Director of Engineering(Females Candidates Only)

Process Name: US LLS ( Line Language Selection ) - WORK FROM HOME (Eng + French or Nepali or Bengali or Tamil or Punjabi or Urdu or Gujarati)

Company - Teleperformance 

Roles and Responsibility : Will be working as a language interpreter whereas their job would be to interpret between the customer and the client . Interpreter is responsible for handling telephone or video calls on demand and renders meaning of conversations in the consecutive mode of interpretation between speakers of French or Nepali, Bengali and Urdu along with Excellent English

Criteria: Age limit 40 Max

Qualification : Graduates or Undergraduates can Apply

Work History : Freshers and Experienced both can Apply.

Skills Required:

Excellent communication in English as well as in their regional language

Should have good knowledge of computer.

Should be flexible with rotational shifts.

Should be comfortable for video conference with clients.

Should have WIFI , Laptop / Desktop / Smartphone for attending interviews

Perks and Benefits:

Permanent Work from Home

System provided by the company 

5 Days Working with rotational week off.

Pan India Hiring for Work from home.

Salary Details :

French : 8 - 10 LPA

Nepali : 5.5 LPA (30 – 39 k in hand)

Bengali : 5.5 LPA (30 – 39 k in hand)

Punjabi : 5.5 LPA (30 – 39 k in hand)

Urdu : 30 K max in hand

Tamil : 5.5 LPA (30 – 39 k in hand)

Selection Criteria :

HR Round

Online Assessment in both languages (Client Amcat)

Scoring Marks 3+ for both languages

Test can be performed on any device.

Ops Round on Microsoft Teams

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

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 CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

About UpSolve

We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.

What you will do

• Stay informed on new technologies and implement cautiously
• Maintain necessary documentation for the project
• Fix the issues reported by application users
• Plan, build, and design solutions with a mental note of future requirements
• Coordinate with the development team to manage fixes, code changes, and merging

Location: Mumbai

Working Mode: Remote

What are we looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
• Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
• Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
• Knowledge of databases and SQL for data storage and retrieval.
• Familiarity with version control systems such as Git.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic team environment.
• Good to have Cloud Exposure

• Develop, test, and maintain server-side applications using Node.js and related technologies.
• Design and implement RESTful APIs and microservices architecture to support frontend functionality.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize application performance, ensuring scalability and reliability.
• Conduct code reviews, mentor junior developers, and ensure adherence to best practices.
• Stay updated with emerging backend technologies and methodologies to improve development processes.

Mandatory

• SaaS experience of 2 years with total development experience of 4 years
• Must have worked in a smaller company of less than 100
• Should have built solutions/softwares end to end and not just as a part of bigger team
• Should see themselves going deeper into the same role even 5 years down the line
• Should have knowledge on Node.js, MongoDB, and AWS
• Strong understanding of asynchronous programming, event-driven architecture, and Node.js design patterns.
• Proficiency in working with databases such as PostgreSQL, MongoDB, or MySQL.
• Experience with API development, including RESTful services and microservices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving skills and the ability to debug complex server-side issues.

Essential

• Proficiency with version control systems like Git.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of system design and scalable architecture.
• Understanding of security best practices and implementing secure APIs.

Good to Have

• Experience with GraphQL and related backend technologies.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with message brokers like RabbitMQ or Kafka.
• Experience with platforms like Shopify, BigCommerce, or other e-commerce technologies.
• Exposure to frontend technologies such as React for better cross-functional collaboration.

Job Description: Executive Assistant - Founder

Who are we?

Design Qandy is a luxury home décor brand. It’s nothing less than a revolution in the home décorindustry- where technology enables world class home interior design.

To know more about us, visit www.designqandy.com and https://instagram.com/designqandy

We are a lean team of high-performing go-getters who take ownership of their roles in the organization. Debates and discussions are an important part of our culture, and we encourage people to bring unique perspectives to the conversations.

Most importantly, we love solving problems. If you think you’re cut out from a similar cloth, we’d encourage you to apply for this role.

What would you be required to do?

• Supervise the office boy, housekeeping staff, and security to efficiently manage the Founder's calendar, scheduling appointments, meetings, and other events.
• Book travel & accommodations arrangements for the founder for all his trips and for any employees who are travelling for official purposes.
• Coordinate with internal and external stakeholders to ensure timely and seamless scheduling while prioritizing urgent and important tasks.
• Draft correspondence, presentations, and reports to be sent on behalf of and signed by the Founder.
• Handle the Founder's payments, bank transactions, credit card payments and updations and related procedures and ensure all financial processes are accurately executed with the necessary approvals. Handle login credentials securely and discreetly.
• Manage all relevant documents related to banks, government agencies, and internal and external partners. Ensure accuracy, organization, and timely retrieval of documents as required.
• Monitor and renew all necessary memberships, such as club and hotel memberships, ensuring they are updated as needed.
• Assess and onboard new vendors based on their efficiency and quality standards for all official tasks along with Admin
• Develop a fair understanding of the Founder's day to day requirements, as well as their family business, and proactively plan and execute tasks to meet those needs.
• Remind the Founder of upcoming urgent and important meetings and tasks, on a daily basis. Continuously coordinate with stakeholders to ensure the timely completion of tasks.
• Perform tasks that will free up the Founder’s time like ordering books, returning any materials, sending festive gifts and greetings to our stakeholders for Diwali,
• Other duties, consistent with skills and experience, as directed by the Founder.

What skills we are looking for?

• Masters/bachelor in finance, commerce or related field preferred, or any other specialization
• Proven record of more than 5 years’ work experience being EA to a CXO/ founder
• Excellent MS Office knowledge
• Outstanding organizational and time management skills
• Excellent communication and interpersonal skills
• Familiarity with office gadgets and scheduling applications (e.g., e-calendars, outlook, and print machines)
• Maintain Discretion and confidentiality for all matters relating to the founder
• Strong attention to detail and accuracy
• Ability to work independently and proactively in a fast-paced environment

Skills needed?

• Work experience as an Executive Assistant, Personal Assistant or similar role more than 5 years
• Excellent proficiency in verbal and written communication.
• Proactive and detail-oriented individual with multitasking skills

We are looking for a System Administrator to maintain, upgrade and manage our software, hardware and networks.

Resourcefulness is a necessary skill in this role. You should be able to diagnose and resolve problems quickly. You should also have the patience to communicate with a variety of interdisciplinary teams and users.

Your goal will be to ensure that our technology infrastructure runs smoothly and efficiently.

• Install and configure software and hardware
• Administer Microsoft 365 Enterprise Mobility and Security suite + Intune
• Set up accounts and workstations
• Monitor performance and maintain systems according to requirements
• Troubleshoot issues and outages
• Ensure security through access controls
• Upgrade systems with new releases and models

• Functional & operational understanding of Microsoft Active Directory, Office 365 and Microsoft Intune or Microsoft Enterprise Mobility and Security
• Functional knowledge of Active Directory security groups
• Experience with configuring Microsoft 365 security policies
• Ability to troubleshoot issues related to Windows 10 operating systems
• Basic hardware troubleshooting skills

• Eager to learn and apply new technologies and tools to get the job done
• Strong analytical and organizational skills
• Good communications skills to be able to communicate with people to understand and comprehend underlying issues

• Microsoft Certifications: MCSA/MCSE/MS-101 Enterprise Mobility and Security
• Network configuration and management
• Fortinet firewall configuration