Tech Lead TECHM-JOB-29621
Role: MLOps Engineer
Location: Plano TX

1. Collaborate closely with customer stakeholders to understand their requirements, goals, and expectations for generative AI solutions.

2. Design, develop, and implement generative AI architectures, models, and solutions that meet customer needs and align with industry best practices.

3. Work cross-functionally with other teams, including data engineers, software developers, and project managers, to ensure the successful delivery of end-to-end AI projects.

4. Hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques.

5. Communicate effectively with both technical and non-technical stakeholders, translating complex AI concepts into clear, understandable language.

6. Provide expert guidance and advice as a consultant to help customers maximize the value of their generative AI investments.

7. Monitor and evaluate the performance of generative AI models, identify areas for improvement, and implement strategies to optimize solutions.

8. Stay current with the latest advancements in generative AI, machine learning, and related technologies, and incorporate new ideas and techniques into the team's work.

9. Mentor and guide junior team members in adopting generative AI technologies and best practices.

Required Skills:

1. Experience in a customer-facing role or in a role requiring close collaboration with clients.

2. Familiarity with Databricks, Client Flow, Driver H20 and Azure cloud ecosystem.

3. Strong expertise in generative AI techniques, such as GANs, VAEs, and Transformer models.

4. Proficiency in popular AI/Client frameworks and libraries, such as TensorFlow, PyTorch, Keras, and scikit-learn.

5. Experience in designing, developing, and implementing end-to-end AI solutions for real-world applications.

6. Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders.

7. Strong decision-making and problem-solving abilities, with a focus on pragmatic and efficient solutions.

8. Experience in consulting, with a proven track record of providing actionable advice and guidance to customers.

9. A bachelor's degree in computer science, engineering, or a related field. A master's degree or higher is preferred.

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