Senior AIML Developer

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

Job Title:

Senior AI/ML Developer

Location:

IDC

Job Type:

Full-time

Job Description:

ServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source procure manage and pay for repair and maintenance services through a single unified platform. Our mission is to simplify operations and deliver exceptional customer experiences through innovation and technology.

We are looking for a highly skilled and experienced Senior AI/ML Developer to join our dynamic this role you will design and deploy state-of-the-art machine learning (ML) models develop scalable data pipelines and collaborate with cross-functional teams to drive innovative solutions. You will work with large and complex datasets implement cutting-edge technologies and shape the future of our AI-driven initiatives.

Responsibilities:

Build and automate robust scalable ML pipelines for training validation deployment and monitoring in production environments.
Collaborate with data scientists engineers and product managers to understand business requirements and translate them into ML solutions.
Analyze and process large-scale datasets to develop efficient ML models and drive actionable insights.
Own the end-to-end ML model lifecycle including versioning deployment performance monitoring (e.g. drift detection) recalibration troubleshooting and retraining.
Develop and manage CI/CD pipelines for ML workflows including automated testing containerization and model registry integration.
Implement and manage scalable ML infrastructure for data processing training and inference in collaboration with DevOps and engineering teams.
Continuously improve engineering practices code quality and automation while staying up to date with the latest trends in AI ML and MLOps.

Requirements:

Minimum 5 years of experience in ML engineering or a combination of ML engineering and data science with a focus on data analysis feature engineering model development deployment and maintenance.
Strong hands-on experience with Databricks for ML model development and deployment.
Strong understanding of machine learning and data science fundamentals (e.g. supervised and unsupervised learning feature selection etc.).
Proficiency with popular ML frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn).
Experience implementing MLOps practices using tools such as MLflow and CI/CD platforms (e.g. GitHub).
Deep understanding of the ML model lifecycle and production workflows.
High proficiency in SQL and Python.
Familiarity with cloud-based data platforms such as Snowflake or similar technologies.
Excellent communication and interpersonal skills to collaborate across teams.
Robust problem-solving and analytical skills.

Required Experience:

Senior IC

DescriptionJob Title:Senior AI/ML DeveloperLocation:IDCJob Type:Full-timeJob Description:ServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source procure manage and pay for repair and maintenance services through a single unifie...

Description

Job Title:

Senior AI/ML Developer

Location:

IDC

Job Type:

Full-time

Job Description:

Responsibilities:

Build and automate robust scalable ML pipelines for training validation deployment and monitoring in production environments.
Collaborate with data scientists engineers and product managers to understand business requirements and translate them into ML solutions.
Analyze and process large-scale datasets to develop efficient ML models and drive actionable insights.
Own the end-to-end ML model lifecycle including versioning deployment performance monitoring (e.g. drift detection) recalibration troubleshooting and retraining.
Develop and manage CI/CD pipelines for ML workflows including automated testing containerization and model registry integration.
Implement and manage scalable ML infrastructure for data processing training and inference in collaboration with DevOps and engineering teams.
Continuously improve engineering practices code quality and automation while staying up to date with the latest trends in AI ML and MLOps.

Requirements:

Minimum 5 years of experience in ML engineering or a combination of ML engineering and data science with a focus on data analysis feature engineering model development deployment and maintenance.
Strong hands-on experience with Databricks for ML model development and deployment.
Strong understanding of machine learning and data science fundamentals (e.g. supervised and unsupervised learning feature selection etc.).
Proficiency with popular ML frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn).
Experience implementing MLOps practices using tools such as MLflow and CI/CD platforms (e.g. GitHub).
Deep understanding of the ML model lifecycle and production workflows.
High proficiency in SQL and Python.
Familiarity with cloud-based data platforms such as Snowflake or similar technologies.
Excellent communication and interpersonal skills to collaborate across teams.
Robust problem-solving and analytical skills.

Required Experience:

Senior IC

Key Skills

APIs
REST
Spring
SOAP
.NET
React
Node.js
Angular
J2EE
JavaScript
Web Services
Java

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About Company

Fortive

Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more

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