Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for students or recent graduates interested in digital media, creative design, and visual communication. The internship offers flexible start and end dates. A short design task may be required as part of the selection process.
Responsibilities:
- Design and develop digital media assets including social media graphics, web visuals, and presentations.
- Support the marketing team by creating engaging content for online platforms.
- Assist in producing graphics, infographics, and layouts for reports and campaigns.
- Edit and enhance multimedia content for professional use.
- Collaborate with cross-functional teams to maintain brand consistency across digital channels.
- Research digital design trends and suggest innovative design solutions.
Please send your resume to talent@springercapital
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)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
What We're Looking For :
● Excellent communication skills (written & verbal)
● Familiar with Excel, Google Sheets, and modern tools like CRM platforms, Notion, etc.
● Strong presentation skills and ability to simplify ideas for the team.
● Quick learner with a growth mindset and curiosity to explore.
● Tech-savvy and confident navigating digital platforms.
● Ground-level understanding of marketing fundamentals —including customer. targeting, value proposition, positioning, and campaign basics.
● 6+ months of experience in sales or business development will be preferred.
- Must have ground level knowledge and interest in Marketing fundamentals.
Qualification: -
- BBA preferred, or - graduation in any stream (with interest in marketing or growth strategies.)
- Final year Students from BBA Can be consiidered if they don’t have any examination in upcoming 3 Months.
Fill Form : https://forms.gle/wTNfwmUfPyB4HuSx8
MemoNeet, a leading Edtech Startup with over 900K+ downloads for NEET exam preparation about to reach Million Users, is on a mission to empower students through innovative technology. We are seeking a skilled and dedicated full-time Accountant with expertise in accountanting with high aptitude also who will understand our business model..
Cold calling to the client, Analyzing their requirements regarding the residential properties, scheduling their site visits and take proper followup till bookings of flats
- Should have worked for overseas consultants.
- Client coordination
- Recruitment coordination
- Handling team of (2-3 or 1-2)
- Worked for any Senior overseas recruitment agency and handled clients from the Middle east.
- Will have to handle construction, FMCG, hotel, and all verticals.
- Arranging employee interviews.(majorly hire blue collars employees)
- Preferred end-to-end knowledge of the Saudi visa process. - important
- (UAE, and Qatar would also work but should know the Saudi visa process)
- Should have excellent knowledge of Excel, letter drafting, and client coordination.
- Flexible with their work timings.
- Male and female candidates.
Machine Learning (ML)
Data Sciencecutting-edge technology to problems that have never been solved before, working with architecture and
product teams to collaboratively visualize, design and create machine learning models for M3LD- the
world’s first privacy platform that helps users get control of their data and enterprises to establish trustbased relationships.
KEY ACCOUNTABILITIES & ACTIVITIES
AI-ML Software
Engineer
Accountabilities
& Activities
▪ Study and transform data science prototypes
▪ Design machine learning systems
▪ Research and implement appropriate ML algorithms and tools
▪ Develop machine learning applications according to requirements
▪ Select appropriate datasets and data representation methods
▪ Run machine learning tests and experiments
▪ Perform statistical analysis and fine-tuning using test results
▪ Train and retrain systems when necessary
▪ Extend existing ML libraries and frameworks
▪ Keep abreast of developments in the field
BACKGROUND, SKILLS & QUALIFICATIONS
Knowledge,
Skills and
Experience
▪ Ability and passion to deliver extraordinary results with minimal direction
▪ Collaborating with teams to dissect complex problems and design solutions tailored to M3LD
needs
▪ Expertise in big data processing, data pipeline, machine learning, and AI processing methods.
▪ Proficiency in programming languages - e.g. Python, Java, C++, Ruby.
▪ Track-record of shipping and maintaining code in production with a commitment to high quality,
well-tested code, and automation
▪ Experience with object-oriented design, multi-threading, and synchronisation
▪ Experience with ML frameworks and libraries (Spark, tensor, OpenAI)
▪ Ability to optimize runtime with performant data structures, leveraging distributed systems and/or
cloud platforms
▪ Excellent written skills and ability to document system design documentations.
▪ Experience working in “agile” development environment and collaboration tools like Jira,
Confluence, etc.
▪ Ability to communicate effectively with cross project stakeholders both verbally and in writing
▪ Ability to collaborate with distributed teams across time zones
Qualifications ▪ 5+ years of relevant work experience in enterprise, mobile and complex solution development,
and software engineering
▪ Strong computer science fundamentals required
▪ Experience with deep learning frameworks.
▪ Strong experience in programming and statistics.
▪ Experience working with DevOps practices, Git version control, and agile development
approaches.
▪ Experience developing for major cloud platforms, including Azure, AWS, Google Cloud, and
Oracle Cloud Infrastructure is preferred.
Minimum 7 years of experience in Salesforce Sales & CPQ Cloud or any other CPQ Product
Skills
- Experience with full cycle project implementations in Salesforce CPQ required.
- Strong Salesforce CPQ functional & technical knowledge
- Strong experience in configuring & customizing Salesforce CPQ application
- Experience in customized CPQ integration with CRM/ERP applications
- In depth knowledge in product configuration & rules, commerce process, document engine and pricing functionality in CPQ
- Strong experience in Agile way of working
- DevOps practitioner with Bitbucket, Git and CI/CD experience
- Good understanding and exposure to Salesforce DX
- Proven knowledge of business process and its KPIs, including best practices to support the relevant business processes
- Good Communication, Analytical & problem-solving skill
ScalaConviva is the leader in streaming media intelligence, powered by its real-time platform. More than 250 industry leaders and brands – including CBS, CCTV, Cirque Du Soleil, DAZN, Disney+, HBO, Hulu, Sky, Sling TV, TED, Univision, and Warner Media – rely on Conviva to maximize their consumer engagement, deliver the quality experiences viewers expect and drive revenue growth. With a global footprint of more than 500 million unique viewers watching 150 billion streams per year across 3 billion applications streaming on devices, Conviva offers streaming providers unmatched scale for continuous video measurement, intelligence and benchmarking across every stream, every screen, every second. Conviva is privately held and headquartered in Silicon Valley, California, with offices around the world. For more information, please visit us at www.conviva.com.
What you get to do:
Be a thought leader. As one of the senior most technical minds in the India centre, influence our technical evolution journey by pushing the boundaries of possibilities by testing forwarding looking ideas and demonstrating its value.
Be a technical leader: Demonstrate pragmatic skills of translating requirements into technical design.
Be an influencer. Understand challenges and collaborate across executives and stakeholders in a geographically distributed environment to influence them.
Be a technical mentor. Build respect within team. Mentor senior engineers technically and
contribute to the growth of talent in the India centre.
Be a customer advocate. Be empathetic to customer and domain by resolving ambiguity efficiently with the customer in mind.
Be a transformation agent. Passionately champion engineering best practices and sharing across teams.
Be hands-on. Participate regularly in code and design reviews, drive technical prototypes and actively contribute to resolving difficult production issues.
What you bring to the role:
Thrive in a start-up environment and has a platform mindset.
Excellent communicator. Demonstrated ability to succinctly communicate and describe complexvtechnical designs and technology choices both to executives and developers.
Expert in Scala coding. JVM based stack is a bonus.
Expert in big data technologies like Druid, Spark, Hadoop, Flink (or Akka) & Kafka.
Passionate about one or more engineering best practices that influence design, quality of code or developer efficiency.
Familiar with building distributed applications using webservices and RESTful APIs.
Familiarity in building SaaS platforms on either in-house data centres or public cloud providers.
NodeJS (Node.js)
MongoDB
Express• Write and maintain the back-end code as micro services & to work in API development.
• Experience in Test Driven Development.
Process Exposure:
• Able to interact with team and understand functional requirements and create design documents for new features.
• Exposure to bug fixing, maintenance, continuous integration releases.
• Participate in sprint planning and story elaboration sessions.
• Should be able to work independently contributing to Agile project.
• Experience with Test-Driven Development, Integration testing and Agile processes.
• Reviews peers code from a standard and design adherence perspective.
Python
Redis
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Full Stack Developer - Averlon