Senior Software Engineer - MLOps (6-9 yrs)

Role Overview

We are looking for a Senior Software Engineer to design, develop, and deploy scalable data-driven solutions. The role focuses on building real-world data analytics platforms, optimizing data pipelines, and implementing machine learning models for live data streams. The ideal candidate should have strong expertise in data engineering, MLOps, cloud infrastructure (AWS), and backend development frameworks.

Key Responsibilities :

- Data Engineering & Pipeline Development: Build and optimize ETL processes, data pipelines, and real-time data streaming solutions.

- ML Model Development & Deployment: Design and deploy scalable ML models and analytics services with seamless cloud integration.

- Cloud Infrastructure & DevOps: Work on AWS cloud services, CI/CD pipelines, and MLOps strategies for efficient production-level implementation.

- Backend Development & API Integration: Develop and manage FastAPI, Django, Flask, and Node .js-based backend services.

- Cross-Team Collaboration: Work closely with data scientists, engineers, and domain experts to deliver high-impact clean-energy solutions.

- Technical Leadership & Mentorship: Guide junior engineers, ensure best practices and drive innovation in data engineering and machine learning.

Skills & Expertise Required :

- Data Engineering & Real-Time Data Processing

- Experience with ETL, time-series databases, and large-scale data processing.

- Machine Learning & Deep Learning

- Hands-on experience with production-grade ML models, feature engineering, and data preprocessing.

- Cloud Infrastructure & DevOps (AWS, MLOps, CI/CD)

- Strong experience in cloud platforms, containerization, and deployment pipelines.

- Backend Development (FastAPI, Django, Flask, Node.js)

- Proficiency in developing, integrating, and deploying APIs for data services.

- Programming & Database Management (Python, SQL, MongoDB)

- Expertise in Python, SQL, time-series databases, and NoSQL solutions.

- Algorithm Development & Problem-Solving

- Strong understanding of data structures, statistical modelling, and optimization techniques.

Preferred Background :

- 6+ years of experience in data science, analytics, or engineering.

- Experience in clean-tech, AI-driven platforms, or real-time energy analytics is a plus.

- Prior work in IT product-based companies, Series A startups, or algorithm-driven trading platforms.

- Candidates from trading, algo-driven, LLM-based product development, or software application industries preferred.