Associate Software Engineer - AI/ML

Devsinc is looking for a motivated Associate AI/ML Engineer who wants to learn and 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 projects like chatbots, image generation, and recommendation tools.

Key Responsibilities:

• Assist in training and fine-tuning AI models (LLMs, Vision-Language Models, and Diffusion models) under senior guidance.
• Support the development of Computer Vision applications, including object detection, and image classification.
• Help design and maintain data preprocessing and ingestion pipelines for model training and evaluation.
• Participate in deploying and testing models via APIs (FastAPI, Flask) and containerized environments (Docker, Kubernetes).
• Contribute to MLOps tasks, experiment tracking, model versioning, and performance monitoring.
• Collaborate with the team to integrate pre-trained or third-party models (OpenAI, Hugging Face, etc.) into production use cases.
• Stay up to date with the latest tools and frameworks 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 programming and core libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
• Good understanding of ML algorithms, data preprocessing, and evaluation metrics.
• Familiarity with model training and fine-tuning concepts (transformers, CNNs, diffusion models, etc.).
• Basic knowledge of statistics, probability, and data analysis concepts.
• Exposure to data visualization tools such as Matplotlib, Seaborn, Plotly.
• Understanding of version control systems like Git/GitHub.
• Exposure to REST APIs, FastAPI, or Flask is a plus.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) 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