Business Analyst

We have opening for Inside Sales Engineer for a Manufacturing company in Vikhroli Mumbai

Job Requirement :

Experience of 4-6 years as Sales Engineer / Fresher with Degree or Diploma in Mechanical can apply

Job Role:

Provide pre-sales technical assistance and product education to customers.Respond to inquiries and resolve issues promptly to ensure customer satisfaction.Collaborate with the sales team to develop and implement effective sales strategies.Identify opportunities for upselling and cross-selling our products and services.Utilize engineering knowledge to understand customer needs and recommend suitableproducts or solutions. Conduct product demonstrations and technical presentations.Prepare and deliver accurate and competitive sales quotations, proposals, andcontracts. Ensure all customer communications are clear, professional, and effective.Build and maintain strong relationships with existing and potential customers. Act asthe primary point of contact for customer inquiries and follow up on leads.Work closely with the engineering, marketing, and manufacturing, accounts andlogistics teams to ensure alignment between customer needs and product offerings.Track and report on sales activities, including lead generation, customer interactions,and sales performance. Provide regular updates to senior management.

🚀 Hiring: React Native Developer at Deqode

⭐ Experience: 4+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore, Chennai, Kolkata

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for a skilled React Native Developer to build and maintain high-quality mobile applications across Android, iOS, and tablet platforms. You’ll work closely with product, design, and backend teams to deliver scalable, high-performance mobile solutions.

🔧 Key Skills & Experience

• 4–7 years of hands-on React Native development
• Strong JavaScript & TypeScript expertise
• Experience delivering multiple production mobile apps
• CI/CD, app signing, and store releases (Play Store & App Store)
• Testing with Jest, Detox, Storybook
• REST APIs, OAuth/SSO, Push Notifications, Firebase Analytics
• Performance optimization & debugging skills

🤝 What We Look For

• Strong communication & collaboration skills
• Ownership mindset and problem-solving attitude
• Ability to build responsive UI and handle complex business logic

⚠️ Important

• Immediate joiners only
• Notice period beyond 15 days not considered

Designation: Technical Recruiter

Location: Indore (M. P.)

Duration : Full time

Roles and Responsibilities

• Should have experience of various job portal like Naukri.com, LinkedIn, Monster etc.
• Should have min 6 month  - 5  yrs. of experience in in -house / international recruitment.
• Sound understanding of all technology like ROR, React JS,  Java, .Net, PHP, Python, Android / Mobile development etc.
• Must be excellent in communication skills oral and written.

About RapidClaims RapidClaims is a leader in AI-driven revenue cycle management, transforming medical coding and revenue operations with cutting-edge technology. The company has raised $11 million in total funding from top investors, including Accel and Together Fund. Join us as we scale a cloud-native platform that runs transformer-based Large Language Models rigorously fine-tuned on millions of clinical notes and claims every month. You’ll engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at lightning speed, deliver reimbursement insights with sub-second latency and >99 % accuracy, and tackle the deep-domain challenges that make clinical AI one of the hardest—and most rewarding—problems in tech. Technical Program Manager- Job Overview As a Technical Program Manager (TPM) at RapidClaims, you will play a pivotal role in driving cross-functional execution of large-scale technical initiatives. You will partner with engineering, product, and operations teams to design, plan, and deliver mission-critical programs that power our AI-driven revenue cycle management platform. This role requires a balance of strong technical depth, program management expertise, and exceptional communication skills to ensure seamless alignment across teams and stakeholders. Role Definition: The Technical Program Manager will own the end-to-end planning and execution of high-impact technical programs. This includes roadmap alignment, tracking deliverables, managing risks, and ensuring projects are executed with speed, quality, and efficiency. We’re looking for someone who thrives in dynamic environments, can translate business goals into technical execution plans, and is passionate about building scalable systems that redefine healthcare AI. Location: Bangalore, India (On-site) Experience Requirement: 2–4 years of experience in technical program management, project management, or engineering leadership, ideally in SaaS, AI/ML, or high-growth tech startups. Key Responsibilities: ● Drive end-to-end execution of complex technical programs, ensuring on-time delivery and alignment with company goals. ● Collaborate with product managers, engineers, and business stakeholders to define requirements, scope, and success metrics. ● Create and manage program roadmaps, breaking down initiatives into executable milestones. ● Identify risks, dependencies, and blockers, and proactively drive resolution to maintain delivery momentum. ● Establish and standardize program management processes, tools, and best practices for scalability. ● Track progress and communicate updates clearly through reports, dashboards, and executive reviews. ● Foster cross-functional collaboration and act as the bridge between technical and business teams. ● Partner with engineering leads to improve sprint planning, capacity management, and release coordination. Qualification: ● Experience: 2-4 years in program management, preferably within SaaS, AI/ML, or healthcare tech environments. ● Technical Understanding: Strong grasp of software development lifecycles, cloud-native systems, APIs, and data workflows. ● Project Management Expertise: Proficiency in Agile methodologies (Scrum/Kanban), with hands-on experience using tools like Jira, Confluence, or Asana. ● Analytical & Problem-Solving Skills: Ability to synthesize technical and business requirements into actionable plans. ● Communication: Excellent written and verbal communication skills to align cross-functional teams and present to leadership. ● Organizational Skills: Proven ability to manage multiple programs simultaneously while maintaining attention to detail. ● Education: Bachelor’s degree in Computer Science, Engineering, or related technical field. A Master’s degree or PMP/CSM certification is a plus. M/s. RapidClaims RCM Pvt Ltd SJR PRIMUS 8 th Floor, Industrial Layout 7 TH BLOCK, 80ft Road, Koramangala, Hosur main Road, Bengaluru, Karnataka- 560095. Website: https://www.rapidclaims.ai/

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

-An Associate Product Manager assists in the development and execution of product strategies.

-Responsibilities include market research, collaboration with cross-functional teams, assisting in product planning, and supporting the product lifecycle.

-Additionally, they may contribute to the creation of product roadmaps, gather and analyze user feedback, and aid in the coordination of product launches.

Skills:

• 8+ years of software development experience using traditional software development life cycle methodologies (covering requirements, design, development, testing and Implementation of n-tier architecture)
• Extensive experience with object-oriented software development methodologies and practices. Strong in following technologies
• OOAD/OOPS/UML, Design Patterns, MVC, Spring, Hibernate, Java, J2EE
• UI technologies AngularJS, HTML5, CSS3, java script library, Ajax and other UI frameworks
• Exposure to component model design, SOA, open sources framework/tools
• Web Services, JMS, XML, SQL& Oracle
• Must have exposed with Test Driven Development/Re-factoring ideas/ Domain driven design patterns/continuous integration/Build Automation / Data-Mapper framework/Mocks.

Good to Have: Microservices

Competencies:

• Experience in developing platforms or frameworks, components
• Excellent knowledge of the open source software/ tools/ technologies

• Experience in building both front-end and back-end of the website
• Knowledge of WordPress Plugins
• Excellent and written and verbal communication skills with proven fluency in English
• Good understanding of Web architecture
• Analysing website performance and troubleshooting errors
• Conducts Wordpress design/development research and performs discovery analyses for new client projects, including content reviews and wireframing.
• Creates Wordpress design/development strategies based on research.
• Stay up-to-date with new web technologies.

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.