Job Type: Full time

Experience: 5-8 Years Mode: WFO ( 5 Days ) JobLocation: Bangalore Job Type: Full Time • Minimum 5 years’experience in Object Oriented Design and/or Functional Programmingin Python. 5 - 10 years of experience • Mature software engineeringskills, such as source control versioning, requirement spec,architecture, and design review, testing methodologies, CI/CD, etc.• Must have a disciplined, methodical, minimalist approach todesigning and constructing layered software components that can beembedded within larger frameworks or applications. • Experienceimplementing machine learning frameworks and libraries such asMLflow • Experience with containers and container managements(docker, Kubernetes) • Experience developing cloud first solutionsusing Microsoft Azure Services including building machine learningpipelines in Azure Machine Learning and/or Fabric, Hands-onexperience in deploying machine learning pipelines with AzureMachine Learning SDK • Working knowledge of mathematics (primarilylinear algebra, probability, statistics), and algorithms. •Proficient at orchestrating large-scale ML/DL jobs, leveraging bigdata tooling and modern container orchestration infrastructure, totackle distributed training and massive parallel model executionson cloud infrastructure.



• Experience designing custom APIs formachine learning models for training and inference processes anddesigning, implementing, and delivering frameworks for MLOps. •Experience with model lifecycle management and automation tosupport retraining and model monitoring • Experience implementingand incorporating ML models on unstructured data using cognitiveservices and/or computer vision as part of AI solutions andworkflows. • History of working with large scale model optimizationand hyperparameter tuning, applied to ML/DL models. • Knowledge ofenterprise SaaS complexities including security/access control,scalability, high availability, concurrency, online diagnoses,deployment, upgrade/migration, internationalization, and productionsupport. • Knowledge of data engineering and transformation toolsand patterns such as Databricks, Spark, Azure Data Factory •Ability to engage other technical experts at all organizationallevels and assess opportunities to apply machine learning andanalytics to improve business workflows and deliver information andinsight to support business decisions. • Ability to communicate ina clear, concise, and understandable manner both orally and inwriting.

📌 Senior AI Machine Learning Engineer (Karnataka)
🏢 Talent Smart
📍 Karnataka