Associate - Full Stack AI Developer

You are a strategic thinker passionate about driving solutions in AI oriented Full Stack development, you have found the right team.

As a Full Stack AI Developer - Associate in our MIS and Platforms team , you will spend each day defining, refining, and delivering set goals for our firm.

Job Responsibilities

• Scope, prioritize and co-ordinate activities with the product owners. Partner with product owners teams to identify strategic solutions.
• Identify key data sources that can make business impacts.
• Design and develop data mining queries from large data sets (Both Structured and Unstructured). Experienced in conversion of data into information.
• Demonstrate proficiency in application programming with AI skills.
• Employs scaling & automation to data preparation techniques.
• Transform business problems into solutions using application development utilizing AI technologies.
• Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills.

• Bachelor s Degree in, Data science Computer Science, or Engineering.
• Experience Required Minimum 5 years in full stack/application development with alteast 2 years in Data/AI related projects and self-starter, attention to details and results orientated, able to work under minimal guidance. Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Provides explanations and information to others on topics within area of expertise.
• Harness the power of Linux and Create Application Programming Interfaces (APIs) in Python and .net and integrate into web server tools such as Nginx, Uvicorn or similar tools.
• Create dynamic websites using the Model-View-Controller software design pattern, Django, jQuery, CSS, Bootstrap and Expert in developer tools such as GIT, Jupyter notebook, Cloud Foundry etc
• Ability to handle, clean, visualize and analyze big data and Support Data Scientist on solutions using NumPy, Pandas, Sklearn, Matplotlib, Seaborn etc
• Hands on experience with PySpark/PySQL stack. Experience on building data extraction pipelines and proficiency in data querying skills on SQL (Snowflake, Databricks)

Preferred qualifications, capabilities and skills.

• Different field of study, with significant professional experience in BI and Analytics Development, is acceptable.
• Good communication and analytical skills