Gen AI - Senior Engineer

Must-Have Skills

.Generative AI & ML: Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering.

.Programming & Data: Python, PyTorch/TensorFlow, data preprocessing, API integration, data visualization.

.MLOps & Deployment: MLflow, cloud AI platforms (Databricks/AWS/GCP/Azure).

.Communication & Problem-Solving: Translating logistics challenges into AI solutions, cross-team collaboration.

Good-to-Have Skills

.Advanced GenAI: Multi-modal and agentic AI, synthetic data generation.

.Domain Knowledge: Logistics operations (routing, forecasting, warehouse & fleet management).

.Optimization & Simulation: Reinforcement learning, digital twins, operations research.

.Data Engineering: ETL pipelines, data lakes, Spark/Databricks.

.Cloud & DevOps: CI/CD for ML, data security, and compliance.

.Soft Skills: Innovation mindset, stakeholder engagement, clear documentation.

Required Skills & Experience:

. 5 years of hands-on experience with Python, Cloud AI Platform (Databricks / AWS / GCP / Azure).

. Proven experience in building MLflow

. Expertise in Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering

. Strong analytical and problem-solving skills.

. Good communication and documentation abilities.

Mandatory Competencies