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

ITC Worldwide offers Microsoft Experienced & Certified comprehensive technical and functional support Services for all Microsoft enterprise technologies, including Microsoft Dynamics 365, Microsoft Azure, and Microsoft 365 across the cloud, hybrid, and on-premises. Includes around the clock problem resolution, proactive advisory services, onsite support, and add-on services to customize your support experience.

They are recruiting to fill the position below:

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

Location: Abuja (FCT)
Employment Type: Full-time

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 Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online