Associate AIML Software Engineer
Job Description
🆔 Job ID: R-100483
🏢 Company: Kaleris
📍 Location: Chennai, Tamil Nadu, India 🌆
💼 Job Type: Full-Time 💻
🏢 Work Mode: Onsite 🏢
⏳ Experience: 0–2 Years 👨💻
🎓 Education: Bachelor’s Degree in Computer Science, Engineering, Statistics, Mathematics, or related field 🎓
💰 Expected Salary: ₹6 – ₹12 Lakhs Per Year 💸
📊 Job Category: Artificial Intelligence, Information Technology, Engineering, Machine Learning, Software Engineering, Data Science, MLOps, Cloud Engineering 🌐
🌐 Website: Website
📞 Contact: Contact us
🌟 About the Company:
Kaleris is a global leader in supply chain execution and logistics technology 🚢🌍, providing mission-critical software solutions for yard management, transportation, terminal operations, and supply chain optimization.The company focuses on AI-powered logistics solutions, operational intelligence, and automation technologies that help businesses improve efficiency and decision-making 🚀
💡 About the Role:
Kaleris is hiring an Associate AIML Software Engineer 🤖 for its Chennai office.
This role offers an exciting opportunity to work on real-world AI and Machine Learning systems that optimize logistics operations, routing, terminal throughput, and intelligent decision-making systems.Candidates will gain hands-on experience in Machine Learning, MLOps, Cloud Technologies, Data Pipelines, and AI model deployment while collaborating with experienced engineering teams 🚀
📌 Key Responsibilities:
📌 Develop, test, and deploy machine learning models ⚙️
📌 Build and maintain data ingestion and feature engineering pipelines 📊
📌 Automate model training and evaluation workflows 🔄
📌 Contribute to CI/CD pipelines for ML services ☁️
📌 Monitor model performance, latency, and model drift 📈
📌 Troubleshoot production issues and improve reliability 🔍
📌 Participate in code reviews and technical documentation 📝
📌 Collaborate with cross-functional engineering teams 🤝
🎯 Requirements:
🎯 Bachelor’s Degree in Computer Science, Engineering, Statistics, Mathematics, or related field 🎓
🎯 0–2 years of relevant experience (internships/projects accepted) 💻
🎯 Strong programming skills in Python 🐍
🎯 Familiarity with scikit-learn, pandas, and numpy 📊
🎯 Knowledge of Machine Learning concepts and evaluation metrics 🤖
🎯 Basic understanding of SQL, Git, and software engineering practices 🗄️
🎯 Strong analytical and problem-solving skills 🔍
🌟 Preferred Skills:
✅ Experience with PyTorch or TensorFlow 🤖
✅ Familiarity with MLflow or experiment tracking tools 📈
✅ Knowledge of Docker and Kubernetes 🐳
✅ Exposure to AWS, Azure, or GCP ☁️
✅ Interest in Logistics & Supply Chain AI 🚢
✅ Understanding of Reinforcement Learning concepts 🧠
🌟 Why Join Kaleris?
✅ Work on AI systems used in global logistics operations 🌍
✅ Gain hands-on experience with production-grade ML solutions 🤖
✅ Learn modern MLOps and cloud engineering practices ☁️
✅ Work with experienced AI and engineering professionals 👨💻
✅ Strong mentorship and career growth opportunities 🚀
✅ Inclusive and collaborative work environment 🤝
