Immediate Opening for Data Engineer
Aspire Systems Digital Private Limited
Job Description
We are seeking a highly skilled Data & AI Engineer with expertise in Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), and Databricks. The ideal candidate will design, develop, and deploy scalable AI and data solutions that enable advanced analytics, intelligent automation, and AI-driven business outcomes.
Experience 5-15 Years
Key Responsibilities
Design, develop, and deploy end-to-end AI and Machine Learning solutions.
Build predictive analytics models for forecasting, classification, recommendation, and optimization use cases.
Develop and implement NLP solutions, including text analytics, document intelligence, sentiment analysis, and conversational AI.
Build Computer Vision solutions for image classification, object detection, OCR, and video analytics.
Develop and deploy Generative AI and LLM-based applications, including RAG, AI agents, and conversational assistants.
Design and implement scalable data pipelines and AI workflows using Databricks. Develop feature engineering pipelines, model training workflows, and model evaluation frameworks.
Implement MLOps practices for model deployment, monitoring, retraining, and governance.
Work with structured, semi-structured, and unstructured data from multiple sources. Collaborate with business, data engineering, and application teams to translate business
Experience 5-15 Years
Key Responsibilities
Design, develop, and deploy end-to-end AI and Machine Learning solutions.
Build predictive analytics models for forecasting, classification, recommendation, and optimization use cases.
Develop and implement NLP solutions, including text analytics, document intelligence, sentiment analysis, and conversational AI.
Build Computer Vision solutions for image classification, object detection, OCR, and video analytics.
Develop and deploy Generative AI and LLM-based applications, including RAG, AI agents, and conversational assistants.
Design and implement scalable data pipelines and AI workflows using Databricks. Develop feature engineering pipelines, model training workflows, and model evaluation frameworks.
Implement MLOps practices for model deployment, monitoring, retraining, and governance.
Work with structured, semi-structured, and unstructured data from multiple sources. Collaborate with business, data engineering, and application teams to translate business
If this opportunity aligns with your career goals, kindly share your updated resume with us at malavika.sabu@aspiresys.com
Send your resume to
malavika.sabu@aspiresys.com