Tech Health Connect LLC - AI/Machine Learning Engineer Senior

AI Engineer is needed in Frisco, United States.

Client: Tech Health Connect LLC

Location: Frisco, TX

Contract: Temporary

Job Description

Position: Senior AI/ML Engineer

Location: Frisco TX / Atlanta GA (LOCALS ONLY)

Visa: GC/USC Only

Duration: 6 Months

Client & End Client: UST Global

Job Type: Temporary Assignment (W2)

Work Type: Onsite

Role Overview:

• Lead the design and deployment of scalable AI/ML solutions focused on real-time personalization, recommendation systems, and customer knowledge graphs, driving measurable improvements in engagement and conversion.

Key Responsibilities:

• Design and build collaborative, content-based, and hybrid recommendation systems.
• Develop real-time personalization pipelines and ranking models.
• Architect end-to-end ML systems (batch + streaming) with low-latency inference.
• Build customer knowledge graphs (Neo4j/Neptune) modeling users, products, and interactions.
• Enable Customer 360 insights and context-aware recommendations.
• Develop scalable pipelines using Python, Spark, Kafka.
• Implement feature engineering, model training, and deployment workflows.
• Drive experimentation (A/B testing) and optimize for CTR, engagement, and conversion.
• Ensure data quality, model performance, and system reliability.
• Apply MLOps practices (CI/CD, monitoring, model lifecycle management).
• Mentor team members and collaborate with product/business stakeholders.

Requirements

Required Skills:

• Strong Python and experience with Pandas, PySpark.
• Expertise in recommender systems (matrix factorization, deep learning, ranking models).
• Experience in entity resolution / record linkage.
• Hands-on with graph modeling & graph databases (Neo4j, RDF, graph embeddings).
• Strong understanding of ML lifecycle, experimentation, and evaluation metrics (NDCG, MAP, Precision/Recall).

Nice to Have:

• Experience with real-time ML systems and large-scale data (TB/PB).

Additional Information

Pay: $55.00 - $58.00 per hour

Application Question(s): Pre Screening of min 30-60mins

Work Location: In person