11+ Arbortext Jobs in Hyderabad | Arbortext Job openings in Hyderabad

Mandatory Skills

• Experience in Technical Writing/Information Development
• Experience writing topic-based and task-oriented documentation according to company style guidelines, requiring minimal editing from senior ID staff
• Experience developing enterprise systems software documentation for users and system administrators
• General knowledge on DITA concepts and IDCMS: ID (Information Development) Lifecycle and Content Management System
• Excellent interpersonal, communication, and teamwork skills
• MS Word

Roles, Responsibilities

• Effectively collaborate with project stakeholders to scope ID work
• Attend ID and Dev core meetings to understand ID requirements and plan, write and maintain concise but complete internal and external technical information (end user manuals, troubleshooting topics, compliance documentation, API descriptions) in compliance with client and team guidelines
• Independently research for relevant information and perform content reviews
• Work alongside multiple teams in a fast-paced agile environment towards providing high quality written content.
• Follow recommended style and business guidelines; using approved templates
• Being technically savvy in the areas of documentation by being hands-on with new and current product features
• Being proficient in usage of documentation tools & systems and aware of new technologies in documentation, industry best practices.
• Delivering the work allocated in time and with quality including translations and documentation build packages

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

About Medvarsity

Medvarsity is a leader in healthcare education, specializing in upskilling professionals with innovative digital learning solutions. We are expanding our Inside Sales team to help drive growth and support our learners.

Key Responsibilities

• Handle inbound and outbound sales calls with prospective and existing customers.
• Engage in tele sales activities to promote Medvarsitys healthcare courses and products.
• Achieve monthly and quarterly sales targets set by the management.
• Maintain strong follow-up with leads through calls, emails, and messages.
• Understand customer requirements, provide product information, and guide them through enrollment.
• Learn about new courses and healthcare related educational products to effectively communicate with clients.
• Update daily sales reports and customer details in the CRM system.
• Collaborate with the marketing team for effective lead management.

Required Skills & Attributes

• Excellent spoken communication skills in both English and Hindi.
• Ability and willingness to engage in outbound (cold calling) and inbound sales calls.
• Quick learner and receptive to training in healthcare education products.
• Confident, persuasive, and target-oriented approach.
• Basic computer and CRM software skills.
• Resilience to handle objections and turn prospects into enrollments.

Qualifications

• Graduation in any discipline (preferred, not mandatory for exceptional communicators).
• Prior experience in inside sales, tele sales, or customer service is a plus. Freshers showing strong communication are welcome
• EdTech industry or similar kind of B2C sales would be preferable.

Job Overview: Paytm Field Sales Executive

As a Paytm Field Sales Executive, you will be responsible for driving the adoption of Paytm’s digital payment solutions, including EDC machines and QR code onboarding, across industries such as Oil and Gas, Dairy, Railways, and Enterprises. This role involves engaging with new customers, generating leads, and promoting Paytm's products to help businesses transition to digital payments. You will work in a dynamic, target-driven environment, offering solutions that simplify transactions for businesses while contributing to Paytm's growth. If you're a self-motivated individual with a passion for sales and technology, this is the role for you.

Key Responsibilities:

• Sales Target Achievement: Drive sales and onboard new customers in assigned regions (Oil & Gas, Dairy, Railways, and Enterprises).
• Customer Onboarding: Manage the onboarding process for customers using QR codes for seamless integration of EDC machines.
• Product Promotion: Promote and explain the features and benefits of EDC machines to potential clients.
• Market Research: Identify new business opportunities by sourcing and acquiring new clients within a 4-5 km radius.
• Lead Generation: Generate leads through personal networking, door-to-door visits, and other sales strategies. (Leads will not be provided by the company.)
• Post-Sales Support: Ensure customer satisfaction by providing post-sales support and service, including resolving issues and offering product recommendations.
• Installation Support: Collaborate with senior team members to install active machines and ensure they remain functional for more than 10 days.
• Documentation and Reporting: Maintain accurate sales records and reporting of all activities, including leads, sales, and installations.

Requirements:

1. Educational Qualification: 12th passed with good sales skills; bachelor's degree is a plus.
2. Skills: Strong sales and communication skills.
3. License: Driving license is optional (preferred but not mandatory).
4. Transportation: Must own a bike for commuting.
5. Documentation: Candidate’s name on Aadhaar Card and PAN card must be identical.
6. CIBIL Score: A CIBIL score of 550 or more. Candidates with 0 and -1 CIBIL score may be considered if they have never taken a loan.

Key Products:

• EDC Machines: Electronic Data Capture devices used for secure payment processing.
• QR Code Onboarding: Simplified customer onboarding using QR codes for easy installation and setup.

Working Conditions:

Working Days: Monday to Saturday

Working Hours: 9:30 AM to 6:30 PM

Conveyance Allowance:

Oil & Gas: ₹100/day

Dairy: ₹100/day

Railway & Enterprises: ₹800/month

Salary & Incentives:

Base Salary: 80% of sales value (based on successful deals)

Incentive: An additional ₹2000 incentive for each active machine installation that remains operational for more than 10 days.

Benefits:

• Growth Opportunities: This role offers growth potential based on individual performance and sales achievements.
• Incentives & Rewards: Additional incentives for each active machine installation and other performance-based rewards.

This Social Media Executive is suited for someone with an entrepreneurial spirit and wants to get a first-hand experience in various things that happen in a new organization. A candidate that doesn’t mind about living any challenging experience by owning it to self.

Candidate will be given responsibilities of supporting (including but not limited to) social media strategy planning, online advertising, promotions, & Ad-Campaigns. He/she will monitor and create aggressive marketing on Instagram & Facebook and create engaging content for blogs, forums and other social networks like Facebook, Twitter, Instagram, LinkedIn, Quora, Pinterest, etc.

He/she will optimize our website, blogs and social media content for maximum reach and impact (e.g. SEO/SEM) by using keyword analysis and cost/benefit analysis. They will develop a content calendar on a weekly and monthly basis.

Our company’s culture is unique in that we truly live by our values of friends first, integrity and doing the right thing.

Expereince: 3-5 years

Domain: SQL server/SSIS/Cloud technology

Good Knowledge in Creating new tables in database.

Using Triggers, trunket,delete,view,etc

Roles & Responsibilities:

• 4+ years of experience as both a hands-on architect and a software engineer
• Leadership experience in creating, deploying, and iterating excellent software
• Extensive problem-solving skills
• Good written and vocal communication skills (in English)
• Proficiency in the following skills and technologies is mandatory: Core PHP, CodeIgniter, WordPress(CMS), MVC Framework, MYSQL(Database), OOP, JavaScript, jQuery, HTML, CSS, Laravel 5, Opencart, AngularJS, GIT, SVN
• Capture high level requirements quickly from client or the sales team
• Be able to estimate with limited information by guesstimating based on some logical reasoning and assumptions
• Be able to clearly state the assumptions for the estimate
• Has good command over presentations and be able to quickly create a pre-sales presentation for the sales team
• Strong understanding of technology
• Ability to research out potential products / technologies for the proposed solution