Machine Learning Engr

39693BR
- INDIA - Bangalore

**Job Description and Requirements**

**Software Engineer - Artificial Intelligence**

The AI team is responsible for designing and developing the next generation Machine Learning and AI / Cloud architecture for our tools. Towards this end, we are looking for a software engineer with expertise in microservices architecture, containers, distributed systems, webservers fine-tuning, and API design who can help develop and deploy robust software components that meet our high-quality requirements both on-prem and in public cloud.

**Responsibilities**
- This role may span multiple tiers such as data management, backend services, visualization, and presentation, as well as APIs for the infrastructure.
- The Software Engineer is expected to exercise judgment in selecting methods and techniques to obtain solutions, and work on problems of diverse scope where analysis of situations or data requires evaluation of various factors.
- Can perform with little or no instructions on day-to-day work, and with occasional general instructions on new assignments and projects. Is able to work both independently and collaboratively. Provides regular updates to manager on project status.

**Requirements**:

- BS/MS EE/CS/CE with a minimum of 3+ years of experience developing large scale architectures and distributed systems
- Experience in microservices architecture based design and implementation
- Hands-on experience in one or more languages such as C/C++, Python, Java, JavaScript, XML, UML, JSON
- Experience with containerization, distributed computing, fault tolerance, throughput and latency tuning, CI/CD pipelines
- Experience in datastores (one or more of SQL, No-SQL, S3 object stores, columnar, time series, in memory, etc)
- Strong background in file systems, data structures, algorithms, performance, and scalability. Demonstrates good analysis and problem-solving skills
- Ability to work independently, and exceptional verbal/written communication, leadership, interpersonal, and teamwork skills are a must

**Desired skills**
- Experience in working in Data Engineering tools such as Kafka, Spark, Hive, HDFS, Airflow, MLFlow, Kubeflow, ActiveMQ, Prometheus, Grafana, Kibana, GUI Technologies (Angular, React, GWT)
- Experience in API design, security, Identity & Access Management
- Experience in working (configuring, deploying, managing, and monitoring) with AWS, GCP, and/or Microsoft Azure, experience with Terraform and/or Cloud Formation
- Experience in machine learning and deep learning, ML model versioning and deployment.
- Cloud certifications are a plus: AWS Solutions Architect, Cloud Security Certification, OpenStack Certification
- Solid understanding of storage platforms and leading technology vendors

Our Silicon Design & Verification business is all about building high-performance silicon chips—faster. We’re the world’s leading provider of solutions for designing and verifying advanced silicon chips. And we design the next-generation processes and models needed to manufacture those chips. We enable our customers to optimize chips for power, cost, and performance—eliminating months off their project schedules.

**At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.**
- Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability._

**Job Category**
- Engineering

**Country**
- India

**Job Subcategory**
- Machine Learning

**Hire Type**
- Employee