Python Artificial Intelligence/Machine Learning Developer - Generative AI

As an AI/ML Engineer specializing in Generative AI, you will have the exciting opportunity to contribute to the development and deployment of cutting-edge intelligent models and systems. Your key responsibilities will include: - Assisting in the development, training, and evaluation of machine learning and deep learning models. - Fine-tuning pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA for specific use cases. - Working with datasets: collection, preprocessing, augmentation, and analysis. - Participating in model optimization, deployment via APIs, and performance monitoring. - Taking ownership of implementation, quality assurance, continuous integration and deployment, and application monitoring. To excel in this role, you should possess the following required skills: - Strong understanding of machine learning, deep learning, and generative AI concepts. - Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. - Exposure to NLP techniques and transformer models (e.g., GPT, BERT). - Basic knowledge of model training, evaluation metrics, and deployment pipelines. - Familiarity with data preprocessing, cleaning, and visualization techniques. - Hands-on experience with SQL databases. Additionally, it would be beneficial if you have the following skills: - Hands-on experience with Generative AI models like GPT, DALL-E. - Familiarity with LangChain, LlamaIndex, or other LLM frameworks. - Experience with Hugging Face, OpenAI, or similar APIs. - Understanding of prompt engineering and fine-tuning strategies. - Exposure to MLOps tools like MLflow, Weights & Biases, DVC. - Participation in AI/ML competitions like Kaggle or contribution to open-source projects. Qualifications required for this role: - Education: B.Tech, M.Tech, or MCA. - 1-2 years of professional or academic project experience in AI/ML. - Certification/courses/formal training in the field. - Solid understanding of mathematics related to data science: probability, statistics, linear algebra. - Experience in building end-to-end ML, AI, or Generative AI projects. - Excellent oral and written communication skills. - Mindset to thrive in a startup culture. This is an excellent opportunity for early-career professionals to gain valuable experience and grow in the dynamic field of AI/ML and generative AI technologies.,