Machine Learning Engineer Job in Aera Technology
Machine Learning Engineer
Aera Technology
4+ weeks ago
- Pune, Pune Division, Maharashtra
- Not Disclosed
- Full-time
Job Summary
If you share our passion for building the next generation of enterprise software, and deploying it for the most sophisticated customers in the world, you ve met your match. Headquartered in Mountain View, California, we're growing fast, with teams in Mountain View and San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune and Bangalore (India), Sydney (Australia) and Singapore. So join us, and let s build the future of work together!
Responsibilities
- You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that power the Aera platform
- You will be working on new and challenging Engineering Problems to operationalize Data Science
- You will be working in a highly collaborative environment with other experts in Data Science, Engineering and DevOps teams
- Design and implement state of the art Machine Learning approaches
- Building core machine learning infrastructure, which includes distributed systems, abstractions, development tools, model hosting /serving/ inference pipelines
About You
- B.E./B.Tech in Computer Science/Computer Engineering
- 3-8 years of experience in software engineering & architecture
- At least 2 years of experience in designing and deploying Machine Learning Systems
- Strong skills with Python
- Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
- Experience in building Machine Learning models and experience using libraries such as scikit-learn, pandas, tensorflow, keras, etc.
- Experience in technologies like Spark, Hadoop, Kafka
- Take end-to-end ownership of Machine Learning systems -- from data pipelines and training to the realtime prediction engine
- Experience in setting up Data and ML Pipelines and ML engineering tools like MLFlow, Data Version Control
- Experience in building containerized applications/microservices using Docker and Kubernetes
- Experience in Agile Methodology, CI/CD, Jenkins, GIT & Jira
- Should possess strong problem-solving skills
- Excellent verbal and written communication skills
- You take complete ownership of your work and are self-driven
Our Environment
- AWS hosted infrastructure
- Linux
- Spark
- Python
If you share our passion for building the next generation of enterprise software, and deploying it for the most sophisticated customers in the world, you ve met your match. Headquartered in Mountain View, California, we're growing fast, with teams in Mountain View and San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune and Bangalore (India), Sydney (Australia) and Singapore. So join us, and let s build the future of work together!


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