AI Engineer/Lead AI Engineer

You have a passion for leveraging AI and machine learning to create transformative solutions. You are seeking a Lead Data Scientist role to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. **Key Responsibilities:** - **Machine Learning and AI Development** - 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 for both structured and unstructured data. - Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. - Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. - Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. - **Deployment and tracking of real-time and batch models** - Containerize applications using Docker and deploy them to cloud platforms. - Implement robust CI/CD pipelines for seamless machine learning deployments. - Design and optimize SQL queries and database schemas for efficient data retrieval. - Develop and manage scalable feature engineering pipelines. - Architect scalable, fault-tolerant machine learning systems. - **Team Leadership** - Mentor and guide junior data scientists, fostering a culture of learning and innovation. - Establish and enforce standards and best practices for data science workflows. - Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. - **Operational Excellence** - Establish and maintain streamlined, scalable processes for data science solution development. - Align with company standards to ensure consistency and scalability in AI deployments. - **Business Impact** - Collaborate with stakeholders to define problems, metrics, and data-driven solutions. - Translate complex technical insights into actionable business strategies that deliver measurable value. **Qualifications:** - **Experience and Education** - 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 a related field (or equivalent experience). - **Technical Expertise** - Mastery of Python for data manipulation, machine learning, and software development. - Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. - Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. - Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. - Proficiency in SQL, Spark, and ETL processes. - Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. - Hands-on experience with cloud platforms like AWS.,