Machine Learning Engineering Senior Engineer

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 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 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-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 robustnessEducation Required:- Bachelor's Degree, Master's DegreeEducation Preferred:- Certification ProgramTekWissen® Group is an equal opportunity employer supporting workforce diversity.

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