Location - Only Mumbai (Hybrid)
About the Company:
Collinson is a global, privately-owned company dedicated to enhancing the travel experience for millions worldwide. With over 30 years of expertise, we help top brands like American Express, British Airways, and Sephora engage and retain high-value customers. Our innovative solutions, including the world-renowned Priority Pass, set the standard for customer loyalty in the Financial Services, Travel, and Retail sectors. With 2,000 passionate employees across 20 locations, we offer the chance to be part of a dynamic, entrepreneurial team that’s shaping the future of customer experiences worldwide. Join us and help create smarter, more rewarding journeys.
About the Role:
As a Machine Learning (ML) Engineer at Collinson, you will develop cloud-based ML pipelines, collect data from various business units, and productionize analytics using a centralized platform. You’ll provide analytical expertise to deliver solutions that meet global client needs. Your role involves driving innovation, exploring new frameworks, and collaborating with the data platform team to integrate ML workflows. Additionally, you will support team growth, resolve issues, and ensure high-quality outputs through technical expertise, problem-solving, and effective communication with stakeholders.
Key Responsibilities:
- Develop and maintain machine learning pipelines for data-driven products and services.
- Contribute to the architecture and technical decisions for cloud-based ML workflows (e.g., AWS).
- Collaborate with data scientists and engineers to deploy ML and deep learning models into production systems.
- Select and implement the best tools and services for production needs.
- Promote a self-serve data culture by reducing barriers to data access.
- Stay up-to-date with the latest ML research and technologies and share knowledge within the organization.
Day-to-Day Activities:
- Work on all project stages including planning, development, quality control, and deployment.
- Design, build, and maintain strategic platforms and tooling.
- Develop supervised and unsupervised machine learning models.
- Rapidly prototype and transform proof-of-concept projects into enterprise solutions.
- Communicate findings through reports and presentations to stakeholders.
- Investigate emerging trends in data science and ML to identify opportunities for innovation.
Team Collaboration:
- Actively contribute to team dynamics and continuous improvement within the data and analytics team.
- Build strong relationships with stakeholders to deliver high-value solutions and maintain open communication.
- Provide regular updates on progress to technical leads and project managers.
- Stay informed about new technologies and share knowledge with the team through presentations and mentoring.
- Participate in external communities to stay ahead of industry trends and inform solution design.
Key Responsibilities:
- Develop and maintain ML pipelines for data-driven products and services.
- Collaborate with data scientists and engineers to deploy ML models into production.
- Implement tools and services to enhance data access and usability.
- Stay updated on the latest ML research and technologies.
Knowledge and Skills:
- Expertise in data preparation, exploration, and visualization.
- Strong understanding of statistical modeling, data mining, and predictive techniques.
- Proficiency in Python, R, or Java with ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with SQL, AWS, and data warehousing solutions (e.g., Snowflake).
- Familiarity with version control, CI/CD, and containerization (Docker, Kubernetes).
Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Data Science, or related field; Ph.D. is a plus.
- 5+ years of experience in ML, with a proven track record of deploying models in production.
- Strong communication and problem-solving skills, with the ability to work effectively in teams.
Preferred Skills:
- Experience with Kubernetes, Kafka, Hadoop, and distributed computing frameworks.
- Familiarity with software development best practices, including CI/CD pipelines.
Person Specification:
- Self-motivated, innovative, and able to work independently.
- Goal-oriented with attention to detail.
- Strong communication skills and the ability to bridge technical and business groups.
If you're passionate about machine learning, data-driven solutions, and working with cutting-edge technologies, we’d love to hear from you!