Valuebound
https://www.valuebound.comAbout
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React.js
React Native
Go Programming (Golang)
Amazon Web Services (AWS)- 3-7+ years of engineering experience building full-stack applications (ideally in Go and React)
- Strong experience with event-driven architectures, message queues, and distributed systems
- Proven track record managing production databases including schema design and performance optimization
- Deep understanding of security best practices and production deployment strategies
- Experience with cloud platforms like AWS and containerization technologies
- Familiar with self-hosting (we work w on-premises deployment a lot)
- Flexibility to work across multiple languages (Go, Python, React, and potentially Rust)
- [BONUS] You have worked with Electron and are familiar with deploying desktop apps on Windows
Role Overview
As a Data Scientist, you will play a key role in improving and optimising the models that drive real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.
Specifically, you’ll:
- Develop and fine-tune Speech to Speech machine learning models
- Experiment with data-driven solutions to enhance AI performance.
- Work on feature engineering and dataset preparation to train robust models.
- Collaborate with the team to evaluate and deploy models into production.
What we’re looking for:
- Strong problem-solving skills, paired with a passion for learning.
- 1-3 years of experience in Data Science and related fields.
- Experience with speech processing or NLP.
- Proficiency in Python and familiarity with data science libraries.
- Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with working on datasets and data preprocessing techniques.
Key Responsibilities
- Produce accurate 2D mechanical drawings of CNC-machined parts and cast/casted components
- Apply GD&T per ASME Y14.5 standards to define form, fit, and function of parts
- Collaborate with manufacturing, quality, and engineering teams to iterate on designs
- Review and revise drawings based on feedback and test results
- Maintain drawing archives and ensure version control
- Support design reviews and provide technical input on manufacturability
Required Qualifications
Technical Expertise
- 2–7 years of hands-on experience in 2D mechanical drafting, with a primary focus on CNC machining and casting
- Proficient in SOLIDWORKS for creating and editing detailed drawings
- Strong working knowledge of GD&T principles
- ASME Y14.5 certification is strongly preferred but not mandatory
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonJob Overview
We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1
product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast
approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and
deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,
while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-
paced environments is critical.
Responsibilities
Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms
like Meta, Azure OpenAI, Claude, and Mistral.
Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI
models with business requirements and user needs.
Build secure, scalable, and efficient SaaS products that embody robust data management and comply
with security and governance standards.
Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions
with business strategies and customer expectations.
Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize
performance through techniques like quantization and model tuning.
Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring
cost optimization while maintaining performance and scalability.
Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually
accurate and relevant outputs.
Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and
flexible product architecture.
Monitor product performance post-launch, iterating and improving models and infrastructure to
enhance user experience and scalability.
Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative
solutions in product development.
Qualifications
Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.
6+ years of experience in product development, with at least 2 years focused on AI-based SaaS
products.
Demonstrated experience in leading the development of SaaS products, from ideation to deployment,
with a focus on AI-driven features.
Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based
services (AWS, Azure, Google Cloud).
Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,
CNNs, RNNs, Transformers), and integrating models into SaaS environments.
Solid understanding of SaaS product lifecycle management, including customer-focused design,
product-market fit, and post-launch optimization.
Excellent communication and collaboration skills, with the ability to work cross-functionally and drive
SaaS product success.
Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and
performance.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
C++Key Responsibilities :
- Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications.
- Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements
- Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision.
- Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
- Documentation : Maintain code quality and document solutions for easy reference.
Qualifications :
- Experience : 3 or 3+ years in computer vision, deep learning, and AI.
- Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field.
Technical Skills :
- Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV.
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Knowledge of algorithms and data structures relevant to computer vision.
- Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
- Concepts of parallel architecture on GPU is an added advantage.
- Knowledge in linear algebra, calculus, and statistics
- Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)
KubernetesWhat you’ll do
- Tame data → pull, clean, and shape structured & unstructured data.
- Orchestrate pipelines → Airflow / Step Functions / ADF… your call.
- Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI.
- Scale → Spark / Databricks for the heavy lifting.
- Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow.
- Pair up → work with engineers, architects, and business folks to solve real problems, fast.
What you bring
- 3+ yrs hands-on MLOps (4-5 yrs total software experience).
- Proven chops on one hyperscaler (AWS, Azure, or GCP).
- Confidence with Databricks / Spark, Python, SQL, TensorFlow / PyTorch / Scikit-learn.
- You debug Kubernetes in your sleep and treat Dockerfiles like breathing.
- You prototype with open-source first, choose the right tool, then make it scale.
- Sharp mind, low ego, bias for action.
Nice-to-haves
- Sagemaker, Azure ML, or Vertex AI in production.
- Love for clean code, clear docs, and crisp PRs.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavascriptResponsibilities:
- Work experience in IT operations in mid to enterprise size environments.
- - Must have a strong understanding of industry trends and Customized Drupal development (content management system).
- - Hands on Experience working with Drupal, PHP/MySQL, JavaScript, and jQuery, JSON/XML formats.
- - Good experience in developing Customized Modules using Drupal and integrate it with the system.
