Senior AI Engineer

Soothsayer Analyticsis a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning solutionsspanning predictive analytics, optimization, NLP, and GenAIthat help leading enterprises forecast, automate, and gain a competitive edge.

Join us to tacklehigh-impact, cross-industry projectswhere your ideas move rapidly from concept to production, shaping the future of data-driven decision-making.

Job Overview

We seek aSenior AI Scientistwith strongML fundamentalsanddata engineering expertiseto lead the development of scalable AI/LLM solutions. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices.

Key Responsibilities

1. AI/LLM Development:

• Fine-tune and optimize LLMs (e.g., GPT, Llama) and traditional ML models for production.
• Implement retrieval-augmented generation (RAG), vector databases, and orchestration tools (e.g., LangChain).

1. Data Engineering:

• Build scalable data pipelines for unstructured/text data (e.g., Spark, Kafka, Airflow).
• Optimize storage/retrieval for embeddings (e.g., pgvector, Pinecone).

1. MLOps & Deployment:

• Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes.
• Design CI/CD pipelines for LLM workflows (experiment tracking, monitoring).

1. Collaboration:

• Work with DevOps to optimize latency/cost trade-offs for LLM APIs.
• Mentor junior team members on ML engineering best practices.

Required Skills & Qualifications

• Education: MS/PhD in CS/AI/Data Science (or equivalent experience).
• Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects.