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Job Description : The primary role of Tech Architect will be to lead technical architecture of high scalable and data computation heavy SaaS products for AI powered dynamic price optimization, including but not limited to: - Product performance : Ensure applications are scalable., fault tolerant, highly available, handle high degree of concurrency, deliver low latency, and perform AI tasks at massive scale (+1Billion data processing per day). - Tech architecture design : Lead end to end tech design of SaaS applications. - Project management : Work with other software and full stack developers and oversee that the developments are a) adhering to the tech design b) following the software development and documentation standards c) consistently of the highest quality. - Plan integrations : Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.) - Oversee data engineering : Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s) - AI and ML modules : Ensure seamless integrations of AI/ML modules at production scale. - App performance optimization : Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. - Product enhancements : Interact with client and business side teams to develop a roadmap for product enhancements. Candidate profile : - Entrepreneurial mind set with a positive attitude is a must. - Prior experience (minimum 5 years) in tech architecture designs of multi-tenant SaaS full stack application development. - Expert knowledge of new generation technologies is a must (e.g. Machine Queues, MSA architecture, PWA architecture, React, No-SQL, Serverless, Redis, Python, Django, SQL, Docker/Containers/Kubernetes, etc.). - Strong acumen in algorithmic problem solving. - Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. - Track record of excellence in academics or non-academic areas, with significant accomplishments. - Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications : - BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field - 5 - 7 years work experience.

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Sciative Solution - Technical Architect - SaaS Applications (5-7 yrs)

JOB DESCRIPTION : The primary role of Sr. Software Engineering Manager will be to lead a team of high calibre software and full stack engineers to develop amazing SaaS products for AI powered dynamic price optimization, including but not limited to : - Team management: Lead a team of high calibre software and full stack engineers. - Product development: Lead development of web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data processing per day). - Manage development sprints and processes : Follow an agile development process in the team; breakdown requirements into smaller chunks; plan out a road map for development, and prioritize items for each sprint. Ensure quality of work and timely deliveries. - Plan integrations : Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woo commerce ; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.). - Oversee data engineering : Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s). - AI and ML modules : Ensure seamless integrations of AI/ML modules at production scale. - App performance Optimization : Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. - Product enhancements : Interact with client and business side teams to develop a roadmap for product enhancements. Candidate profile : - Entrepreneurial mind set with a positive attitude is a must. - Prior experience (minimum 8 years) in multi-tenant SaaS full stack application development. - Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must. - Strong acumen in algorithmic problem solving. - Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. - Track record of excellence in academics or non-academic areas, with significant accomplishments. - Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications : - BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field. - 8 - 10 years work experience.

Sciactive Solutions - Senior Software Engineering Manager - Full Stack Development (8-10 yrs)

The primary role of Full Stack Scientist will be to carry out a variety of software/web-application development of Sciative's SaaS products for AI powered dynamic price optimization, including but not limited to: - Full stack development: Web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data processing per day). - Integrations: Develop API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.) - Data engineering: Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s). - AI and ML modelling: Develop or work collaboratively with the Data Science team and implement AI / ML models at production scale. - Performance optimization: Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. - Data visualizations: Work with client and business side teams to develop rich data visualizations, and design and implement decision workflows to achieve the business object - Agile development: Follow agile development processes to achieve impactful outcomes. Candidate profile - Entrepreneurial mind set with a positive attitude is a must. - Prior experience (minimum 2 years) in multi-tenant SaaS full stack application development. - Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must. - Strong acumen in algorithmic problem solving. - Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. - Track record of excellence in academics or non-academic areas, with significant accomplishments. - Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications - BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field - 3 to 5 years work experience

Sciative Solution - Full Stack Scientist - Machine Learning/Artificial Intelligence (3-5 yrs)

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 accomplishments. Qualifications - B.E / B.Tech in Computer Science / IT - 4 to 6 years of relevant experience

Navi Mumbai

Sciative Solutions - Software Development Engineer III - SaaS Applications (4-6 yrs)

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