Pre-Sales Data Leader
2 weeks ago
Pre-Sales Data Leader
We are looking for an enthusiastic AI/ML Architect to add to our Enterprise Automation Technology Office.
Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques.
They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The AI/ML architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.
You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements and serve as a technical expert in client communications.
On a typical day, you might expect to participate in design sessions, build statistical models for a machine learning algorithm, provision environments, coach junior resources, and manage technical logs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients.
WHO YOU ARE:
- Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions
- 5+ years of hands-on statistical modeling and/or analytical experience in and industry or consulting setting
- Master's degree in statistics, mathematics, computer science or related field
- Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)
- Advanced skillset building models and performing analysis using scripting languages (Python, R, Scala, Octave)
- Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
- Proficient in large-scale distributed systems (Hadoop, Spark, etc.)
- Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, , etc.)
- Passion for leading teams and providing both formal and informal mentorship
- Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity
- Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
- Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
- Stay current with AI/ML trends and research; be a thought leader in AI area
- Experience with implementing machine learning models in production environments through one or more cloud platforms: Azure cloud services, AWS cloud services
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Technical Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
RoboticsProcessAutomation Tool
PL1
Required
2
Blue Prism
PL1
Required
3
Automation Anywhere
PL1
Required
Domain Skills
SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.
1
Voice Network
NA
Required
Proficiency Legends
Proficiency Level
Generic Reference
PL1
The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2
The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3
The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4
The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
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