Job Title: AI/ML Engineer
Location: Multiple Location in USA
Job Summary: As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and AI solutions. You will work with large datasets, implement algorithms, and create models that drive impactful business decisions. Your role will involve collaborating with cross-functional teams to integrate AI solutions into our products and services.
Key Responsibilities
- Model Development and Training:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Train, evaluate, and optimize models to ensure high performance and accuracy.
- Experiment with different techniques and approaches to improve model performance.
- Data Handling:
- Collect, clean, and preprocess large datasets from diverse sources.
- Implement data augmentation and feature engineering techniques to enhance model inputs.
- Ensure data integrity and manage data pipelines for smooth model training and deployment.
- Algorithm and Architecture Design:
- Develop and optimize algorithms for supervised, unsupervised, and reinforcement learning tasks.
- Evaluate and select appropriate model architectures, such as neural networks, decision trees, and ensemble methods.
- Stay updated with the latest research and advancements in AI/ML technologies.
- Integration and Deployment:
- Integrate AI/ML models into existing systems and workflows.
- Deploy models to production environments and monitor their performance.
- Implement and maintain scalable and reliable AI/ML infrastructure.
- Collaboration and Communication:
- Work closely with data scientists, software engineers, and product managers to define project requirements and deliver solutions.
- Present findings, insights, and recommendations to stakeholders in a clear and actionable manner.
- Document processes, methodologies, and model performance for transparency and reproducibility.
- Continuous Improvement:
- Identify and address potential issues in existing models and solutions.
- Propose and implement improvements based on performance metrics and feedback.
- Participate in code reviews and contribute to best practices in AI/ML development.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Proven experience as an AI/ML Engineer or in a similar role with a strong portfolio of projects.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms, statistical methods, and data structures.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and deployment tools.
Preferred Skills
- Experience with natural language processing (NLP) or computer vision.
- Knowledge of deep learning techniques and frameworks.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Certification in AI/ML or related areas (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate).
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development in the AI/ML field.
- Flexible work hours and remote work options.
- A collaborative and innovative work environment.
- [Other perks and benefits specific to your company, e.g., wellness programs, team-building activities].
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