About the Role :
We are looking for a highly skilled AI / ML Engineer to design and implement intelligent, scalable machine learning solutions. In this role, you will work on a variety of cutting-edge projects involving predictive modeling, natural language processing (NLP), and Large Language Models (LLMs) such as OpenAI GPT, Google BERT, and Cohere. Your work will directly contribute to building next-generation AI-driven features across our platform.
Key Responsibilities :
- Build and deploy machine learning models to analyze, monitor, and predict IT system behavior
- Design and implement NLP pipelines for extracting insights from unstructured data
- Integrate and fine-tune Large Language Models (LLMs) for conversational AI and automated decision-making
- Optimize ML pipelines for speed, accuracy, and scalability in production environments
- Collaborate closely with product, engineering, and data teams to deliver AI-powered features and solutions
Qualifications & Skills :
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learnProficiency in NLP libraries, including spaCy and Hugging Face TransformersStrong foundation in statistics, algorithm design, and model evaluation techniquesExperience with cloud-based AI platforms like AWS SageMaker or Google AI PlatformFamiliarity with MLOps best practices, including scalable model deployment and monitoringExcellent problem-solving, software development, and communication skills(ref : hirist.tech)