Sr Advanced Software Engr

Core Technical Skills

• Strong programming expertise in Python (3.x) with frameworks like Django/FastAPI.
• Solid understanding of machine learning and deep learning frameworks (TensorFlow / PyTorch / Scikit-learn).
• Hands-on experience in AI/ML model development and deployment .
• Experience with microservices architecture and REST APIs .
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) .
• Familiarity with containerization and orchestration (Docker, Kubernetes) .
• Experience with CI/CD pipelines and DevOps practices .

AI/ML & Data Skills

• Knowledge of data engineering pipelines and feature engineering
• Experience with large datasets, distributed training, and scalable inference systems
• Exposure to GenAI, LLMs, and prompt engineering (preferred)
• Familiarity with MLOps tools and workflows

Architecture & Backend

• Strong understanding of distributed systems and scalable architecture
• Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, etc.)

Experience & Education

• 9–12 years of software engineering experience (Python + backend systems).
• Bachelor’s or Master’s degree in Computer Science / AI / ML / Engineering .
• Proven experience in building and deploying AI/ML solutions in production .

• Architect and develop end-to-end AI/ML pipelines including data ingestion, preprocessing, training, evaluation, and deployment.
• Design and build scalable, cloud-native backend services using Python (Django, FastAPI, etc.).
• Develop and deploy machine learning models (NLP, computer vision, predictive analytics, or GenAI use cases).
• Implement microservices-based architecture and define APIs for AI-enabled products.
• Drive MLOps practices including CI/CD pipelines, model versioning, monitoring, and retraining.
• Collaborate with data scientists, product managers, and DevOps teams to deliver end-to-end solutions.
• Optimize model performance, inference latency, and scalability for production systems.
• Lead system design discussions and ensure best practices in coding, testing, and documentation.
• Mentor junior engineers and contribute to technical leadership within the team.
• Stay updated with emerging technologies such as Generative AI, LLMs, and Agentic AI frameworks .