Artificial Intelligence Engineer
Join our Data Transformation Team to build AI-powered products for natural language understanding and data extraction. This remote role involves developing production-ready AI solutions and collaborating globally. You'll lead by example in a dynamic environment, with a focus on AI/ML model deployment and cloud services. Competitive compensation and benefits are offered.
Key qualifications include strong experience in AI/ML, proficiency in Python and SQL, and familiarity with Docker and Kubernetes. Expertise in NLP, computer vision, and Generative AI is essential. Strong problem-solving and communication skills are required, along with experience in deploying models at scale using cloud platforms.
About the Role
As a member of Data Transformation Team, you will work on building AI powered products and capabilities to power natural language understanding, data extraction, information retrieval, and data sourcing solutions. You will be engaged in the development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work with a global team and be encouraged for thoughtful risk-taking and self-initiatives.
Responsibilities
- Hands-on experience and solid understanding of AI/ML/Gen-AI/conversational-AI techniques and algorithms.
- Develop and deploy AI/ML models for various applications including chatbot, regression, classification, clustering, NLP, computer vision, and Gen-AI.
- Utilize Python for data manipulation, analysis, and modeling tasks and other commonly used ML frameworks.
- Proficient in SQL for querying and analyzing large datasets.
- Experience with Docker/Kubernetes for containerization and orchestration of applications.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Deploy AI/ML models into production environments and ensure scalability and reliability.
- Experience in working with cloud services for data storage, processing, and deployment.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication and presentation skills with the ability to explain complex analytical concepts to non-technical stakeholders.
Qualifications
- Strong hands-on experience in AI/ML/Gen-AI/Conversational AI.
- Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.
- Solid understanding of data structures, algorithms, and ML lifecycle.
- Experience with SQL and handling large datasets.
- Familiarity with Docker and Kubernetes for app deployment.
- Exposure to NLP, computer vision, and Generative AI models.
- Experience in deploying models to production at scale.
- Prior experience with cloud services (AWS, GCP, or Azure).
- Excellent analytical and problem-solving skills.
- Strong communication skills for cross-functional collaboration.
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