AIML Consultant

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 23-10-2025

Vacancies: 1 Vacancy

Job Summary

Job Title: AI/ML Consultant

Location: Dallas or Austin TX (Hybrid 2 3 days onsite)

Mode: W2 only

Overview: We are seeking a highly skilled AI/ML Consultant to join our advanced analytics and data science team. This role is ideal for someone who thrives at the intersection of machine learning data engineering and business strategy. You will work with cross-functional teams to design develop and deploy AI/ML models and GenAI solutions that drive measurable business outcomes.

Key Responsibilities

Collaborate with business stakeholders to identify high-impact AI/ML use cases across domains (e.g. fraud detection personalization forecasting NLP).
Design and implement end-to-end ML pipelines: data ingestion feature engineering model training validation deployment and monitoring.
Develop and fine-tune models using scikit-learn XGBoost LightGBM TensorFlow PyTorch or Hugging Face Transformers.
Architect and deploy LLM-based solutions (e.g. RAG prompt engineering fine-tuning) using OpenAI Claude Cohere or open-source models.
Integrate models into production using MLOps tools like MLflow Kubeflow SageMaker Vertex AI or Azure ML.
Work with data engineers to ensure scalable data pipelines using Spark Databricks Snowflake or BigQuery.
Ensure compliance with model governance explainability and fairness standards (e.g. SHAP LIME AI Fairness 360).
Present findings and model insights to technical and non-technical stakeholders.

Required Skills

10 years of experience in machine learning data science or applied AI.
Strong programming skills in Python (Pandas NumPy Scikit-learn PyTorch TensorFlow).
Experience with LLMs and GenAI frameworks (LangChain RAG vector databases like FAISS Pinecone Weaviate).
Proficiency in SQL and working with large-scale data platforms (Snowflake Databricks Redshift).
Familiarity with cloud platforms: AWS Azure or GCP.
Experience with CI/CD for ML containerization (Docker) and orchestration (Airflow Kubernetes).
Strong understanding of statistics probability and optimization techniques.

Preferred Qualifications

Masters or Ph.D. in Computer Science Data Science Statistics or related field.
Experience in regulated industries (finance healthcare) with model risk management.

Certifications: AWS Certified Machine Learning Specialty Azure AI Engineer Associate or equivalent

Job Title: AI/ML Consultant Location: Dallas or Austin TX (Hybrid 2 3 days onsite) Mode: W2 only Overview: We are seeking a highly skilled AI/ML Consultant to join our advanced analytics and data science team. This role is ideal for someone who thrives at the intersection of machine learni...