Machine Learning

2 days ago


Kollam, Kerala, India Jilz & Ganze Innovators Private Limited Full time ₹ 5,00,000 - ₹ 8,00,000 per year

About the Role

We are looking for a passionate and adaptive Machine Learning / AI Developer who can quickly learn and apply cutting‑edge AI tools and frameworks. This role is ideal for someone with a strong foundational understanding of AI/ML concepts and hands‑on coding ability, who thrives on experimentation and rapid prototyping.

Key Responsibilities

  • Design, implement, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, and Transformers.
  • Work with TPUs and GPUs for accelerated ML training and inference.
  • Preprocess, clean, and analyze large structured and unstructured datasets, including vector database integration.
  • Collaborate with backend and frontend engineers to integrate ML models into scalable applications.
  • Keep up to date with the latest advancements in ML architectures and deployment methods.
  • Perform model evaluation, hyperparameter tuning, and performance benchmarking.
  • Implement best practices in model reproducibility, version control, and documentation.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
  • Strong programming skills in Python, with exposure to a plus.
  • Understanding of ML models including supervised, unsupervised, and deep learning approaches.
  • Knowledge of Transformers and NLP models is highly desirable.
  • Familiarity with database concepts, including vector search.
  • Good grasp of data pipelines, preprocessing techniques, and cloud‑based ML deployment.

Soft Skills & Attributes

  • Fast learner with ability to adapt to new technologies quickly.
  • Strong problem‑solving mindset and attention to detail.
  • Collaborative attitude with good communication skills.
  • Self‑motivated and curious about AI trends and innovations.

What We Offer

  • Opportunity to work with modern AI technologies and frameworks.
  • A collaborative, learning‑focused work culture.
  • Scope to experiment, innovate, and shape impactful AI solutions.


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