Generative AI Engineer

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for a skilled MongoDB Database Administrator (DBA) to support and maintain client database systems within our services organization. The MongoDB DBA will be responsible for managing day-to-day database operations, ensuring optimal performance, security, and availability of database environments. This role requires working closely with clients, stakeholders, and teams to resolve issues, implement changes, and deliver database solutions that meet business and technical requirements.

Location - Onsite Navi Mumbai

Employment Type: Full-time

Key Responsibilities:

• Install, configure, and manage MongoDB EA on-premise databases for applications, ensuring high availability and optimal performance.
• Implement and maintain MongoDB database clusters, including replica sets and sharded clusters, ensuring data distribution and fault tolerance.
• Perform regular database performance tuning and optimization to maximize query efficiency and reduce response time.
• Implement backup and recovery strategies to ensure data availability and minimize downtime.
• Monitor and troubleshoot MongoDB database issues, including performance bottlenecks, query optimization, and replication problems.
• Execute and support version upgrades and migrations.
• Document database configurations,and troubleshooting steps to maintain a comprehensive knowledge base.
• Provide guidance and troubleshooting support on MongoDB
• Provide regular updates to stakeholders on issue status.

Requirements:

• Proven work experience as a MongoDB Database Administrator, with a focus on setting up and managing MongoDB databases.
• Strong understanding of MongoDB architecture, including replica sets, sharded clusters, and data distribution.
• Proficiency in MongoDB database performance tuning and optimization techniques.
• Experience with MongoDB backup and recovery strategies, including point-in-time recovery and disaster recovery procedures.
• Knowledge of MongoDB security features and best practices for securing MongoDB databases.
• Familiarity with MongoDB monitoring and diagnostic tools, such as MongoDB Cloud Manager, Ops Manager, or third-party solutions.
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve complex database issues.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• MongoDB certifications (e.g., MongoDB Certified DBA) are highly desirable.
• Bachelor’s degree in Computer Science, Business, or related field with 5+ years of relevant experience.

Job Role: Senior Cypress Testing Engineer

Location: Remote

Type: Full-time

Experience: 4+ years

Salary: Competitive, based on experience

Video Pre-Screen Interview Required... After submitting please also visit here to apply & start the initial video interview: https://app.xinterview.ai/direct_invite/1fedac2d-4cb7-4c33-a2b4-837c17c66fda

About Us

LendingWise is a fast-growing B2B SaaS platform serving the private lending industry with a robust CRM & LOS solution. Built on a custom PHP/MySQL stack with modern front-end technologies (HTML, JS, Bootstrap), we power 250+ customers across the U.S. and manage over $2.3M in ARR. We're scaling our engineering operations and looking for top-tier QA talent to join our distributed team.

What You'll Do

We’re looking for a Cypress Test Engineer to help us increase coverage of our end-to-end test suite across our core CRM & LOS platform. You will collaborate closely with developers, DevOps, and product managers to write automated tests, streamline quality checks, and contribute to our CI/CD workflows.

Key Responsibilities

Design, write, and maintain Cypress end-to-end test suites for core platform features.

Work with PHP developers to integrate testing into GitHub Actions-based CI/CD pipelines.

Assist with configuration and optimization of test environments using Docker containers.

Collaborate with DevOps and developers to integrate test stages into deepsource, PHPUnit, and other code quality tools.

Write test cases that cover user workflows across HTML/Bootstrap/JS interfaces.

Support debugging and analysis of failed tests, helping the team proactively identify regressions.

Recommend improvements to testing strategy and frameworks as the platform evolves.

Requirements

4+ years experience in automated testing with Cypress.

Strong understanding of end-to-end testing principles and frontend behavior validation.

Comfortable working with PHP, MySQL, and legacy codebases.

Familiarity with CI/CD tools like GitHub Actions, Docker, and PHPUnit.

Experience with deepsource or similar code quality and linting tools is a plus.

Strong ENGLISH communication skills and the ability to work independently in a remote environment.

Experience with web technologies such as JavaScript, HTML, and Bootstrap.

Nice to Have

Prior experience working in CRM or fintech product team.

Exposure to testing multi-tenant or enterprise applications.

Why Join LendingWise?

Work on a mission-critical platform used daily by lenders, brokers, and banks.

Fully remote team with flexible working hours.

Opportunity to make a real impact on quality and release reliability.

Collaborative, agile culture with modern tools and engineering practices.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Skyber is a fintech based in Mumbai, India and is building a connected commerce platform and disruptive Enterprise SaaS with the fundamental of digitalising, unifying and streamlining businesses processes and transactions.

At Skyber, we are obsessed with our vision to create an ecosystem for Micro, Small, and Medium-sized Business Owners & freelancers of Bharat where we provide them with a procurements to payments & enquiry to invoicing platform. Skyber was born out of the need to bring back the focus on these business owners, to empower them so that they can ride along with the technology wave and adopt the phigital way.

To build such a community we require people with the same vision who are working towards making this dream possible for us and for all these business owners.

Being a part of Skyber is like being a part of a Sports team. Where we back each other.  We know each other's strengths and weaknesses and work towards becoming better individuals and humans while working towards achieving this Dream together.

At Skyber, we believe that responsibility backed by right culture and ambitions backed by ability can move mountains. Thus, people don't get hired by us, but invited to join the cult. ⚡

Our flagship platform - Baazaar(https://baazaar.io">https://baazaar.io) is live on Play Store and iOS App Store 🚀

• Developing new user-facing features using React.j & Next.JS
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in HTML, CSS, SCSS & JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with React.JS
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

1. Working with a young & dynamic team that constantly tests your thinking and beliefs.
2. No specific work timings. We believe that your work should speak for you and not the time.
3. Constant amusement by Dot (Warning: Apply only if you like dogs) 🐶
4. Occasional doses of Yummy Home Cooked food😋
5. Homelike Work Environment (We also have a bed if you need to sleep - even though we think you wont get any)

If you like what we are doing, and possess the right skillsets and are willing to learn then what are you waiting for? Apply

Inside sales and marketing intern to make calls, follow-ups, set up appointments. E-mail

communication, mailing marketing materials, and corresponding packets to potential

customers. Required to create content, communicate online, and help to build a brand’s

reputation, with the ability to understand target audiences. Knowledge of how to best

communicate with potential and existing customers, provide verbal responses, to qualify the

individual communicating with essentials. Social Media posting.

IT Sales

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

Role and Skill of Physiotherapy

• Willingness to work for a Home Care environment.
• Need to focus on restoring physical function.
• Need to be sensitive to the patients' needs and disabilities and must have excellent communication and motivational skills.
• Create positive impact in the prevention of subsequent acute events and support the individual’s ability to live independently through targeted interventions aimed at improving balance, strength, coordination and function.
• Should personally also be physically fit enough to properly demonstrate the activities in their treatment plans and must possess strong organizational skills.
• Should possess either of the areas of expertise: pain management, sports injury management, paediatric therapy, post-operative therapy, arthritis management, neuro or posture correction.
• The conditions to be treated are back pain, neck pain, shoulder pain, knee pain, arthritic pain, slipped disc and any other kind of sprains.
• Creating an impact on overall patient experience by
  • Targeting the recovery of physical function of stroke patients through low risk activities resulting in high patient satisfaction.
  • Providing a service which reduces the risk for poor health outcomes, increases daily living and personal activity.