Interesting Job Opportunity: Sciative Solutions

Job Responsibilities
• Hands on (Full Stack) Web application design and development concentrating on Artificial intelligence using big data technologies.
• Facilitate solution efficiencies, scalability and technology stack leadership.
• Ensure fool proof and robust applications through unit tests and other quality control measures. Follow an agile development process, and enable rapid solutions to business challenges.
• Take inputs from internal and external clients and constantly strive to improve solutions.
• Setup and following software design, development, testing and documentation best practices.
• Data engineering: Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness.
• Data analytics: Apply analytics and artificial intelligence techniques (using tool such as - but not limited to - Excel, SQL, Python, SAS, R, MATLAB, etc.) and extract valuable and actionable insights. Data processing and visualization: Summarize insights in a simple yet powerful charts, reports, slides, etc.
• Project operations: For internal and external client projects, use our proprietary tools for performing data engineering, analytics and visualization activities. Responsible for project deliveries, escalation, continuous improvement, and customer success.

Candidate Profile
• Strong knowledge of Python, Django, React, Flask, Flutter, Bootstrap, HTML,CSS, Javascript, SQL.
• Expertise in Full Stack Web Application development is required.
• Proficiency in software development: Conceptualizing, Designing, Coding, debugging.
• Prior Background in AI, ML, Deep Learning, Image processing and computer vision is preferred.
• Strong in algorithm design, database programming (RDBMS), and text analytics.
• Knowledge of MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, Kafka is preferred
• High problem-solving skills: able to logically breakdown problems into incremental milestones, prioritize high impact deliverables first, identify bottlenecks and work around them.
• Self-learner: highly curious, self-starter and can work with minimum supervision and guidance.
• Entrepreneurial mind set with a positive attitude is a must.
• Track record of excellence in academics or non-academic areas, with significant B.E / B.Tech in Computer Science / IT
• 4 to 6 years of relevant experience

(ref:hirist.tech)