Python Data Scientist
IBM
Date: 6 hours ago
City: Quezon City
Contract type: Full time
Introduction
A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
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
Python Development, AI Knowledge (LLMs, Agent Creation, Model Comparison), Statistical Analysis, Data engineering
A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
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
Python Development, AI Knowledge (LLMs, Agent Creation, Model Comparison), Statistical Analysis, Data engineering
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