Agile Engineering Project Manager

Job Title : RPA UiPath Developer

Positions : 3

Experience : 5+ Years

Work Location : Bangalore (Hybrid)

Working Days : 5 Days

Key Requirements :

• 5+ Years of experience with UiPath RPA (Studio and Orchestrator) as an end-to-end automation developer.
• UiPath Professional Developer or Solutions Architect certification.
• Strong expertise in Agile project delivery methods and tools.
• Advanced skills in web scraping (e.g., Computer Vision, OCR) and API integrations.
• Excellent verbal, written, and presentation skills.
• Bachelor's degree in Computer Science, Information Systems, or equivalent.

Key Responsibilities :

• Collaborate with clients for requirement gathering and process analysis.
• Lead end-to-end RPA solution design, development, and delivery.
• Configure, test, and deploy integrations with internal and external databases.
• Develop and maintain documentation (e.g., PDD, SDD).
• Mentor junior developers and conduct code reviews.
• Ensure best practices (e.g., RE framework, naming conventions).
• Guide UiPath Orchestrator integration and deployment.
• Manage source code repositories (GIT) and REST API usage.
• Provide support for user testing, issue resolution, and customer relationship teams.

• Cold calling, Lead generation, Lead Capture, Lead qualification distribution.
• Construct Tele sales pitches On-line presentations.
• Maintain Sales funnel Track through sales calls process and follow-ups until deal closure.
• Develop and execute business plans to achieve and exceed monthly, quarterly, and/or annual sales goals as assigned.
• Grow business through the development of new leads, contacts, and clients.
• Identify new revenue opportunities and Lead generation.
• Build business relationships with current and potential clients.
• Execute, Maintain and update sales tasks activities in the official CRM software/application.
• Manage Sales pipelines, Deal funneling, prospecting, and closing opportunities into top accounts.
• Conduct calls with customers and prospects, provide effective presentations, written proposals to prospective customers.
• Maintain a thorough knowledge of products technology as well as industry trends.

Qualifications, Experience Skillset

• Masters/Bachelor s degree in Business Administration, or equivalent
• 1-2 years Inside Sales/tele-calling experience
• Exposure in IT Sales, Software sales or EdTech preferred.
• Well-verse with CRM tools, Digital/social media, web conferencing, etc.
• Intuitive and insightful, particularly in human behavior.
• Ability to generate revenue by identifying pain points and suggesting suitable products or services.
• Excellent written + verbal communication , Tele-calling skills convincing approach.
• Resourceful, with outstanding research skills.
• Must own a Laptop Smartphone.

We have the below active job vacancies open with a global aerospace brand in Bangalore (Hebbal) & (Devanahalli).

Java Full Stack Developer (Product) | 5-17 Y | Bangalore (Hebbal) | WFO | Locals Only | F2F Must |

Role: Java Full Stack Developer

Work Model: Hybrid - Working (2/3 days)

Mode Of Interview: F2F @ CV Raman Nagar & Hebbal - Office Site

Work Sites: Until March 2024 Hebbal & thereafter from Devanahalli

Key Skills: Java, Full Stack, Microservices, Springboot, Spring, JavaScript, HTML/CSS, Angular, Cloud (Azure or AWS), DevOps, Database

Levels: (All roles demands high technical expertise and Individual contributions)

Associate Software Engineer: 5 - 8 Yrs

Senior Java Full Stack Developer: 8 -12 Y

Lead Java Full Stack Developer: 12 - 17 Y

Prefer applicants from Aerospace, Consumer Tech Products & Electronics, Automotive, Unicorn, D2C Brands, who can join in short notice (30 Days).

If this role excites you, please apply here

• Identify, contact and engage prospective clients.
• Online ad sales.
• Make daily sales calls/presentations and bring revenue for the company. 
• Convert leads coming from the website.
• Create and implement strategies to seek out potential partners to promote our solutions.

Tailor and Circus is an online ecommerce brand, looking for full-time a Ruby on Rails Developer to work with the brand on cutting edge technologies combined with an ability to be innovative while creating solutions in a team environment.

Roles and Responsibilities

• Perform all phases of software engineering including requirements analysis, application design, architecture design, code development, deployment and testing.
• Design and implement product features in collaboration with business and internal stakeholders.
• Design reusable components, frameworks, and libraries.
• Work very closely with architecture groups and drive solutions.
• Participate in an Agile/Scrum methodology to deliver high-quality software releases every 2 weeks through Sprints.
• Design and develop innovative solutions to meet the needs of the business.
• Review code and provide feedback related to best practices and improving performance.
• Troubleshoot production support issues post-deployment and come up with solutions as required.

Desired Candidate Profile

• 1-3 yrs of experience with Rails 4 or 5 framework.
• Development and delivery experience with Ruby (1.9, 2.x); Rails (4 or 5).
• Good to have HTML, CSS, AJAX, jQuery and excellent JavaScript knowledge.
• Good ability to understand, discuss, design, develop, test, document, and troubleshoot an interactive AJAX enabled Rails application that uses REST, SOAP, SQL.
• Knowledge on AWS is requirement.
• Experience on Heroku, Azure would be an added advantage.,
• A knack for writing clean, readable Ruby code
• Ability to integrate multiple data sources and databases into one system
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools (e.g. Git, Mercurial or SVN)
• Familiarity with development aiding tools (such as Bower, Bundler, Rake, etc)
• Familiarity with continuous integration

Mandatory Requirements:

• Minimum 2-3 years coding experience on Ruby on Rails platform
• Experience in working with Ecommerce products

• Collaborate with engineers to gather user requirements.
  Use various ideation methods like brainstorming to solve the user’s needs to add value to the company.
• Create a cohesive style guide to ensure consistent design language is followed across the product.
• Showcase design ideas through sitemaps, storyboards, and process flows. Implement the latest design innovations to ensure that the product is in accordance with the cutting-edge technology.
• Define user task flows and interaction models. Conduct user research and create user Personas Conduct customer and competitor analysis. Create prototypes, wireframes, and mock-ups to demonstrate the functioning and layout of the product.
• Optimises UI designs and tests for intuitiveness and user-centeredness.  Conduct usability testing to identify gaps in design and see if they can be further improved.

Essential duties and responsibilities include the following.

• Design, create and maintain databases through multiple product lifecycle environments, from development to production systems
• Configure and maintain database servers and processes, monitor system health and performance, to ensure high levels of performance, availability, and security.
• Convert complex business requirements into technical specifcations to build scalable and reliable data solutions 
• Apply data modelling techniques to ensure development and implementation support efforts meet integration and performance expectations.
• Independently analyse, solve, and correct issues in real time on production, providing problem resolution end-to-end.
• Refine and automate regular processes, track issues, and document changes.
• Develop complex query, performance tuning, stored procedures and triggers, scheduled jobs, schema refinement.
• Flexibility to work after office hours for any production issue or production deployment.
• Perform scheduled maintenance and support release deployment activities after hours.
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.

Qualifications include:

• 4+ years of database and backend development experience
• Good understanding of database systems and architectures
• Expertise in writing complex SQL queries and stored procedures
• Hands on experience with RDBMS and NoSQL data stores like  MySQL and MongoDB
• Experience working with Python scripting and application development
• Experience working with Cloud applications and data stores like AWS RDS is a plus
• In-depth understanding of data management and ETL processes

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning