Lead Software Engineer
- Global Payments
- 4 - 7 years
- Pune
- 3 months ago
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Job Description
The Machine Learning Engineer is a driven professional with a strong foundation in machine learning, statistical modeling, and data analysis. With at least 4 years of experience, the candidate will work on designing and implementing AI/ML models to solve complex business problems. They will leverage Snowflakes data platform alongside modern machine learning frameworks to deliver scalable, data-driven solutions. This role offers an opportunity to join a collaborative team committed to innovation and operational excellence.
RESPONSIBILITIES
- Develop, test, and deploy machine learning models, with a focus on business applications that drive measurable impact in the FinTech space.
- Collaborate with Data Scientists to build and maintain ML pipelines and ensure execution of modeling tasks.
- Analyze large and complex datasets using statistical methods to deliver actionable insights.
- Design and implement features leveraging Snowflakes AI capabilities, including Cortex AI, for scalable solutions.
- Create and optimize AI/ML pipelines for performance and reliability within Snowflake.
- Apply Retrieval Augmented Generation (RAG) techniques to enhance model accuracy and relevance.
- Partner with cross-functional teams to translate business needs into AI/ML solutions.
- Implement best practices for versioning, monitoring, and retraining machine learning models.
- Document processes, results, and workflows for transparency and reproducibility.
- Stay informed on AI/ML trends and bring innovative ideas to the team.
Must Haves:
- Education: Bachelor s degree in Data Science, Computer Science, Statistics, or a related field.
- Experience: 4+ years in machine learning or data science roles.
- Skills & Knowledge:
- Proficiency in Python and strong knowledge of libraries like NumPy, Pandas, and Scikit-learn.
- Experience with machine learning frameworks (TensorFlow, PyTorch, or similar).
- Familiarity with SQL and data manipulation in Snowflake or other cloud data warehouses.
- Understanding of statistical modeling, supervised and unsupervised learning techniques.
- Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.
- Strong grasp of data preparation, feature engineering, and model evaluation methods.
- Basic knowledge of Retrieval Augmented Generation (RAG) principles and implementation.
- Familiarity with version control systems like Git.
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Bonus Attributes:
- Hands-on experience with Snowflake Cortex AI or other cloud-based ML platforms.
- Knowledge of advanced AI techniques such as Generative AI or reinforcement learning.
- Familiarity with MLOps tools for model deployment and lifecycle management.
- Experience with Natural Language Processing (NLP) tasks and tools like Hugging Face Transformers.
- Exposure to big data technologies such as Apache Spark.
- Certifications in AI/ML, Snowflake, or cloud platforms (AWS, GCP, or Azure).
- Knowledge of CI/CD pipelines and automation tools.
- Publications or project contributions in the AI/ML domain.
Abilities:
- Strong analytical and problem-solving skills.
- Ability to manage multiple projects effectively while meeting deadlines.
- Excellent communication and interpersonal skills for collaborating across teams.
- Adaptability in dynamic environments and flexibility to adjust to changing priorities.
- Capacity to work independently with minimal supervision and deliver high-quality results.
- Keen attention to detail and commitment to accuracy in analysis and reporting.
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Global PaymentsLocation(s): Pune+ View Contact
Keyskills: Computer science Data analysis Operational excellence GCP Analytical Machine learning data visualization Monitoring SQL Python
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Global Payments
At Global Payments (NYSE : GPN), we empower simple, fast, secure payments for everyone. And to do that, weve built a complete, worldwide commerce ecosystem that delivers software and services at scale to millions of companies around the worldfrom ambitious startups to global enterprises.
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