Serve as the lead AI & data strategist discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics machine learning (ML) deep learning (DL) natural-language processing (NLP) generative AI (GenAI) and agentic AI.
Partner with engineering to design build and harden production-grade data and AI products (e.g. RAG search LLM-powered assistants anomaly-detection services).
Run analytical experimentsclassification forecasting LLM fine-tuning prompt-engineering A/B teststo solve business problems across multiple domains.
Collect clean and enrich large structured semi-structured and unstructured datasets (text image audio sensor graph).
Design train and validate classical ML models DL architectures (CNN RNN Transformers) and instruction-tuned LLMs; measure drift and conduct error analysis to drive iterative improvement.
Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search function calling and tool invocation.
Document findings publish reusable components and mentor junior data scientists and ML engineers.
Qualifications :
Experience
10 years delivering data-driven solutions with demonstrable depth in at least two of: ML DL NLP GenAI agentic AI.
Hands-on proficiency in Python (pandas NumPy scikit-learn) DL frameworks (TensorFlow or PyTorch) and LLM / GenAI toolkits (Hugging Face Transformers LangChain/LangGraph Google ADK).
Proven track record in feature engineering pattern recognition predictive modeling and LLM fine-tuning / evaluation.
Experience optimizing GPU / TPU workloads and scaling distributed training or inference.
Familiarity with vector databases (FAISS Chroma Pinecone) and distributed data systems (Spark BigQuery Snowflake).
Skills
Ability to architect highly scalable fault-tolerant AI systems using open-source and cloud-native components.
Strong understanding of prompt design grounding external knowledge agent orchestration and chain-of-thought safety controls.
Comfortable working in fast-moving research-oriented teams with multiple concurrent projects.
Excellent problem-solving critical-thinking and communication abilities; capable of translating complex AI concepts into clear business value.
Education
Bachelors degree (or equivalent) in Computer Science Information Technology Data Science or another quantitative field.
Graduate degree or notable certifications in AI / ML / DL / NLP are a plus.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Sutherland is seeking an organized and reliable person to join us as Admin Specialist. We are a group of driven and supportive individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you ... View more