Medical Officer I - Vadodara - E

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Key Responsibilities:

1️⃣ Recruitment & Onboarding – Sourcing candidates, conducting interviews, and managing new hire onboarding.

2️⃣ Employee Engagement – Organizing team activities, feedback sessions, and HR initiatives.

3️⃣ Payroll & Compliance – Managing salary processing, attendance, and statutory compliance.

4️⃣ Performance Management – Assisting in appraisals, goal setting, and feedback collection.

5️⃣ HR Policies & Documentation – Maintaining employee records, drafting policies, and handling grievances.

6️⃣ Training & Development – Coordinating learning programs and skill development sessions.

7️⃣ Exit Process Management – Handling resignations, full & final settlements, and exit interviews.

Qualification : MBA (Marketing / Sales / Business)

Experience : Fresher

Gender : Male / Female 

Salary 30-35k / Month 

Job Description & Skill Required 1) Assist senior sales engineers in technical presentations and proposals.

2) Understand client requirements and suggest appropriate solutions.

3) Support in pre-sales activities, product demos, and client meetings.

4) Generate leads and help in achieving sales targets.dentify, develop, and manage new business opportunities in assigned territories or accounts.

6) Prepare and deliver technical presentations, proposals, and quotations.

7) Coordinate with internal departments (Design, Production) to ensure smooth order execution.

8) Negotiate terms and close sales to achieve targets.

9) Provide post-sales support and ensure customer satisfaction.

10)Conduct market analysis and competitor activity tracking to identify trends and opportunities.

11) Maintain CRM records and regular reporting of sales activities and forecasts.

Skills Required:

1) Strong communication and interpersonal skills.

2) Negotiation and persuasion skills

3) Basic technical understanding of products (engineering/industrial/products knowledge)

4) Client handling and CRM tools knowledge

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

We are looking for a proactive and client-focused Client Servicing Executive – SEO to join our digital marketing team. The ideal candidate will act as a bridge between clients and the SEO team, ensuring seamless communication, timely delivery of tasks, and high-quality service. This role requires strong coordination skills, understanding of SEO fundamentals, and the ability to manage multiple projects efficiently.

Key Responsibilities

• Serve as the primary point of contact for assigned SEO clients.
• Understand client requirements, goals, and expectations to convey them effectively to the internal SEO team.
• Coordinate with SEO strategists, content writers, and technical team to ensure timely and accurate execution of deliverables.
• Prepare and share SEO performance reports, updates, and insights with clients.
• Ensure client satisfaction by addressing queries, resolving issues, and maintaining strong relationships.
• Conduct regular follow-ups and schedule review meetings with clients.
• Assist in strategy development by understanding client industries and competitor landscapes.
• Monitor project timelines, deliverables, and overall progress to ensure everything stays on track.
• Work with the team to improve processes and enhance client experience.
• Maintain documentation of client communications, project updates, and feedback.

Required Skills & Qualifications

• Bachelor’s degree in Marketing, Business, Communications, or related field.
• 1–3 years of experience in SEO client servicing, account management, or digital marketing.
• Basic understanding of SEO concepts (keywords, on-page, backlinks, analytics, etc.).
• Strong communication and interpersonal skills.
• Ability to multitask, prioritize, and manage multiple client accounts.
• Proficiency in MS Office, Google Workspace, and project management tools.
• Excellent problem-solving attitude with a customer-centric approach.
• Prior experience working in a digital marketing agency.
• Knowledge of SEO tools like Google Analytics, Search Console, Ahrefs, SEMrush, Moz, etc.
• Ability to analyze SEO reports and give meaningful insights to clients.
• Competitive salary and growth opportunities.
• A collaborative and supportive work environment.
• Opportunity to work with diverse brands and industries.
• Skill development and training in SEO & digital marketing.

As a Full Stack Developer, you'll be instrumental in shaping the future of AI assistants for data teams and understanding the intricacies of Large Language Models (LLMs) to optimise their usage across multiple use cases. Utilising Django, you'll architect backend infrastructures optimised for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.

Responsibilities:

• Back-end Development: Utilise Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.
• API Design: Craft efficient and scalable APIs using the Django Rest Framework.
• Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritise performance and deliver seamless user experiences.
• AI Integration: Design user interfaces that flawlessly integrate with our LLMs, and AI assistants, aiming to offer data teams an intuitive and efficient interaction.
• Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.

Requirements:

• Pre-requisite Tech Stack: Python, Django, React, Springboot, CSS, and SQL
• Previous work experience with a start-up or similar setting is preferred
• Having an interest in system architecture design

Our client is the fastest growing company in the space of student mobility in Asia Pacific as per Financial times.

More about them

- Long-term accommodation booking platform for students (think booking.com for student housing).

- Helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, nonstandardized and cumbersome paperwork, and broken payment process.

- Leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

- Growing rapidly and targeting $400M in annual gross bookings value by 2022.

Job Summary
The candidate serves sellers by helping them to set up an online Shop on Etsy.com platform over the phone. They inform sellers about Etsy policies, charges, documents required and guide and help them technically to set up the shop on Etsy

Responsibilities and Duties
Helps to set up Etsy shop or accounts, obtains leads through various sources like by internet surfing or by cold calling in different markets or locality, and establishes new Etsy accounts by planning and organizing daily work schedule to call on potential sellers

Focuses to scale up sellers GMS (gross merchandise sale) through sales efforts from the executive's end by studying existing and potential Etsy Sellers.

Keeps management informed by submitting activity and results reports, such as daily call / Meetings reports, weekly work plans, and monthly and annual territory analyses.

Resolves sellers complaints by investigating problems; developing solutions; preparing reports; making recommendations to management.

Contributes to team effort by accomplishing related results as needed.

Required Experience, Skills and Qualifications
Customer Service, Meeting Sales Goals, Closing Skills, Prospecting Skills, Negotiation, Self-Confidence, Product Knowledge, Presentation Skills, Client Relationships, Motivation for Sales.

Must be:

- A graduate

- A local of the city applying for

- Fluent in English and local language

- Computer literate (knows his / her way around e-commerce platforms, able to use a smartphone and laptop)

Candidates from an e-commerce background are preferable.

Marketing Manager:

Profile: The primary role of marketing manager is to attract, retain and grow revenue from a company's targeted customers - across markets. The person is expected to have a proven track record with a minimum 7  years of experience.  In carrying out this role, you must support revenue with lead generation and other quantifiable marketing activities.  

Roles and Responsibilities: 

• Develops and implements strategic marketing plans (International & Domestic) for the company.
• QualifiedRevenue generating Leads through various marketing activities:
  • Digital marketing campaigns.
  • Social media.
  • SEO and superior web presence.
• Prior experience of marketing for IT/ITES businessis a must.
• Messaging, communication to be crystalized and executed in helping generate revenue.
• Build content around the product / service to be pushed across channels.
• Manage the team to perform accurate data generation for digital marketing activities for its target markets / companies.
• Team Management. Finding ways for team to achieve success – recruit, train, mentor and evaluate team members.

Location: Noida