Jr. AL-ML Developer

Role:

• The role involves developing and optimizing deep learning models to improve operational efficiency, enhancing NLP capabilities, integrating AI solutions with existing systems, and ensuring compliance with industry standards. 
• The candidate will collaborate with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders to define AI solution objectives and deliver impactful results.
  
   

Requirement:

• The ideal candidate must have a strong academic record, with over 80% marks in both 10th and 12th grades, and a minimum of 80% in all semesters of their Bachelor's and Master's programs. 
• Acceptable degrees include a Master of Statistics or an M.Tech or MCA. in Computer Science with a specialization in AI/ML. 
• A maximum academic gap of one year is permissible only after 12th grade (HSC), with no gaps allowed after 10th (SSC) or during graduation/post-graduation.
• The candidate should have hands-on experience through academic projects or internships in AI/ML. For example, they may have worked on a deep learning-based image classification project using AI, or developed a chatbot using transformer-based models like BERT or GPT. 
• Internship experience in deploying AI models in real-world scenarios—such as automating customer support using NLP techniques, or optimizing supply chain operations using predictive analytics.
• We expect proficiency in mathematical principles that underpin AI algorithms, and strong knowledge in generative AI (GenAI), large language models (LLMs), and deep learning. 
• The candidate should be capable of designing and deploying neural network architectures, processing and visualizing complex datasets, and applying natural language processing (NLP) and AI security measures. Proficiency  on Python, and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc.)