Senior Data Scientist With PHD – Onsite Interview || and GCEAD and|| Ft. Worth TX - Hybrid

Role - Senior Data Scientist With PHD – Onsite Interview

Visa – and GCEAD and EAD

Glider Test required

Location - Ft. Worth TX 76155 - Hybrid

Candidate must be able to work onsite Tuesday- Thursday and virtual Mondays/Fridays.

Interview -  2 round interviews, the first one being virtual and the second in person.

Candidate must be able to work onsite 3 days week Tuesday - Thursday; Virtual on Mondays/Fridays.

There will be 3-4 round interviews. The first one being a screening, there will be 1-2 technical/coding interviews both virtual, a final in person interview

- The resource will be embedded within the team and support the Service Recovery Modernization initiative. - Take ownership of data preparation data pipelines design test and deployment of ML and Gen AI applications.

Description:

Minimum Qualifications – Education & Prior Job Experience

• PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
• Python proficiency (production-grade coding, modularization, testing, performance tuning)
• Hands on experience with building Gen AI applications – prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc.
• Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
• Depth of knowledge in statistical and machine learning techniques

Preferred qualifications – Education & Prior Job Experience

• Experience with Azure ML, Databricks
• Proficiency in SQL and working with data
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
• Practical experience designing, building and deploying machine learning models
• Domain knowledge in the airline industry
• Experience working in a consulting role

Skills, Licenses & Certifications

• Ability to effectively communicate both verbally and written with all levels within the organization
• Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving
• Ability to view data from different angles to employ feature engineering techniques to better represent models
• Ability to work on a diverse team with diverse skillsets

5-7 years of experience required

Top 3 Mandatory Skills and Experience:

-Proficient in Python
-Experience/knowledge on designing and implementing Gen AI applications- Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization

Nice to Have Skills:

- Microsoft Dynamics
- Prompt Engineering
- Proficiency in SQL and working with data
-Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
 
Describe a great candidate that you are looking for and what skills and experience they will have:
 

-    Has experience with LLMs and Agentic AI

-    Has experience building customer facing Gen AI applications; awareness on guardrails, privacy, cybersecurity concerns

-    Has proven experience taking ML models from prototype to production with Python and Azure ML; containerize where needed. 

-    Demonstrated strong skills in code optimization, debugging, and system integration.

-    Understands end-to-end ML lifecycle, including deployment and monitoring.

-    Is comfortable working with existing codebases and improving them, as well as building new ones from scratch. Clear communication and effective collaboration.

What is the team environment and structure like?:

Please share the candidates email address and the POC email address from the supplier to have the teams interview visibility.
-    ML/AI team supporting Contact Centers and Digital Customer Experience
-    Will collaborate with several team members
-    Collaborative, supportive, and high-performing culture
-    Strong focus on quality, innovation, scalability, and measurable revenue impact

How will the resource fit into your team?:

-    The resource will be embedded within the team and support the Service Recovery Modernization initiative. 
-    Take ownership of data preparation, data pipelines, design, test, and deployment of ML and Gen AI applications.

-    Collaborate closely with data scientists, data engineers, and product partners.
-    Accelerate delivery of scalable, production-ready AI solutions.

A Submission format – please complete in full:

First Middle Last Name

Bill rate:

Or Pay Rate:  

Skill Highlights- please indicate the # of years on each of the following skills:

• Python
• Experience/knowledge on designing and implementing Gen AI applications
• Experience with Machine Learning
• AI pipeline build, model deployment, orchestration, monitoring, and optimization

Preferred:

• Microsoft Dynamics
• Prompt Engineering
• Proficiency in SQL and working with data
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)

Mohit Joshi

Talent Acquisition Specialist

Aneka Talent Solutions - Somerset, NJ USA