AI/ML Engineer

Role: AI/ML Engineer

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.