What are the responsibilities and job description for the AI/ML Engineer position at Jobs via Dice?
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We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.
Responsibilities:
We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.
Responsibilities:
- Design, develop, and implement machine learning models using TensorFlow to solve complex business problems.
- Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
- Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms.
- Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems.
- Optimize and fine tune models for performance and scalability.
- Document processes, methodologies, and results to ensure knowledge sharing within the team.
- Mentor junior team members and contribute to a culture of continuous learning and improvement.
- Strong expertise in TensorFlow, Keras and its ecosystem.
- Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn).
- Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5 7 years of experience in AI/ML engineering or a related role.
- Proven experience in developing and deploying machine learning models in production environments.
- Excellent communication skills and the ability to work effectively in a team.