Technical Content Writer

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

AI-Native Software Developer Intern

Build real AI agents used daily across the company

We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).

You will ship real systems, used by real teams, with real impact.

If you’ve never built anything outside coursework, this role is probably not a fit.

What You’ll Work On

You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.

Examples of problems you may tackle:

Internal AI agents for:

• Knowledge retrieval across Notion / docs / Slack
• Automated report generation
• Customer support assistance
• Process automation (ops, hiring, onboarding, etc.)
• Decision-support copilots
• Prompt engineering + structured outputs + tool-using agents

Building workflows using:

• LLM APIs
• Vector databases
• Agent frameworks
• Internal dashboards
• Improving reliability, latency, cost, and usability of AI systems
• Designing real UX around AI tools (not just scripts)

You will own features end-to-end:

• Problem understanding
• Solution design
• Implementation
• Testing
• Deployment
• Iteration based on user feedback

What We Expect From You

You must:

• Be AI-native: you actively use tools like:
• ChatGPT / Claude / Cursor / Copilot
• AI for debugging, scaffolding, refactoring
• Prompt iteration
• Rapid prototyping
• Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
• Have strong critical thinking
• You question requirements
• You think about edge cases
• You optimize systems, not just make them “work”
• Be high agency
• You don’t wait for step-by-step instructions
• You proactively propose solutions
• You take ownership of outcomes
• Be able to learn fast on the job

Help will be provided but you will not be spoonfed.

Absolute Requirement (Non-Negotiable)

If you have not built any side projects with a visible output, you will most likely be rejected.

We expect at least one of:

• A deployed web app
• A GitHub repo with meaningful commits
• A working AI tool
• A live demo link
• A product you built and shipped
• An agent, automation, bot, or workflow you created

Bonus Points (Strong Signals)

These are not required but will strongly differentiate you:

• Built projects using:
• LLM APIs (OpenAI, Anthropic, etc.)
• LangChain / LlamaIndex / custom agent frameworks
• Vector DBs like Pinecone, Weaviate, FAISS
• RAG systems
• Experience deploying:
• Vercel, Fly.io, Render, AWS, etc.
• Built internal tools for a team before
• Strong product intuition (you care about UX, not just code)
• Experience automating your own workflows using scripts or AI

What You’ll Gain

You will get:

• Real experience building AI agents used daily
• Ownership over production systems
• Deep exposure to:
• AI architecture
• Product thinking
• Iterative engineering
• Tradeoffs (cost vs latency vs accuracy)
• A portfolio that actually means something in 2026
• A strong shot at long-term roles based on performance

If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.

Who This Is Perfect For

• People who already build things for fun
• People who automate their own life with scripts/tools
• People who learn by shipping
• People who prefer responsibility over structure
• People who are excited by ambiguity

Who This Is Not For

Be honest with yourself:

• If you need step-by-step instructions
• If you avoid open-ended problems
• If you’ve never built anything outside assignments
• If you dislike using AI tools while coding

This will be frustrating for you.

How To Apply

Send:

• Your GitHub
• Links to projects (deployed preferred)
• A short note explaining:
• What you built
• Why you built it
• What you’d improve if you had more time

Strong portfolios beat strong resumes.

Role: Tele Sales Executive-International / Tele Sales Executive-Domestic

Department- Sales

Experience: 1 To 3 years

CTC: up to 4 LPA

Responsibilities:

Lead Generation:

• Conduct research to identify potential customers and industries for our products/services.

• Utilize various channels, including social media, email campaigns, and cold calling, to generate leads. Prospect Qualification:

• Engage with leads to understand their needs and assess their potential as qualified prospects.

• Gather additional information for effective lead qualification.

Sales Outreach:

• Conduct outbound calls, emails, and other communication methods to initiate conversations with potential customers.

• Articulate the value proposition of our products/services to prospects and create interest in further discussions.

• Create and send proposals as per discussion with potential clients

• Coordinate with Accounts for Invoice creation and send to potential clients

• Ensure payment is received with given period for the services

Dear,

We are excited to inform you about an exclusive opportunity at Xebia for a Senior Backend Engineer role.

