
Acuvate - Data Scientist & Generative AI Architect
2 days ago
Job Description Data Scientist (Generative AI & Agentic AI) & Gen AI Architects
Position : Data Scientist GenAI & Agentic AI.
Experience Required : 4+ years.
Location : Hyderabad Onsite.
Employment Type : Full-time.
About the Role :
We are looking for a highly skilled Data Scientist with strong expertise in Generative AI and Agentic AI to join our advanced analytics and AI team.
The ideal candidate will have hands-on experience building and deploying GenAI-powered solutions, designing autonomous AI agents, and applying cutting-edge AI research to solve complex business problems.
This role requires a strong foundation in data science, machine learning, and NLP, combined with practical experience in leveraging LLMs and agentic frameworks.
Key Responsibilities :
- Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, multi-modal models) for business use cases.
- Design and implement autonomous AI agents that can plan, reason, and execute multi-step tasks.
- Work with cross-functional teams to identify opportunities for GenAI/Agentic AI adoption in workflows, customer experience, and decision-making.
- Build data pipelines, APIs, and frameworks to integrate AI models into production systems.
- Experiment with prompt engineering, RAG (Retrieval Augmented Generation), and advanced orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack).
- Evaluate and benchmark model performance for scalability, efficiency, and ethical compliance.
- Stay updated on the latest AI research (LLMs, multi-agent systems, reinforcement learning, and reasoning models).
- Present technical solutions and recommendations to both technical and non-technical stakeholders.
Qualifications :
- Bachelors/Masters/PhD in Computer Science, Data Science, AI/ML, or related field.
- 4+ years of hands-on experience in Data Science/Machine Learning with at least 2+ years in Generative AI/LLMs.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
- Strong knowledge of NLP techniques, transformer architectures, and embeddings.
- Experience with LLM fine-tuning, RAG, prompt engineering, and agentic workflows.
- Familiarity with LangChain, Hugging Face, OpenAI API, Anthropic, or similar frameworks/models.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, research, and communication skills.
Preferred Skills :
- Experience with multi-agent systems and reinforcement learning.
- Knowledge of knowledge graphs, reasoning engines, or symbolic AI.
- Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).
- Experience with multi-modal AI (text, image, audio, video integration).
- Contributions to AI research papers, open-source projects, or community initiatives.
What We Offer :
- Opportunity to build next-generation AI solutions that transform business and customer experience.
- Collaborative environment with AI researchers, data scientists, and engineers.
- Access to cutting-edge AI tools, compute infrastructure, and learning resources.
- Competitive salary and benefits package.
- Career growth in an organization investing heavily in AI innovation.
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