Job Description:
We are looking for a skilled and innovative AI Engineer to join our team and help build cutting-edge artificial intelligence solutions. You will work on designing, developing, and deploying AI models and systems that solve real-world problems. If you are passionate about AI, machine learning, and data-driven innovation, this role offers an exciting opportunity to make a significant impact.
Responsibilities:
- Develop, train, and deploy machine learning models to address business challenges.
- Design and implement end-to-end AI solutions, including data preprocessing, model selection, and performance optimization.
- Collaborate with cross-functional teams, including data engineers and software developers, to integrate AI models into production systems.
- Research and implement state-of-the-art AI techniques and algorithms.
- Analyze large datasets to extract meaningful insights and patterns.
- Monitor and fine-tune deployed models to maintain performance and accuracy.
- Document AI workflows, pipelines, and processes for team collaboration and future reference.
Preferred Qualifications:
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Familiarity with NLP, computer vision, or other AI subfields.
- Strong understanding of data preprocessing and feature engineering techniques.
- Experience with big data tools like Spark, Hadoop, or cloud-based solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Soft Skills:
- Strong analytical and problem-solving skills.
- Effective communication and ability to work collaboratively in a team environment.
- Curiosity and eagerness to stay updated on the latest AI advancements.
- Experience:
- Hands-on experience in building and deploying AI/ML models in production environments.
- Preferred Qualifications:
- Advanced degree (Master’s or PhD) in Computer Science, Data Science, AI, or a related field.
- Experience with reinforcement learning, generative AI, or AI ethics is a plus.
