Generative AI/ML- Python Developer

As a Generative AI/ML Python Developer with 3 to 5 years of experience, you will be responsible for building and deploying generative and traditional ML models from ideation and data preparation to production pipelines and performance optimization. Your role will involve solving real problems, handling data end-to-end, navigating the AI development lifecycle, and contributing to model innovation and operational excellence. Your key responsibilities will include engaging in the full AI/ML lifecycle, building and fine-tuning transformer-based LLMs (like GPT, BERT), GANs, diffusion models, and traditional ML models. You will also be involved in data engineering tasks such as cleaning, labeling, preprocessing, augmenting, and versioning datasets. Additionally, you will work on model deployment, MLOps, troubleshooting, optimization, collaboration with cross-functional teams, innovation, research, and documentation. To qualify for this role, you should have a Bachelor's degree in CS, AI, Data Science, or a related field, along with 1-2 years of experience in ML/AI roles. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, and scikit-learn is required. You should have a strong understanding of the AI project lifecycle and MLOps principles, as well as experience in data workflows, Docker, REST APIs, Git, and cloud platforms. Preferred skills for this role include experience with projects involving ChatGPT, LLaMA, Stable Diffusion, or similar models, familiarity with prompt engineering, RAG pipelines, vector DBs, exposure to CI/CD pipelines, ML metadata/versioning, a GitHub portfolio, or publications in generative AI, and awareness of ethics, bias mitigation, privacy, and compliance in AI. This is a full-time position located onsite. If you are a proactive individual with excellent analytical and problem-solving skills, strong communication abilities, and a passion for AI and ML, we encourage you to apply for this role and be a part of our AI/ML team.,