AI/ML Engineer
- fuge technologies Inc..
6 Days Ago
NA
NA
Arlington-TX
6-15 Years
Required Skills: Git, Docker, Kubernetes
Job Description
Role: AI/ML Engineer
Client: TechM/GMF
Location: Arlington, Texas- USA (Day 1 Onsite)
Key Responsibilities:
Client: TechM/GMF
Location: Arlington, Texas- USA (Day 1 Onsite)
Key Responsibilities:
- AI Model Development: Design, develop, and deploy machine learning models and AI solutions to solve complex problems.
- Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to train and evaluate AI models.
- Performance Monitoring: Monitor the performance of AI models, troubleshoot issues, and optimize algorithms for efficiency and accuracy.
- Collaboration and Training: Work with cross-functional teams to understand AI requirements and provide training on AI tools and best practices.
Documentation:
- Develop and maintain comprehensive documentation on AI models, algorithms, and deployment processes.
Experience
- 5+ years of experience in AI and machine learning, including hands-on experience with model development, deployment, and optimization.
Technical Skills
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
- Experience with data preprocessing and feature engineering.
- Knowledge of deep learning techniques and neural networks.
- Familiarity with cloud platforms (e.g., AWS, Azure) for AI model deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools.
Desired Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills to interact with technical and non-technical stakeholders.
- Ability to mentor and train junior AI engineers.
- Commitment to continuous learning to stay updated with the latest AI technologies and practices.
- Familiarity with tools such as Jupyter Notebooks, Git, Docker, Kubernetes.
