Urgent! Generative AI Engineer - RAG/Machine Learning Job Opening In Thiruvananthapuram – Now Hiring Mig Staffing
<p><p>We are looking for a Generative AI Expert with strong knowledge in Retrieval- Augmented Generation (RAG) and machine learning/deep learning (ML/DL).
You will work on building intelligent systems that combine large language models (LLMs) with document retrieval to generate accurate and context-aware responses.<br/><br/></p><p>Your role will involve developing and improving ML/DL models, fine-tuning LLMs, and integrating retrieval systems using vector databases.
Youll collaborate with cross- functional teams to build real-world AI solutions that make use of both unstructured data (like PDFs and web pages) and structured sources.</p><br/><p><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, build, and optimize RAG pipelines for document-level and multi-turn QA systems.<br/><br/></p><p>- Fine-tune or prompt-tune foundation models (LLMs) for domain-specific tasks.<br/><br/></p><p>- Develop and deploy ML/DL models to support NLP/NLU tasks like summarization, classification, and retrieval scoring.<br/><br/></p><p>- Integrate vector databases, semantic search tools, and embedding models for high-performance document retrieval.<br/><br/></p><p>- Work with unstructured and semi-structured data sources (PDFs, HTML, JSON, SQL, etc.).<br/><br/></p><p>- Collaborate with data engineers, ML engineers, and product teams to build end- to-end generative AI solutions.<br/><br/></p><p>- Monitor performance, latency, and relevance metrics; iterate on retrieval and generation models.<br/><br/></p><p>- Implement prompt engineering strategies and hybrid approaches (rule-based + neural) to enhance model reliability.<br/><br/></p><p>- Contribute to research and innovation in applied generative AI, and stay up-to- date with the latest in LLM, RAG, and MLOps ecosystems.</p><br/><p><b>Key Skills Required :</b></p><p><p><b><br/></b></p>- Strong experience with RAG architectures and hybrid retrieval systems.<br/><br/></p><p>- Solid hands-on knowledge of LLMs (e.g., GPT, Mistral, LLaMA, Claude, DeepSeek, etc.) and embedding models (e.g., SBERT, OpenAI, HuggingFace models).<br/><br/></p><p>- Proficiency in machine learning / deep learning using PyTorch, TensorFlow, Hugging Face Transformers, etc.<br/><br/></p><p>- Experience with vector databases (e.g., FAISS, Weaviate, Pinecone, Qdrant).<br/><br/></p><p>- Experience in text chunking, retrieval scoring, prompt tuning, or LoRA/PEFT methods.<br/><br/></p><p>- Strong background in NLP, information retrieval, and knowledge graphs is a plus.<br/><br/></p><p>- Comfortable with Python and associated data science stacks (Pandas, NumPy, Scikit-learn).<br/><br/></p><p>- Experience working with real-world messy data (PDF parsing, OCR, HTML scraping, etc.)</p><br/></p> (ref:hirist.tech)
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Unlock Your Generative AI Potential: Insight & Career Growth Guide
Real-time Generative AI Jobs Trends in Thiruvananthapuram, 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 Generative AI in Thiruvananthapuram, 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 114865 jobs in India and 955 jobs in Thiruvananthapuram. This comprehensive analysis highlights market share and opportunities for professionals in Generative AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Mig Staffing is currently hiring and seeking a Generative AI Engineer RAG/Machine Learning to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mig Staffing adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Generative AI Engineer RAG/Machine Learning Jobs India varies, but the pay scale is rated "Standard" in Thiruvananthapuram. 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 Generative AI Engineer RAG/Machine Learning 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 Generative AI Engineer RAG/Machine Learning interview at Mig Staffing, 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 Mig Staffing's products or services and be prepared to discuss how you can contribute to their success.
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