Software Engineer (ML/NLP & Python)

You will be joining a world-class team of skilled engineers at Gartner IT who are dedicated to building creative digital solutions to support colleagues and clients. The team values a culture of nonstop innovation, an outcome-driven approach to success, and believes that great ideas can come from anyone on the team. Role Overview: As a Software Development ML professional with experience in NLP, you will be responsible for the design, implementation, and support of Python-based applications to help fulfill Gartner's Research & Consulting Delivery strategy. Key Responsibilities: - Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services using ML and NLP. - Transform unstructured raw data into formats suitable for modeling. - Participate in architecture and technical design discussions to ensure NLP solutions align with the organization's strategic objectives. - Continuously improve NLP models through experimentation and optimization techniques. - Document detailed design specifications and review code commits to ensure compliance with established standards and best practices. Qualifications Required: - 2 4 years of experience in algorithms, statistics, data processing, machine learning, deep learning, and NLP. - Over 2 years of experience in Machine learning and NLP. - Advanced proficiency in Python programming. - Skilled in data cleaning and exploratory data analysis. - Strong understanding of algorithms, statistics, data mining, machine learning, and natural language processing. - Proficient in NLP, including transformers and generative AI technologies such as OpenAI, LLaMA3, etc. - Proficient in Python libraries such as Pandas and NumPy. - Familiarity with deep learning libraries including SpaCy, NLTK, TensorFlow, and Scikit-Learn. - Experience in deploying model serving APIs. - Experience with relational databases like Oracle, PostgreSQL, and MySQL. - Knowledge of graph databases. - Strong analytical, problem-solving, and debugging abilities. If you do not meet every single requirement, it is encouraged to apply anyway as you might be the right candidate for this or other roles at Gartner. If you are looking to grow your career with Gartner, you will have the opportunity to work in a world-class environment that values innovation, collaboration, and personal growth. Gartner is committed to providing equal employment opportunities and offers a supportive and inclusive work environment for all employees. You will be joining a world-class team of skilled engineers at Gartner IT who are dedicated to building creative digital solutions to support colleagues and clients. The team values a culture of nonstop innovation, an outcome-driven approach to success, and believes that great ideas can come from anyone on the team. Role Overview: As a Software Development ML professional with experience in NLP, you will be responsible for the design, implementation, and support of Python-based applications to help fulfill Gartner's Research & Consulting Delivery strategy. Key Responsibilities: - Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services using ML and NLP. - Transform unstructured raw data into formats suitable for modeling. - Participate in architecture and technical design discussions to ensure NLP solutions align with the organization's strategic objectives. - Continuously improve NLP models through experimentation and optimization techniques. - Document detailed design specifications and review code commits to ensure compliance with established standards and best practices. Qualifications Required: - 2 4 years of experience in algorithms, statistics, data processing, machine learning, deep learning, and NLP. - Over 2 years of experience in Machine learning and NLP. - Advanced proficiency in Python programming. - Skilled in data cleaning and exploratory data analysis. - Strong understanding of algorithms, statistics, data mining, machine learning, and natural language processing. - Proficient in NLP, including transformers and generative AI technologies such as OpenAI, LLaMA3, etc. - Proficient in Python libraries such as Pandas and NumPy. - Familiarity with deep learning libraries including SpaCy, NLTK, TensorFlow, and Scikit-Learn. - Experience in deploying model serving APIs. - Experience with relational databases like Oracle, PostgreSQL, and MySQL. - Knowledge of graph databases. - Strong analytical, problem-solving, and debugging abilities. If you do not meet every single requirement, it is encouraged to apply anyway as you might be the right candidate for this or other roles at Gartner. If you are looking to grow your career with Gartner, you will have the opportunity to work in a world-class environment that values innovation, collaboration, and personal growth. Gartner is committed to providing equal employment opport