Data Scientist AI & Machine Learning (Snowflake, PySpark, RAN/O-RAN, Azure OpenAI)
Job Title : Data Scientist AI & Machine Learning (Snowflake, PySpark, RAN/O-RAN, Azure OpenAI)
Location: Middletown, NJ or Coppell, TX ( Hybrid)
Duration/Term: Long Term Contract
Job Description
We are seeking a Machine Learning Engineer with a minimum of 3 years of experience in developing and deploying machine learning and deep learning models. The ideal candidate will have hands-on experience with various machine learning and deep learning techniques, including decision trees, random forests, rule mining, clustering, PCA, support vector machines (SVM), ensemble techniques, neural networks, transformers, attention models, and transfer learning approaches. Additionally, the candidate should have strong expertise in working with Snowflake, Oracle, and Graph databases, as well as Python, R, PySpark, Unix Shell scripting, RAN/O-RAN and Azure OpenAI for AI-driven solutions.
Qualifications
Must-Have:
- Master’s degree (preferably PhD) in Electrical Engineering or Computer Science.(No prior industry experience is required for PhD candidates.)
- Expertise in RAN/O-RAN technologies and AI applications in telecom.
- Strong foundation in machine learning algorithms (Decision Trees, Random Forests, Rule Mining, Clustering, PCA, SVM, Ensemble techniques).
- Deep learning expertise, including neural networks, word embeddings, transformers, attention models, and transfer learning (ULMFiT, Azure OpenAI foundation models).
- Experience with Snowflake, Oracle, and Graph databases.
- Proficiency in Python, R, Unix Shell scripting, and PySpark.
- Proven experience or research in Generative AI (GenAI).
Nice-to-Have:
- Knowledge of telecom network optimization using AI/ML.
- Experience with edge computing and real-time AI inferencing.
- Familiarity with MLOps practices for deploying AI models in production.
Key Skills
Machine Learning, Deep Learning, Decision Trees, Clustering, PCA, Support Vector Machines, Ensemble Methods, Neural Networks, Transformers, Attention Models, Transfer Learning, Snowflake, Oracle, Graph Database, Python, R, PySpark, Unix Shell Scripting, Azure OpenAI, Cloud-Based AI Solutions, Model Optimization, Data Processing.
VDart Group, a global leader in technology, product, and talent management, empowers businesses with comprehensive solutions through our four distinct, industry leading business units With a diverse team of over 4,000 professionals across 13 countries, we deliver strong results across various industries, including Fortune 500 companies
Committed to "People, Purpose, Planet," we prioritize social responsibility and sustainability, as evidenced by our EcoVadis Bronze Medal Certification and participation in the UN Global Compact
Our dedication to delivering strong results has earned us recognition as a trusted advisor for businesses seeking to drive innovation and growth, including many Fortune 500 companies Join our network! Partner with VDart Group to leverage our global network, industry expertise, and proven track record with a diverse clientele
Job Title : Data Scientist AI & Machine Learning (Snowflake, PySpark, RAN/O-RAN, Azure OpenAI)
Location: Middletown, NJ or Coppell, TX ( Hybrid)
Duration/Term: Long Term Contract
Job Description
We are seeking a Machine Learning Engineer with a minimum of 3 years of experience in developing and deploying machine learning and deep learning models. The ideal candidate will have hands-on experience with various machine learning and deep learning techniques, including decision trees, random forests, rule mining, clustering, PCA, support vector machines (SVM), ensemble techniques, neural networks, transformers, attention models, and transfer learning approaches. Additionally, the candidate should have strong expertise in working with Snowflake, Oracle, and Graph databases, as well as Python, R, PySpark, Unix Shell scripting, RAN/O-RAN and Azure OpenAI for AI-driven solutions.
Qualifications
Must-Have:
- Master’s degree (preferably PhD) in Electrical Engineering or Computer Science.(No prior industry experience is required for PhD candidates.)
- Expertise in RAN/O-RAN technologies and AI applications in telecom.
- Strong foundation in machine learning algorithms (Decision Trees, Random Forests, Rule Mining, Clustering, PCA, SVM, Ensemble techniques).
- Deep learning expertise, including neural networks, word embeddings, transformers, attention models, and transfer learning (ULMFiT, Azure OpenAI foundation models).
- Experience with Snowflake, Oracle, and Graph databases.
- Proficiency in Python, R, Unix Shell scripting, and PySpark.
- Proven experience or research in Generative AI (GenAI).
Nice-to-Have:
- Knowledge of telecom network optimization using AI/ML.
- Experience with edge computing and real-time AI inferencing.
- Familiarity with MLOps practices for deploying AI models in production.
Key Skills
Machine Learning, Deep Learning, Decision Trees, Clustering, PCA, Support Vector Machines, Ensemble Methods, Neural Networks, Transformers, Attention Models, Transfer Learning, Snowflake, Oracle, Graph Database, Python, R, PySpark, Unix Shell Scripting, Azure OpenAI, Cloud-Based AI Solutions, Model Optimization, Data Processing.
VDart Group, a global leader in technology, product, and talent management, empowers businesses with comprehensive solutions through our four distinct, industry leading business units With a diverse team of over 4,000 professionals across 13 countries, we deliver strong results across various industries, including Fortune 500 companies
Committed to "People, Purpose, Planet," we prioritize social responsibility and sustainability, as evidenced by our EcoVadis Bronze Medal Certification and participation in the UN Global Compact
Our dedication to delivering strong results has earned us recognition as a trusted advisor for businesses seeking to drive innovation and growth, including many Fortune 500 companies Join our network! Partner with VDart Group to leverage our global network, industry expertise, and proven track record with a diverse clientele