Data Scientist
IBM
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at IBM, you will lead the development and implementation of advanced AI-driven solutions using IBM's WatsonX and pretrained models like Granite, Mistral, and Llama 3. You will work in IBM Consulting Client Innovation Centers, collaborating with various stakeholders to deliver innovative solutions to clients globally. This role requires overseeing the entire development lifecycle of generative AI solutions and ensuring high-quality delivery.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Oversee the end-to-end development lifecycle of generative AI-based solutions, ensuring timely and high-quality delivery
- Write, review, and optimize code for AI models, APIs, user interfaces, and backend services using best practices
- Provide technical direction and mentorship to the development team, fostering a culture of continuous improvement and innovation
- Work closely with the Solution Architect to translate architectural designs into functional software components
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 within the watsonx framework
- Leverage IBM’s watsonx platform to enhance generative AI capabilities, ensuring optimal performance and scalability
- Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native services for compute, storage, networking, and AI-specific offerings
- Collaborate with data scientists, UX/UI designers, product managers, and other stakeholders to integrate AI components seamlessly into the overall solution
- Communicate progress, challenges, and technical decisions effectively to both technical and non-technical stakeholders
- Participate in Agile/Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous delivery
- Ensure high standards of code quality through regular code reviews, automated testing, and adherence to coding standards
- Develop and implement comprehensive testing strategies, including unit, integration, and system testing to ensure robust and reliable solutions
- Optimize AI models and applications for performance, scalability, and cost-efficiency on IBM Cloud
- Keep abreast of the latest advancements in generative AI, IBM Cloud services, and relevant technologies to continuously enhance the solutions
- Identify and implement improvements in development processes, tools, and methodologies to increase team efficiency and product quality
- Maintain comprehensive technical documentation, including code documentation, API specifications, and deployment guides
- Implement security best practices in the development lifecycle, ensuring that solutions comply with IBM’s security policies and industry standards
- Ensure that data handling within AI solutions adheres to data privacy regulations and best practices
✅ Required Qualifications
- Minimum 5+ years in software development, with significant experience in leading development teams
- Proven experience in developing and deploying AI/ML solutions, particularly generative AI models
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure
🛠️ Required Skills
- Python
- Java
- JavaScript
- TensorFlow
- PyTorch
- IBM Cloud services
- CI/CD pipelines
- Git
- Docker
- Kubernetes
- RESTful API design
- SQL
- NoSQL
- Cloud security best practices
- Data encryption
- Compliance standards
- Leadership and mentorship
- Communication skills
- Analytical and problem-solving abilities
- Collaboration
- Organizational skills
- Attention to detail
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Multiple Locations, 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
- Javaintermediate
- JavaScriptintermediate
- TensorFlowintermediate
- PyTorchintermediate
- IBM Cloud servicesintermediate
- CI/CD pipelinesintermediate
- Gitintermediate
- Dockerintermediate
- Kubernetesintermediate
- RESTful API designintermediate
- SQLintermediate
- NoSQLintermediate
- Cloud security best practicesintermediate
- Data encryptionintermediate
- Compliance standardsintermediate
- Leadership and mentorshipintermediate
- Communication skillsintermediate
- Analytical and problem-solving abilitiesintermediate
- Collaborationintermediate
- Organizational skillsintermediate
- Attention to detailintermediate
Required Qualifications
- Minimum 5+ years in software development, with significant experience in leading development teams (experience)
- Proven experience in developing and deploying AI/ML solutions, particularly generative AI models (experience)
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure (experience)
Responsibilities
- Oversee the end-to-end development lifecycle of generative AI-based solutions, ensuring timely and high-quality delivery
- Write, review, and optimize code for AI models, APIs, user interfaces, and backend services using best practices
- Provide technical direction and mentorship to the development team, fostering a culture of continuous improvement and innovation
- Work closely with the Solution Architect to translate architectural designs into functional software components
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 within the watsonx framework
- Leverage IBM’s watsonx platform to enhance generative AI capabilities, ensuring optimal performance and scalability
- Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native services for compute, storage, networking, and AI-specific offerings
- Collaborate with data scientists, UX/UI designers, product managers, and other stakeholders to integrate AI components seamlessly into the overall solution
- Communicate progress, challenges, and technical decisions effectively to both technical and non-technical stakeholders
- Participate in Agile/Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous delivery
- Ensure high standards of code quality through regular code reviews, automated testing, and adherence to coding standards
- Develop and implement comprehensive testing strategies, including unit, integration, and system testing to ensure robust and reliable solutions
- Optimize AI models and applications for performance, scalability, and cost-efficiency on IBM Cloud
- Keep abreast of the latest advancements in generative AI, IBM Cloud services, and relevant technologies to continuously enhance the solutions
- Identify and implement improvements in development processes, tools, and methodologies to increase team efficiency and product quality
- Maintain comprehensive technical documentation, including code documentation, API specifications, and deployment guides
- Implement security best practices in the development lifecycle, ensuring that solutions comply with IBM’s security policies and industry standards
- Ensure that data handling within AI solutions adheres to data privacy regulations and best practices
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
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Data Scientist
