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Urgent! Ascendion - Generative AI Engineer - Python/RAG - Local Job Opening in Bengaluru

Ascendion Generative AI Engineer Python/RAG



Job description

<p><p><b>About the Role : </b><br/><br/><b>Job Title : </b> Gen AI Engineer<br/><br/><b>Work Location : </b> Bengaluru, Hyderabad, Chennai (hybrid work)<br/><br/><b>Description : </b><br/><br/>We are seeking a talented and motivated Senior-level Gen AI/AI Engineer to join our team.<br/><br/>In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures.<br/><br/>You will also contribute to the strategic direction of our AI initiatives by providing technical leadership, mentoring junior team members, and ensuring best practices in AI development.<br/><br/>You will work closely with cross-functional teams to bring cutting-edge AI products to market.<br/><br/><b>Key Responsibilities : </b><br/><br/><b>AI Strategy & Leadership : </b><br/><br/>- Provide technical guidance and thought leadership on generative AI technologies and their applications.<br/><br/>- Mentor and support junior engineers, promoting skill development and adherence to best practices.<br/><br/>- Collaborate with product leaders and stakeholders to shape AI-driven solutions aligned with business objectives.<br/><br/><b>Model Development and Fine-tuning : </b><br/><br/>- Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models.<br/><br/>- Implement techniques for model optimization, including quantization, pruning, and knowledge distillation.<br/><br/><b>RAG Architecture : </b><br/><br/>- Design and implement robust RAG architectures to enable efficient information retrieval and generation.<br/><br/>- Integrate diverse data sources and knowledge bases into RAG systems.<br/><br/>- Optimize query processing and response generation for optimal performance.<br/><br/><b>AI System Development : </b><br/><br/>- Build scalable and reliable AI systems, including APIs, microservices, and data pipelines.<br/><br/>- Collaborate with ML Ops engineers to deploy and manage AI models in production environments.<br/><br/>- Ensure adherence to security, compliance, and responsible AI practices.<br/><br/><b>Experimentation and Innovation : </b><br/><br/>- Stay up-to-date with the latest advancements in AI research and explore new techniques.<br/><br/>- Conduct experiments to improve model performance and system efficiency.<br/><br/>- Contribute to a culture of innovation and continuous learning.<br/><br/><b>Qualifications and Experience : </b><br/><br/>- Bachelor's degree in Computer Science, Computer Engineering, or a related field (Masters degree preferred).<br/><br/>- 6+ years of experience in AI/ML, with a strong focus on generative AI and RAG architectures.<br/><br/>- Proven experience in leading or contributing to complex AI projects from ideation to deployment.<br/><br/>- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.<br/><br/>- Strong and demonstrable skills in GenAI technologies, such as OpenAI, Anthropic, or Llama.<br/><br/>- Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques.<br/><br/>- Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.<br/><br/>- Familiarity with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).<br/><br/>- Excellent communication, problem-solving, and stakeholder management skills.<br/><br/>- Ability to balance research-oriented exploration with practical engineering execution.<br/></p><br/></p> (ref:hirist.tech)


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