Job Description

The role aims to leverage data analysis, engineering, and AI/ML techniques to drive strategic business decisions and innovations. This position is responsible for designing and implementing scalable data pipelines, developing innovative models, and managing cloud infrastructure to ensure efficient data processing and storage. The role also involves collaborating with cross-functional teams to translate business needs into technical solutions, mentoring junior team members, and staying abreast of the latest technological advancements. Effective communication, particularly in English, is essential to articulate complex insights and foster a collaborative environment. The ultimate goal is to enhance data-driven decision-making and maintain a competitive edge through continuous improvement and innovation.

Data and AI Specialist, Consulting role

Key Responsibilities:

Python developer experienced with Azure Cloud using Azure Data bricks for +

Data Science

: Create models and algorithms to analyze data and solve business problems
+

Application Architecture:

Knowledge of enterprise application integration and application design
+

Cloud Management

: Knowledge of hosting and supporting applications of Azure Cloud
+

Data Engineering

: Build and maintain systems to process and store data efficiently

Collaboration

: Work with different teams to understand their needs and provide data solutions. Share insights through reports and presentations

Research

: Keep up with the latest tech trends and improve existing models and systems

Mentorship

: Guide and support junior team members

Must have:

Python development in AI / ML and Data Analysis

: + Strong programming skills in Python or R, SQL
+ Proficiency in statistical analysis and machine learning techniques
+ Hands on experience in NLP and NLU
+ Experience with data visualization and reporting tools (e.g., Power BI)
+ Experience with Microsoft Power Platforms and SharePoint, including (e.g., Power Automate)
+ Hands on experience if using SharePoint for content management

Data Engineering

: + Expertise in designing and maintaining data pipelines and ETL processes
+ Experience with data storage solutions (e.g. Azure SQL)
+ Understanding of data quality and governance principles
+ Experience with Databricks for big data processing and analytics

Cloud Management

: + Proficiency in cloud platforms (e.g., Azure)
+ Knowledge of hosting and supporting applications of Azure Cloud
+ Knowledge of cloud security and compliance best practices

Collaboration and Communication

: + Experience in agile methodologies and project management tools (e.g., Jira)
+ Strong interpersonal and communication skills
+ Ability to translate complex technical concepts into business terms
+ Experience working in cross-functional teams
+

Excellent English communication skills

, both written and verbal

Research and Development

: + Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies
+ Experience in conducting research and improving model performance

Mentorship

: + Experience in guiding and mentoring junior team members
+ Ability to foster a collaborative and innovative team environment

Must exhibit following core behaviors

: + Taking ownership / accountability of the projects assigned
Qualifications
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Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields
?

7-9 years of relevant experience
?

Proficiency in Python, R, cloud platforms (Azure), and data visualization tools like Power BI
?

Advanced certifications and experience with big data technologies, real-time data processing
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Excellent English communication skills

Job Location

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