Overview
We are seeking a highly skilled and innovative AI/Machine Learning Engineer to join our team. As an AI/Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions. You will play a critical role in leveraging data-driven insights to drive business decisions, enhance product functionality, and deliver value to our customers through advanced AI technologies.
Roles And Responsibilities - Machine Learning Model Development:
- Design and implement machine learning algorithms and models that address business challenges and opportunities.
- Preprocess, clean, and analyze large datasets to extract meaningful features and patterns for model training.
- Select appropriate machine learning techniques, frameworks, and libraries to build predictive models and algorithms.
- Model Training and Evaluation:
- Train, optimize, and validate machine learning models using supervised, unsupervised, and reinforcement learning techniques.
- Evaluate model performance metrics, interpret results, and iterate on models to improve accuracy, efficiency, and scalability.
- Implement techniques for model explainability, bias detection, and fairness to ensure ethical and transparent AI applications.
- AI Solution Deployment:
- Deploy machine learning models into production environments and integrate them with existing systems or applications.
- Develop APIs and interfaces for model inference and real-time data processing to support scalable and reliable AI solutions.
- Monitor model performance and behavior in production, troubleshoot issues, and implement improvements as needed.
- Data Pipeline and Infrastructure:
- Design and build data pipelines for collecting, preprocessing, and storing data from diverse sources.
- Collaborate with data engineers to optimize data infrastructure, storage, and retrieval for machine learning workflows.
- Implement scalable cloud-based solutions (e.g., AWS, Azure, Google Cloud) to support AI model development and deployment.
- Collaboration and Knowledge Sharing:
- Work closely with cross-functional teams including data scientists, software engineers, and product managers to understand requirements and deliver AI-driven solutions.
- Share knowledge, best practices, and insights with team members through documentation, presentations, and technical workshops.
- Stay updated with advancements in AI, machine learning, and related technologies, and contribute to continuous learning and improvement within the organization.
Compensation
- Competitive salary based on experience, skills, and market rates for AI/Machine Learning Engineers.
- Performance-based bonuses and incentives tied to successful project delivery, model performance metrics, and business impact.
- Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.