Senior Machine Learning Engineer-MLOps & Applied AI

6 - 10 years

20 - 25 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet

Job Title: Senior Machine Learning Engineer MLOps & Applied AI

Location: Chennai

Work Type: Hybrid

Position Description:

We are seeking a highly skilled Senior Machine Learning Engineer to design, build, deploy, and scale complex, production-grade machine learning solutions. This role focuses on developing self-running ML systems across areas such as computer vision, perception, localization, and real-time prediction systems. The candidate will own the complete ML lifecycle, from experimentation and model development to deployment, automation, and optimization using MLOps best practices.

Key Responsibilities:

  • Collaborate with business and technology stakeholders to understand current and future machine learning requirements
  • Design and develop machine learning models and algorithms to solve complex problems in structured and unstructured data environments
  • Build, maintain, and optimize scalable ML pipelines, architecture, and infrastructure
  • Apply statistical and machine learning techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning
  • Develop ML solutions for use cases including object detection, tracking, classification, perception, localization, AR/VR, and terrain mapping
  • Train, retrain, validate, and fine-tune ML models to ensure performance, accuracy, and robustness
  • Deploy ML models into production environments and run simulations to test multiple scenarios
  • Automate training, deployment, and retraining using CI/CD/CT pipelines and MLOps practices
  • Enable model versioning, traceability, monitoring, and governance across environments

Additional Responsibilities (Frontend & Integration Focus):

  • Design and integrate ML models into user-facing applications for real-time predictions
  • Develop workflows connecting frontend interfaces, backend services, and ML pipelines
  • Build APIs and data visualization layers to present ML outputs effectively
  • Debug and optimize performance across frontend, backend, and ML components

Skills Required:

  • Machine Learning and Artificial Intelligence
  • BigQuery or large-scale data processing platforms
  • Python for ML development

Preferred Skills:

  • Frontend frameworks such as React or Angular
  • Full Stack or Java-based application development

Experience Required:

  • 6+ years of overall IT experience
  • 4+ years of hands-on experience in machine learning or applied AI development
  • Strong coding experience in at least one primary language with exposure to multiple technologies

Education:

  • Bachelors Degree in Engineering or equivalent

TekWissen Group is an equal opportunity employer supporting workforce diversity.

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TekWissen

IT Services and IT Consulting

Ann Arbor MI

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