Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
As an AI Data Scientist at IBM, you will leverage platforms like watsonx, AWS Sagemaker, and Azure Open AI to co-create AI value with clients, focusing on foundation models and large language models. You will architect and deliver AI solutions, develop proofs of concept, and stay updated with the latest AI trends to drive innovation and client success.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Architect and deliver AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Develop Proofs of Concept (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions
- Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations
- Showcase the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/POC
- Document solution architectures, design decisions, implementation details, and lessons learned
- Create technical documentation, white papers, and best practice guides
- Contribute to internal knowledge sharing initiatives and mentor new team members
- Stay up to date with the latest trends and advancements in AI, foundation models, and large language models
- Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
✅ Required Qualifications
- Proven experience in designing and delivering AI solutions, with a focus on foundation models and large language models
- Experience in natural language processing (NLP) and text analytics
- Understanding of machine learning and deep learning algorithms
- Strong programming skills, with proficiency in Python
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib
- Strong track record in scientific publications or open-source communities
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
⭐ Preferred Qualifications
- Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and related services
- Experience and working knowledge in COBOL & JAVA
- Experience in Code generation, code matching & code translation leveraging LLM capabilities (e.g., Amazon Code Whisperer, Github Copilot)
- Experience in Python and PySpark
🛠️ Required Skills
- Python
- TensorFlow
- PyTorch
- Keras
- Hugging Face
- SciKit Learn
- Pandas
- Matplotlib
- Kubernetes
- AWS
- Azure
- GCP
- COBOL
- JAVA
- Amazon Code Whisperer
- Github Copilot
- PySpark
- watsonx
- AWS Sagemaker
- Azure Open AI
- Excellent interpersonal and communication skills
- Commitment to continuous learning
- Growth mindset
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback, and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative team-focused approach to drive exceptional outcomes for customers
Locations
- BANGALORE, IN, 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
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Kerasintermediate
- Hugging Faceintermediate
- SciKit Learnintermediate
- Pandasintermediate
- Matplotlibintermediate
- Kubernetesintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- COBOLintermediate
- JAVAintermediate
- Amazon Code Whispererintermediate
- Github Copilotintermediate
- PySparkintermediate
- watsonxintermediate
- AWS Sagemakerintermediate
- Azure Open AIintermediate
- Excellent interpersonal and communication skillsintermediate
- Commitment to continuous learningintermediate
- Growth mindsetintermediate
Required Qualifications
- Proven experience in designing and delivering AI solutions, with a focus on foundation models and large language models (experience)
- Experience in natural language processing (NLP) and text analytics (experience)
- Understanding of machine learning and deep learning algorithms (experience)
- Strong programming skills, with proficiency in Python (experience)
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face (experience)
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib (experience)
- Strong track record in scientific publications or open-source communities (experience)
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments (experience)
Preferred Qualifications
- Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and related services (experience)
- Experience and working knowledge in COBOL & JAVA (experience)
- Experience in Code generation, code matching & code translation leveraging LLM capabilities (e.g., Amazon Code Whisperer, Github Copilot) (experience)
- Experience in Python and PySpark (experience)
Responsibilities
- Architect and deliver AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Develop Proofs of Concept (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions
- Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations
- Showcase the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/POC
- Document solution architectures, design decisions, implementation details, and lessons learned
- Create technical documentation, white papers, and best practice guides
- Contribute to internal knowledge sharing initiatives and mentor new team members
- Stay up to date with the latest trends and advancements in AI, foundation models, and large language models
- Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback, and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative team-focused approach to drive exceptional outcomes for customers
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Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
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Data Scientist-Artificial Intelligence
IBM
Data Scientist-Artificial Intelligence
Job Description
Data Scientist-Artificial Intelligence
📋 Job Overview
As an AI Data Scientist at IBM, you will leverage platforms like watsonx, AWS Sagemaker, and Azure Open AI to co-create AI value with clients, focusing on foundation models and large language models. You will architect and deliver AI solutions, develop proofs of concept, and stay updated with the latest AI trends to drive innovation and client success.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Architect and deliver AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Develop Proofs of Concept (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions
- Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations
- Showcase the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/POC
- Document solution architectures, design decisions, implementation details, and lessons learned
- Create technical documentation, white papers, and best practice guides
- Contribute to internal knowledge sharing initiatives and mentor new team members
- Stay up to date with the latest trends and advancements in AI, foundation models, and large language models
- Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
✅ Required Qualifications
- Proven experience in designing and delivering AI solutions, with a focus on foundation models and large language models
- Experience in natural language processing (NLP) and text analytics
- Understanding of machine learning and deep learning algorithms
- Strong programming skills, with proficiency in Python
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib
- Strong track record in scientific publications or open-source communities
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
⭐ Preferred Qualifications
- Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and related services
- Experience and working knowledge in COBOL & JAVA
- Experience in Code generation, code matching & code translation leveraging LLM capabilities (e.g., Amazon Code Whisperer, Github Copilot)
- Experience in Python and PySpark
🛠️ Required Skills
- Python
- TensorFlow
- PyTorch
- Keras
- Hugging Face
- SciKit Learn
- Pandas
- Matplotlib
- Kubernetes
- AWS
- Azure
- GCP
- COBOL
- JAVA
- Amazon Code Whisperer
- Github Copilot
- PySpark
- watsonx
- AWS Sagemaker
- Azure Open AI
- Excellent interpersonal and communication skills
- Commitment to continuous learning
- Growth mindset
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback, and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative team-focused approach to drive exceptional outcomes for customers
Locations
- BANGALORE, IN, 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
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Kerasintermediate
- Hugging Faceintermediate
- SciKit Learnintermediate
- Pandasintermediate
- Matplotlibintermediate
- Kubernetesintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- COBOLintermediate
- JAVAintermediate
- Amazon Code Whispererintermediate
- Github Copilotintermediate
- PySparkintermediate
- watsonxintermediate
- AWS Sagemakerintermediate
- Azure Open AIintermediate
- Excellent interpersonal and communication skillsintermediate
- Commitment to continuous learningintermediate
- Growth mindsetintermediate
Required Qualifications
- Proven experience in designing and delivering AI solutions, with a focus on foundation models and large language models (experience)
- Experience in natural language processing (NLP) and text analytics (experience)
- Understanding of machine learning and deep learning algorithms (experience)
- Strong programming skills, with proficiency in Python (experience)
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face (experience)
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib (experience)
- Strong track record in scientific publications or open-source communities (experience)
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments (experience)
Preferred Qualifications
- Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and related services (experience)
- Experience and working knowledge in COBOL & JAVA (experience)
- Experience in Code generation, code matching & code translation leveraging LLM capabilities (e.g., Amazon Code Whisperer, Github Copilot) (experience)
- Experience in Python and PySpark (experience)
Responsibilities
- Architect and deliver AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Develop Proofs of Concept (POCs) to validate and showcase the feasibility and effectiveness of proposed AI solutions
- Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations
- Showcase the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/POC
- Document solution architectures, design decisions, implementation details, and lessons learned
- Create technical documentation, white papers, and best practice guides
- Contribute to internal knowledge sharing initiatives and mentor new team members
- Stay up to date with the latest trends and advancements in AI, foundation models, and large language models
- Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback, and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative team-focused approach to drive exceptional outcomes for customers
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist-Artificial Intelligence @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs