AI ENGINEER

• Results-oriented AI Engineer with 4–5 years of experience in designing, developing, and deploying enterprise-scale AI/ML solutions.
• Strong expertise in Machine Learning, Deep Learning, NLP, Predictive Analytics, Time Series Forecasting, and Generative AI.
• Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, Hugging Face, SpaCy, Pandas, and NumPy.
• Experienced in building end-to-end AI pipelines covering data ingestion, model development, deployment, and monitoring.
• Skilled in MLOps practices, CI/CD automation, Docker, Kubernetes, API development, and model governance.
• Hands-on experience with large-scale data processing, ETL pipelines, Spark, Databricks, Microsoft Fabric, and data platforms.
• Knowledge of cloud ecosystems such as Azure and AWS, including Azure ML and SageMaker services.
• Capable of integrating AI models into enterprise applications and translating model outputs into actionable business insights.
• Preferred experience in LLMs, RAG architectures, AI Copilots, LangChain, Semantic Kernel, and knowledge graph-based solutions.
• Strong stakeholder management, problem-solving, communication, and collaboration skills with a focus on delivering measurable business value and ROI.