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• Perform installation, setup, and configuration of hardware such as x86-based servers, NAS storage systems, Troubleshooting capabilities of Windows Server OS, Sound knowledge of AD, DNS, Group policy etc, tape drives and tape libraries, LAN switches (Layer 2 and Layer 3), desktop computer and notebooks.
• Perform installation, setup, and configuration of server and desktop operating systems, such as Microsoft Windows Server 2016, 2019 and newer, Microsoft Windows 10 and newer, Linux (Red Hat Enterprise Server, SUSE Linux Enterprise Server), standard applications on desktops such as Microsoft Office 365, email clients, antivirus clients, encryption etc.
• Upgrade hardware components such as hard disks, memory, I/O adapters in servers and storage systems.
• Upgrade Operating Systems and install patches and troubleshooting of OS.
• Perform installation, setup, and configuration of data backup / restore solutions such as Symantec Backup Exec / NetBackup, and able to provide advice to customers on backup policies.
• Remote operation of Data centre
• Knowledge of LAN, WAN, IP segments, basic installation of Firewall, L3/L2 switches, router etc will be added advantage
• To find out and understand the detail requirements of configuration settings from customers before installation and configuration starts.
• To coordinate and manage the progress of the installation and implementation of projects.

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

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• 4+ years of industrial experience in computer vision and/or deep learning
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Your Impact:

•                 Implements Digital Consumer experiences based on a foundation of SFCC (Salesforce commerce cloud) to meet expected quality standards

•                 Ensures functional requirements and high-level solution designs are understood and are translated into detailed technical design

•                 Implement proofs of concept to prove any new technologies, application flows or integration scenarios and identify customizations needed to SFCC platform for meeting client requirements

•                 Guides the performance tuning and scalability of the ecommerce solution

•                 Diagnose and solve technical problems during implementation and support phases

Your Skills & Experience:

•                 4-8 Years with 2+ years of implementing commerce application on any eCommerce platform in last 3 years

•                 If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/.Net and understand REST/SOAP webservices.

•                 Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality

•                 Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

•                 Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

•                 Collaborate with architect to define implementation processes and quality gates and standards

•                 Identifies risks and issues, and help monitor them

•                 Guides the development of reference and resource materials

•                 Mentors developers in improving their platform knowledge and development skills

•                 Communicate technical design to the developers and help/guide them in the implementation

•                 Participates in Agile sprints

Set Yourself Apart With:

•                 eCommerce platform certification

•                 Security considerations – OWASP, CSRF, reCAPTCHA etc. – Basic knowledge or experience

•                 Git Development workflow – Proficient

•                 Visual Studio Code IDE or Eclipse IDE - Proficient

•                 Knowledge on Agile methodology and desired tools like Jira, confluence etc.

•                 Scripting/development experience with Node.js, Mocha/Chai

•                 Experience working in any Salesforce cloud environment like SFMC, SFSC etc.

•                 Excellent written, verbal communication and articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Ability to provide necessary coaching to bring team members up to speed on the technology

•                 Ability to prioritize and manage multiple tasks

•                 Excellent and innovative approach to problem solving and finding solutions

•                 Flexible and proactive/self-motivated working style with excellent personal ownership of problem resolution

Job Description: 

• Creating detailed inorganic and organic 3D models i.e. characters, props, layouts, machines, natural features and environments. 
• Creating highly detailed textures. 
• Doing rigging, organic and inorganic animations. 
• Ensuring that artwork is optimised for Web browsers. 
• Managing and working in coordination with other team members.
• Working on multiple projects at given time.
• Managing entire game projects from creative and graphic perspective.

Requirements: 

• Proven experience in designing high as well as low poly models.
• Must have an expert knowledge of Maya, Zbrush, Substance Painter, Photoshop, After effects. 
• Knowledge of 2D and 3D animations is a huge advantage. 
• Good knowledge of lighting and technical details in Unity is a plus. 
• Must be very creative and should have a keen eye for detail.
• Should be able to work well under pressure and adhere to deadlines without compromising on the quality. 

We are currently looking for "Business Development Executive" for US IT staffing for our branch office in Noida. 

Location:

Head Field Solutions Pvt. Ltd

B-8, Sector 59 (Noida)

Job Profile:

It is a sales position responsible for developing, maintaining, and growing business within the IT/Engineering niche.
Activities include client development, meeting sales objectives, obtaining requisitions/job orders, building relationships, penetrating client accounts and ensuring delivery.

Roles & Responsibilities:

• The primary focus is to bring new business from new and existing clients.
• Define and develop lead generation strategies and marketing plans for new accounts & to further penetrate existing accounts.
• Maintains an ongoing relationship with prospective clients, continuously assessing and communicating how Head Field as a Staffing Solutions can meet their needs.
• Negotiates contractual terms and conditions for employment services, and works with the operations and recruiting teams to ensure smooth handoffs.
• The candidate should:
• Work on getting Contract Staffing requirements from direct clients /Tier-1 Vendors and closing open positions.
• Cold calling and Market research to locate the potential Vendors/Clients.
• Should provide timely feedback to the management regarding performance, activity reports and account strategy concerns. 
• Expertise generating new business for IT Staff Augmentation Services.
• Excellent interpersonal, rapport-building and negotiation skills.
• Expert in Delivery Management / Client Servicing.

Desired candidates profile:

The candidate must possess a proven ability to prospect, develop business and build relationships.

• 0-3 years of experience as BDE/BDM in US Staffing.
• In addition, they must demonstrate a strong customer focus and personal leadership and solid negotiation and presentation skills.
• Individuals experienced in sales and account management who are persistence and have a strong drive to win over new clients and build new business are the best fit.
  
  

Benefits:

• Employee friendly Corporate Work culture 
• Excellent Salary structure
• Timings are fixed (6:30 pm to 3:30 am) with Saturday and Sunday Off
• Best in class infrastructure 
• In-House Meals are available.

Desired Candidate Profile

• CA with more than 8 years of experience in Finance, Accounts, Tax, Budgeting, Liaising, Purchase, Data Analysis and Fund Management
• Demonstrative excellence in conceptualizing and implementing effective management systems to improve financial controls and financial discipline in the organisation
• Expert in analyzing existing systems and procedures, designing internal control systems, facilitating and influencing effective decision-making based on intensive financial analysis of facts and figures
• Excellent in managing the business continuity and disaster recovery plans
• Track record in managing the equity transactions, guiding and advising management on operations, business structuring, financial planning, etc
• Expertise at streamlining processes, identifying unprofitable functions, evaluating control procedures thereby facilitating effective and disciplined performance
• Excellent relationship building and interpersonal skills
• Ability to connect, inspire, influence, confront and challenge people in order to improve process, systems and eventually achieve operational efficiency
• Exceptional interpersonal skills and analytical bent of mind thus being able to comprehend and explain complex financial data easily with a track record of high achievement