AI Engineer/Lead AI Engineer
Description For AI Engineer/Lead AI Engineer
Salesforce is seeking a Lead Data Scientist to drive innovation and scale critical data science products. This role combines technical expertise in AI/ML with leadership responsibilities, focusing on developing complex AI solutions that are crucial to Salesforce's customer success. The position requires expertise in machine learning, AI development, and team leadership, with responsibilities spanning from implementing state-of-the-art models to mentoring junior data scientists. The ideal candidate will have 3+ years of experience in data science, strong technical skills in Python, ML frameworks, and cloud platforms, along with excellent leadership and communication abilities. This role offers the opportunity to work on cutting-edge AI projects while making a significant business impact, collaborating with talented professionals in a culture that values innovation and growth. The position involves both hands-on technical work and strategic leadership, making it perfect for someone looking to advance their career in AI while driving organizational excellence.
Responsibilities For AI Engineer/Lead AI Engineer
- Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks
- Perform model optimization for performance, scalability, and accuracy
- Implement advanced feature engineering techniques
- Build and optimize machine learning pipelines
- Containerize applications using Docker and deploy them to cloud platforms
- Implement CI/CD pipelines for machine learning deployments
- Mentor and guide junior data scientists
- Establish and enforce standards and best practices
- Collaborate with stakeholders to define problems, metrics, and data-driven solutions
Requirements For AI Engineer/Lead AI Engineer
- 3+ years of experience in data science, including deploying AI/ML products at scale
- Bachelor's or Master's degree in Mathematics, Computer Science, or related field
- Mastery of Python for data manipulation, machine learning, and software development
- Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn
- Experience with Docker, AWS SageMaker, and Airflow
- Proficiency in SQL, Spark, and ETL processes
- Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases
- Experience with cloud platforms like AWS
Benefits For AI Engineer/Lead AI Engineer
- Access to modern tools, technologies, and resources
- Professional growth opportunities
- Collaborative work environment
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