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Sr Data/ML Engineer
3 months ago
Title:
Sr Data/ML Engineer, IDSLocation:
Hyderabad
Intralinks is a leading financial technology provider for the global banking, deal making and capital markets communities.
We've earned the trust and business of more than 99 percent of the Fortune 1000 and have executed over $34.7 trillion worth of financial transactions on our platform.
Intelligent Data Services organization within our R&D embodies the Intralinks spirit of creating innovative AI and data analytics-based solutions to help our customers in both M&A transactions and fund raises in the Alternative investment space.
This role we are looking to fill is for a dynamic, agile position where the Machine Learning (ML)/Data engineer will partner with application teams and peer data scientists to: assist with data analysis and research; conducting 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.
Skills and experience requiredStrong Programming skills in Python & Python based frameworks such as Celery, Flask, Django, FAST API etc.
Experienced in building V3 REST APIsExperience 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 Extraction to Insights generationFamiliarity with Databases such as Mongo, Graph (Neptune, Neo4j etc.) will be a plus.
Environment/OS:
Linux - Commands & scripting
Qualifications & Relevant Experience
Bachelor's degree in engineering preferably in Computer Science OR a related area with necessary software skills gleaned academically and through working experience.
