Associate Director
Associate Director
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Company Overview
Incedo is a US-based consulting data science and technology services firm with over 3000 people helping clients
from our six offices across US Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering data science and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom Banking Wealth Management product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations deep
technology and domain experts and global teams. Incedo University our learning platform provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description
- Advanced AI and GenAI for Problem Discovery RCA and Action Recommendation: Lead the data scientists in hands-on mode developing and deploying advanced machine learning models including anomaly detection predictive analytics causal inferencing and action recommendation models to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios
- Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery translating complex data patterns and root cause findings into actionable natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights.
- Reference Architectures: Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time.
- Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality integrity and accessibility for model training and inference.
- Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements.
- Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers
- Pre-sales: Support pre-sales marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements.
Technical Skills
- In-depth conceptual understanding of Statistics Classical Machine Learning Deep Learning and GenAI
- Able to understand the nuances of business problems in various domains quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models
- Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc.
- Experience in leveraging open-source LLMs and prompt engineering and RAG based SLM model development
- Hands-on with excellent ML programming skills in Python using open-source libraries
Nice-to-have skills
Qualifications
- Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies
- 14-16 years of Machine Learning model development and application experience
- Experience in building cloud-based products that implement ML modelling as a service would be ideal
Company Value
We value diversity at Incedo. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.
Required Experience:
Director
Employment Type
Full Time
