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[Remote] Data & AI Consultant
at
Infosys
Poland
Apply Now
Not Specified
Compensation
Junior (1 to 2 years), Senior (5 to 8 years)
Experience Level
Full Time
Job Type
Unknown
Visa
Technology, Consulting
Industries
Requirements
3–10+ years’ experience in relevant data/AI roles (varies by role and level)
Strong coding skills (e.g., Python, SQL)
Cloud fluency (Azure, AWS, or GCP)
Hands-on exposure to modern tools (e.g., Spark, Databricks, Airflow, TensorFlow)
Proven experience building ML/AI models, including LLMs and Gen AI solutions (for Data Scientists & AI Specialists)
Strong statistical foundations and ability to translate business problems into data science hypotheses (for Data Scientists & AI Specialists)
Deep knowledge of transformer architectures, diffusion models, and fine-tuning LLMs (for Generative AI Specialists)
Ability to lead GenAI use case discovery, design experiments, and prototype rapidly (for Generative AI Specialists)
Skilled in building robust, scalable data pipelines across cloud and hybrid platforms (for Data Engineers)
Experience with modern data stacks: Spark, Databricks, Python/Scala, SQL, Delta Lake, Airflow (for Data Engineers)
Exposure to containerization (Docker, Kubernetes) and orchestration workflows (for Data Engineers)
Experience in modern data architecture design (lakehouse, mesh, medallion model) (for Data Architects)
Expertise in Azure, AWS, or GCP, and familiarity with MDM, metadata, lineage tools (for Data Architects)
Strong understanding of industry-specific data challenges (e.g., retail, energy, finance) (for Data SMEs & Analytics Consultants)
Proficient in dashboarding (Power BI, Tableau), hypothesis-led analysis, and stakeholder engagement (for Data SMEs & Analytics Consultants)
Responsibilities
Design and implement AI/ML models, including GenAI-based use cases
Build and manage scalable data pipelines and engineering workflows
Architect enterprise-grade data platforms and guide data strategy for clients
Deliver insights through advanced analytics, dashboards, and storytelling
Support data governance, metadata, and master data design
Collaborate with cross-functional teams to shape new offerings and reimagine business processes through data
Skills
Data Science
Machine Learning
AI Models
LLMs
Generative AI
Statistics
Data Strategy
Data Governance
Data Engineering
Analytics
Decision Intelligence
Infosys
Global consulting & IT services
Website
About Infosys
N/A
Headquarters
1981
Year Founded
N/A
Company Stage
10,001+
Employees
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