Senior Data Engineer – Python / GenAI - W2 position
Syncreon Consulting Tampa, Florida, United States
Truck Transportation · 10,001+ employees
About the role
You will lead analytical efforts, manage deliverables in an agile environment, and coordinate with stakeholders to present findings. Additionally, you will develop, deploy, and monitor predictive and prescriptive models using machine learning and large language models.
What they look for
Requirements
Candidates must hold a master's or PhD in a quantitative field and possess at least 5 years of industry experience in data science. Proficiency in Python, SQL, Spark, and machine learning algorithms is required for this role.
Full description
Company Description
We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.
Job Description
Responsibilities
As a Data Scientist Lead, you will be involved in:
- Develop plans and coordinate with teams for all analytical efforts.
- Manage deliverables in an agile environment and maintain clear communication with all model stakeholders.
- Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.
- Data modelling and cleaning from internal and external sources.
- Build predictive and prescriptive models by manipulating and cleaning results.
- Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process.
- Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.
Qualifications
- PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
- 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
- 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
- Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
- Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
- Proficiency with tools and LLMs.
- Ability to work independently and collaboratively within a team.
Regards,
Mohammed ilyas,
PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com
Additional Information
All your information will be kept confidential according to EEO guidelines.
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