Intelligent Data Engineer and Researcher
5 days ago
We are seeking a highly skilled Intelligent Data Engineer and Researcher to join our team at ITC WORLDWIDE.
As an Intelligent Data Engineer and Researcher, you will play a critical role in developing and deploying machine learning models and algorithms to solve complex business problems and optimize processes. You will collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals.
You will conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training. You will select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable. You will train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning.
You will evaluate and validate models using appropriate metrics and statistical methods, and iteratively refine models based on feedback and insights. You will deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency. You will collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference.
The ideal candidate will have a strong background in computer science, data science, or a related field, with advanced degrees or certifications advantageous. You will have experience with programming languages such as Python, R, or Java, and familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
Strong understanding of machine learning algorithms, data preprocessing, feature engineering, and data visualization techniques is required. Experience with cloud platforms like AWS, Azure, or Google Cloud, and knowledge of deploying and managing machine learning models in cloud environments is a plus.
A bachelor's or higher degree in a STEM field is preferred, along with certifications in PL-400 and AZ900. Excellent problem-solving and analytical thinking skills, with the ability to understand complex business problems and develop innovative solutions. Effective communication and presentation skills to collaborate with cross-functional teams and present findings and insights to both technical and non-technical stakeholders.
Key Responsibilities:
- Develop and deploy machine learning models and algorithms
- Collaborate with cross-functional teams to understand requirements and define project goals
- Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering
- Select appropriate machine learning algorithms and techniques
- Train and fine-tune machine learning models using large-scale datasets
- Evaluate and validate models using appropriate metrics and statistical methods
- Deploy machine learning models into production environments
Required Skills and Qualifications:
- Data Engineering
- Data Science
- Machine Learning
- Artificial Intelligence (AI)
- Computer Science
- Computer Vision
- Keras
- Natural Language Processing (NLP)
- Pattern Recognition
- Scikit
Benefits:
- Competitive salary: $120,000 - $150,000 per year
- Health HMO
Location: ITC Offices
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