
Digital Marketing Executive
at A business and digital start-up company
It also helps startups to plan, build, and market their products (and also raise money in the process). Our team comprises people who co-founded a Venture Studio that worked on 5 startups in parallel across the business lifecycle from strategic planning to identifying and hiring co-founders, fundraising, product conceptualization and development, product marketing, milestone tracking, and investor reporting.
We work with most ventures in three specific areas:
- Business and Investment Planning involving strategic and team plans, financial projections, investment preparation (identification, introduction, decks and prep) Product Conceptualization, Design and delivery involving product strategy and roadmaps, information and tech architecture, wireframing and design
- Go-to-market planning and execution involving creation of marketing plans, design of brand and sales collateral, digital marketing and content marketing.
- The obvious benefit is access to virtual CXOs on day-zero without spending time on recruitment resulting in faster product development cycles and go-to-market plans.
Responsibilities:
- Thorough understanding of digital marketing fundamentals and hands-on experience with Google Adwords, Facebook, LinkedIn, and other popular platforms.
- Good knowledge and experience with online marketing tools and best practices for lead generation and performance marketing
- Excellent written communication and keyword research capabilities
- Should be able to prepare and manage a digital marketing plan and budget
- Oversee social media accounts and have hands-on experience with online reputation management tools
- Hands-on experience with Google Analytics and other analytical tools and have an understanding of webpage fundamentals and performance metrics

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Role & Responsibilities
You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly
You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs
Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production
Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs
Developing software in Rust
Maintaining and improving existing rust codebases.
Job Purpose:
The role entails the responsibility to be a part of IT Governance and Compliance Team of the bank and would be working towards GRC control function: Compliance & Regulatory reporting viz Cyber KRI, TRANCHE, ICAAP etc.
Roles & Responsibilities:
- Custodian of IT governance and IT process governance framework.
- Handling of Regulatory audits and submissions.
- To understand Indents from regulators, collated, review the data and timely submission.
- Responsible for IT policy creation, review, update, awareness, and monitoring.
- Administration of key IT processes: E.g., incident management, policy exception management
- Will be reporting to Lead IT Governance.
- Identify improvements and breakdowns in IT governance elements with significant business impact.
- Create and maintain library of governance artifacts and other supporting documentation.
- Proactively identify and manage risks/issues, ensure proper visibility and communication occur to senior management.
- Ensures compliance with all policies and procedures in the execution of technology projects.
- Provide guidance and trainings to Project team members in the field regarding IT governance.
- Capture and share best- practice knowledge amongst the team.
- Create an environment that promotes collaborative learning and collective ownership of responsibilities.
- Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities.
- Ability to work independently and collaborate effectively in a team environment.
Education Qualification (Fulltime):
Certified Chartered Accountant (CA)


The Role
We are looking for a tech enthusiast who can work with us to help further our product development with Augmented Reality to keep us ahead of the technology curve. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of computer vision systems building towards a high accuracy SLAM solution.
Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.
Some of the main responsibilities include:
-
Develop objectives and design research projects
- Design, build and maintain high performance, reusable and reliable code
- Work with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning.
Qualifications, Skills & Competencies
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Masters / Phd in Computer Science, Mathematics or relevant experience
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3+ years of experience in geometric computer vision, algorithms, SfM / SLAM, visual inertial odometry / 3D reconstruction / sensor fusion.
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Experience in Deep Learning for SLAM and related frameworks
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Experience in sensor fusion (IMU, camera) and in probabilistic filters- EKF, UKF
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Strong mathematical understanding - linear algebra, 3d-geometry, probability.
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Proficiency in programming - C++, python and knowledge of algorithms
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Proficiency in programming - C++, python and knowledge of algorithms
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Proven experience in product development (monocular SLAM, multi-view camera
calibration)
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Strong background in computer vision and ML/DL
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Experience in optimization of SLAM algorithms
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Comfort with communication and collaboration across teams. The ability to multitask, manage tasks with varying priorities and align with stakeholders.



Must Haves
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems.
- 4+ years’ work experience in software development
- BS degree or higher in Computer Science, Engineering or related field
- Understanding of operating system fundamentals (Linux)
- Understanding of scalable computing systems, software architecture, data structures, and algorithms
- Knowledge of professional software engineering best practices for the full software development life cycle
- Strong verbal and written communication skills
- Strong analytical skills, with excellent problem solving abilities
- Working experience with Kubernetes
- Experienced working with distributed databases at scale
Good to haves
- Experience in developing software using AWS native services & technologies.
- Experience taking a lead role in building and operating scalable distributed systems
- Experience in Agile/SCRUM enterprise-scale software development
- Familiar with building secure software using modern security principles
- Demonstrated ability to achieve goals in a highly innovative and fast-paced environment
Why us
We're hiring a set of highly skilled, enthusiastic, and passionate people who thrive in a high-growth environment. We believe the best way to grow is to give everyone the opportunity to pursue their interests. At Lucidity, you have complete freedom to work on projects that interest you. Plus, with benefits like flexible hours, company offsites, unlimited leaves, we ensure you enjoy the journey as much as we do. We are also offering healthy founding team ESOP's.


