Senior Software Developer (Python)

Responsibilities:

Software Development & Implementation:

• Design, develop, and deploy scalable and efficient data science software solutions.
• Work closely with data scientists to integrate machine learning models into production systems.
• Develop and optimize data pipelines for real-time and batch processing.
• Write clean, maintainable, and efficient code following best software engineering practices.

System Architecture & Optimization:

• Architect robust and scalable systems to support data-driven applications.
• Implement efficient storage, retrieval, and processing mechanisms for large-scale datasets.
• Optimize software performance, scalability, and reliability.

Collaboration & Cross-Functional Integration:

• Work collaboratively with data scientists, engineers, and business teams to translate requirements into technical solutions.
• Provide technical guidance and mentorship to junior developers.
• Participate in code reviews, design discussions, and continuous improvement initiatives.

DevOps & Infrastructure Management:

• Implement best practices for software deployment, automation, and CI/CD pipelines.
• Ensure system security, data privacy, and compliance with industry standards.

Requirements:

Experience:

• 5+ years of professional experience in software development, preferably in data science or AI-related applications.
• Proven experience in developing, deploying, and maintaining scalable software systems.
• Experience in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.

Skills:

• Proficiency in Python, with expertise in frameworks like Flask, FastAPI, or Django.
• Strong understanding of data structures, algorithms, and software design principles.
• Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus.

Software Development & Engineering:

• Experience with API development, microservices, and containerization (Docker, Kubernetes).
• Solid understanding of database management systems (Neo4j).
• Familiarity with CI/CD pipelines, version control (Git), and automated testing frameworks.

Education:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field or equivalent through experience.

Preferred Qualifications:

• Experience in designing and deploying production-level machine learning applications.
• Certifications in software engineering, or DevOps practices.

This position requires a dynamic individual passionate about software development and data science, capable of delivering high-quality solutions in complex environments.

Why you'll love working here

• 14 days Annual leaves + 3 Sick leaves
• Private Health Insurance
• Annual Salary Review
• Performance Bonus
• 100% salary in probation period
• Free LinkedIn Learning Account
• Company Events & Team Building