We are looking for a skilled Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve real-world business problems. The ideal candidate will have strong programming skills, deep understanding of ML algorithms, and experience deploying models into production environments.
You will work closely with data scientists, software engineers, and product teams to build intelligent systems powered by data.
🎯 Key Responsibilities
- Design, develop, and train machine learning models
- Perform data preprocessing, cleaning, and feature engineering
- Build and optimize predictive models
- Deploy models into production systems
- Monitor model performance and retrain when necessary
- Work with large datasets
- Collaborate with engineering teams to integrate ML solutions
- Improve scalability, accuracy, and efficiency of models
- Stay updated with latest AI/ML research and technologies
🛠 Required Skills & Qualifications
Technical Skills:
- Strong programming skills in Python
- Experience with ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
- Knowledge of:
- Supervised and Unsupervised Learning
- Deep Learning
- Neural Networks
- Experience with:
- Data analysis libraries (Pandas, NumPy)
- Model evaluation techniques
- Understanding of:
- MLOps practices
- Model deployment
- REST APIs
- Experience with cloud platforms (AWS / Azure / GCP)
🎓 Education:
- Bachelor’s or Master’s degree in:
- Computer Science
- Artificial Intelligence
- Data Science
- Mathematics
- Statistics
- Or related field
Equivalent experience may be considered.
⭐ Preferred Qualifications
- Experience with Large Language Models (LLMs)
- Experience in Generative AI
- Knowledge of NLP or Computer Vision
- Experience with Docker and Kubernetes
- Experience in production-level ML systems
- Understanding of data pipelines
💡 Soft Skills
- Strong analytical thinking
- Problem-solving ability
- Attention to detail
- Good communication skills
- Ability to work in a team
- Self-motivated and research-oriented
🚀 What We Offer
- Competitive salary package
- Opportunity to work on advanced AI projects
- Flexible work environment
- Professional growth opportunities
- Collaborative innovation culture
- Performance-based incentives
📌 How to Apply
Please submit:
- Updated CV/Resume
- GitHub or portfolio (if available)
- Brief summary of ML projects
- Relevant certifications (if any)