C2C- Lead AI/ML Engineer – Frisco TX (Hybrid)

Contract

ML Engineer C2C jobs

Role: Lead AI/ML Engineer (20102-1)

Location: Frisco TX (Hybrid) (Local only)

Duration: 12+ Month

 

 

 

Mandatory Skills

     AI/ML Expertise: 5+ years of progressive experience in Artificial
Intelligence, Machine Learning, and Generative AI
     Programming Mastery: Python (5+ years), Keras (4+ years), Pandas (4+
years)
     ML Frameworks & Models: LangChain, GPT-3, GANs, Transformers (BERT,
T5), LLMs,LLMOps, RAG pipelines
     Time Series Forecasting: Advanced techniques including deep learning
models
     Databases : Vector databases, DynamoDB, Postgres

 

Optional Skills

     Expertise in Synthetic Data Generation and Model Augmentation
     Experience with Semi-Supervised and Self-Supervised Learning
Algorithms
     Proficiency in Cloud Platforms: AWS, Azure, GCP
     Performance Engineering for large-scale ML systems

 

Job Description as a Lead Python AI/ML Developer, you will be at the
forefront of defining and delivering complex AI-driven systems, driving
innovation, technical leadership, and execution excellence. You will
shape the AI/ML vision and guide the team in developing advanced,
scalable solutions using the latest Generative AI and LLM technologies.

 

Key Responsibilities

     Lead the design, architecture, and implementation of end-to-end
AI/ML solutions using Python, Keras, Pandas, and modern frameworks
     Spearhead initiatives around Generative AI and LLMs (e.g., GPT-3,
BERT, T5) to deliver intelligent, enterprise-grade systems
     Oversee the development of data pipelines and engineering
infrastructure using Kafka ,Big Data tools, ELK , Aurora DB
     Apply advanced techniques in Time Series Forecasting, Predictive
Analytics, and Deep Learning
     Mentor and lead AI/ML engineers and data scientists; define best
practices and ensure team productivity
     Collaborate with stakeholders to understand business requirements
and translate them into AI-powered solutions
     Drive PoCs, model validation, experimentation, and innovation across
Generative AI initiatives
     Deploy and optimize machine learning models in production
environments (AWS, Azure, GCP)
     Ensure the responsible and ethical use of AI through proper
governance, monitoring, and explainability practices
     Evaluate and integrate emerging AI technologies and recommend their
adoption where beneficial
     Contribute to strategic planning for AI roadmaps, tool selection,
and platform scalability

To apply for this job email your details to mayank@empowerprofessionals.com

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