UX Designer / Product Designer

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. 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

About Company

Gunpowder Innovations is a technology-first company building high-performance applications in fintech and health tech. Our engineering team is passionate about solving complex problems at scale, delivering seamless user experiences through cutting-edge mobile and web technologies. AllerWell, one of our flagship products, uses Al and advanced tech to revolutionize allergy management, helping users make safer food choices.

About Role

We are looking for an experienced Sales Development Representative (SDR) to drive outbound sales and generate qualified opportunities across international markets. This role focuses primarily on outbound prospecting and lead generation.

The ideal candidate has strong prospecting skills, experience engaging global decision-makers, and is comfortable using AI tools to improve research, outreach personalization, and lead qualification.

You will primarily engage Founders, CTOs, and Product Leaders at startups and technology companies who are building or scaling digital products.

Key Responsibilities

• Identify and research potential clients across international markets.
• Build targeted prospect lists using LinkedIn and sales intelligence tools.
• Engage decision-makers such as Founders, CTOs, and Product Leaders through outbound outreach.
• Use AI tools to support prospect research and personalize outreach messages.
• Qualify leads and schedule discovery calls for the sales team.
• Maintain accurate records of outreach activities in the CRM system.
• Monitor industry signals such as funding announcements, product launches, and hiring trends to identify potential opportunities.

Requirements

• Minimum 3+ years of experience in SDR, BDR, or outbound sales roles.
• Experience prospecting and engaging international clients.
• Experience in technology services, SaaS, or software development sales.
• Strong written communication and outreach skills.
• Familiarity with tools such as:
• LinkedIn Sales Navigator
• Apollo / Clay / ZoomInfo
• CRM platforms (HubSpot, Salesforce, Zoho CRM)
• AI tools such as ChatGPT for prospect research and outreach

Preferred Skills

• Experience engaging startup founders, product teams, and technology leaders.
• Ability to create highly personalized outreach at scale using AI tools.
• Understanding of B2B sales in the technology industry.

Success Metrics

• Qualified meetings booked
• Pipeline generated through outbound campaigns
• Outreach response rate
• Lead-to-opportunity conversion

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

5 8 years of hands-on working experience in managing BAU operations with at least 2 full lifecycle projects on end-to-end Coupa implementation 2 3 years of hands-on working experience on at least 1 full lifecycle projects on end-to end Coupa Risk Assess CRA implementationsupport Leading a team that provides day-to-day functional and technical support for Coupa and CRA users resolving incidents and service requests Administer and maintain Coupa configurations including approval workflows user roles and permissions Configure Coupa to meet specific business needs and when necessary oversee the development of custom requirements change requests Monitor and troubleshoot integration jobs ensuring successful data synchronization for POs invoices suppliers and payments Collaborate with IT ERP and middleware teams to resolve integration or data flow issues between Coupa and SAP Manage and support Coupa P2P operations requisitions purchase orders receipts invoices supplier enablement and catalogs Coordinate with Coupa Support for escalation and resolution of platform issues Create and maintain support documentation process flows and configuration logs Participate in system upgrades new feature deployment and regression testing Identify recurring issues and recommend process or configuration improvements

We are seeking a detail-oriented and motivated Data Entry Specialist to join our team. In this role, you will be responsible for accurately entering, updating, and maintaining data in our systems and databases. The ideal candidate will have strong typing skills, attention to detail, and the ability to work efficiently under deadlines.

Key Responsibilities:

• Accurately enter data into databases, spreadsheets, and internal systems
• Verify data accuracy and make necessary corrections
• Maintain confidentiality of sensitive information
• Organize and manage records and files
• Perform regular backups to ensure data preservation
• Respond to data requests and provide information as needed
• Assist with administrative tasks and other projects as assigned

Qualifications:

• High school diploma or equivalent; associate degree is a plus
• Proven experience in data entry or a similar role preferred
• Excellent typing skills (minimum 40–60 WPM preferred)
• Strong attention to detail and accuracy
• Proficiency with Microsoft Office (Excel, Word) and data entry software
• Good organizational and time-management skills
• Ability to work independently and in a team environment

Preferred Skills:

• Familiarity with CRM systems or database management
• Basic knowledge of spreadsheets and online forms
• Good communication skills
• Ability to handle confidential information with integrity

Benefits:

• Competitive salary
• Flexible working hours
• Remote work options
• Paid time off and holidays
• Opportunities for growth and development

Data Engineer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling. 

Your present skillset

• 4+ years' experience in a related field
• Advanced Python and OpenAI API proficiency.
• Good with LLM Concepts.
• Experience with large data sets, visualizations, and reports.
• High standards in code quality and development practices.
• Proficiency in managing structured/unstructured data.
• Expertise in scalable data systems.
• Strong AI/ML skills for pattern and anomaly detection.
• Experience with CI/CD processes and DevOps.
• Experience in the financial/trading sector.
• Familiarity with latency-sensitive systems and performance optimization

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

• Identify, contact and engage prospective clients.
• Online ad sales.
• Make daily sales calls/presentations and bring revenue for the company. 
• Convert leads coming from the website.
• Create and implement strategies to seek out potential partners to promote our solutions.

This person MUST have:

• B.E Computer Science or equivalent
• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
• Experience configuring/maintaining one monitoring tool.
• Excellent verbal & written communication skills.
• Candidates with certifications - AWS, GCP, CKA, etc will be preferred
• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.

Location:

• Remotely, anywhere in India

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.