Data and ML Engineer
1 month ago
Andromeda Security is an early stage, top-tier Silicon Valley VC-funded multinational startup building a team in Bengaluru, India. You will have the opportunity to grow with the company and help secure enterprises from cloud security breaches.
Job Description:
We're looking for dreamers, coders, and hackers who want to explore the frontiers of cloud security We're also calling software engineers who are “thinkers,” “builders,” and “doers,” self-driven, and eager to learn new cloud technologies.
You will have opportunities to learn how to create a data analytics platform from scratch and scale it for millions of cloud users.
AI/ML and Big Data: Learn how to take real-life problems related to finding anomalies and work on clustering problems using both supervised and unsupervised models.
Design and develop Machine Learning Systems, models, and recommendation systems.
Develop data pipelines to ingest, perform ETL transformations, and store them in a data lake.
Build the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Create data transformation to drive dashboards, data engines, and prediction applications.
Address data preparation and quality issues. Develop code to handle data irregularities and inconsistencies.
Learn and adhere to security best practices around data and enforce proper data governance.
Develop solutions to integrate with 3rd party systems for data ingestion and transformation.
Develop optimal query solutions across structured and unstructured data sources.
Create data tools for analytics and data scientist team members that assist them in optimizing our product.
We take pride in our culture of trust, excellence, humility, grit, and fun. We are on a mission to solve challenging problems in cloud security. We seek partners who will grow and help others succeed in the company.
Tech Stack:
Programming languages - Golang, Python
API/Platform - GraphQL, GRPC, and Open API
LLM and transformers in Tech-stack
Analytics - numpy, pytorch, Tensorflow, and BigQuery
Query languages, SQL, OpenCypher
Analytics platform - ElasticSearch, Graph DBs (AWS Neptune, Neo4j).
Event processing - Kafka
Minimum Qualifications:
3+ yrs of industry experience in software development.
3+ yrs of experience in operationalizing ML models and data labeling.
Experience with TensorFlow, Scikit-Learn, Keras, PyTorch, and Neural Networks
Proficiency with SQLand noSQL databases
Bachelor's or Master’s degree in engineering or a related technical field.
Expert knowledge of one of the common programming languages such as C++, Java, Golang, or Python
Preferred Qualifications:
Experience with hacking or contributions to open source.
Experience implementing core data structures such as b-trees, graph walks, etc.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Understanding of cloud computing architectures in AWS, Azure, or GCP
Knowledge of SQL, database, operating systems, distributed systems
Experience with any of the data analytics platforms:
Experience with Graph Databases like DuckDB, AWS Neptune.
Understanding of Gremlin or openCypher.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc
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