2 Senior AI Ml Engineer Predictive Modeling jobs in whatjobs
Senior AI/ML Engineer - Predictive Modeling
Posted 10 days ago
Job Viewed
Job Description
Our client, an AI-driven technology firm at the forefront of innovation, is seeking a highly skilled Senior AI/ML Engineer to lead the development and deployment of advanced predictive modeling solutions. This role is fully remote, requiring you to collaborate with a distributed team of researchers and engineers to build scalable and robust machine learning systems. You will be responsible for designing, implementing, and optimizing machine learning algorithms, focusing on areas such as natural language processing, computer vision, and data analysis. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field, extensive experience with deep learning frameworks, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms for predictive analytics.
- Build and maintain scalable ML pipelines for data ingestion, feature engineering, model training, and deployment.
- Conduct rigorous experimentation and validation of models to ensure accuracy, robustness, and performance.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Research and apply new AI/ML techniques and technologies to solve complex business problems.
- Optimize existing models for improved efficiency, speed, and resource utilization.
- Develop and maintain comprehensive documentation for ML models and processes.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor junior engineers and contribute to the team's knowledge sharing and technical growth.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Proficiency in Python and common ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Published research or contributions to open-source ML projects are highly desirable.
- This position is 100% remote, offering a unique opportunity to work on groundbreaking AI projects without geographical constraints.
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Senior AI/ML Engineer - Predictive Modeling
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer to join their cutting-edge team in a fully remote capacity. This role is central to developing and deploying advanced machine learning models that drive business insights and innovation. You will be responsible for the end-to-end lifecycle of AI/ML projects, from data gathering and preprocessing to model training, evaluation, and deployment. We are looking for a proactive individual with a deep understanding of various ML algorithms, strong programming skills, and a passion for pushing the boundaries of artificial intelligence. This is a fantastic opportunity to work on challenging problems and contribute to the advancement of AI solutions from anywhere. Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for various applications (e.g., predictive analytics, natural language processing, computer vision).
- Collect, clean, and preprocess large datasets to prepare them for model training.
- Experiment with different ML algorithms and techniques to find the most effective solutions.
- Train, validate, and fine-tune ML models to optimize performance metrics.
- Deploy ML models into production environments and monitor their performance over time.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing systems and new products.
- Stay up-to-date with the latest research and advancements in AI and machine learning.
- Develop and maintain MLOps pipelines for automated model training, deployment, and monitoring.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Contribute to the team's knowledge base through presentations and documentation.
- Evaluate the ethical implications and potential biases in AI models.
- Design and conduct A/B tests to evaluate model performance in real-world scenarios.
- Mentor junior engineers and contribute to the growth of the AI/ML team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, especially in a remote team setting.
- Experience with MLOps practices and tools.
- Ability to work independently and take ownership of projects.
This advertiser has chosen not to accept applicants from your region.
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