UST Global Bangalore Hiring Associate Developer (Software Engineering) - Latest MNC Jobs

UST Global announced new job openings for the post of Associate Developer (Software Engineering) for Bangalore locations. Candidates with Bachelor’s in computer science or related field & Trained fresher or 1 year experience in n applying AI/ML are eligible to apply. Candidates kindly apply through the link given below

Name of the Organization: UST Global

Notification ID:

Positions: Associate Developer (Software Engineering)

Location: Bangalore

Experience: Trained fresher or 1 year experience

Educational Qualifications: Bachelor’s in computer science or related field

• Bachelor’s in computer science or related field. Trained fresher or 1 year experience in n applying AI/ML.
• Understanding of data structures, data modeling and software architecture
• Strong understanding of machine learning fundamentals including deep learning, neural networks, and generative models.
• Ability to write robust code in Python.
• Familiarity with machine learning frameworks (Keras, deep learning, TensorFlow, PyTorch, NLP Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or Transformer-based models.)
• Outstanding analytical and problem-solving skills

Job Description:

We are looking for a trained fresher or one year experienced in an artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), chatbots and generative models to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. Therefore, it’s essential that you are skilled at problem solving, solution design, and high-quality coding.

Responsibilities

• Engage in research activities to explore the latest advancements in generative AI techniques and algorithms. Stay updated with current literature and emerging trends in the field.
• Develop AI/ML applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing AI/ML libraries and frameworks.

Online Application Link – Click Here

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