Urgent! Generative AI Engineer - Data Modeling Job Opening In Pune – Now Hiring Peoplefy
<p><p><b>Job Title : </b> Generative AI / Machine Learning Engineer<br/><br/><b>Location : </b> Pune, India<br/><br/><b>Experience Required : </b> 7+ years<br/><br/><b>Notice Period : </b> Immediate / Serving Notice</p><p><b><br/></b></p><p><b>About the Role :</b></p><p><p><b><br/></b></p>We are seeking a highly skilled Generative AI / Machine Learning Engineer to design, build, and deploy advanced AI solutions for real-world applications.
This role requires deep expertise in Machine Learning, Generative AI frameworks, and RAG (Retrieval Augmented Generation) pipelines, with the ability to integrate and scale these solutions into enterprise-grade Responsibilities :</b></p><p><b><br/></b></p><p><b>Model Development & Deployment :</b></p><p><br/></p><p>- Design, train, and deploy supervised and unsupervised ML models for large-scale </p><p>applications.</p><p><br/></p><p>- Build and optimize Generative AI pipelines (LLMs, RAG architectures, AI Agents).<br/><br/></p><p>- Implement scalable data preprocessing, feature engineering, and inference AI Applications :</b></p><p><p><b><br/></b></p>- Develop solutions using LLMs (OpenAI, LLaMA, Falcon, etc.) with fine-tuning and prompt engineering.<br/><br/></p><p>- Architect and implement RAG pipelines combining vector databases (e.g., Pinecone, Weaviate, FAISS) and LLMs for enterprise knowledge retrieval.<br/><br/></p><p>- Build and deploy AI Agents for automation, decision support, and conversational & Integration :</b></p><p><br/></p><p>- Write clean, production-grade Python code following best practices.</p><p><br/></p>- Integrate ML/GenAI solutions into existing enterprise systems, APIs, and applications.<br/><br/></p><p>- Collaborate with data engineers, product managers, and DevOps teams to deliver scalable AI & Cloud :</b></p><p><br/></p><p>- Use MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML) for experiment tracking, CI/CD, and deployment.</p><p><br/></p>- Deploy models on cloud platforms (AWS/GCP/Azure) with containerized workflows (Docker, Kubernetes).<br/><br/></p><p>- Optimize models for latency, scalability, and cost Skills & Qualifications Expertise :</b></p><p><br/></p><p>- Strong proficiency in Python and ML libraries : TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.</p><p><br/></p><p>- Deep understanding of ML algorithms (supervised, unsupervised, deep learning).<br/><br/></p><p>- Proven hands-on experience in Generative AI frameworks (LangChain, LlamaIndex, Haystack, RAG pipelines, AI Agent Knowledge :</b></p><p><br/></p><p>- Experience with vector databases (Pinecone, FAISS, Weaviate, Milvus).</p><p><br/></p>- Familiarity with LLM fine-tuning, embeddings, and prompt optimization.<br/><br/></p><p>- Strong foundation in data preprocessing, feature engineering, and model Skills :</b></p><p><br/></p><p>- MLOps exposure (CI/CD pipelines, model monitoring, drift detection).<br/><br/></p><p>- Cloud experience with AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML.<br/><br/></p><p>- Familiarity with API design, microservices architecture, and distributed :</b></p><p><br/></p><p>- Bachelors or Masters in Computer Science, Data Science, AI/ML, or related fields.</p><p><br/></p>- Certifications in AI/ML, Cloud, or Generative AI (preferred but not mandatory).</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 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 Generative AI 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 114865 jobs in India and 1703 jobs in Pune. 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! Peoplefy is currently hiring and seeking a Generative AI Engineer Data Modeling 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 Peoplefy adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Generative AI Engineer Data Modeling 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 Generative AI Engineer Data Modeling 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 Data Modeling interview at Peoplefy, 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 Peoplefy's products or services and be prepared to discuss how you can contribute to their success.
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