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Key Skills:
• Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, RDS, or DynamoDB ☁️
• Basic understanding of AI/ML concepts and experience with Python-based ML libraries (NumPy, Pandas, Scikit-learn, etc.) 🤖
• Experience in Python / Node.js / Java for backend development 💻
• Understanding of REST APIs and microservices architecture
• Familiarity with Git, CI/CD pipelines, and DevOps fundamentals
• Knowledge of Docker / containerization (preferred) 🐳
• Basic understanding of cloud security, IAM roles, and policies 🔐
• Experience in using AI tools (e.g., ChatGPT, GitHub Copilot, or similar tools) for development, debugging, documentation, and productivity in day-to-day tasks ⚡
Roles & Responsibilities:
• Develop and maintain cloud-based applications on AWS ☁️
• Build and integrate APIs and backend services
• Assist in deploying, monitoring, and managing applications on AWS infrastructure
• Work with the team to integrate AI/ML models or AI-powered services into applications 🤖
• Utilize AI tools for coding assistance, debugging, automation, and improving development efficiency
• Optimize applications for performance, scalability, and reliability
• Collaborate with cross-functional teams for design, development, and deployment
• Troubleshoot and resolve cloud or application-related issues
AWS Certification is mandatory
Education Qualification:
B.Tech/M.Tech from CSE/IT/AI/ML/ECE
About the Role:
We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.
Responsibilities:
- Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
- Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
- Evaluating model performance and improving precision/recall
- Adapting pre-trained models to domain-specific data
- Develop and maintain domain ontologies using tools like Protégé
- Refine ontology structure and concept hierarchy
- Document experiments and share insights with the engineering team
You Should Have:
- Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
- Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
- Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
Experience working with text datasets, even academic ones like CoNLL or OntoNotes
Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).
Role and Responsibilities
1 The primary job of the incumbent is to detail and document all customer impacting processes.
2 He/ She shall also be the domain expert on credit card management system and be the interface for system enhancements as well as testing the functionalities prior to release of those enhancements into production
3 Document all customer impacting processes.
4 Discuss with all stakeholders to lay out the processes for the organisation.
·
5 Discussion with stakeholders on business enhancements required on Credit Card management system and automation required on satellite systems/ End User computing systems.
6·Business Analysis for enhancements to the Credit Card Management System/ EUC systems.
'
7 Lead the UAT for Credit Card Management systems/ EUC systems.
8 Define and execute test cases for code and product changes pending implementation.
·
9 Research transactional data to identify anomalies and facilitate process improvement efforts.
·
10 Manage/ Control the overall process depository.
Qualifications and Education Requirements
SKILLS required
· Deep understanding of the Credit Card life cycle.
· Deep understanding of Credit Card Management systems (Cardpac, VisionPlus, Any )
· 2/3 years’ experience in a Credit Card Operations/ Service
· Highly organized with strong communication, problem-solving, documentation, and presentation skills.
· Bachelor’s degree preferred, but relevant years’ experience considered.
· Experience with use case development and testing coordination.
· Knowledge of process analysis and process efficiencies.
· Proficiency in Microsoft Word and Excel.
Responsibilities:
- Collaborate with cross-functional teams to define, design, and ship new features.
- Develop and maintain web applications using Angular
- Design, build, and maintain efficient, reusable, and reliable code.
- Ensure the best possible performance, quality, and responsiveness of the application.
- Identify and correct bottlenecks and fix bugs.
- Work with external data sources and APIs.
- Unit-test code for robustness, including edge cases, usability, and general reliability.
- Collaborate with other developers and stakeholders to ensure successful project completion.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 2+ years of experience in web application development using Angular.
- Strong knowledge of Angular 2+ and TypeScript.
- Experience with Angular Material and Bootstrap.
- Knowledge of relational database design and development using SQL Server.
- Familiarity with agile development methodologies.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with Entity Framework Core.
- Experience with Azure Cloud Services.
- Familiarity with unit testing frameworks such as NUnit and xUnit.
- Experience with source control management tools such as Git.
- Knowledge of CI/CD pipelines using Azure DevOps or similar tools.
Job Description: Graphic Designer (Video Editing and Motion Graphics)
Position: Graphic Designer
Location: Jaipur
Salary: 20k to 30 k
Role Overview: We are seeking a skilled Graphic Designer with expertise in Video Editing and Motion Graphics to join our team in Jaipur. As a Graphic Designer, you will be responsible for creating captivating video content, including promotional videos, product demos, and social media assets. Your role will also involve designing motion graphics elements and occasionally supporting graphic design tasks using CorelDRAW and Photoshop.
Responsibilities:
- Conceptualize and develop engaging video content, ensuring high-quality editing and seamless transitions.
- Create visually appealing motion graphics and animations to enhance video presentations.
- Collaborate with the creative team and stakeholders to deliver visually stunning solutions.
- Adhere to brand guidelines and maintain consistent brand representation in all video content.
- Occasionally assist with graphic design tasks for print materials and digital assets.
Requirements:
- 1 to 2 years of experience in video editing and motion graphics with a strong portfolio.
- Proficiency in Adobe Premiere Pro and After Effects for video editing and motion graphics.
- Working knowledge of CorelDRAW and Photoshop for graphic design tasks.
- Creative mindset with a keen eye for detail and visual aesthetics.
- Strong multitasking abilities and ability to meet project deadlines.
- Excellent communication skills to collaborate effectively with team members and stakeholders.
How to Apply: If you are a talented Graphic Designer specializing in Video Editing and Motion Graphics and wish to be part of an exciting team, please submit your updated resume and a link to your portfolio showcasing your best video editing and motion graphics work. Resumes with portfolios will be preferable, as they allow us to better assess your skills and creativity.
About us
At Lucidity, we are a year and a half old company and we work on helping large enterprises manage their cloud storage platform.
Our founders bring with them more than a decade of experience working with top tech Gaints in the world, building and selling large tech products from zero to one. We are seeing a lot of early traction and expanding aggresively.
We are a B2B product based startup building the next generation of storage orchestration system for cloud. We are hiring agressively across multiple roles and looking for passionate engineers to join a very young and energetic team at Lucidity.
What you'll do
Technology is at the heart of our organization. As part of the tech team you will
- Understand product requirements and brainstorm ways to address them.
- Build features from scratch and have complete ownership for it.
- Deliver efficient, reliable, scalable code with high automated test coverage.
- Contribute to team decisions in the overall architecture and practices of the company.
What you'll need
Must haves
- At least 1 year experience in a product based company.
- Experience working with distributed environments.
- Comfortable with at least one Object Oriented Programming language.
- Hands on with AWS or at least one other public cloud.
Good to have
- Experience handling highly scalable systems.
- Experience with at least one among C++, Java.
- Experience with docker and Kubernetes.
- Experience with Linux file systems.
Additional
- B Tech/M Tech in Computer Science or equivalent from a reputed college.
- Good problem solving skills.
- Deeply technical with a track record of successful delivery.
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 looking for a Data Engineer with 3-5 years experience in Python, SQL, AWS (EC2, S3, Elastic Beanstalk, API Gateway), and Java.
- The applicant must be able to perform Data Mapping (data type conversion, schema harmonization) using Python, SQL, and Java.
- The applicant must be familiar with and have programmed ETL interfaces (OAUTH, REST API, ODBC) using the same languages.
- The company is looking for someone who shows an eagerness to learn and who asks concise questions when communicating with teammates.












