Job Title: Senior Architect - Data Scientist
Duration: 12 Months
Target Start Date: ASAP
Client highlighted ongoing talent constraints and shared the three-pillar profile prioritizing for hires:
- strong software engineering fundamentals
- strong understanding of the current technology landscape and how to apply tools strategically and
- strong critical-thinking skills.
Role Summary
The Senior Architect - Data Scientist will lead advanced analytics initiatives leveraging AI/ML Generative AI (GenAI) and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions collaborating with cross-functional teams and mentoring junior data scientists.
Key Responsibilities
- Design and implement advanced machine learning Gen-AI and Agentic AI based solutions.
- Apply GenAI and Agentic AI techniques to enhance decision-making workflows.
- Collaborate with sales and presales teams to craft proactive solution pitches for clients.
- Drive innovation in MLOps practices for scalable model deployment and monitoring.
- Conduct research on emerging AI technologies and integrate them into solutions.
- Mentor junior team members and foster a culture of continuous learning.
- Ensure compliance with AI governance and ethical standards.
Required Qualifications
- Bachelors or Masters or Ph.D. in Data Science Machine Learning or a related field.
- 6 years of experience in data science and AI/ML model development.
- Expertise in NLP deep learning and advanced ML frameworks (TensorFlow PyTorch).
- Hands-on experience with Generative AI and Agentic AI.
- Strong knowledge of cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
- Proficiency in Python and SQL; familiarity with MLOps tools (MLflow Kubeflow) and LLMOps tools (LangSmith LangFuse).
- Knowledge of Snowflake would be beneficial.
Core Competencies
- Strategic thinking and problem-solving.
- Excellent communication and stakeholder engagement skills.
- Ability to lead complex projects and deliver business impact.
Job Title: Senior Architect - Data Scientist Duration: 12 Months Target Start Date: ASAP Client highlighted ongoing talent constraints and shared the three-pillar profile prioritizing for hires: strong software engineering fundamentals strong understanding of the current technology landscape a...
Job Title: Senior Architect - Data Scientist
Duration: 12 Months
Target Start Date: ASAP
Client highlighted ongoing talent constraints and shared the three-pillar profile prioritizing for hires:
- strong software engineering fundamentals
- strong understanding of the current technology landscape and how to apply tools strategically and
- strong critical-thinking skills.
Role Summary
The Senior Architect - Data Scientist will lead advanced analytics initiatives leveraging AI/ML Generative AI (GenAI) and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions collaborating with cross-functional teams and mentoring junior data scientists.
Key Responsibilities
- Design and implement advanced machine learning Gen-AI and Agentic AI based solutions.
- Apply GenAI and Agentic AI techniques to enhance decision-making workflows.
- Collaborate with sales and presales teams to craft proactive solution pitches for clients.
- Drive innovation in MLOps practices for scalable model deployment and monitoring.
- Conduct research on emerging AI technologies and integrate them into solutions.
- Mentor junior team members and foster a culture of continuous learning.
- Ensure compliance with AI governance and ethical standards.
Required Qualifications
- Bachelors or Masters or Ph.D. in Data Science Machine Learning or a related field.
- 6 years of experience in data science and AI/ML model development.
- Expertise in NLP deep learning and advanced ML frameworks (TensorFlow PyTorch).
- Hands-on experience with Generative AI and Agentic AI.
- Strong knowledge of cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
- Proficiency in Python and SQL; familiarity with MLOps tools (MLflow Kubeflow) and LLMOps tools (LangSmith LangFuse).
- Knowledge of Snowflake would be beneficial.
Core Competencies
- Strategic thinking and problem-solving.
- Excellent communication and stakeholder engagement skills.
- Ability to lead complex projects and deliver business impact.
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