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Infosys

Data Scientist| AI,ML| Dublin, Ireland

Infosys
Ireland · Full-time · Entry

Job Description

Role: Senior Consultant

Location: Dublin, Ireland

Business Unit: ADM

Job Description

Infosys is seeking a consultant with Data science (AI, ML) experience and knowledge of Manufacturing Domain and Facilities Management. As a Data Scientist, you should have extensive experience in utilizing AI/ML for doing Statistical analysis, prepare data models after articulating the approach/methodology, identify metrics for model accuracy, quality and data sufficiency. Ability to highlight the Data issues and monitor the Data quality in the models. Should have good data analytical skills and experienced in tools that helps with the domain processes (like control systems, SCADA) and data analytics).

Key Responsibilities

  • Using problem-solving mindset to understand business challenges and how to apply AI expertise to solve them.
  • Innovation and creativity in data analysis, problem solving and presentation of solutions.
  • Collaborate with engineering team to bring analytical prototypes to production.
  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing.
  • Design accurate and scalable AI solutions.
  • Use-case derivation and solution creation from structured/unstructured data.
  • Storytelling, Business & stakeholder communication and Documentation.

Required Qualifications

A suitable candidate must be ready to work predominantly from the office in Dublin, Ireland.

  • Proven experience as a Data Scientist, with a strong track record of developing and deploying successful AI/ML models and experience with applying the same to produce high visibility AI solutions / products.
  • A strong understanding of data analytics best practices, standards, and guidelines;
  • Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their applications.
  • Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms.
  • Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
  • Experience with cloud computing platforms (e.g., : Azure, GCP, Databricks, Docker, AzureML, Git)
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus
  • Experience in Gen AI Technologies like Generative AI: NLP / others

Preferred Skills

Domain : Manufacturing (preferably Semi-conductor aligned), Facilities Management

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through 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.

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

Key Skills

Ranked by relevance

ai machine learning deep learning data analysis prototypes tensorflow big data pytorch python docker pandas hadoop cloud numpy spark gcp
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Posted
Feb 05, 2025
Type
Full-time
Level
Entry
Location
Dublin
Company
Infosys

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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