Data Scientist AI/ML
Data Scientist AI/ML
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Job Description
Job Title: Data Scientist AI/ML
Location: Spring Field TX
Domain: IT Services
Long Term Contract
Looking for W2 Candidates. No C2C
Description:
- Strategic AI Leadership: Translate complex business challenges into clear actionable AI/ML strategies and comprehensive technical roadmaps ensuring alignment with organizational goals.
- Team Leadership & Mentorship: Guide mentor and develop a high-performing team of data scientists and machine learning engineers fostering a collaborative culture of innovation continuous learning and technical excellence.
- End-to-End Solution Delivery: Oversee the entire machine learning lifecycle from problem definition and data exploration to model design training validation deployment monitoring and ongoing optimization.
- Production Deployment: Lead the successful deployment of robust scalable and high-impact ML solutions into production environments ensuring they generate measurable and significant business value.
- Technical Excellence & Best Practices: Champion MLOps best practices ensuring robust model governance versioning testing and monitoring for all AI solutions.
- Technology Evaluation & Integration: Actively research evaluate and integrate new AI technologies frameworks (including Agentic frameworks) tools and cutting-edge research findings to maintain a competitive edge and drive innovation.
- Stakeholder Collaboration: Collaborate effectively with cross-functional teams including engineering product and business units to understand requirements manage expectations and ensure successful project delivery.
- Ethical AI Development: Apply a strong understanding of ethical AI principles fairness transparency and data privacy throughout the design development and deployment of all AI solutions.
Qualifications:
Experience: overall 12 years of experience and min 8 years of progressive experience in data science roles with a significant focus on leading AI/ML initiatives.
Technical Proficiency:
- Demonstrated proficiency in Agentic frameworks (e.g. Langgraph CrewAI) Python and SQL.
- Deep expertise in the end-to-end ML lifecycle including model design training validation deployment and monitoring.
- Proven experience deploying scalable ML solutions in production environments.
- Proficiency in major cloud platforms (e.g. AWS Azure Google Cloud Platform) for scalable AI solution development and deployment including relevant services (e.g. SageMaker Azure ML Vertex AI).
- Experience with Machine Learning Frameworks such as TensorFlow PyTorch and Scikit-learn.
- Familiarity with data processing and manipulation libraries/tools like Pandas and Apache Spark.
- Understanding of MLOps tools and practices (e.g. MLflow Kubeflow Docker Kubernetes) for model lifecycle management.
- Proficiency with version control systems particularly Git.
- Experience with both SQL and NoSQL databases.
- Familiarity with AI/ML specific tools and platforms such as OpenAI APIs and integration platforms like WSO2 for AI service orchestration.
Manoj K
Phone: 1-
Employment Type
Full-time
