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Arna Softech

Posted 27 Aug 2026

AI / ML Engineer

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

We are seeking a skilled AI/ML Engineer with expertise in Generative AI to join our team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML models, with a strong focus on Generative AI solutions. You will work closely with cross-functional teams to build AI-driven applications that enhance business operations and user experiences.


Responsibilities:

  • Design, develop, and implement AI/ML models, focusing on Generative AI (LLMs, diffusion models, GANs, VAEs, etc. ).
  • Train and fine-tune machine learning models using deep learning frameworks like TensorFlow, PyTorch, and Hugging Face.
  • Develop and optimise NLP, Computer Vision, and Predictive Modelling applications.
  • Work with large-scale datasets to preprocess, clean, and annotate data for AI/ML models.
  • Deploy AI models into production environments using cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Collaborate with software engineers, data scientists, and product teams to integrate AI solutions into business applications.
  • Research and stay updated with emerging trends in AI/ML and Generative AI to improve model efficiency and performance.
  • Ensure compliance with ethical AI standards, data privacy, and security best practices


Requirements:

  • Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3-6 years of experience in AI/ML development, with a strong understanding of Generative AI models.
  • Proficiency in Python and experience with ML libraries like TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Hands-on experience with LLMs (GPT, BERT, T5 Llama, etc. ) and fine-tuning pre-trained models.
  • Knowledge of data engineering, including handling large datasets, feature engineering, and data augmentation.
  • Experience with MLOps, model deployment, monitoring, and CI/CD pipelines for AI models.
  • Strong understanding of cloud computing, APIs, and microservices architecture.
  • Problem-solving mindset with the ability to work in a fast-paced and collaborative environment.

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