SculptSoft
Website:
sculptsoft.com
Job details:
Company Description
SculptSoft is an AI Software Development Company specializing in creating intelligent, scalable digital solutions powered by advanced Artificial Intelligence, Generative AI, and automation. With over 13 years of experience, we have successfully delivered impactful software to startups and enterprises across industries such as Healthcare, Fintech, Education, Real Estate, and more.
Role Description
This is a full-time, on-site role based in Ahmedabad for a Senior AI/ML Engineer. The role involves designing, developing, and deploying machine learning models and algorithms to solve complex business problems. Key responsibilities include working on pattern recognition, building and optimizing neural network architectures, and analyzing data sets to drive statistical insights. The engineer will collaborate with cross-functional teams to implement scalable and efficient AI-powered solutions, ensure the performance of algorithms, and stay up-to-date with emerging AI/ML trends and technologies.
Key Responsibilities:
● Advanced Machine Learning algorithms and end-to-end model development
● Deep Learning frameworks such as TensorFlow, PyTorch, or Keras
● Strong hands-on experience in Computer Vision (image classification, object detection, segmentation, OCR, video analytics, etc.)
● Experience in model training, fine-tuning, optimization, and deployment
● Strong understanding of CNNs, Transformers, and modern DL architectures
● Experience handling large datasets, preprocessing, feature engineering, and model evaluation
● Knowledge of MLOps practices, model monitoring, versioning, and deployment pipelines
● Strong proficiency in Python, NumPy, Pandas, OpenCV, and related ML ecosystem tools
● Experience with MongoDB / PostgreSQL, API integrations, and scalable backend deployment ● Exposure to cloud platforms (AWS/GCP/Azure) for ML workloads
Additionally, it would be good to have:
● Exposure to Generative AI and Agentic AI projects
● Experience working with LLM frameworks (LangChain, LlamaIndex, etc.)
● Understanding of RAG pipelines, vector databases, and LLM orchestration
● Experience building or contributing to AI-driven automation or intelligent agent workflows
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