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Quadance Technologies Pvt. Ltd.

1st Floor, Amstor House, Plot No. 5, Technopark Campus, Kazhakuttom, Trivandrum , 695581

Software Engineer ( AI/ML )

Closing Date:06,June 2025
Job Published: 23,Apr 2025

Brief Description

We're Hiring: AI/ML Engineer (3–5 Years Experience)

Location: Technopark, Thiruvananthapuram (WFO)
Experience: 3 to 5 Years
Type: Full-time

At Quadance Technologies, we're building AI-powered solutions that create real-world impact— across NLP, computer vision, and predictive analytics.

We’re looking for an AI/ML Engineer who’s ready to move beyond model notebooks and build robust, production-grade systems with us.


 What You'll Do

  • Design and implement end-to-end ML pipelines—from data ingestion to model deployment and monitoring.

  • Build, fine-tune, and scale machine learning models across NLP, computer vision, and predictive analytics.

  • Work on LLM-based architectures, including transformers, CNNs, and RNNs.

  • Use vector databases like FAISS, Pinecone, or Weaviate for semantic search applications.

  • Develop NLP workflows for tasks such as NER, summarization, QA, and conversational agents.

  • Implement CV models for use cases like object detection, OCR, and classification.

  • Collaborate closely with product and business teams to align ML solutions with business needs.

  • Deploy ML solutions using cloud platforms (AWS/GCP/Azure), and containerize using Docker/Kubernetes.

Preferred Skills

 Must-Have Skills

  • Solid understanding of ML concepts and hands-on experience building and deploying ML models.

  • Proficiency in Python, along with libraries such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.

  • Exposure to NLP or Computer Vision (experience in both is a plus).

  • Experience working with cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.)

  • Familiarity with CI/CD pipelines, Docker, or similar tools.


 Nice-to-Have Skills

  • Experience with LLMs, transformers, and vector search.

  • Knowledge of MLOps tools like MLflow, DVC, or Kubeflow.

  • Exposure to streaming data pipelines or real-time inference systems.