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- Perform complex and varied applications support. Build, maintain & modify within a large environment;
- Identify issues, evaluate possible solutions, and make recommendations on the most appropriate action
- Design, build, test, and document solution-specific information and perform related work as required.
- Demonstrate functional knowledge in relevant clinical applications (OE-PCS-PHA-EDM-ITS-RAD-LAB-MIC-BBK-PTH)
- Demonstrate functional knowledge in Clinical Documentation
- Must have hands-on build and troubleshooting experience
- Must be able to quickly identify and resolve complex system issues
- Must be able to build using technical specifications.
Basic Qualifications:
- Implementation and support experience within a MEDITECH Environment
- Bachelors Degree in business, Healthcare Administration, Communication, Marketing related field or equivalent and relevant work experience
Preferred Qualifications:
- Knowledge of ITIL Incident, Problem, and Change management,
- Working knowledge of Agile, Product and Project methodologies
We are seeking a highly skilled Angular Developer with 2-3 years of experience to join our dynamic development team. The ideal candidate should have hands-on experience in building and maintaining web applications using Angular, along with strong knowledge of JavaScript, TypeScript, and front-end technologies. You will work closely with other developers, designers, and backend teams to deliver high-quality, scalable applications.
Assist in the hiring and recruitment process while gaining insights into human resource management. This internship is ideal for those interested in HR operations and employee management.
Benefits:
● Practical HR experience in recruitment and onboarding
● Skill development in employee engagement
● Exposure to professional hiring practices
Key Responsibilities:
✔ Assist in screening and interviewing candidates
✔ Support onboarding and documentation processes
✔ Manage HR operations and employee coordination
Requirements:
● Pursuing or completed a degree in HR or a related field
● Strong communication and organizational skills
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Design systems independently with minimal interaction from the architects
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Lead a team of software developers to implement systems
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Continuously find ways to increase the quality of the code
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Liaising with team members, management, and clients to ensure projects are completed to
standard.
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Anticipates problems and future technical needs and takes necessary steps to address issues.
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Enthusiastically follow industry trends and developments
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Understands how various technology and tools work so that the team picks the right tool for the
job.
Requirements:
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Java Backend Engineer - Fintech Rocketship Pilot
Distributed systems, scalability, reliability, robustness, security, quality, building responsive real time systems - do these terms get your adrenaline high? Come be a part of a high growth, fast paced engineering team building for India’s new generation.
We have an open culture, you take responsibility and ownership of what you do. No bureaucracy. No bullsh*t.
If you are up for big engineering challenges, personal and professional growth, then let’s join forces!
You’ll fit right in if you have - 2-3 years of experience building, running and maintaining production services Strong with Java and JVM based services along with PostgreSQL Comfortable working with multiple cloud providers: mainly GCP and AWS Comfortable with CI and CD tools and best practices Done TDD and values TDD
Good to have –
Engineering aptitude - Owns small features, starting from technical design through completion. Appreciates and participates in technical discussions, and values guidance and feedback. Does not need mentoring on a daily basis; makes steady progress by themselves, and knows when to ask for help to get unblocked. Comfortable with referencing technical specifications, API references, source code, and man pages to understand concepts or solve issues.
Design process - Understands the role and importance of design, can write good backend specifications Can communicate API specifications and design goals to the end consumers API
Code reviews - Understands the value of peer-reviewed code; learns how to be unbiased and provide effective feedback. Asks senior engineers for help when needed (e.g.: architecture decisions, refactoring)
What you will do:
- Sourcing for the region (Maharashtra and Gujarat)
- Working closely with business development team and operations team to ensure the client expectations are properly met in terms of time and quality of sourcing
- Building and developing the required team to achieve the targets
- Driving efficiencies to maintain sourcing service levels and expanding margins of the region
- Building and implementing processes to increase the overall efficiency and reliability of the region
- Participating in cross-functional projects for high priority initiatives and bringing process and data- driven focused approach to support the organization's goals
- Driving change management to ensure efficient implementations of any new strategic change
- Collaborating closely with stakeholders like Operations, Finance, Product, Sales and New initiatives with the objective of driving stakeholder success
- Ensuring excellent customer and partner experience
Desired Candidate Profile
What you need to have:- Graduates from Tier 1/2 Engineering colleges/Post Graduate from Tier 1/2 Management colleges with good academic performance
- 4-8 years of frontline Operation/sourcing/channel management experience or P&L Management
- Strong leadership qualities to lead a large geographically spread team
- Ability to manage conflicts and good stakeholder management skills
- Multi-tasking capabilities and inter departmental coordination
- Product first mindset and relevant experience is a useful plus
- Experience in channel management in B2C space will be very useful

We are seeking a lead Python Developer to lead the backend efforts and, in the process design, develop, and deploy its customer centric applications.
The person will have the opportunity to design and build an early stage, rapidly evolving platform from scratch and carry out these primary responsibilities -
Optimize components for maximum performance across multiple devices and browsers
Write performant REST APIs for both internal and external consumption
Build micro services and their deployment process
Work with problems of scale, leveraging technologies that are distributed in nature.
Perform code reviews
Required qualifications and must have skills
Excellent analytical and problem-solving skills
Proven-deep-expertise with Python programming (4+ years of hands-on experience in Python and backend development)
Building performant and scalable applications from scratch
Experience in working with frameworks like Django, Flask, etc.
Experience with building APIs and services using REST, SOAP, etc.
Experience with any RDBMS and strong SQL knowledge
Comfortable with Unix / Linux command line
Object-oriented concepts & design patterns
Sytem and database desinging skills
Nice to have Skills
Knowledge of other programming languages beyond Python
Familiarity with managing infrastructure on AWS/GCloud
Experience with working with/building data analytics pipleline
Familiarity with NoSQL databases
Good understanding of Docker and container platforms like Mesos and Kubernetes
Security-first architecture approach
Application benchmarking and optimization
Interpersonal Attributes
You are driven by the impact your work creates
You can answer the why behind any technological choice you make
You can work independently as well as part of a team
Key Responsibilities
- There are two main responsibilities of the role:
- to increase the overall top line by increasing the application rate(optimizing the funnel)
- ensuring more users are retained post the first consumption cycle.
- Create and refine effective programs that leverage tenure and customer behaviour data, and include a mix of triggered and targeted campaigns.
- Identify key, measurable metrics for Customer lifecycle programs with a focus to test and scale rapidly.
- Create, implement and optimize daily/weekly/monthly campaigns and user journeys (retention and reactivation - both automated and not automated)
- Generate deep insights about customers that increase their retention, root-cause & predict churn and lead to inventing new ways to delight and retain customers. Will include conducting primary & secondary customer research through surveys and talking directly with customers.
- Experiment across the whole retention & re-activation funnel constantly looking for maximum impact on DAU (daily active users)
- Brainstorm new ways of segmenting potential customers and means of communication, leading to quick-test pilots with clear measurable outcomes

Our current stack is Scala/Angular and Python. The core backend is in Scala with a lot of machine learning components in Python and the MVPs have spark architecture.
Ideally some one who good at Front-end and would like to develop full-stack capabilities.







DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.