We are seeking a talented AI/ML Engineer to join our technology team. The ideal candidate will design, develop, and deploy machine learning models and AI solutions that enhance business operations and drive innovation. This role requires strong technical expertise in AI/ML frameworks, hands-on experience with data engineering, and a passion for solving complex business problems through intelligent automation.
Key Responsibilities
- Design, develop, and deploy machine learning models and AI solutions to address business challenges
- Build and optimize data pipelines for model training, testing, and deployment
- Collaborate with cross-functional teams including Data Engineers, Architects, and Business Analysts to translate requirements into AI/ML solutions
- Implement AI/ML integration with Salesforce and other enterprise platforms
- Support model monitoring, performance tuning, and continuous improvement initiatives
- Develop and maintain documentation for models, algorithms, and AI/ML workflows
- Participate in code reviews and adhere to best practices for AI/ML development
- Work within Agile/Scrum methodology, contributing to sprint planning and retrospectives
- Support generative AI initiatives and explore emerging AI technologies
- Mentor junior team members and share knowledge across the team
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Mathematics, or related field
- 3-5 years of hands-on experience in AI/ML development and implementation
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data engineering tools and ETL processes
- Knowledge of SQL and database technologies (SQL Server, PostgreSQL)
- Understanding of cloud platforms (AWS, Azure) and ML services
- Familiarity with model deployment and MLOps practices
- Experience with data visualization and analytics tools
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
Preferred Qualifications
- Master's degree or postgraduate certification in Machine Learning or AI
- Experience with Generative AI and Large Language Models (LLMs)
- Knowledge of Salesforce Einstein Analytics or AI integration
- Familiarity with NLP, computer vision, or deep learning applications
- Experience with DevOps practices and CI/CD pipelines
- Understanding of AI governance and responsible AI principles
- Prior experience in energy or utility sector
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