Job Description

Aegan Technologies is looking for an experienced MLOps Engineer/Lead Job Title: MLOps Engineer/Lead Company: Aegan Technologies Location: Mumbai, Bangalore, Pune, Chennai (Hybrid) Notice Period: 0 to 30 days only Job Description: Key Responsibilities: Architect and deploy ML solutions in AWS. Select appropriate ML technologies and AWS services for implementation. Build and maintain infrastructure for ML model development, deployment, and monitoring. Implement CI/CD pipelines to streamline development and deployment. Collaborate with data scientists on model serving, versioning, and reproducibility. Optimize model performance in production and proactively resolve issues. Automate workflows to improve efficiency and reduce manual errors. Document best practices and provide training on MLOps methodologies. Stay updated on the latest MLOps tools, technologies, and trends. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or related fields. Strong programming skills in Python, GoLang (Java, C++, Scala is a plus). Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Proficiency with CI/CD tools (GitHub Actions). Hands-on experience with AWS services for ML. Expertise in containerization & orchestration (Docker, Kubernetes). Knowledge of Infrastructure-as-Code tools (AWS CDK, CloudFormation). Strong understanding of the ML lifecycle , from data preprocessing to deployment. Excellent problem-solving and communication skills. Preferred Qualifications: AWS Certified Machine Learning Specialty certification. Experience with feature stores, model registries, ML monitoring tools (MLflow, Tecton, Seldon). Familiarity with data engineering tools (AWS EMR, Glue, Apache Spark). Knowledge of ML security best practices . Experience with A/B testing and model performance monitoring . If you're interested, send your updated resume to raj@aegan-global.com or contact 8438411241