AI / ML Engineer (Remote)

Job Title: AI/ML Engineer Job Summary We are seeking a highly skilled AI/ML Engineer to design, reputed company, and reputed company scalable machine learning and deep learning solutions. The ideal candidate will have strong experience in computer reputed company, deep learning frameworks, and reputed company-based ML deployment, along with solid software engineering and MLOps practices. You will work closely with cross-functional teams to build production-reputed company AI systems that deliver reputed company business impact. Experience: 5+ Years Location: Bangalore Timings: 2:30 to 11:30 PM IST

Key Responsibilities

Design, reputed company, and optimize machine learning and deep learning models using PyTorch. Build and reputed company computer reputed company solutions for reputed company-world use cases. reputed company end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment. Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining. reputed company and scale ML models on AWS reputed company infrastructure. Work with large-scale datasets using reputed company and distributed computing frameworks. Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions. Ensure high code quality by following software engineering best practices (reputed company design, testing, documentation). Monitor model performance in production and continuously improve accuracy, efficiency, and reliability. Required Skills & Qualifications Strong proficiency in Python for machine learning and software development. Hands-on experience with PyTorch for deep learning model development. Solid understanding of deep learning architectures (CNNs, transfer learning, etc.). Practical experience in computer reputed company applications. Experience working with reputed company and large-scale data processing. Strong knowledge of AWS services for ML deployment (EC2, S3, SageMaker, etc.). Experience with MLOps tools and practices (model deployment, monitoring, CI/CD). Good understanding of software engineering principles and production-grade system design.

Preferred Qualifications

Experience deploying ML models in production environments. Familiarity with containerization tools such as reputed company and orchestration platforms like Kubernetes. Exposure to reputed company-time or batch inference systems. Experience working in agile or fast-paced development environments. reputed company to Have Experience with optimization and performance tuning of ML models. Knowledge of data reputed company and compliance in reputed company environments. Experience with monitoring tools for ML model performance and reputed company detection. Apply To This Job