HR Generalist

1. Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

7. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable

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.

Job Title: Sales Executive (1 Yrs Exp) – Enterprise AI Software Pre-Sales

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Executive with 1+ years of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions, and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 1+ years of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI  products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients . 

We are looking for a highly skilled 3D Character Artist with rigging expertise to join our team. The ideal candidate should be proficient in creating characters from scratch and rigging them for Unity and Unreal Engine. The role requires a keen eye for detail and a passion for bringing characters to life.

Responsibilities:

• Create 3D characters from concept art or references, adhering to project specifications and style
• Design and implement realistic or stylized facial expressions using blend shapes and rigging techniques
• Create efficient and optimized character rigs for animation, including skinning and weight painting
• Collaborate with the art and animation team to ensure consistency of character design and quality across all assets
• Troubleshoot and fix technical issues related to rigging, animation, and integration into game engines
• Stay up-to-date with industry trends and techniques, continuously improving skills and workflows

Requirements:

• Proficiency in 3D modeling and texturing using software such as Maya, 3ds Max, or and any major 3D softwares.
• Strong knowledge of character rigging techniques, including skinning, weight painting, and blend shapes
• Experience in creating characters for Unity and Unreal Engine, and knowledge of their respective pipelines and limitations
• Understanding of human anatomy, facial expressions, and body mechanics
• Excellent communication and collaboration skills, ability to work effectively in a team environment
• Strong problem-solving skills and attention to detail
• A portfolio demonstrating high-quality character modeling, rigging, and animation work

If you are passionate about creating engaging and realistic characters for games and have the required skills and experience, we encourage you to apply for this exciting opportunity. We offer competitive salary, benefits, and a dynamic work environment.

Key Responsibilities:

Record to Report, Taxation & Filing.

Requirements:

Electronic payment of all federal, state & local payroll taxes where applicable, with accurate and timely payroll tax deposits and returns.

Maintain records accordingly.

Withholding & remittance of employee garnishment payments to the appropriate agencies.

Working Hours: 7 PM- 4 AM |Mon-Fri

Working Location: Aligarh, Uttar Pradesh

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.

You have experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.

If you love solving problems using yo, professional services background, usual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
• Debug and fix production issues in PySpark.
• Determine the RCA (Root cause analysis) for production issues.
• Collaborate with product teams for L3/L4 production issues in PySpark.
• Contribute to enhancing the ETL efficiency
• Build CloudWatch dashboards for optimizing the operational efficiencies
• Handle escalation tickets from L1 Monitoring engineers
• Assign the tickets to L1 engineers based on their expertise

What are we looking for?

• AWS data Ops engineer.
• Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
• Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
• Strong data engineering experience on Cloud platform, preferably AWS.
• Experience with data pipelines designed for reuse and use parameterization.
• Experience of pipelines was designed to solve common ETL problems.
• Understanding or experience on various AWS services can be codified for enabling DataOps like Amazon EMR, Apache Airflow.
• Experience in building data pipelines using CI/CD infrastructure.
• Understanding of Infrastructure as code for DataOps ennoblement.
• Ability to work with ambiguity and create quick PoCs.

You will be preferred if

• Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
• Exposure to MLOps using Amazon Sagemaker is a plus.
• AWS Solutions Architect Professional or Associate Level Certificate
• AWS DevOps Professional Certificate

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

• Writing clean and efficient code for Android applications.
• Atleast published 1-2 apps on play store.
• Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance.
• Collaborating with cross-functional teams to define and design new features.
• Staying up to date with new mobile technology trends, applications, and protocols.

• You have prior exposure to Kotlin, Android SDK.
• Understanding of design patterns and mobile architecture using frameworks such as MVVM / MVC / MVP.
• Familiarity with RESTful APIs to effectively integrate Android applications.
• Understanding of code versioning tools such as Git.
• You are a problem solver with good analytical skills.
• Prior experience in accessibility applications or voice-based applications will be a plus not a necessity
• Passion to work in dynamic, start-up environment

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us

About the Company
Based in California’s Silicon Valley, WebShar is focused on enabling innovative teams to bring their ideas to life. WebShar provides software development consulting services to innovative companies around the world. Through years of cutting edge technical expertise, the WebShar team utilizes their extensive knowledge of modern software development methodologies to help companies create innovative software solutions.

About the Job Role

 Primary  

• Java, J2EE, Spring MVC
• Hibernate or other ORM
• Web technology and security, REST framework
• Any one UI technology and ready to learn a new one.
• Database knowledge (MySQL, Oracle, Postgres)
• Unit testing frameworks
• Version Control (Eg., Git)

Good To Have  

• Microservices architecture implementation using docker and kubernetes
• Web technologies like HTML, CSS and Javascript
• Python, Shell Scripting

• Identify and analyze user requirements
• Prioritize, assign and execute tasks throughout the software development life cycle
• Document development phases
• Design database architecture
• Develop Java EE applications
• Write well-designed, efficient code
• Review, test and debug team members’ code
• Schedule product releases with internal teams
• Ensure our applications are secure and up-to-date
• Stay up-to-date on emerging technologies

• 6 to 8 years of work experience as a Senior Java Developer or similar role
• Experience designing, building and testing Java EE applications
• In-depth knowledge of popular Java frameworks like Spring MVC
• Experience with Object-Oriented Design (OOD)
• Good delegation and time management skills
• Problem-solving abilities
• BSc in Computer Science, Engineering or relevant field

We are looking for a React.js Developer. Your primary focus will be on developing user interface components and implementing them. You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure.

Responsibilities:

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

Requirements:

• Good knowledge of JavaScript, HTML and CSS
• Good understanding of React.js and its principles
• Good understanding of state management libraries like Redux
• Good understanding of newer specifications of EcmaScript like ES6 and ES7
• Good understanding of RESTful APIs
• Knowledge of modern authorisation mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Familiarity with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• Good understanding of Git

Minimum Qualifications:

• At least 3 years experience in web development.
• Experience with HTML5 and CSS
• Experience with ReactJS, JavaScript, ES6
• Experience with state management libraries like Redux
• Experience working with Git
• Good written and verbal English skills
• Good attention to detail
• Ability to effectively communicate with internal departments, team members and partners
• Ability to effectively plan and organise
• Ability to work independently under limited supervision

Would be a plus:

• Experience in test automation and test-driven development (Jest, Enzyme)
• Experience with NodeJS and GraphQL
• Knowledge of PWA
• Familiarity with JIRA or any other project management tool
• Experience with AWS/EC2, or other cloud services