Incedo Inc.
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Role Summary
We are seeking a highly skilled
Lead Data Scientist / Senior Machine Learning Engineer
to join our AI/ML and Advanced Analytics team. In this role, you will drive the development and deployment of cutting-edge machine learning, deep learning, and Generative AI solutions to solve complex business problems across Verizon’s business units. You’ll collaborate with cross-functional teams to deliver intelligent systems that scale, are responsible, and deliver measurable business impact. Key Responsibilities Design, develop, and deploy production-grade
machine learning and deep learning models
for predictive analytics, NLP, and computer vision use cases. Lead the research and application of
Generative AI (LLMs, diffusion models, multimodal models)
to build innovative solutions in customer service, marketing, network optimization, and operations. Collaborate with stakeholders to identify high-impact opportunities and formulate AI-driven strategies. Guide and mentor junior data scientists and engineers; set best practices in modeling, data engineering, and MLOps. Design and lead end-to-end
ML pipelines
using tools like TensorFlow, PyTorch, scikit-learn, MLflow, and Kubernetes. Optimize models for performance, explainability, and fairness. Stay up to date with state-of-the-art research in ML/AI and rapidly prototype solutions to test new ideas. Contribute to the company’s IP portfolio by publishing whitepapers or filing patents. Preferred Qualifications Master’s or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field. 7+ years of hands-on experience in machine learning, deep learning, or applied AI. Proven experience with
LLMs (e.g., GPT, LLaMA, Claude), Transformers, CNNs, RNNs , and
generative models
(e.g., GANs, VAEs). Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.). Familiarity with
cloud platforms (AWS/GCP/Azure)
and
ML Ops
tooling (Docker, Kubeflow, MLflow, Airflow). Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving skills, communication, and ability to translate business requirements into technical solutions. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Business Development Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Incedo Inc. by 2x Get notified about new Data Scientist jobs in
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Lead Data Scientist / Senior Machine Learning Engineer
to join our AI/ML and Advanced Analytics team. In this role, you will drive the development and deployment of cutting-edge machine learning, deep learning, and Generative AI solutions to solve complex business problems across Verizon’s business units. You’ll collaborate with cross-functional teams to deliver intelligent systems that scale, are responsible, and deliver measurable business impact. Key Responsibilities Design, develop, and deploy production-grade
machine learning and deep learning models
for predictive analytics, NLP, and computer vision use cases. Lead the research and application of
Generative AI (LLMs, diffusion models, multimodal models)
to build innovative solutions in customer service, marketing, network optimization, and operations. Collaborate with stakeholders to identify high-impact opportunities and formulate AI-driven strategies. Guide and mentor junior data scientists and engineers; set best practices in modeling, data engineering, and MLOps. Design and lead end-to-end
ML pipelines
using tools like TensorFlow, PyTorch, scikit-learn, MLflow, and Kubernetes. Optimize models for performance, explainability, and fairness. Stay up to date with state-of-the-art research in ML/AI and rapidly prototype solutions to test new ideas. Contribute to the company’s IP portfolio by publishing whitepapers or filing patents. Preferred Qualifications Master’s or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field. 7+ years of hands-on experience in machine learning, deep learning, or applied AI. Proven experience with
LLMs (e.g., GPT, LLaMA, Claude), Transformers, CNNs, RNNs , and
generative models
(e.g., GANs, VAEs). Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.). Familiarity with
cloud platforms (AWS/GCP/Azure)
and
ML Ops
tooling (Docker, Kubeflow, MLflow, Airflow). Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving skills, communication, and ability to translate business requirements into technical solutions. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Business Development Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Incedo Inc. by 2x Get notified about new Data Scientist jobs in
Dallas, TX . Dallas, TX $100,000.00-$145,000.00 3 days ago Plano, TX $106,400.00-$178,100.00 3 weeks ago Irving, TX $120,000.00-$150,000.00 3 weeks ago Applied AIML Data Scientist Lead-Vice President
Irving, TX $60,000.00-$80,000.00 1 week ago Experienced Software Engineer Java / Python (Full Stack or Back End)
Plano, TX $120,000.00-$180,000.00 3 weeks ago Data Scientist, Campus, United States - BCG X
Dallas, TX $110,000.00-$160,000.00 3 weeks ago Data Scientist - Gen AI, Databricks, Azure [Hybrid NYC Area or San Francisco]
Sr. Staff Data Scientist, Machine Learning
Dallas, TX $210,000.00-$280,000.00 3 days ago Plano, TX $99,461.00-$128,329.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr