Job Description
Overview:
Tek Wissen 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 Engineer II
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:
Engineer II Exp.: Practitioner: 1 coding language or framework.
4+ years in IT;
3+ years in development
Experience Preferred:
CI/CD for ML (Git Hub Actions, Jenkins) Experience with cloud platforms: AWS/GCP/Azure with AI services (Sage Maker, 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 Po C 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:
Bachelor's Degree, Master's Degree
Education Preferred:
Certification Program
Tek Wissen® Group is an equal opportunity employer supporting workforce diversity.
Tek Wissen 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 Engineer II
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:
Engineer II Exp.: Practitioner: 1 coding language or framework.
4+ years in IT;
3+ years in development
Experience Preferred:
CI/CD for ML (Git Hub Actions, Jenkins) Experience with cloud platforms: AWS/GCP/Azure with AI services (Sage Maker, 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 Po C 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:
Bachelor's Degree, Master's Degree
Education Preferred:
Certification Program
Tek Wissen® Group is an equal opportunity employer supporting workforce diversity.
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