Generative AI Engineer

Company Description
Objectways is a trusted AI data solutions provider, serving Fortune 500 enterprises and high-growth AI teams worldwide. With a workforce of over 2,200 trained annotators and AI specialists across global locations, Objectways offers unparalleled expertise in data annotation, data collection, generative AI development, and content moderation. Leveraging a combination of human precision and scalable infrastructure, Objectways has delivered more than 500 million labeled data points to over 100 customers. The company is certified for ISO 27001, SOC, HIPAA, GDPR, and TPN Gold, ensuring trusted and secure services. Objectways serves critical industries including autonomous vehicles, robotics, healthcare, finance, media, and manufacturing.
Role Description
This is a full-time hybrid role for a Generative AI Engineer based in Chennai, with an opportunity for partial remote work. The role involves the design, development, fine-tuning, and deployment of large language models (LLMs) and generative AI systems. Responsibilities include implementing reinforcement learning with human feedback (RLHF), improving model efficiency, conducting model evaluation, and working with cross-functional teams to deliver AI solutions aligned with client needs. The engineer will also stay updated on the latest advancements in machine learning and assist in integrating generative AI capabilities into Objectways' existing infrastructure.
Qualifications
Proficiency in machine learning frameworks, including TensorFlow and PyTorch
Experience in building and fine-tuning Large Language Models (LLMs) and generative AI systems
Understanding of reinforcement learning techniques, specifically RLHF
Strong programming skills in Python and familiarity with AI/ML libraries
Proven ability to design and optimize machine learning algorithms at scale
Experience with data engineering practices such as data collection, preprocessing, and analysis
Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models
Good communication skills for collaborating with cross-functional teams and presenting technical concepts
A strong academic foundation in computer science, artificial intelligence, or a related field (Bachelor’s, Master’s, or PhD preferred)
Knowledge of ethical AI practices and understanding of data security protocols will be an advantage
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