Job Title

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 planetJob Title: Machine Learning Engineering Senior EngineerLocation: ChennaiWork Type: HybridPosition 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 requirementsDesign and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environmentsDesign, build, maintain and optimize scalable ML pipelines, architecture and infrastructureUse 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 accuracyAdapt 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 requiredDeploy ML models and algorithms into production and run simulations for algorithm development and test various scenariosAutomate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOpsEnable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systemsSkills Required:Python, CI-CD, LLM, Deeplearning, API, AI/ML, ALGORITHMSSkills Preferred:Big Query,Experience Required:Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 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-makingDesign and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-makingApply 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 trendsDesign 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 automationResearch, 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 robustnessEducation Required:Bachelor's Degree, Master's DegreeEducation Preferred:Certification ProgramTekWissen® Group is an equal opportunity employer supporting workforce diversity.