Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level
LeewayHertz
Sr Machine Learning Engineer (Remote)
Sr Machine Learning Engineer | LeewayHertz | UnitedStates
Job Information
- Develop, optimize, and deploy machine learning models for a variety of business problems (e.g., prediction, classification, recommendation systems, etc.)
- Design and implement scalable machine learning pipelines to process and analyze large datasets.
- Research and experiment with state-of-the-art machine learning algorithms and techniques to improve model performance and accuracy.
- Work closely with data engineers to ensure data quality, consistency, and availability for machine learning workflows.
- Collaborate with software engineers to integrate machine learning models into production environments.
- Mentor and guide junior machine learning engineers and data scientists, providing technical expertise and leadership.
- Perform feature engineering and data preprocessing to improve model outcomes.
- Monitor model performance and retrain models periodically to ensure their accuracy and relevance.
- Conduct thorough A/B testing and validation of models to evaluate their impact and effectiveness.
- Stay updated on the latest advancements in AI/ML research and identify new opportunities for innovation.
- Troubleshoot issues in machine learning pipelines and optimize systems for scalability and efficiency.
- Bachelor’s or Master’s degree in Computer Science/IT Engineering.
- Strong proficiency in programming languages such as Python, R, or Java
- Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras
- Experience with deep learning models such as CNNs, RNNs, LSTMs, and transformer models
- Hands-on experience in Generative AI, LLMs, and reinforcement learning
- Solid understanding of statistical models, probability theory, and linear algebra
- Experience with large-scale data processing tools (e.g., Apache Spark, Hadoop) and cloud services (e.g., AWS, GCP, Azure)
- Proficient in using data visualization tools and techniques to interpret model results
- Knowledge of data preprocessing techniques, feature engineering, and dimensionality reduction
- Strong knowledge of MLOps principles and CI/CD pipelines for machine learning
- Familiarity with Docker, Kubernetes, and other containerization tools for deploying models in production
- Proficiency in working with REST APIs to integrate AI models into web-based applications
- Knowledge of model monitoring and retraining practices in production
- This role offers the flexibility of working remotely in India.
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Number of Positions
...Sr Machine Learning Engineer | LeewayHertz | United States
Job Information
Number of Positions
2
Date Opened
10/22/2024
Industry
Technology
Job Type
Full time
Work Experience
4-8 years
Remote Job
Job Description
This is a remote position.
Job Summary:
We are seeking a highly skilled and experienced Senior Machine Learning Engineer with 5-10 years of experience to join our dynamic AI/ML team. The ideal candidate will lead the development, implementation, and scaling of machine learning models and AI-driven solutions for our cutting-edge products and services. You will collaborate with data scientists, engineers, and product teams to deliver high-impact AI solutions. This role requires a deep understanding of machine learning frameworks, a solid foundation in data analysis, and the ability to work with large datasets in a fast-paced, AI-driven environment.
Key Responsibilities:
Requirements
Candidate Required Skills: