AI Technical Specialist

The role involves developing ML pipelines, building GenAI applications, and deploying models using cloud-based MLOps platforms . We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions.

AI/ML Lead Engineer
Required Skills and experience- Total 12+yrs of experience 

Strong expertise in Python and Machine Learning frameworks. Experience with data engineering pipelines and cloud-based ML deployments. Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines. Working knowledge of backend development for AI services. Experience with Generative AI and LLM-based applications.

We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ML pipelines, building GenAI applications, and deploying models using cloud-based MLOps platforms. Experience in the Telecom BSS/OSS domain is preferred.

 Key Responsibilities

• Develop and deploy Machine Learning and Generative AI solutions for enterprise applications.
• Build end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex.
• Design and manage data pipelines using SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
• Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
• Deploy and manage ML workloads on AWS SageMaker, Azure ML, or GCP AI Platform.
• Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications.
• Collaborate with business stakeholders to develop AI solutions for Telecom BSS/OSS use cases.