Candidate should be able to define the technical architecture, hands-on coder, and maintaining standards
Have good knowledge of Design Patterns
Solid experience working in complex and innovative R&D development environments;
Experience working in Agile process and result-oriented culture;
Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Skills:
Demonstrable robust Architecture, design, development, and collaboration skills gained in developing software product and data science solutions;
Creativity, motivation, and strong communication;
Demonstrated experience of leading, coaching, and mentoring a team
Practical time management skills for handling multiple projects and goals.
Superior written and oral communication skills;
Superior interpersonal skills, with a focus on rapport-building, listening, and questioning skills; and
Technical Skills
Python frameworks Django/Flask/Fast API
Strong in frontend technologies like ReactJs / NextJs / Vue.js projects.
HTML5, CSS, JavaScript - Good to have
Strong Hands-on Experience with SQL and NoSQL database
Knowledge of building and consuming REST API
Comfortable with cloud computing service (AWS/Azure or GCP preferred)