• Robust background in traditional AI methodologies, encompassing both machine learning and deep learning frameworks.
• Proficiency in Python, C++, and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality products is essential.
• Experience integrating AI tech into full-stack projects is a plus.
• Skilled in integrating, cleansing, and shaping data, with expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB.
• Proficient in developing optimal data pipeline architectures for AI applications, ensuring adherence to client’s SLAs.
• Familiarity with Linux platform and experience in Linux app development is desirable.
• Experienced in DevOps, skilled in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes).
• Experience in Generative AI would be a huge plus.
• AI compiler/runtime skills would be a huge plus.
• Open-source Contribution is a huge plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks is beneficial.
• Strong problem-solving and analytical skills, with experience in optimizing AI algorithms for performance and scalability.
  

Familiar with Agile methodologies, adept at collaborative teamwork. Experience in Agile development of AI-based solutions is advantageous, ensuring efficient project delivery through iterative development processes.

Your Role And Responsibilities

• Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency.
• Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems.
• Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs.
• Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment.
• Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries.
• Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills.
• Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security.
• Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments.
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Programming Proficiency:
• Proficiency in Python, C++.
• Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products.
• Data Handling Skills:
• Skilled in integrating, cleansing, and shaping data.
• Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB.
• DevOps Experience:
• Experienced in DevOps practices.
• Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes).
• Open-Source Contribution:
• Open-source Contribution is a plus.
• Experience in contributing to open-source AI projects or utilizing open-source AI frameworks.
• Problem-Solving Skills:
• Strong problem-solving and analytical skills.
• Experience in optimizing AI algorithms for performance and scalability.
• AI Compiler/Runtime Skills:
• AI compiler/runtime skills would be a plus.
• Agile Methodologies:
• Familiarity with Agile methodologies.
• Experience in Agile development of AI-based solutions.
• Ensuring efficient project delivery through iterative development processes
  

Preferred Technical And Professional Experience

• Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively.
• Proficiency in distributed systems, microservice architecture, and REST APIs.
• Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.
• Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies.
• Proven ability to contribute to the development and improvement of AI frameworks and libraries.
• Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
• Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
• Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
• Maintained high standards of code quality, performance, and security in AI projects.