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About the role
As a Junior Backend Engineer at our early-stage startup, you will play a crucial role in maintaining and optimizing our data pipelines, deploying machine learning models, ensuring code quality, developing APIs, and managing CI/CD processes and monitoring tasks. If you have a passion for backend engineering and a strong knowledge of AI and ML ecosystems, this role offers you an exciting opportunity to grow in the field of MLOps. Key Responsibilities: - Data Pipeline Ownership: Maintain and optimize ETL pipelines to pull live data into staging databases. - ML Deployment (MLOps Support): Assist in containerizing PyTorch models and deploying them using Docker. - Code Quality: Refactor research code into clean, modular, production-ready Python. - API Development: Write and optimize backend endpoints to serve ML model inferences. - CI/CD & Monitoring: Manage Git workflows, maintain environment consistency, and monitor model performance and API latencies. Qualifications Required: - Experience: 2 years of professional software engineering experience in backend or data engineering. - Core Stack: Proficiency in Python and web framework development (FastAPI/Flask preferred). - Containerization: Hands-on experience with Dockerfiles and containerized applications. - Databases: Understanding of SQL (PostgreSQL) and NoSQL (MongoDB). - AI/ML Familiarity: Basic experience with PyTorch, Hugging Face pipelines, or LLM APIs. Bonus Points: - Experience with frontend frameworks like React/Next.js or building tools using Streamlit. - Basic knowledge of Agentic AI or Multi-Agent workflows. - Familiarity with AdTech APIs like Google Ads and Meta Ads. If you are looking for a role that offers direct mentorship, exposure to PyTorch, LLMs, MLOps, and cloud infrastructure, and a clear path to a full-time position, this opportunity in our startup might be the right fit for you. Join us in a dynamic environment where your contributions make an immediate impact. To apply for this position and be part of our fast-paced startup environment, please send your resume, salary expectations, references, and GitHub/LinkedIn/portfolio/personal website to sampark@kaalaghoda.com. As a Junior Backend Engineer at our early-stage startup, you will play a crucial role in maintaining and optimizing our data pipelines, deploying machine learning models, ensuring code quality, developing APIs, and managing CI/CD processes and monitoring tasks. If you have a passion for backend engineering and a strong knowledge of AI and ML ecosystems, this role offers you an exciting opportunity to grow in the field of MLOps. Key Responsibilities: - Data Pipeline Ownership: Maintain and optimize ETL pipelines to pull live data into staging databases. - ML Deployment (MLOps Support): Assist in containerizing PyTorch models and deploying them using Docker. - Code Quality: Refactor research code into clean, modular, production-ready Python. - API Development: Write and optimize backend endpoints to serve ML model inferences. - CI/CD & Monitoring: Manage Git workflows, maintain environment consistency, and monitor model performance and API latencies. Qualifications Required: - Experience: 2 years of professional software engineering experience in backend or data engineering. - Core Stack: Proficiency in Python and web framework development (FastAPI/Flask preferred). - Containerization: Hands-on experience with Dockerfiles and containerized applications. - Databases: Understanding of SQL (PostgreSQL) and NoSQL (MongoDB). - AI/ML Familiarity: Basic experience with PyTorch, Hugging Face pipelines, or LLM APIs. Bonus Points: - Experience with frontend frameworks like React/Next.js or building tools using Streamlit. - Basic knowledge of Agentic AI or Multi-Agent workflows. - Familiarity with AdTech APIs like Google Ads and Meta Ads. If you are looking for a role that offers direct mentorship, exposure to PyTorch, LLMs, MLOps, and cloud infrastructure, and a clear path to a full-time position, this opportunity in our startup might be the right fit for you. Join us in a dynamic environment where your contributions make an immediate impact. To apply for this position and be part of our fast-paced startup environment, please send your resume, salary expectations, references, and GitHub/LinkedIn/portfolio/personal website to sampark@kaalaghoda.com.
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