Machine Learning Engineering Senior Engineer

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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: Machine Learning Engineering Senior Engineer

Location: Chennai

Work Type: Hybrid

Position Description:

Employees in this job function are responsible for designing building deploying and scaling complex self-running ML solutions in areas like computer vision perception localization etc.
They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies statistics and coding for tool building and analysis.

Key Responsibilities:

Collaborate with business and technology stakeholders to understand current and future ML requirements
Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
Design build maintain and optimize scalable ML pipelines architecture and infrastructure
Use machine language and statistical modeling techniques such as decision trees logistic regression Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance quality data management and accuracy
Adapt machine learning to areas such as virtual reality augmented reality object detection tracking classification terrain mapping and others.
Train and re-train ML models and systems as required
Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
Automate model deployment training and re-training leveraging principles of agile methodology CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems

Skills Required:

Python CI-CD LLM Deeplearning API AI/ML ALGORITHMS

Skills Preferred:

Big Query

Experience Required:

Senior Engineer Exp: 2 coding lang. or adv. 1 lang.; guides.
8 Years of Exp.

Experience Preferred:

CI/CD for ML (GitHub Actions Jenkins) Experience with cloud platforms: AWS/GCP/Azure with AI services (SageMaker Vertex AI Bedrock-nice to have)
Problem-Solving & Solution Ownership Able to identify the right ML approach (fine-tuning retrieval prompting multimodal pipeline).
Ability to break vague product problems into clear ML tasks. Skilled in PoC building quick prototyping and converting them into production systems.
Capability to estimate feasibility complexity cost and timelines of ML solutions.
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data leveraging data science methodologies including Machine Learning (ML) predictive modeling math statistics advanced analytics etc.

Key Responsibilities:

Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
Design and implement data analysis and ML models hypotheses algorithms and experiments to support data driven decision-making
Apply various analytics techniques like data mining predictive modeling prescriptive modeling math statistics advanced analytics machine learning models and algorithms etc.; to analyze data and uncover meaningful patterns relationships and trends
Design efficient data loading data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models including scalable models suitable for automation
Research study and stay updated in the domain of data science machine learning analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency accuracy and robustness

Education Required:

Bachelors Degree Masters Degree

Education Preferred:

Certification Program

TekWissen Group is an equal opportunity employer supporting workforce diversity.

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 th...

Overview:

Job Title: Machine Learning Engineering Senior Engineer

Location: Chennai

Work Type: Hybrid

Position Description:

Employees in this job function are responsible for designing building deploying and scaling complex self-running ML solutions in areas like computer vision perception localization etc.
They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies statistics and coding for tool building and analysis.

Key Responsibilities:

Collaborate with business and technology stakeholders to understand current and future ML requirements
Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
Design build maintain and optimize scalable ML pipelines architecture and infrastructure
Use machine language and statistical modeling techniques such as decision trees logistic regression Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance quality data management and accuracy
Adapt machine learning to areas such as virtual reality augmented reality object detection tracking classification terrain mapping and others.
Train and re-train ML models and systems as required
Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
Automate model deployment training and re-training leveraging principles of agile methodology CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems

Skills Required:

Python CI-CD LLM Deeplearning API AI/ML ALGORITHMS

Skills Preferred:

Big Query

Experience Required:

Senior Engineer Exp: 2 coding lang. or adv. 1 lang.; guides.
8 Years of Exp.

Experience Preferred:

CI/CD for ML (GitHub Actions Jenkins) Experience with cloud platforms: AWS/GCP/Azure with AI services (SageMaker Vertex AI Bedrock-nice to have)
Problem-Solving & Solution Ownership Able to identify the right ML approach (fine-tuning retrieval prompting multimodal pipeline).
Ability to break vague product problems into clear ML tasks. Skilled in PoC building quick prototyping and converting them into production systems.
Capability to estimate feasibility complexity cost and timelines of ML solutions.
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data leveraging data science methodologies including Machine Learning (ML) predictive modeling math statistics advanced analytics etc.

Key Responsibilities:

Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
Design and implement data analysis and ML models hypotheses algorithms and experiments to support data driven decision-making
Apply various analytics techniques like data mining predictive modeling prescriptive modeling math statistics advanced analytics machine learning models and algorithms etc.; to analyze data and uncover meaningful patterns relationships and trends
Design efficient data loading data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models including scalable models suitable for automation
Research study and stay updated in the domain of data science machine learning analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency accuracy and robustness

Education Required: