Job Title: Consultant Data Scientist Location: Sweden Experience: Minimum 6 years Technologies: Machine Learning MLOps Python Neural Networks NLP Computer Vision Model Deployment Kubernetes Data Analysis Generative AI
Role Overview A highly skilled Technology Lead Data Scientist with strong experience in designing developing and deploying advanced data science and machine learning solutions at scale. The role involves leading end-to-end AI/ML initiatives establishing robust MLOps practices and delivering productionready models that drive business outcomes. The ideal candidate will work closely with business stakeholders architects and crossfunctional teams to deliver highimpact analytics machine learning and AI solutions while providing technical leadership and mentoring within the data science team.
Key Responsibilities Machine Learning & Data Science
Design develop and optimize machine learning models for predictive modeling classification and forecasting use cases
Apply data analysis and data wrangling techniques to prepare highquality datasets from diverse data sources
Perform model evaluation validation and performance tuning to ensure accuracy reliability and scalability
Implement dimensionality reduction and feature engineering techniques as required
Neural Networks NLP & Computer Vision
Build and deploy neural network models using TensorFlow and Keras
Develop solutions leveraging Natural Language Processing (NLP) for text analysis extraction and understanding
Design and implement computer vision solutions using OpenCV for image and videobased use cases
MLOps & Model Deployment
Lead ML model deployment to production environments with proper versioning and model registry management
Implement and maintain MLOps pipelines for continuous training testing deployment and monitoring of models
Ensure reproducibility observability and lifecycle management of machine learning models
Cloud & Platform Engineering
Deploy and run machine learning workloads in containerized environments using Kubernetes
Ensure scalability performance and reliability of data science solutions in production
Collaborate with engineering teams to integrate ML solutions into enterprise systems
Generative & Advanced AI
Contribute to innovation initiatives involving Generative AI (GenAI) and Agentic AI
Explore and implement advanced AI techniques to enhance automation and intelligent decisionmaking
Leadership & Collaboration
Provide technical leadership code reviews and mentoring to junior data scientists
Participate in solution design architecture discussions and technical reviews
Collaborate with product owners business analysts and stakeholders to translate business requirements into AI/ML solutions
Support production issues model retraining and continuous improvement initiatives
Required Skills & Experience Minimum 6 years of handson experience in Data Science and Machine Learning Strong proficiency in Python Solid experience with Machine Learning algorithms and Predictive Modeling Handson experience with Neural Networks (TensorFlow Keras) Practical experience in MLOpsML model deployment and model registry concepts Strong background in data analysis data wrangling and model evaluation Experience with NLP and/or Computer Vision (OpenCV) Exposure to Kubernetes for deploying and managing ML workloads Good analytical problemsolving and communication skills Experience working in Agile/Scrum delivery environments
NicetoHave Skills
Handson exposure to Generative AI (GenAI) or Agentic AI solutions
Experience working with largescale datasets or big data environments
Prior experience in consulting or clientfacing roles
Qualifications & Certifications
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field
Preferred certifications in:
Data Science / Machine Learning
Cloud or AIrelated certifications
About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem. Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Required Experience:
Contract
Job Title: Consultant Data ScientistLocation: SwedenExperience: Minimum 6 yearsTechnologies: Machine Learning MLOps Python Neural Networks NLP Computer Vision Model Deployment Kubernetes Data Analysis Generative AIRole OverviewA highly skilled Technology Lead Data Scientist with strong experience ...
Job Title: Consultant Data Scientist Location: Sweden Experience: Minimum 6 years Technologies: Machine Learning MLOps Python Neural Networks NLP Computer Vision Model Deployment Kubernetes Data Analysis Generative AI
Role Overview A highly skilled Technology Lead Data Scientist with strong experience in designing developing and deploying advanced data science and machine learning solutions at scale. The role involves leading end-to-end AI/ML initiatives establishing robust MLOps practices and delivering productionready models that drive business outcomes. The ideal candidate will work closely with business stakeholders architects and crossfunctional teams to deliver highimpact analytics machine learning and AI solutions while providing technical leadership and mentoring within the data science team.
Key Responsibilities Machine Learning & Data Science
Design develop and optimize machine learning models for predictive modeling classification and forecasting use cases
Apply data analysis and data wrangling techniques to prepare highquality datasets from diverse data sources
Perform model evaluation validation and performance tuning to ensure accuracy reliability and scalability
Implement dimensionality reduction and feature engineering techniques as required
Neural Networks NLP & Computer Vision
Build and deploy neural network models using TensorFlow and Keras
Develop solutions leveraging Natural Language Processing (NLP) for text analysis extraction and understanding
Design and implement computer vision solutions using OpenCV for image and videobased use cases
MLOps & Model Deployment
Lead ML model deployment to production environments with proper versioning and model registry management
Implement and maintain MLOps pipelines for continuous training testing deployment and monitoring of models
Ensure reproducibility observability and lifecycle management of machine learning models
Cloud & Platform Engineering
Deploy and run machine learning workloads in containerized environments using Kubernetes
Ensure scalability performance and reliability of data science solutions in production
Collaborate with engineering teams to integrate ML solutions into enterprise systems
Generative & Advanced AI
Contribute to innovation initiatives involving Generative AI (GenAI) and Agentic AI
Explore and implement advanced AI techniques to enhance automation and intelligent decisionmaking
Leadership & Collaboration
Provide technical leadership code reviews and mentoring to junior data scientists
Participate in solution design architecture discussions and technical reviews
Collaborate with product owners business analysts and stakeholders to translate business requirements into AI/ML solutions
Support production issues model retraining and continuous improvement initiatives
Required Skills & Experience Minimum 6 years of handson experience in Data Science and Machine Learning Strong proficiency in Python Solid experience with Machine Learning algorithms and Predictive Modeling Handson experience with Neural Networks (TensorFlow Keras) Practical experience in MLOpsML model deployment and model registry concepts Strong background in data analysis data wrangling and model evaluation Experience with NLP and/or Computer Vision (OpenCV) Exposure to Kubernetes for deploying and managing ML workloads Good analytical problemsolving and communication skills Experience working in Agile/Scrum delivery environments
NicetoHave Skills
Handson exposure to Generative AI (GenAI) or Agentic AI solutions
Experience working with largescale datasets or big data environments
Prior experience in consulting or clientfacing roles
Qualifications & Certifications
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related field
Preferred certifications in:
Data Science / Machine Learning
Cloud or AIrelated certifications
About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem. Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Welcome to Infosys Careers for Experienced Professionals As a leading provider of next-generation consulting, technology and outsourcing solutions, we are dedicated to helping organizations in over 46 countries to renew their core and simultaneously innovate into new frontiers. Whilst
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