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Urgent! Sigmasoft - Generative AI Data Engineer Job Opening In Pune – Now Hiring Sigmasoft
<p><p><b>Role : Gen AI- Data Engineer</b><br/><br/><b>Key Responsibilities : </b></p><p><br/></p><p>- Architect and implement generative AI and LLM-powered applications using frameworks such as LangChain, LangSmith, LlamaIndex, AutoGen, and Semantic Kernel.<br/><br/></p><p>- Build scalable cloud-based solutions using Microsoft Azure AI Services , integrating with AWS (Boto3) and Google Cloud (Vertex AI).<br/><br/></p><p>- Design and optimize vector search and database solutions using Chroma DB, FAISS, Pinecone, Qdrant, Milvus, and Cosmos DB to </p><p>enable efficient information retrieval.<br/><br/></p><p>- Apply AI techniques including Retrieval-Augmented Generation (RAG), embedding generation, prompt engineering, fine-tuning LLMs, and Agentic AI approaches.<br/><br/></p><p>- Perform document and image processing using Python-based tools such as PyPDF, PyOCR, and OpenCV.<br/><br/></p><p>- Develop APIs and web applications to deploy AI models using frameworks like FastAPI, Flask, Streamlit, or Gradio.<br/><br/></p><p>- Collaborate with cross-functional teams to integrate AI models with visualization tools such as Power BI and Tableau for business insights.<br/><br/></p><p>- Continuously monitor, troubleshoot, and improve AI workflows to ensure robustness, scalability, and security.<br/><br/><b>Skills : </b></p><p><br/></p><p>- Proficient in Python programming, with experience in PyTorch, TensorFlow, and Hugging Face libraries.<br/><br/></p><p>- Hands-on experience with generative AI and LLM frameworks including LangChain, LangSmith, LlamaIndex, AutoGen, Semantic </p><p>Kernel.<br/><br/></p><p>- Skilled in cloud AI services such as Microsoft Azure AI Studio, Azure AI Search, Azure Cosmos DB, Azure Machine Learning, AWS </p><p>Boto3, and Google Cloud Vertex AI.<br/><br/></p><p>- Experience with vector databases and search technologies including Chroma DB, FAISS, Pinecone, Qdrant, Milvus, and Cosmos DB.<br/><br/></p><p>- Expertise in ETL pipeline design, data preprocessing, and managing multimodal workflows at scale.<br/><br/></p><p>- Knowledge of AI methodologies such as Retrieval-Augmented Generation (RAG), embedding techniques, prompt engineering, and </p><p>fine-tuning LLMs.<br/><br/></p><p>- Familiarity with document and image processing tools like PyPDF, PyOCR, and OpenCV.<br/><br/></p><p>- Ability to develop and deploy AI models through APIs and web frameworks such as FastAPI, Flask, Streamlit, or Gradio.<br/><br/></p><p>- Experience with data visualization tools like Power BI and Tableau is a plus.</p><br/></p> (ref:hirist.tech)
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Unlock Your Sigmasoft Generative Potential: Insight & Career Growth Guide
Real-time Sigmasoft Generative Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sigmasoft Generative in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 7232 jobs in India and 185 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Sigmasoft Generative roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Sigmasoft is currently hiring and seeking a Sigmasoft Generative AI Data Engineer to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Sigmasoft Generative AI Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sigmasoft Generative AI Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sigmasoft Generative AI Data Engineer interview at Sigmasoft, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sigmasoft's products or services and be prepared to discuss how you can contribute to their success.
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