Data Scientist/AI Engineer
IBM
Data Scientist/AI Engineer
Job Description
Data Scientist/AI Engineer
📋 Job Overview
As a Data Scientist/AI Engineer at IBM, you will work in IBM Consulting Client Innovation Centers to deliver technical expertise to clients globally. Your role involves solving business problems using Python and IBM's AI tools, focusing on data analysis, trend prediction, and providing actionable insights to stakeholders.
📍 Location: Vilnius, LT (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Solve business problems using Python, combined with IBM tools and AI application suites
- Prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders
✅ Required Qualifications
- Education in a quantitative field such as Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
- Well versed/good understanding of Python programming language
⭐ Preferred Qualifications
- Experience with Docker and Kubernetes
🛠️ Required Skills
- Good interpersonal, communication, and customer relationship skills
- Experience of applying advanced analytics and predictive modelling techniques
- Experience of working within an Agile environment
- Experience with LLM's, vectorDB's
- Experience with Azure, AWS, GCP, or IBM cloud platforms
- Experience with models from Hugging Face, Ollama, FastAPI, Transformers, Pydantic
- Experience with Langchain and/or Agentic frameworks
- Ollama
- Pandas
- Scikit-learn
- Matplotlib
- Github
- TensorFlow
- Flask
- Langchain
- ChromaDB
🎁 Benefits & Perks
- Flexible working pattern
- Continuous learning and career development
- Environment that embraces unique skills and experience
- Equal-opportunity employment
Locations
- Vilnius, LT, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Good interpersonal, communication, and customer relationship skillsintermediate
- Experience of applying advanced analytics and predictive modelling techniquesintermediate
- Experience of working within an Agile environmentintermediate
- Experience with LLM's, vectorDB'sintermediate
- Experience with Azure, AWS, GCP, or IBM cloud platformsintermediate
- Experience with models from Hugging Face, Ollama, FastAPI, Transformers, Pydanticintermediate
- Experience with Langchain and/or Agentic frameworksintermediate
- Ollamaintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Matplotlibintermediate
- Githubintermediate
- TensorFlowintermediate
- Flaskintermediate
- Langchainintermediate
- ChromaDBintermediate
Required Qualifications
- Education in a quantitative field such as Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics (experience)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering (experience)
- High level of comfort with various data types and structures: structured versus unstructured data (experience)
- Experience in data cleaning, validation, integration (experience)
- Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc. (experience)
- Well versed/good understanding of Python programming language (experience)
Preferred Qualifications
- Experience with Docker and Kubernetes (experience)
Responsibilities
- Solve business problems using Python, combined with IBM tools and AI application suites
- Prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders
Benefits
- general: Flexible working pattern
- general: Continuous learning and career development
- general: Environment that embraces unique skills and experience
- general: Equal-opportunity employment
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Answer 10 quick questions to check your fit for Data Scientist/AI Engineer @ IBM.
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Data Scientist/AI Engineer
IBM
Data Scientist/AI Engineer
Job Description
Data Scientist/AI Engineer
📋 Job Overview
As a Data Scientist/AI Engineer at IBM, you will work in IBM Consulting Client Innovation Centers to deliver technical expertise to clients globally. Your role involves solving business problems using Python and IBM's AI tools, focusing on data analysis, trend prediction, and providing actionable insights to stakeholders.
📍 Location: Vilnius, LT (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Solve business problems using Python, combined with IBM tools and AI application suites
- Prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders
✅ Required Qualifications
- Education in a quantitative field such as Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc.
- Well versed/good understanding of Python programming language
⭐ Preferred Qualifications
- Experience with Docker and Kubernetes
🛠️ Required Skills
- Good interpersonal, communication, and customer relationship skills
- Experience of applying advanced analytics and predictive modelling techniques
- Experience of working within an Agile environment
- Experience with LLM's, vectorDB's
- Experience with Azure, AWS, GCP, or IBM cloud platforms
- Experience with models from Hugging Face, Ollama, FastAPI, Transformers, Pydantic
- Experience with Langchain and/or Agentic frameworks
- Ollama
- Pandas
- Scikit-learn
- Matplotlib
- Github
- TensorFlow
- Flask
- Langchain
- ChromaDB
🎁 Benefits & Perks
- Flexible working pattern
- Continuous learning and career development
- Environment that embraces unique skills and experience
- Equal-opportunity employment
Locations
- Vilnius, LT, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Good interpersonal, communication, and customer relationship skillsintermediate
- Experience of applying advanced analytics and predictive modelling techniquesintermediate
- Experience of working within an Agile environmentintermediate
- Experience with LLM's, vectorDB'sintermediate
- Experience with Azure, AWS, GCP, or IBM cloud platformsintermediate
- Experience with models from Hugging Face, Ollama, FastAPI, Transformers, Pydanticintermediate
- Experience with Langchain and/or Agentic frameworksintermediate
- Ollamaintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Matplotlibintermediate
- Githubintermediate
- TensorFlowintermediate
- Flaskintermediate
- Langchainintermediate
- ChromaDBintermediate
Required Qualifications
- Education in a quantitative field such as Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics (experience)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering (experience)
- High level of comfort with various data types and structures: structured versus unstructured data (experience)
- Experience in data cleaning, validation, integration (experience)
- Strong understanding of multivariate statistical and machine learning algorithms, such as principal component analysis, neural networks, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression tree, etc. (experience)
- Well versed/good understanding of Python programming language (experience)
Preferred Qualifications
- Experience with Docker and Kubernetes (experience)
Responsibilities
- Solve business problems using Python, combined with IBM tools and AI application suites
- Prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders
Benefits
- general: Flexible working pattern
- general: Continuous learning and career development
- general: Environment that embraces unique skills and experience
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist/AI Engineer @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs