<p><p><b>About the Role:</b><br/><br/>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.<br/><br/><b>Key Responsibilities:</b><br/></p><br/><p>- Build and deploy machine learning models to analyze, monitor, and predict IT system behavior</p><p><br/></p><p>- Design and implement NLP pipelines for extracting insights from unstructured data</p><p><br/></p><p>- Integrate and fine-tune Large Language Models (LLMs) for conversational AI and automated decision-making</p><p><br/></p><p>- Optimize ML pipelines for speed, accuracy, and scalability in production environments</p><p><br/></p><p>- Collaborate closely with product, engineering, and data teams to deliver AI-powered features and solutions</p><br/><p><b>Qualifications & Skills :</b></p><p><b><br/></b></p><p>- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn</p><p><br/></p><p>- Proficiency in NLP libraries, including spaCy and Hugging Face Transformers</p><p><br/></p><p>- Strong foundation in statistics, algorithm design, and model evaluation techniques</p><p><br/></p><p>- Experience with cloud-based AI platforms like AWS SageMaker or Google AI Platform</p><p><br/></p><p>- Familiarity with MLOps best practices, including scalable model deployment and monitoring</p><p><br/></p><p>- Excellent problem-solving, software development, and communication skills</p><br/><p></p><br/></p> (ref:hirist.tech)