Lead ML Engineer
Machinify- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess strong software engineering principles, proficiency in cloud architecture (AWS, Azure, or GCP), experience with infrastructure as code, familiarity with CI/CD and DevOps, expertise in data preprocessing and ML techniques, and experience with model evaluation and libraries such as TensorFlow and PyTorch.
The Machine Learning Engineer will be accountable for designing scalable machine learning infrastructure, implementing CI/CD pipelines for model deployment, monitoring models in production, developing Generative AI solutions, ensuring security and compliance, preprocessing and analyzing datasets, developing and fine-tuning ML models to optimize for performance, and communicating results to stakeholders.
Business and technology consulting leveraging AI
Inspire11 is a business and technology consulting firm that focuses on using Artificial Intelligence (AI) to help clients innovate and transform their operations. The company offers various consulting services, including AI Talk and Ideation Workshops, where experts work with client teams to brainstorm and develop AI-driven ideas that align with their business objectives. Inspire11's approach is client-centric, ensuring that projects deliver real value quickly, often within the first week. What sets Inspire11 apart from its competitors is its emphasis on disruption and innovation, combining top talent with advanced AI capabilities to address complex challenges in a straightforward and sustainable way. The goal of Inspire11 is to help clients achieve business agility and unlock the full potential of AI in their organizations.