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