Tech Stack
ApacheAWSAzureCloudCyber SecurityDockerHadoopJavaKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflowVMware
About the role
- Responsible for designing, developing, and deploying AI models and systems that drive meaningful outcomes for our customers.\n
- Collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation.\n
- Requires a strong foundation in machine learning, deep learning, and data science, with a passion for solving challenging problems.\n
- Responsibilities include Model Development, Data Handling, System Integration, Research & Innovation, Collaboration, Testing & Evaluation, Documentation, Compliance & Ethics.\n
- Stay current with the latest AI research and trends; propose and implement innovative solutions to enhance our AI capabilities.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field.\n
- Proven experience in developing and deploying AI/ML models in a production environment.\n
- Proficiency in programming languages such as Python, Java, or C++.\n
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\n
- Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop).\n
- Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.\n
- Hugging Face Ecosystem: Demonstrated experience using Hugging Face tools such as the Transformers library, Datasets, and Tokenizers.\n
- Familiarity with integrating pre-trained models and fine-tuning them for specific applications is highly desirable.\n
- Analytical Skills: Strong problem-solving abilities with a keen attention to detail; ability to work with large datasets and extract meaningful insights.\n
- Communication: Excellent verbal and written communication skills; ability to clearly explain complex technical concepts to non-technical stakeholders.