The Senior Advanced Software Engineer will develop end-to-end machine learning pipelines, focusing on computer vision, deep learning, and Generative AI. Responsibilities include deployment, optimization, and mentoring junior staff.
We are seeking a highly skilled Senior Advanced Software Engineer with deep expertise in computer vision, deep learning, and generative AI (GenAI). This role requires end-to-end ownership of machine learning pipelines, from research and prototyping to deployment and scaling in production environments. The ideal candidate will have profound knowledge of full-stack ML deployment and a proven track record of building robust, scalable systems.
Responsibilities- Architect and develop end-to-end ML pipelines for computer vision, deep learning, and GenAI use cases.
- Design scalable solutions for data ingestion, preprocessing, training, evaluation, and deployment.
- Implement and maintain full-stack ML deployment frameworks across cloud and on-prem environments.
- Automate CI/CD workflows for ML models to ensure reproducibility and reliability.
- Monitor, troubleshoot, and optimize deployed models for performance, accuracy, and efficiency.
- Collaborate with cross-functional teams including data scientists, product managers, and DevOps engineers.
- Mentor junior engineers and contribute to technical knowledge sharing across the organization.
- Drive innovation by integrating emerging AI/ML technologies into production workflows.
- Optimize ML systems for large-scale data, distributed training, and high-throughput inference.
- Establish best practices for model versioning, monitoring, retraining, and lifecycle management
- Strong background in computer vision, deep learning, and GenAI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Expertise in end-to-end ML pipeline development (data engineering, model training, deployment, monitoring).
- Expertise in deploying ML models to Edge ( x86, arm64 architectures )
- Proficiency in cloud platforms (AWS, Azure, GCP) and containerization/orchestration (Docker, Kubernetes).
- Solid understanding of MLOps practices (CI/CD, model versioning, monitoring, retraining).
- Experience with full-stack ML deployment including APIs, microservices, and scalable inference systems.
- Strong programming skills in Python, C++/Java, and modern ML toolchains.
- Excellent problem-solving, communication, and leadership skills.
Preferred Qualifications
- Experience with distributed training frameworks (Horovod, DeepSpeed).
- Knowledge of edge deployment for computer vision models.
- Familiarity with data pipelines (Spark, Kafka, Airflow).
- Contributions to open-source ML/AI projects.
- B.Tech/ M.Tech with 8+ years of experience
Top Skills
AWS
Azure
C++
Computer Vision
Deep Learning
Docker
GCP
Generative Ai
Hugging Face
Java
Kubernetes
Python
PyTorch
TensorFlow
Similar Jobs
Aerospace • Security • Energy • Industrial
As an Advanced Software Engineer, you will design, develop, and maintain scalable web applications and APIs, optimize SQL databases, and deploy solutions on cloud platforms, while mentoring junior engineers and ensuring high-quality software delivery in an agile environment.
Top Skills:
.NetAngularAsp.Net CoreAzureC#DevOpsDockerReactSQL Server
Aerospace • Security • Energy • Industrial
As a Sr Advanced Software Engineer, lead Salesforce application development, drive Agile maturity, manage project staffing, and mentor team members. Deliver high-quality releases and collaborate with R&D and project managers for accurate estimates.
Top Skills:
Force.ComJavaLightning Web ComponentsRestfulSalesforceSelenium
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves handling cash accounts, preparing reports, processing journal entries, reconciling accounts, and managing financial data for reporting.
Top Skills:
Accounting SoftwareFinancial Reporting Tools
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
