Sr. Python/ML Engineer

Get To Know The Team: 

The SS&C Intralinks team is currently searching for a Senior Software Engineer to join their team. This role is a dynamic Agile engineering position where ML Engineer will partner with Application teams and peer data scientists to: assist with data analysis and research; conduct tactical data extracts and build balanced ML and Data pipelines; deploy AI/ Machine learning models via RESTful APIs; and structure model output data and build reports to measure deployed model efficiency.

Why You Will Love It Here!  

• Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans 
• Your Future: 401k Matching Program, Professional Development Reimbursement  
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays 
• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave  
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity 
• Training: Hands-On, Team-Customized, including SS&C University  
• Extra Perks: Discounts on fitness clubs, travel and more! 

What You Will Get To Do: 

• Strong Programming skills in Python & Python based frameworks such as Celery, Flask, Django, FAST API etc.
• Experienced in building V3 REST APIs
• Experience in ML SDLC, Microservices Architectures, building pipelines and productionizing Python and Java applications.
• Hands on experience in AWS apps such EC2, S3 Data Lake etc. 
• Strong knowledge   in CI/CD pipelines   and tools such as Jenkins, Splunk, CloudWatch, Grafana, Dynatrace, Terraform .. etc.
• Experience in deploying applications in Kubernetes and AWS platform.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Familiarity with data pipelines and ML pipelines right from Data Extration to Insights generation
• Familiarity with Databases such as Mongo, Graph (Neptune, Neo4j etc.), Vector DB will be a plus.
• Environment/OS: Linux - Commands & scripting

What You Will Bring: 

• 3+ years of related work experience in a software engineering environment
• Excellent knowledge in writing Python code to create modules and applications on Linux
• Experience in designing the RESTful APIs with well-known python frameworks such as FastAPI, or Flask
• Experience with Docker, Kubernetes, or Helm
• Experience with message queueing service such as NATS or, RabbitMQ, and in-memory caching service Redis
• Experience in SQL (PostgreSQL) and NoSQL (mogoDB), and AWS S3
• Some knowledge of UI development withJavaScript frameworks, such as React or AngularJS, HTML5, CSS3, jQuery, Ajax, Web Standards 

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