The Role
Design, train, fine-tune, and deploy NLP and generative AI models (including LLMs) and conversational agents. Implement MLOps practices for production deployment, monitor model performance, iterate improvements, and integrate AI solutions on cloud platforms (AWS/GCP) while collaborating with cross-functional teams.
Summary Generated by Built In
Company Overview
Join Navatech Labs, where innovation meets excellence. Our forward-thinking team is dedicated to
advancing the construction industry through artificial intelligence. As a vital member of our AI team,
you will be at the forefront of groundbreaking projects utilising GenAI, Natural Language
Processing (NLP), Large Language Model (LLM) training and tuning, MLOps, and Cloud
Key Responsibilities
- Develop and implement innovative NLP algorithms and models to address complex
business challenges, Utilise large language models (LLMs) for natural language processing
and generative AI tasks. Develop advanced generative AI solutions using open-source
LLMs.
- Participate in the training and fine-tuning of Large Language Models to ensure optimal
performance and accuracy. Assess machine learning model performance, iterate on
improvements, and apply best practices for model validation.
- Collaborate with cross-functional teams to establish effective MLOps practices, ensuring
seamless deployment, monitoring, and management of machine learning models. Integrate
AI solutions into existing platforms, working closely with various teams.
- Leverage cloud platforms for scalable and efficient machine learning solutions, utilising
services like AWS or Google Cloud.
Requirements
Professional Experience
- Proven experience (2-3 years) in developing and deploying machine learning models, with
a focus on NLP.
- Experience in developing and deploying chatbot or conversational AI systems.
Technical Skills
- Strong programming skills in languages such as Java and Python, and proficiency with ML
frameworks (e.g., TensorFlow, PyTorch).
- Experience in using LLMs for natural language processing or generative AI tasks.
- Experience with MLOps tools and practices for model deployment, monitoring, and
automation.
- Familiarity with cloud services and infrastructure for machine learning applications.
- Strong understanding of AI, Generative AI patterns such as RAG and prompt engineering
techniques.
- Excellent problem-solving skills and a team-oriented mindset.
- Strong communication skills to convey complex technical concepts to both technical and
non-technical stakeholders.
Benefits
What We Offer
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI projects
- https://www.linkedin.com/posts/cyberamyntas_edgeai-aidevelopment-languagemodels-activity-7190672496885485570-WOGK
- Collaborative and inclusive team environment.
- https://www.linkedin.com/posts/navatech-group_navapulse2023-annualparty-activity-7163411226117586944-l_Fx
- Continuous learning and professional development opportunities.
Skills Required
- Proven experience (2-3 years) developing and deploying machine learning models with focus on NLP
- Experience developing and deploying chatbot or conversational AI systems
- Strong programming skills in Java
- Strong programming skills in Python
- Proficiency with ML frameworks such as TensorFlow
- Proficiency with ML frameworks such as PyTorch
- Experience using LLMs for natural language processing or generative AI tasks
- Experience in training and fine-tuning Large Language Models
- Experience with MLOps tools and practices for model deployment, monitoring, and automation
- Familiarity with cloud services and infrastructure for ML applications (AWS or Google Cloud)
- Strong understanding of generative AI patterns such as RAG and prompt engineering techniques
- Excellent problem-solving, communication skills, and a team-oriented mindset
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The Company
What We Do
Navatech Group is an AI-driven technology company that specializes in digitizing high-risk industries, starting with construction. It develops an AI-powered, cloud-native safety management platform and conversational AI workflows designed to enhance communication, safety, and efficiency for frontline workers. Its mission is to make health and safety management more intuitive and accessible, boosting productivity and compliance for global workforce operations.









