IMAGE Placements

Chandapura, Bangalore

Serve as the engineering leader and technical expert in the software engineering team Lead a group of highly talented engineers to build platform components to power various microservices Create detailed engineering plans and ensure the team follows the stipulated guidelines Check and confirm the accuracy of the work performed and the methods used by engineering staff Conduct various tests and quality assurance checks to verify the quality of completed projects Monitor and determine various staffing and training needs Hire, train, and supervise engineering staff membersSpearhead various research and development initiatives to identify opportunities for new projects and improvedprocesses Monitor end-to-end architecture of Platform Lead High & Low-level design of critical components Mentor other Senior & Lead engineersEXPERTISE AND QUALIFICATIONSWhat will you need: Bachelor's or Master's Degree - preferably in Computer Science with 10+ years of experience Minimum 5+ years of hands-on experience building end to end critical applications Good experience in Product/Business and handling teams Expertise in Javascript technologies and libraries like ReactJS, NextJS, NodeJS etc Expertise in relational databases like MySQL, Postgres etc Expertise in Microservice, Data modelling, AWS, Messaging Expertise in building scalable & reliable systems Experience in messaging systems like AWS SQS/ RabbitMQ Good knowledge of caching, databases, data warehouses, distributed System Strong Communication Skills demonstrating the ability to present and explain ideas and concepts Passionate about testing strategy, problem-solving, learning new skills, sharing expertise and knowledge Strong work ethic and ownership mindset

Roles and responsibilities E2E technical lead for POD team for the entire SDLC which includes solutioning ,development, testing and productization Responsible for actual development key modules end to end along with other developers(this is a majority developer role along with technical architecture for module level) Help the fellow Incedo team members in technical decisions by providing viableapproaches Key in eliminating technical impediments to ensure successful delivery for individualmodules Strength in driving (self or with small team) successful delivery across each release withmodule team Responsible for ensuring code quality and standards in module delivery Closely work with Vz SME and Incedo Architect Involve in defining and grooming of Epics/Features/Stories and guide the decision oneffort (story points)Technical skills requirementsThe candidate must demonstrate proficiency in, JavaScript and its ecosystem. ReactJS (preferred), AngularJS Mastery of OOJS, JS library structure, JS library packaging, & JS library publishing. Demonstrated competency building web applications with bundling tools such asbrowserify or webpack. Prototype in HTML5, CSS3, and JavaScript. UI design architectures, including, but not limited to Event Sourcing, MVC, MVVM, etc. Comprehension of HTTP, RESTful, and web communication infrastructure. Test Driven Development mindset and expertise in automating and validating web UI. Linux operating system. Understanding and awareness of Secure software development lifecycle and webapplication vulnerabilities counter measures. CI and CD pipeline.Nice-to-have skills Python and Python web framework. SaaS application development experience is a great advantage. AWS experience is an advantage. Strong computer science fundamentals, and algorithms. Exposure on SQL Databases and NoSQL Databases. Knowledge of Cloud technolog

Responsibilities: Understanding business objectives and developing models that help to achieve them, alongwith metrics to track their progress Implementing data science prototypes by applying appropriate ML algorithms and tools Running hypothesis tests, performing statistical analysis, and interpreting test results Solving complex problems with multi-layered data sets, as well as optimizing existingmachine learning libraries and frameworks Analysing the ML algorithms that could be used to solve a given problem and ranking themby their success probability Documenting machine learning processes and keeping abreast of developments in machinelearning & ML-Ops Assessing, implementing & deploying cloud infrastructure, data pipelines to meet deadlinesand the business objectives while minimizing costs Deploying ML pipelines to production using CI/CD, and scaling ML algorithms to analysehuge volumes of historical data to make predictions in a batch or streaming environmentwhile meeting the required SLAs Consulting with client partners to assess their current ML-Ops maturity, answer anyquestions they may have, and design an ML-Ops strategy (roadmap, tech stack & associatednuances) to meet their requirementsSkills & Requirements: Bachelor's/ Masters degree in computer science, data science, mathematics, or a relatedfield At least 2-3 years' experience as a machine learning engineer Experience in deploying models on the cloud, and awareness of tools like Sagemaker, ML-Flow and other ML-Ops tools Advanced proficiency with Python & PySpark Extensive knowledge of ML frameworks, libraries, data structures, data modelling, andsoftware architecture. Knowledge of deep learning framework such as TensorFlow/PyTorchis a plus In-depth knowledge of mathematics, statistics, and algorithms Superb analytical and problem-solving abilities Great communication and collaboration skills Excel