Associate Software Engineer - AI Backend Developer

Devsinc is hiring an Associate AI Backend Engineer skilled in Python and eager to grow in Generative AI, Computer Vision, and Machine Learning. You'll work with senior engineers to train, fine-tune, and deploy AI models for real-world applications. The role requires hands-on experience in deploying and serving LLMs and ML models at scale and building cloud-hosted API endpoints on AWS, Azure, or GCP .

Key Responsibilities:

• Create backend APIs and implement server-side logic using FastAPI, Django, or Flask.
• Collaborate with the ML team to deploy new model versions, manage model routing, and optimize resource allocation.
• Assist in training and fine-tuning LLMs, Vision-Language Models, and Diffusion Models under senior guidance.
• Support Computer Vision tasks including object detection and image classification.
• Develop and maintain data preprocessing and ingestion pipelines for training and evaluation.
• Deploy and test AI models via APIs in containerized environments (Docker, Kubernetes).
• Contribute to MLOps workflows: experiment tracking, model versioning, and performance monitoring.
• Integrate pre-trained or third-party models (OpenAI, Hugging Face, etc.) into production systems.
• Stay updated with the latest tools, frameworks, and advancements in AI, Deep Learning, and Generative AI
  
  

Requirements

• Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field
• Experience: 06 to 12 Months (internship, freelance, or academic project experience in AI/ML)
• Strong foundation in Python, OOP, Algorithms, Git, CI/CD.
• Hands-on understanding of NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
• Good understanding of ML algorithms, preprocessing, and evaluation metrics.
• Exposure to model deployment concepts and workflows.
• Strong skills in Docker and basic understanding of Kubernetes.
• Familiarity with transformers, CNNs, diffusion models, and fine-tuning concepts.
• Basic knowledge of statistics, probability, and data analysis.
• Exposure to data visualization tools: Matplotlib, Seaborn, Plotly.
• Experience with REST APIs (FastAPI/Flask) and familiarity with cloud platforms (AWS, GCP, Azure) is preferred
• Collaborative - open to knowledge-sharing and teamwork
• Team Player - willing to support peers and contribute to collective success
• Growth Minded - eager to learn, improve, and adapt to emerging technologies
• Adaptable - flexible in dynamic, fast-paced environments
• Customer-Centric - focused on delivering solutions that create real business value