Software Engineer- Machine Learning & Python

Location: Gandhinagar / Ahmedabad / Pune
Work Mode: 5 Days Work From Office
Notice Period: Immediate to 7 Days Preferred

About the Role

We are looking for a Software Engineer with strong expertise in Python and Machine Learning to develop intelligent solutions for the logistics and maritime industry. The role involves building predictive models, optimizing operations, and leveraging data-driven insights across vessel scheduling, cargo tracking, terminal automation, and logistics optimization.

Key Responsibilities

• Develop, test, and deploy machine learning models and data-driven applications.

• Analyze large datasets to generate insights and improve operational efficiency.

• Build predictive and optimization models for logistics and port operations.

• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

• Develop and maintain data pipelines, algorithms, and analytics frameworks.

• Optimize model performance and ensure reliability in production environments.

• Participate in system design, code reviews, and continuous improvement initiatives.

Required Skills

• Strong programming experience in Python.

• Hands-on expertise with Pandas, NumPy, Scikit-learn, and TensorFlow.

• Solid understanding of Machine Learning algorithms, model development, and deployment.

• Experience working with data analysis, predictive analytics, and optimization techniques.

• Strong problem-solving and analytical skills.

• Ability to work in a collaborative and fast-paced environment.

Preferred Domain Experience

Exposure to one or more of the following areas is highly desirable:

• Vessel Scheduling

• Yard Optimization

• Cargo Tracking

• Port Analytics

• Terminal Automation

• Logistics & Supply Chain Optimization

Qualification

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Ideal Candidate

A passionate engineer with a strong foundation in machine learning and data analytics who enjoys solving complex operational challenges through innovative technology solutions.

Interested can apply on [email protected].

Thank you.