Job Summary

Global MNC Tech is seeking a highly skilled Machine Learning Engineer II to join our cutting-edge Generative AI and Retrieval-Augmented Generation (RAG) team. In this role, you will design, develop, and deploy advanced AI models that power next-generation applications across multiple industries. You will collaborate with data scientists, software engineers, and product teams to transform innovative ideas into production-ready AI solutions. This role is ideal for professionals who thrive in fast-paced, research-driven environments and are passionate about advancing AI technologies responsibly and efficiently.

Key Responsibilities

• Design, develop, and optimize machine learning models, focusing on Generative AI, RAG, and natural language processing applications.

• Implement scalable AI pipelines and ensure robust deployment of models in cloud and on-premises environments.

• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.

• Conduct rigorous experimentation, evaluation, and fine-tuning of models to ensure high accuracy, efficiency, and reliability.

• Stay up-to-date with the latest research in AI/ML, particularly in large language models, generative frameworks, and RAG techniques.

• Mentor junior engineers and contribute to code reviews, knowledge sharing, and best practices.

• Ensure adherence to ethical AI principles, including data privacy, fairness, and transparency.

Required Skills and Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Proven experience in developing and deploying machine learning models, with a focus on NLP, Generative AI, and RAG.

• Strong programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX.

• Experience with cloud platforms (AWS, GCP, or Azure) and model serving technologies.

• Solid understanding of algorithms, data structures, and statistical modeling.

• Experience with vector databases, embeddings, and knowledge retrieval systems is highly desirable.

• Strong analytical, problem-solving, and debugging skills.

Experience

• 3–5 years of professional experience in machine learning, AI development, or related roles.

• Prior experience in building production-grade Generative AI models or RAG systems is preferred.

• Demonstrated track record of working on collaborative AI projects and delivering impactful results.

Working Hours

• Full-time position with standard working hours (40 hours/week).

• Flexibility to collaborate with global teams across different time zones is required.

• Occasional extended hours may be needed during critical project milestones.

Knowledge, Skills, and Abilities

• Deep understanding of modern AI/ML techniques, including transformers, LLMs, embeddings, and vector search.

• Strong communication skills to explain complex concepts to technical and non-technical stakeholders.

• Ability to work independently, prioritize tasks, and manage multiple projects concurrently.

• Curiosity and commitment to continuous learning in a rapidly evolving AI landscape.

• Strong teamwork and mentorship abilities to foster a collaborative environment.

Benefits

• Competitive salary with performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work arrangements.

• Professional development programs, conferences, and research opportunities.

• Access to state-of-the-art AI infrastructure and tools.

• Employee wellness programs, gym memberships, and lifestyle benefits.

Why Join Global MNC Tech?

• Work at the forefront of AI innovation and impact real-world solutions.

• Be part of a dynamic, diverse, and inclusive global team.

• Gain exposure to cutting-edge research and industry-leading AI practices.

• Enjoy a culture that values creativity, collaboration, and continuous learning.

• Contribute to projects that shape the future of technology while upholding ethical AI standards.

How to Apply

• Submit your application via our official careers portal: www.globalmnctech.com/careers

• Include your updated resume, a cover letter highlighting relevant experience, and links to any projects, publications, or GitHub repositories.

• Shortlisted candidates will be contacted for a multi-stage interview process, including technical assessments and problem-solving exercises.