Delivery Lead - AI
Delivery Lead - AI
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Salary Not Disclosed
1 Vacancy
Job Description
- Design and architect endtoend data science solutions that align with business objectives and technical requirements.
- Develop scalable and maintainable data science workflows including data ingestion preprocessing modeling and deployment.
- Ensure the integration of data science solutions with existing systems and platforms.
- Provide technical leadership and guidance to data scientists data engineers and other stakeholders.
- Stay updated with the latest advancements in data science machine learning and AI technologies and apply them to improve solution designs.
- Lead the planning execution and delivery of data science projects ensuring they are completed on time and within budget.
- Collaborate with project managers to define project scope milestones and deliverables.
- Monitor project progress and provide regular updates to stakeholders.
- Define data strategy and governance frameworks to ensure data quality security and compliance.
- Establish best practices for data management including data acquisition storage and processing.
- Work closely with business stakeholders to understand their needs and translate them into technical requirements.
- Communicate complex technical concepts to nontechnical stakeholders in a clear and concise manner.
- Foster a collaborative environment to facilitate knowledge sharing and innovation.
- Oversee the implementation of data science solutions including the development and deployment of machine learning models.
- Ensure solutions are robust scalable and perform well in production environments.
- Conduct code reviews and ensure adherence to coding standards and best practices.
- Optimize the performance of data science solutions including model accuracy computational efficiency and resource utilization. Improve efficiency by creating repeatable and reusable modules
- Troubleshoot and resolve technical issues related to data science solutions.
- Strong programming skills in languages such as Python R or Scala.
- Expertise in machine learning frameworks and libraries (e.g. TensorFlow PyTorch scikitlearn).
- Proficiency in data manipulation and analysis using SQL and data processing tools (e.g. Apache Spark Hadoop).
- Experience with cloud platforms (e.g. AWS Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes).
- Experience with Generative AI models (e.g. GPT BERT DALLE) and frameworks (e.g. Hugging Face Transformers OpenAI GPT3).
- Knowledge of finetuning GenAI models for specific tasks and industries.
- Ability to design and implement GenAI solutions for various applications such as text generation image generation and conversational AI.
- Familiarity with techniques for training and deploying GenAI models.
- Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
- Proficiency in MLOps practices including model deployment monitoring and continuous integration/continuous deployment (CI/CD) for machine learning models.
- Experience with MLOps tools and platforms (e.g. MLflow Kubeflow TFX).
- Proficiency in containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes) for deploying and managing data science solutions.
- Experience with big data technologies (e.g. Apache Kafka Apache Flink) for handling and processing large datasets.
tfx,mlops,sql,generative ai,google cloud,apache kafka,tensorflow,r,apache spark,azure,pytorch,openai gpt-3,kubeflow,kubernetes,machine learning,scikit-learn,artificial intelligence,apache flink,python,hadoop,scala,docker,hugging face transformers,mlflow,aws
Employment Type
Full Time
Company Industry
Key Skills
- Forklift
- Customer Service
- Organizational skills
- Basic Math
- Dealership Experience
- Laundry
- SyteLine
- Warehouse Experience
- Dispatching
- Personal Injury Law
- Translation
- Project Coordination
