About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Here's the job details,
Data Scientist/GenAI Engineer
Location- Plano TX (On-site)
Duration: 18 months
Rate Range $45 hr W2 All Inc
Job Summary:
We are seeking a highly skilled Data Scientist with a strong foundation in Python, Machine Learning, and Generative AI to join a dynamic and innovative team. The ideal candidate will bring hands-on expertise in Natural Language Processing (NLP), Large Language Models (LLMs) (especially OpenAI), and advanced data analytics platforms such as Databricks and MongoDB.
This role requires a balance of technical excellence, creativity in developing AI solutions, and practical implementation skills to build and optimize intelligent systems at scale.
Key Responsibilities:
- Design, develop, and deploy LLM-based applications, with a focus on Generative AI and agent-based architectures.
- Implement and fine-tune Large Language Models, preferably using OpenAI APIs, for various enterprise use cases.
- Apply NLP techniques to extract, analyze, and interpret complex data from unstructured sources.
- Use supervised and unsupervised machine learning methods to generate insights and predictions from large-scale datasets.
- Build robust data pipelines and workflows using Python, Databricks, Spark, and PySpark.
- Leverage MongoDB and other NoSQL databases for data storage, retrieval, and manipulation.
- Evaluate model performance, especially LLM evaluation metrics, to ensure efficiency and effectiveness.
- Collaborate with full-stack developers and data engineers for seamless integration of ML models with MongoDB, SQL, React, and API-driven platforms.
- Stay current with advancements in AI/ML, and bring innovative solutions to enterprise data and AI services.
Required Skills and Qualifications:
- Strong proficiency in Python for data science, automation, and ML workflows.
- Expertise in Databricks, PySpark, and Spark for scalable data processing.
- Solid experience in MongoDB and other modern database technologies.
- Practical experience in Generative AI and building intelligent AI agents.
- Hands-on knowledge of Natural Language Processing techniques and tools.
- Proven track record of LLM tuning and customization, with a preference for OpenAI-based models.
- Familiarity with LLM evaluation methodologies and tools (specific to one role).
- Deep understanding of machine learning algorithms – both supervised and unsupervised.
- Excellent communication and collaboration skills for working in cross-functional teams.
Preferred Qualifications:
- Experience in telecom, enterprise AI, or large-scale data environments.
- Exposure to full-stack development (React, MongoDB) and API development.
- Familiarity with MLOps practices and CI/CD for ML model deployment
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.