning, Data Engineering, Natural Language Processing, Large Language Models, Statistical Modeling, Python, Docker, Cloud Infrastructure, Technical Leadership, Communication Skills, Data Processing, Model Deployment, Performance Monitoring, Innovation, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AI Engineer in India. As a Principal AI Engineer, you will design, develop, and deploy cutting-edge AI solutions that address complex business challenges. You will lead the full lifecycle of AI projects, from problem analysis and data engineering to model deployment and performance monitoring. This role requires collaboration with cross-functional teams, including product managers and other engineers, to ensure solutions align with business objectives and enhance user experience. You will work with large, complex datasets, build scalable machine learning models, and implement robust AI systems that are production-ready. The position emphasizes technical excellence, innovation, and leadership in a fast-paced, remote-friendly environment where your contributions have a global impact. Accountabilities: Develop and deploy innovative, scalable AI and machine learning solutions to solve complex business problems. Lead end-to-end AI projects, from analyzing requirements to deploying production-grade systems. Design efficient data processing pipelines and manage large, complex datasets. Collaborate with AI engineers, product managers, and stakeholders to ensure solutions meet business needs. Implement robust machine learning models and maintain high-quality AI services. Stay updated on the latest AI/ML advancements and prototype new approaches to address challenges. Document AI solutions clearly and concisely for technical and non-technical audiences. Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field. Deep expertise in machine learning, natural language processing, and large language models (LLMs). Strong foundation in statistical modeling, probability, and linear algebra. Experience curating datasets, training models, evaluating post-deployment performance, and developing robust metrics. Proficiency in Python and high standards for production-ready, maintainable, and testable code. Experience with Docker, cloud infrastructure (AWS), and scalable AI system design. Strong technical leadership and ability to manage open-ended projects independently. Excellent communication skills for engaging both technical and non-technical stakeholders. Preferred: experience with NLP for legal applications, Terraform, and front-end frameworks like React or Node.js. Competitive salary and performance-based recognition. Remote-first work environment with flexibility and autonomy. Opportunities for career growth and leadership in AI and ML engineering. Exposure to cutting-edge AI projects and global business impact. Inclusive, collaborative, and innovation-driven culture. Professional development support including learning resources, mentorship, and skill advancement. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps—such as interviews or additional assessments—are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As a Principal AI Engineer, you will design, develop, and deploy cutting-edge AI solutions that address complex business challenges. You will lead the full lifecycle of AI projects, ensuring solutions align with business objectives and enhance user experience.