Beskrivning
Job Title: Consultant/Senior 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 production‑ready models that drive business outcomes.
The ideal candidate will work closely with business stakeholders, architects, and cross‑functional teams to deliver high‑impact 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 high‑quality 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 video‑based 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 decision‑making
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 hands‑on experience in Data Science and Machine Learning
• Strong proficiency in Python
• Solid experience with Machine Learning algorithms and Predictive Modeling
• Hands‑on experience with Neural Networks (TensorFlow, Keras)
• Practical experience in MLOps, ML 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, problem‑solving, and communication skills
• Experience working in Agile/Scrum delivery environments
Nice‑to‑Have Skills
• Hands‑on exposure to Generative AI (GenAI) or Agentic AI solutions
• Experience working with large‑scale datasets or big data environments
• Prior experience in consulting or client‑facing roles
Qualifications & Certifications
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field
• Preferred certifications in:
o Data Science / Machine Learning
o Cloud or AI‑related 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 www.infosys.com 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
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 production‑ready models that drive business outcomes.
The ideal candidate will work closely with business stakeholders, architects, and cross‑functional teams to deliver high‑impact 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 high‑quality 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 video‑based 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 decision‑making
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 hands‑on experience in Data Science and Machine Learning
• Strong proficiency in Python
• Solid experience with Machine Learning algorithms and Predictive Modeling
• Hands‑on experience with Neural Networks (TensorFlow, Keras)
• Practical experience in MLOps, ML 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, problem‑solving, and communication skills
• Experience working in Agile/Scrum delivery environments
Nice‑to‑Have Skills
• Hands‑on exposure to Generative AI (GenAI) or Agentic AI solutions
• Experience working with large‑scale datasets or big data environments
• Prior experience in consulting or client‑facing roles
Qualifications & Certifications
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field
• Preferred certifications in:
o Data Science / Machine Learning
o Cloud or AI‑related 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 www.infosys.com 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
