AI [Artificial Intelligence] Engineer

Job highlights

• Experience with computer vision libraries (e.g.,OpenCV,Keras) and techniques for image processing and analysis. Proficiency in developing predictive models using statistical and machine learning techniques,Familiarity with reinforcement learning frameworks and algorithms.
• Professional Experience
• Experience in integrating AI solutions into business operations or products

**Company Overview

Join Navatech Labs, where innovation meets excellence. Our forward-thinking team is dedicated toadvancing 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 LanguageProcessing (NLP), Large Language Model (LLM) training and tuning, MLOps, and Cloud

**Key Responsibilities

• Develop and implement cutting-edge AI algorithms and models to solve complex business challenges.

• Leverage computer vision techniques for image and video analysis in construction projects.

• Apply reinforcement learning techniques for developing intelligent automation solutions.

• Participate in the end-to-end lifecycle of machine learning models, from training and validation to deployment and monitoring. Collaborate with cross-functional teams to establish effective MLOps practices, ensuring seamless deployment, monitoring, and management of AI models.

• Integrate AI solutions into existing platforms, working closely with various teams.

• Utilize cloud platforms for scalable and efficient AI solutions, leveraging services like AWS or Google Cloud.

  Requirements

  **Professional Experience

  • Proven experience (2-3 years) in developing and deploying AI models, with a focus on computer vision, predictive analytics, or reinforcement learning.

  • Experience in integrating AI solutions into business operations or products.

    **Technical Skills **- Strong programming skills in languages such as Python and C++, and proficiency with AI frameworks (e.g., TensorFlow, PyTorch).

    • Experience with computer vision libraries (e.g., OpenCV, Keras) and techniques for image processing and analysis.
    • Proficiency in developing predictive models using statistical and machine learning techniques, Familiarity with reinforcement learning frameworks and algorithms.
    • Experience with MLOps tools and practices for model deployment, monitoring, and automation.
    • Familiarity with cloud services and infrastructure for AI applications, Strong understanding of AI patterns, model optimization, and hyperparameter tuning 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.**********