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Machine Learning Engineer
3 months ago
Job Title: Machine Learning Engineer
Location: Houston, Texas
Requirements: On-site Monday-Friday, with 1/2-day Fridays
Summary:
Our client, a leading oil and gas company, is looking for a Machine Learning Engineer to join their team. They offer midstream energy services for natural gas, liquids, crude oil, and petrochemicals.
Responsibilities:
- Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems and enhance business processes.
- Design, develop, and implement machine learning models and algorithms to analyze large datasets, extract meaningful patterns, and generate predictive insights.
- Conduct exploratory data analysis to understand data characteristics, identify relevant features, and preprocess data for model training.
- Experiment with various machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods.
- Build scalable and efficient data pipelines and infrastructure to support model training, evaluation, and deployment in production environments.
- Optimize machine learning models for performance, scalability, and interpretability, and iterate on improvements based on feedback and evaluation metrics.
Qualifications:
- Strong foundation in machine learning, statistics, and data analysis, with practical experience developing and deploying machine learning models.
- Data Modeling and Architecture: Strong experience in designing and implementing data models
- Strong programming skills in Python, R, or Java
- Machine Learning Frameworks: Familiarity with libraries like TensorFlow, Keras, PyTorch, and scikit-learn.
- Solid understanding of data structures, algorithms, and software engineering principles, with the ability to write clean, efficient, and maintainable code.
- Excellent problem-solving skills, with the ability to analyze complex data, identify patterns, and develop innovative solutions to challenging problems.
- Effective communication and collaboration skills, with the ability to work closely with team members, stakeholders, and domain experts to understand requirements and deliver impactful solutions.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience deploying machine learning solutions on cloud infrastructure.
- Knowledge of deep learning techniques and frameworks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
- Experience working with natural language processing (NLP) techniques and libraries such as NLTK, spaCy, or Transformers.
- Understanding of software development methodologies such as Agile or DevOps, and experience with version control systems such as Git.
Benefits:
- Competitive salary and benefits package, including health insurance, retirement plans, and flexible spending accounts.
- Collaborative and inclusive work environment with a diverse team of talented individuals.
- Exciting projects at the forefront of machine learning and AI technology, with the opportunity to make a meaningful impact.
- Strong relocation assistance
If you are passionate about machine learning, thrive in a fast-paced environment, and are eager to contribute to cutting-edge projects, we encourage you to apply and join us in shaping the future of AI and machine learning.
