AI/ML Engineer
Actively Hiring
Full-time Posted 5 months ago
Responsibilities
- check_circle Design, develop, and deploy machine learning models and AI solutions to address business challenges
- check_circle Build and optimize data pipelines for model training, testing, and deployment
- check_circle Collaborate with cross-functional teams including Data Engineers, Architects, and Business Analysts to translate requirements into AI/ML solutions
- check_circle Implement AI/ML integration with Salesforce and other enterprise platforms
- check_circle Support model monitoring, performance tuning, and continuous improvement initiatives
- check_circle Develop and maintain documentation for models, algorithms, and AI/ML workflows
- check_circle Participate in code reviews and adhere to best practices for AI/ML development
- check_circle Work within Agile/Scrum methodology, contributing to sprint planning and retrospectives
- check_circle Support generative AI initiatives and explore emerging AI technologies
- check_circle Mentor junior team members and share knowledge across the team
Basic 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
Tags & Focus Areas
Fulltime Ai Ai Engineer Machine Learning Data Engineer