- Establish and maintain a trusted advisor relationship within the company’s IT, Commercial Digital Solutions, Functions, and Businesses you interact with
- Establish and maintain close working relationships with teams responsible for delivering solutions to the company’s businesses and functions
- Perform key management and thought leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
- Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
- Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support a project with knowledge of existing data assets and provide guidance on reusable data structures
- Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
- Utilize advanced data analysis, including statistical analysis and data mining techniques
- Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus
Basic Qualifications
- Overall 10+ years of IT Environment Experience.
- 3+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
- 3+ years in Azure Data Factory.
- 2 +azure data bricks, azure cosmos DB, multi-factor authentication, event hub, azure active directory, logic apps.
- 2+ years of hands-on experience with analytics deployment in the cloud (prefer Azure)
- 5+ years of delivering analytics in modern data architecture (Hadoop, Massively Parallel Processing Database Platforms, and Semantic Modeling)
- Demonstrable knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
- Demonstrable knowledge of and experience with different scripting languages (python, JavaScript, PIG, or object-oriented programming like Java or . NET)
Preferred Qualifications
- Bachelor’s degree in Computer Science, MIS, related field, or equivalent experience
- Experience working with solutions delivery teams using Agile/Scrum or similar methodologies
- 2+ years of experience designing solutions leveraging Microsoft Cortana Intelligence Suite of Products [Azure SQL, Azure SQL DW, Cosmos DB, HDInsight, DataBricks]
- Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Ability to work independently, establishing strategic objectives, project plans, and milestones
- Exceptional written, verbal & presentation skills



Role : UI Developer
Location: Bangalore, Karnataka, India
Experience:4+ years
Mandatory Skills: EXT JS, JavaScript, HTML5, CSS
Education and Skillset
ï‚· Engineering Graduate
ï‚· Strong hand-on knowledge on
ï‚· Web and mobile technologies: - EXT JS, JavaScript, HTML5, CSS
ï‚· REST APIs, JSON, JQuery
ï‚· Cross browser compatibility in UI development
ï‚· Exposure to open source UI component libraries
ï‚· Good experience on Angular is a big plus
Experience
ï‚· 5 + years of UI Development Experience
ï‚· Has implemented coding patterns and built UI framework
ï‚· Cross browsers support/experience and knowledge of DOM manipulation on different
browsers
ï‚· Performance enhancements on web page load and execution
ï‚· Experience with tools like Firebug.
ï‚· Good knowledge on Ajax, jsp etc.
ï‚· Good experience and knowledge of open source software and frameworks
ï‚· Good communication skills and ability to work under pressure
ï‚· Ability to work without close supervision
ï‚· Use responsive web design to create applications that automatically conform to multiple
screen sizes/devices.
ï‚· Excellent written and spoken English to be able to clearly communicate with various
stakeholders
ï‚· Experience in a software product-based organization is preferable
ï‚· Conduct usability testing to identify and fix UI issues
ï‚· Collaborate with business analyst to discuss user interface requirements and brainstorm
UI ideas.
Responsibility
ï‚· UI Developer- will be part of technical team for product development and customization
ï‚· Follow change management and change control processes
ï‚· Take ownership, research, follow up and resolve complex challenges faced by the team
across all phases of the development lifecycle
ï‚· Good, clean, maintainable coding practices
About the company:
It is a leading US-Based product development company established in 2004.
A global leader in providing digital solutions for trading and risk, supply chain management and financial services driven by cloud, blockchain, machine learning and analytics. The company has its best-of-breed solutions serve the entire trading value chain across agriculture, energy, metals and mining, and manufacturing markets. The cloud platform provides advanced analytics, one source of data and an automation engine, providing maximum flexibility and investment protection as business needs and market requirements change.
Why should you apply?
- Work in a fast-paced product-based organization.
- Get an opportunity to work with the core development team and enhance your technical skills.
- Scope to understand and work with the product team in depth.
- Opportunity to work in ETRM/CTRM domain- ahead of the innovation.
- They built a culture of inclusion and diversity from the 16 plus languages they speak to the 40% strong women workforce.
- They are always looking for their next set of passionate and innovative minds, who are unafraid to challenge the status quo.

Ideal Candidate Profile
- Strong grasp of computer science fundamentals and excellent problem-solving skills.
- Good understanding of software engineering practices, Data Structures & Algorithms.
- Solid programming skills in Java/Kotlin.
- Good communication skills.
- Strong sense of ownership and accountability.
- Experience in Reactive programming, Asynchronous programming and Unit Testing will be an added advantage.
- 6-10 years of experience in product driven organization.

As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.
Job Requirements :
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.


