Job Description
**Introduction**
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
A Data Scientist with expertise in Artificial Intelligence is a professional who skillfully combines data analysis and business acumen to tackle cognitive computing challenges. They are proficient in advanced analytics techniques for structured data and have a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content. They are specialized in foundation models and large language models and skilled in architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models; along with Experience in tools like Github Copilot, Amazon Code Whisperer. This expertise enables them to create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing. They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services. They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery). They have experience in full AI project lifecycle, from research and prototyping to deployment in production environments
**Required technical and professional expertise**
Responsibilities: Design, build, and deploy systems
More than 5 years of exterience as Data Scientist-Artificial Intelligence.
**Preferred technical and professional experience**
Skills: Scikit-learn, TensorFlow, Azure ML, Langchain, Javascript
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
A Data Scientist with expertise in Artificial Intelligence is a professional who skillfully combines data analysis and business acumen to tackle cognitive computing challenges. They are proficient in advanced analytics techniques for structured data and have a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content. They are specialized in foundation models and large language models and skilled in architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models; along with Experience in tools like Github Copilot, Amazon Code Whisperer. This expertise enables them to create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing. They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services. They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery). They have experience in full AI project lifecycle, from research and prototyping to deployment in production environments
**Required technical and professional expertise**
Responsibilities: Design, build, and deploy systems
More than 5 years of exterience as Data Scientist-Artificial Intelligence.
**Preferred technical and professional experience**
Skills: Scikit-learn, TensorFlow, Azure ML, Langchain, Javascript
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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