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Indore · On-site · ₹6-11 LPA · 3-6 Yrs · Aug 12
51 to 200 Employees · Indore, India
Hiring: Engineering
What employees say
+ I’ve had a really good experience working here as a Senior Data Engineer. The team is supportive and friendly, and the work environment is comfortable and positive. I’ve had the op
− Workload can sometimes be challenging Some processes can be improved further
More reviews on the company profile.
Interview experience · Software Engineer
Very easy and difficult not moderated level simple q as well prepare basic terminology related to job title as well simple and normal questions and be confident during answer be prepared and allow yourself to ask questio
Easy difficulty · India · 5 reports
More interview insightsJob description
Overview
We are looking for an experienced Applied AI Engineer with 3+ years of hands-on experience in designing, developing, and deploying enterprise-grade AI/ML solutions in cloud environments.
Responsibilities
- Design, develop, and deploy enterprise AI/ML solutions for real-world business use cases.
- Build and integrate Generative AI and LLM-based applications using RAG, semantic search, and NLP techniques.
- Develop AI-powered solutions for summarization, classification, recommendations, and decision support.
- Develop and optimize machine learning models using Python, PyTorch, TensorFlow, Scikit-Learn, or similar frameworks.
- Work with LangChain and other LLM application frameworks to build AI-powered applications.
- Develop document intelligence solutions including document processing, information extraction, and intelligent search.
- Implement AI solutions using Azure AI Services, Azure OpenAI, Azure ML, Databricks, or equivalent cloud AI platforms.
- Apply MLOps practices, including model deployment, monitoring, evaluation, and lifecycle management.
- Ensure AI solutions follow responsible AI, security, scalability, and governance best practices.
- Collaborate with engineering, product, business, and other stakeholders to translate requirements into scalable AI solutions.
Qualifications
- 3+ years of experience in AI/ML development and enterprise AI solution delivery.
- Strong proficiency in Python.
- Hands-on experience with PyTorch, TensorFlow, Scikit-Learn, or similar ML frameworks.
- Strong knowledge of LLMs, Generative AI, RAG, NLP, and Semantic Search.
- Knowledge of MLOps, model monitoring, model evaluation, and responsible AI.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Knowledge of vector databases, embeddings, and prompt engineering.
- Understanding of cloud-native architecture and scalable AI systems.
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.
Benefits
- Provident Fund
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