Senior AI Engineer

Overview

Senior AI Engineer

Location: Infopark, Thrissur, Kerala
Employment Type: Full-Time
Experience Required: Minimum 5 Years providing AI Solutions, including expertise in ML/DL Projects

About Us

JK Lucent is a growing IT services provider headquartered in Melbourne, Australia, with an operations centre at Infopark, Thrissur, Kerala. We specialize in Software Development, Software Testing, Game Development, RPA, Data Analytics, and AI solutions. At JK Lucent, we are driven by innovation and committed to delivering cutting-edge technology services that solve real-world problems and drive digital transformation.

About the Role

We are looking for a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced AI systems. This role requires deep expertise in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs). The successful candidate will work on complex AI initiatives, contribute to production-ready systems, and mentor junior engineers. A strong command of professional English and the ability to communicate technical concepts clearly is essential.

Roles and Responsibilities

• Design and develop scalable AI and ML models for real-world applications.
• Build, fine-tune, and implement Large Language Models (LLMs) for use cases such as chatbots, summarization, and document intelligence.
• Work with deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Collaborate with cross-functional teams to translate business problems into AI solutions with necessary visualizations using tools like Tableau or Power BI.
• Deploy models to production environments and implement monitoring and model retraining pipelines.
• Stay up to date with the latest research and trends in AI, especially in LLMs and generative models.
• Guide and mentor junior AI engineers, reviewing code and providing technical leadership.
• Contribute to technical documentation, architecture design, and solution strategies.
• Ensure models are developed and used ethically and comply with data privacy standards.

Requirements

• Minimum 5 years of experience in AI/ML development with hands-on expertise in model design, development, and deployment.
• Strong experience working with LLMs and Generative AI tools such as Hugging Face Hub, LangChain, Haystack, LLaMA, GPT, BERT, and T5.
• Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, XGBoost, scikit-learn, and Hugging Face Transformers.
• Solid understanding of mathematics, statistics, and applied data science principles.
• Experience deploying models using Docker, FastAPI, MLflow, or similar tools.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Demonstrated experience in working on end-to-end AI solutions in production environments.
• Excellent English communication skills (verbal and written) and ability to present technical topics.
• Strong leadership skills and experience mentoring junior developers or leading small technical teams.
• Bachelor's or Master's in Computer Science, AI, Data Science, or a related discipline.

Job Type: Full-time

Pay: ₹600,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift
• Monday to Friday

Application Question(s):

• 1. Are you able to commute daily to Infopark, Koratty, Thrissur? (Yes/No)
• 2. How many years of total IT experience do you have? (Numeric)
• 3. How many years of experience do you have in AI/ML development? (Numeric)
• 4. How many years of experience do you have working with Large Language Models (LLMs)? (Numeric)
• 5. Are you proficient in Python? (Yes/No)
• 6. Have you used frameworks like TensorFlow, PyTorch, or Hugging Face? (Yes/No)
• 7. Have you deployed AI/ML models to production environments? (Yes/No)
• 8. Have you worked with cloud platforms like AWS, Azure, or GCP? (Yes/No)

*
9. Do you have professional-level proficiency in English? (Yes/No)

• 10. What is your current notice period in days? (Numeric)
• 11. What is your expected salary in LPA? (Numeric)
• 12. What is your current or last drawn salary in LPA? (Numeric)

Work Location: In person