
AI Solutions Architect
23 hours ago
We are seeking a skilled professional to lead the design and implementation of intelligent solutions using machine learning, natural language processing, and large language models.
This role involves developing and deploying scalable systems on cloud-native platforms, leveraging advanced orchestration tools and MLOps frameworks.
The ideal candidate will have deep expertise in Machine Learning, NLP, or LLM-based systems, with a proven track record of designing and implementing successful projects.
Key Responsibilities:
- Design and implement ML/NLP/GenAI pipelines for automating business processes.
- Develop and deploy LLM-based solutions using top-tier tools and frameworks.
- Build and orchestrate Agentic AI systems to enable autonomous decision-making and task planning.
- Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
- Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
- Deploy AI models and microservices using cloud platforms.
- Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
Required Skills & Qualifications:
- 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
- Proven expertise with LLMs and LangChain / AutoGen / Agentic AI design.
- Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers.
- Strong knowledge of cloud computing – including Azure Cloud, AWS, Google Cloud.
- Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
- Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Experience deploying models into production-scale environments.
Benefits:
- Opportunity to lead GenAI and Agentic AI initiatives.
- Access to top-tier tools, frameworks, and cloud platforms.
- Remote flexibility and career growth in an innovation-first team.
- Impactful work transforming legacy operations through AI.
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