Job Title

Position: AI/ML EngineerLocation: Hyderabad (On-site)Work Hours: Regular Experience: 2–4 yearsEducation:• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field.Key Responsibilities:• Design, build, train, evaluate, and deploy machine learning models for predictive, classification, ranking, anomaly detection, forecasting, and optimization use cases.• Develop AI/ML solutions that enhance agentic AI systems by supplying predictive intelligence, structured scoring, recommendations, and decision-support signals.• Perform data preparation, feature engineering, dataset analysis, and model experimentation across structured and unstructured data sources.• Apply supervised and unsupervised learning techniques, hyperparameter tuning, cross-validation, and statistically sound evaluation methods.• Build NLP- and LLM-enabled solutions where applicable, including text classification, information extraction, semantic similarity, summarization support, and hybrid AI systems.• Integrate machine learning models into backend services, APIs, dashboards, workflow engines, and enterprise applications for real-world production use.• Implement model deployment, versioning, monitoring, retraining, and lifecycle management practices to ensure accuracy, reliability, and long-term value.• Collaborate closely with data engineers to improve data pipelines and feature availability, and with backend and AI engineers to embed models into larger intelligent systems.• Establish evaluation metrics, performance benchmarks, drift detection, feedback loops, and monitoring dashboards.• Translate ambiguous business problems into well-defined, modelable use cases with measurable outcomes and clear deployment strategies.• Support experimentation, pilot implementations, and continuous improvement of AI/ML solutions across automation, analytics, operations, and decision-making workflows.Required Skills:• 2–4 years of hands-on experience in machine learning model development, validation, deployment, and production support.• Strong proficiency in Python with practical experience in ML-focused development.• Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, and model evaluation.• Hands-on experience with core ML and data libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.• Experience with NLP, text analytics, LLM-assisted workflows, or deep learning use cases relevant to enterprise AI.• Experience integrating ML models with backend systems, APIs, and enterprise applications.• Familiarity with MLOps concepts, including model deployment, monitoring, retraining, and CI/CD for ML.• Experience working with Azure ML or Azure-based AI/ML services.• Strong analytical, problem-solving, and debugging skills.• Good communication skills with the ability to clearly explain and document technical concepts.