Machine Learning Engineer / Data Scientist with R certification + PL-400 at ITC Worldwide

Job Title: Machine Learning Engineer / Data Scientist with R certification + PL-400

Responsibilities

• Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals.
• Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.
• Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.
• Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning.
• Evaluate and validate models using appropriate metrics and statistical methods, and iteratively refine models based on feedback and insights.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
• Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference.
• Continuously monitor and evaluate model performance and implement necessary updates or improvements.
• Stay up to date with the latest advancements in machine learning algorithms, techniques, and tools, and apply them to solve real-world problems.

Requirements

• Bachelor’s or Higher Degree in Computer Science, Data Science, or a related field.
• Advanced Degrees or relevant certifications are advantageous. Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark).Familiarity with software engineering best practices, including version control, testing, and code review.
• Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance.
• Excellent problem-solving and analytical thinking, with the ability to understand complex business problems and develop innovative solutions.
• Effective communication skills to collaborate with cross-functional teams and present findings and insights to both technical and non-technical stakeholders.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of deploying and managing machine learning models in cloud environments is a plus.
• This job description provides a general overview of the responsibilities and qualifications expected from a Machine Learning Engineer.
• The specific requirements and responsibilities may vary depending on the organization and the nature of the projects.

Required qualifications, capabilities, and skills:

• Data Engineering
• Data Science
• Machine Learning
• Artificial Intelligence (AI)
• Computer Science
• Computer Vision
• Keras
• Natural Language Processing (NLP)
• Pattern Recognition
• Scikit
• Experience with analytical techniques and tools
• Strong interpersonal and influencing skills and ability to interact with colleagues at all levels in a peer-like way, and achieve goals without direct control over resources
• Exceptional communication and presentation skills with the ability to clearly storyboard using tools like PowerPoint, etc. with experience designing and delivering target Operating models and processes
• Proficiency to identify issues and resolve them with a sense of urgency with great team player.
• Ability to define and drive a delivery roadmap inclusive of milestone deliveries and the associated status reporting
• Must be flexible and able to deal with multiple, changing priorities independently with minimal supervision and have the ability to inspire collaboration among teams composed of both technical and non-technical members, including working with multiple functions across regions and time differences.

Preferred qualifications, capabilities, and skills:

• Strategy experience with demonstrated strategic and commercial mindset, analytical abilities, and deep intellectual curiosity, and strong end-to-end generalist problem solving skills, e.g., Defining and deconstructing problems; prioritizing issues, analysis, and team capacity; structuring and building quantitative and qualitative/conceptual analyses; applying strong business judgment to surface implications and practical, high impact options; analyzing operational and financial data; performing competitor/industry research leveraging both public and non-public sources; participating in and independently conducting internal and external interviews; working collaboratively with team members across LOBs and staff areas; identifying implications and so whats of data and analysis with the team
• Product experience with user research, problem identification, value proposition and solution design, and collaboration with technology partners for enablement / deployment
• Familiarity with LLMs, AI/ML/ Phi-3 and/ or technology management processes, and/or experience working with innovative technologies, such as AI, Cloud services and Digital Products
• Coding experience with Python-R
• Degree in STEM field preferred.

Certifications:

• Data Scientist with R certification
• PL-400
• AZ900.

Application Instructions:

The application deadline is Not Specified. Therefore, qualified and interested candidates can “CLICK HERE TO SUBMIT APPLICATION.” It is important to visit the official website (link found below) for detailed information on how to apply successfully for this vacancy.

Official Website: https://www.careers-page.com/itc-worldwide-info