IBM
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at IBM, you will lead the development and implementation of advanced AI-driven solutions using IBM's WatsonX and pretrained models like Granite, Mistral, and Llama 3. You will work in IBM Consulting Client Innovation Centers, collaborating with various stakeholders to deliver innovative solutions to clients globally. This role requires overseeing the entire development lifecycle of generative AI solutions and ensuring high-quality delivery.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Oversee the end-to-end development lifecycle of generative AI-based solutions, ensuring timely and high-quality delivery
- Write, review, and optimize code for AI models, APIs, user interfaces, and backend services using best practices
- Provide technical direction and mentorship to the development team, fostering a culture of continuous improvement and innovation
- Work closely with the Solution Architect to translate architectural designs into functional software components
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 within the watsonx framework
- Leverage IBM’s watsonx platform to enhance generative AI capabilities, ensuring optimal performance and scalability
- Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native services for compute, storage, networking, and AI-specific offerings
- Collaborate with data scientists, UX/UI designers, product managers, and other stakeholders to integrate AI components seamlessly into the overall solution
- Communicate progress, challenges, and technical decisions effectively to both technical and non-technical stakeholders
- Participate in Agile/Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous delivery
- Ensure high standards of code quality through regular code reviews, automated testing, and adherence to coding standards
- Develop and implement comprehensive testing strategies, including unit, integration, and system testing to ensure robust and reliable solutions
- Optimize AI models and applications for performance, scalability, and cost-efficiency on IBM Cloud
- Keep abreast of the latest advancements in generative AI, IBM Cloud services, and relevant technologies to continuously enhance the solutions
- Identify and implement improvements in development processes, tools, and methodologies to increase team efficiency and product quality
- Maintain comprehensive technical documentation, including code documentation, API specifications, and deployment guides
- Implement security best practices in the development lifecycle, ensuring that solutions comply with IBM’s security policies and industry standards
- Ensure that data handling within AI solutions adheres to data privacy regulations and best practices
✅ Required Qualifications
- Minimum 5+ years in software development, with significant experience in leading development teams
- Proven experience in developing and deploying AI/ML solutions, particularly generative AI models
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure
🛠️ Required Skills
- Python
- Java
- JavaScript
- TensorFlow
- PyTorch
- IBM Cloud services
- CI/CD pipelines
- Git
- Docker
- Kubernetes
- RESTful API design
- SQL
- NoSQL
- Cloud security best practices
- Data encryption
- Compliance standards
- Leadership and mentorship
- Communication skills
- Analytical and problem-solving abilities
- Collaboration
- Organizational skills
- Attention to detail
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Multiple Locations, 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
- Javaintermediate
- JavaScriptintermediate
- TensorFlowintermediate
- PyTorchintermediate
- IBM Cloud servicesintermediate
- CI/CD pipelinesintermediate
- Gitintermediate
- Dockerintermediate
- Kubernetesintermediate
- RESTful API designintermediate
- SQLintermediate
- NoSQLintermediate
- Cloud security best practicesintermediate
- Data encryptionintermediate
- Compliance standardsintermediate
- Leadership and mentorshipintermediate
- Communication skillsintermediate
- Analytical and problem-solving abilitiesintermediate
- Collaborationintermediate
- Organizational skillsintermediate
- Attention to detailintermediate
Required Qualifications
- Minimum 5+ years in software development, with significant experience in leading development teams (experience)
- Proven experience in developing and deploying AI/ML solutions, particularly generative AI models (experience)
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure (experience)
Responsibilities
- Oversee the end-to-end development lifecycle of generative AI-based solutions, ensuring timely and high-quality delivery
- Write, review, and optimize code for AI models, APIs, user interfaces, and backend services using best practices
- Provide technical direction and mentorship to the development team, fostering a culture of continuous improvement and innovation
- Work closely with the Solution Architect to translate architectural designs into functional software components
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 within the watsonx framework
- Leverage IBM’s watsonx platform to enhance generative AI capabilities, ensuring optimal performance and scalability
- Develop and deploy AI solutions on IBM Cloud, utilizing cloud-native services for compute, storage, networking, and AI-specific offerings
- Collaborate with data scientists, UX/UI designers, product managers, and other stakeholders to integrate AI components seamlessly into the overall solution
- Communicate progress, challenges, and technical decisions effectively to both technical and non-technical stakeholders
- Participate in Agile/Scrum ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives to ensure project alignment and continuous delivery
- Ensure high standards of code quality through regular code reviews, automated testing, and adherence to coding standards
- Develop and implement comprehensive testing strategies, including unit, integration, and system testing to ensure robust and reliable solutions
- Optimize AI models and applications for performance, scalability, and cost-efficiency on IBM Cloud
- Keep abreast of the latest advancements in generative AI, IBM Cloud services, and relevant technologies to continuously enhance the solutions
- Identify and implement improvements in development processes, tools, and methodologies to increase team efficiency and product quality
- Maintain comprehensive technical documentation, including code documentation, API specifications, and deployment guides
- Implement security best practices in the development lifecycle, ensuring that solutions comply with IBM’s security policies and industry standards
- Ensure that data handling within AI solutions adheres to data privacy regulations and best practices
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs