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 solutions focused on foundation and large language models. You'll work closely with clients and teams to design and deliver cutting-edge AI solutions, driving innovation and client success. This role involves developing proofs of concept, staying updated with AI trends, and contributing to knowledge sharing within IBM.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- 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
- Help in showcasing 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
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
- Strong track record in scientific publications or open-source communities
⭐ 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
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
- Commitment to compliance with all fair employment practices regarding citizenship and immigration status
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)
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments (experience)
- Strong track record in scientific publications or open-source communities (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
- 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
- Help in showcasing 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
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
- general: Commitment to compliance with all fair employment practices regarding citizenship and immigration status
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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 solutions focused on foundation and large language models. You'll work closely with clients and teams to design and deliver cutting-edge AI solutions, driving innovation and client success. This role involves developing proofs of concept, staying updated with AI trends, and contributing to knowledge sharing within IBM.
📍 Location: BANGALORE, IN (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- 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
- Help in showcasing 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
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
- Strong track record in scientific publications or open-source communities
⭐ 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
- Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
- Commitment to compliance with all fair employment practices regarding citizenship and immigration status
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)
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments (experience)
- Strong track record in scientific publications or open-source communities (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
- 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
- Help in showcasing 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
- general: Equal-opportunity employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law
- general: Commitment to compliance with all fair employment practices regarding citizenship and immigration status
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