AI Engineer (Lead)

Overview

Lead an AI Engineer role within HPE Operations, designing, building and deploying AI and machine learning solutions and AI agent workflows, with mentoring and technical leadership responsibilities.

What you'll do

• Set up AI agent workflows.
• Conduct research and stay up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms.
• Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models.
• Collaborate with cross-functional teams to understand business requirements and design AI and machine learning solutions.
• Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness.
• Develop, implement, and optimize machine learning models and algorithms, including data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets.
• Continuously monitor and improve model performance and accuracy.
• Deploy machine learning models into production environments, considering scalability, performance, and security.
• Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability.
• Monitor the performance of deployed models, collect relevant metrics, and analyze data to identify areas for improvement.
• Fine-tune models, optimize algorithms, and enhance system performance based on insights from monitoring and analysis.
• Organize and lead comprehensive design review sessions, driving discussions to align with project requirements and best practices.
• Mentor and provide feedback to junior and mid-level team members.
• Work collaboratively with the engineering manager and team lead to set design and implementation standards.
• Regularly lead meetings, fostering a collaborative and productive team environment.
• Provide technical leadership, mentorship, and guidance to junior team members.
• Address and resolve challenges proactively.
• Develop and deliver strategic presentations and reports to senior stakeholders, demonstrating understanding of technical and business aspects.
• Provide insights and recommendations.
• Apply and leverage data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.

What you'll need

• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
• Typically 7-10 years' experience.
• Experience on Nvidia AI Enterprise (Nemo, Nim, etc.).
• Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning.
• Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics.
• Strong foundation in mathematics and statistics, including linear algebra, calculus, probability theory, and statistical concepts.
• Understanding and developing complex machine learning models and algorithms.
• Proficiency in programming languages such as Python, R, or Java.
• Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Git), and software development methodologies.
• Advanced knowledge and experience in deep learning, including advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning.
• Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to solve complex problems.
• Excellent communication skills to collaborate with cross-functional teams and stakeholders effectively.
• Strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.
• Strong programming skills, with expertise in Python, R, or Java.
• Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit.

Nice to have

• Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras.
• A deep understanding of statistical modeling, data mining, and data visualization.

Details

• Onsite role, with an expectation that you will primarily work from an HPE office.
• Location: Bengaluru, Karnātaka, India.
• Job level: TCP_04.