📌 Job Details:

• Role: Senior Backend Engineer
•  Shift: 1 PM – 10 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or up to 30 days

🔹 Job Responsibilities:

✅ Design and develop scalable, reliable, and maintainable backend solutions

✅ Work on event-driven microservices architecture

✅ Implement REST APIs and optimize backend performance

✅ Collaborate with cross-functional teams to drive innovation

✅ Mentor junior and mid-level engineers

🔹 Required Skills:

✔ Backend Development: Scala (preferred), Java, Kotlin

✔ Cloud: AWS or GCP

✔ Databases: MySQL, NoSQL (Cassandra)

✔ DevOps & CI/CD: Jenkins, Terraform, Infrastructure as Code

✔ Messaging & Caching: Kafka, RabbitMQ, Elasticsearch

✔ Agile Methodologies: Scrum, Kanban

⚠ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response! Also, feel free to refer anyone in your network who might be a good fit.

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

• Angular and Angular JS, Able to work Architecture, Design and Development ofComplex UI Screens
• OOP fundamentals (Encapsulation, Abstraction, Inheritance, Polymorphism), MVC architecture
• UML (Class/Sequence diagrams)
• Design Patterns (Should be able to explain some common design patterns)
• Versioning (CVS, VSS, Git etc. – why is it used?, check-in/check-out, merging, how to resolve conflicts?, etc.)
• JDBC (Statement types, Obtaining connection, ResultSet, Drivers)
• Hibernate/JPA , DB (PK, FK, Normalization), SQL (Insert/Update/Delete/select queries)
• CSS (Styles, Classes)
• SDLC (What is it?, benefits, etc.)
• Robust Programming, Debugging (Common IDE features and their use)
• Analytical skills – ability to look at a problem with different perspectives: define solutions understanding the pros and cons of each
• Hands on with Continuous Integration, Maven
• Estimation, Planning and Tracking, Timely Issue Escalation and Resolutions
• Exposure to Performance tools, Jprofiler, Dynatrace etc.

Our client is a chain of hospitals that focus on providing high quality healthcare for all. Their hospitals have over 17 centers of excellence across all medical specialties. Through their proprietary technology, hospitals can maintain medical quality standards, give their patients a better experience and also serve them at cheaper prices.

Headquartered in Bangalore, they have their network of hospitals across locations in Bangalore and Chandigarh. Currently they have 40+ hospitals with 2000+ beds. All of their hospitals are accredited by the National Accreditation Board for Hospitals & Healthcare Providers (NABH).

Our client is funded by tier-1 investors and has raised a total of $6.3M in funding over 1 round.

• Developing, implementing and maintaining performance management and talent review processes
• Maintaining a deep understanding of the business and culture inside and out so that you can provide strategic HR partnership to the business and the teams you support
• Acting with the employee experience top of mind, continuously seeking feedback, inefficiencies, and maintaining business relationships based on trust and respect
• Resolving employee relations issues; providing coaching and counselling to management and staff; collaborating with legal counsel on issues as appropriate
• Administrating total rewards program
• Designing compensation and benefits packages
• Managing employees’ grievances
• Setting up and running a learning & development function customized for the needs of each function
• Evaluating and improving employee NPS
• Owning overall hiring process and scale to match organization growth

Desired Candidate Profile

• At least 7+ years of experience
• Previous experience in a fast paced startup environment
• Good problem solving skills
• Outstanding communication skills, specifically in written form and presentation and public speaking skills    

 2+ years of .NET Development experience

- Exceptional skills Experience with .NET,  technologies (WPF, Web Forms, .NET Core). Also skilled in MS SQL and PostgreSQL, Bootstrap and DevOps.

- Experience with DevExpress, Elasticsearch.Net, VS Studio is preferred SolarSearch

- Great business process understanding and written and verbal communication skills

- GitHub and Git experience.

• The Architect/ Lead Backend Engineer will handle the digital experience from inception to go-live model.
• The role holder is expected to create a vision and roadmap for the digital experience to provide best in class customer experience for each of the product solutions handled.  The role holder will play a critical role in leading the innovation and growth of our front end web and mobile platforms.
• Must be from Good Companies and have been working on high Scale of Traffic
• Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Groovy or Go.
• 3+ years of experience building microservices.
• Strong experience in architecting and building distributed systems, scalability, and availability
• Strong knowledge of data structures, algorithms, and designing for performance
• Strong knowledge of cloud technologies like AWS/Google Cloud/Azure
• Good understanding of RxJava or Actors framework
• Proficient with RDBMS
• Strong knowledge on data stores, database design, data modelling and SQL queries
• Extensive experience building and owning large- scale distributed backend systems
• Experience working with three or more of : Unix/Linux environments, Distributed and parallel systems, Workflow automation, CI/CD Platform development, Cloud platforms development e.g. AWS/GCP, Kubernetes/Container platforms based development