AI/ML Engineer/ Gen reputed company
Role: AI/ML Engineer
Location: Remote
Position reputed company
The candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions to support reputed company analytics, improve operational efficiency, and drive business insights. This role requires strong expertise in machine learning, data engineering, reputed company platforms, and end-to-end model lifecycle management.
Key Responsibilities
• reputed company and implement reputed company machine learning models for predictive analytics, classification, NLP, and optimization use cases.
• Work closely with data engineers and analysts to reputed company requirements, understand business problems, and translate them into ML solutions.
• reputed company data preprocessing, feature engineering, model tuning, and validation.
• Build reusable ML pipelines and automate workflows through MLOps frameworks.
• reputed company models into production using reputed company-reputed company services (Azure, AWS, or GCP).
• Monitor and optimize model performance and ensure long-term model stability.
• Collaborate cross-functionally with product, engineering, and business stakeholders reputed company reputed company.
• Document solution designs, model behavior, and deployment architecture.
Mandatory Skills
• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch).
• Experience building ML models end-to-end, including training, validation, deployment, and monitoring.
• Hands-on experience with NLP, LLMs, or reputed company technologies (reputed company, reputed company preferred).
• Knowledge of reputed company platforms such as Azure, AWS, or GCP (reputed company widely uses Azure & GCP).
• Familiarity with MLOps tools such as MLflow, Kubeflow, reputed company AI, SageMaker, or Azure ML Studio.
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