- - Must have a good experience as a Backend Drupal Developer, with good understanding to consume data from Backend layer and pass it to Frontend.
- - Responsible for designing and implementing the functionality and turn it into a working feature.
- - Good understanding of Site Development.
- - Ensuring the communication between Frontend and Backend layers.
- - Responsible for High Performance and availability of the system and managing all technical aspects of Drupal CMS.
- - Work closely with front-end developers and customers to ensure an effective, visually appealing, and intuitive implementation.
- - Good communication skills.
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About SnapHyr – Precision Talent for Trading-Critical Teams
At SnapHyr, we specialize in building high-performance teams for high-frequency trading (HFT), quantitative research, and systematic strategy desks.
We’re not a generalist recruitment firm.
We operate exclusively within the trading and quantitative technology ecosystem — helping firms hire talent across low-latency engineering, quant research, portfolio management, and market infrastructure.
Our clients are proprietary trading firms, hedge funds, and strategy-driven asset managers who value speed, discretion, and depth over scale.
🎯 Our Focus
We work with trading organizations where performance depends not just on great code, but on microseconds of latency, the sharpness of alpha signals, and execution that holds up in live markets.
Our value lies in identifying talent that already understands this — people who’ve built real strategies, shipped production-grade infrastructure, and worked on live books with clear PnL responsibility.
🧠 What We Specialize In:
- Quant Researchers & Traders (Stat Arb, Delta One, Options, MFT, Volatility)
- C++/Rust Engineers building low-latency, tick-to-trade systems
- Python Developers for quant platforms, signal research, and backtesting
- FPGA & Market Data Infra Engineers focused on co-location and protocol-level parsing
- Execution Traders & Risk Engineers working across multi-asset desks
- Portfolio Managers & Desk Leads with strategy ownership and team-building responsibility
🔍 How We Work
SnapHyr works with a simple belief: high-impact roles require precision, not pipelines.
We engage directly with decision-makers — founders, CTOs, heads of trading — to understand not just what needs to be hired, but why it matters to the desk’s performance.
Every search is bespoke. We map requirements by latency thresholds, alpha generation mandates, or strategy expansion plans — not cookie-cutter job descriptions.
We’ve delivered on mandates where:
- Portfolio managers needed to be hired in stealth, with domain overlap and risk alignment
- Trading teams were looking for C++ engineers who’d worked on systems sub-10μs
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We maintain a tightly curated network of high-signal professionals:
- Engineers from top-tier trading firms and deep-tech startups
- Researchers from IITs, PhDs, Olympiad winners, and applied ML backgrounds
- Ex-FAANG tech leads who’ve transitioned into quant
- Execution professionals with multi-year, multi-asset trading exposure
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🤝 Who We Work Best With
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learners point
About the company
"Learners Point" refers to several different educational and training institutions, so it's important to clarify which one you're interested in. Here's a breakdown of some prominent ones:
1. Learners Point Academy (Dubai, UAE & India)
- Overview: This is a well-recognized, ISO 9001:2015 certified institute that has been providing corporate and individual training in the MENA region since 2001. They are KHDA-accredited in Dubai and have expanded to India (Bangalore and Kozhikode).
- Mission: To empower individuals and organizations with skills for success in a rapidly changing world through transformative learning experiences.
- Courses Offered: They offer a wide range of certified courses across various domains, including:
- IT: Data Science, AI, Machine Learning, Cybersecurity, UI/UX, Web Development, ERPs (SAP), Microsoft Power Platforms.
- Finance: Certified Management Accountant (CMA), Financial Modeling, IFRS.
- Management & HR: Certified HR Manager (CHRM), Strategic HR Management, Project Management (PMP), Leadership Skills, Business Administration.
- Logistics and Supply Chain: CIPS accreditations.
- Sales and Marketing: Digital Marketing, Social Media Marketing.
- Soft Skills: Communication, Public Speaking, Emotional Intelligence.
- Language Training: Spoken English, Arabic, French, German, Russian.
- Key Features:
- Customized training solutions for individuals and corporates.
- Experienced and qualified trainers.
- Focus on practical, career-oriented skills.
- Accreditations from recognized bodies like KHDA, CPD UK, HRCI, and CIPS.
- Locations:
- Dubai, UAE: Suite 610 - 6th Floor, The Business Center, Opp to Burjuman Centre, Adjacent to Burjuman Metro Station Exit 4, Khalid Bin Walid Street.
- Bangalore, India: No. 460/454, 3rd Floor, HSR Layout, 5th Sector, Teachers Colony, Sarjapura Ring Road, Bangalore, Karnataka.
- Kozhikode, India: 2nd Floor, Agni Arcade, Kodamalikunn Medical College, Thondayad, Kozhikode, Kerala.
- Reviews: Generally positive reviews highlight responsive staff, helpful instructors, and well-organized course material, with many students successfully clearing certifications.
2. Learning Point Foundation (Bangalore, India)
- Overview: This is a foundation primarily focused on providing education and support to underprivileged individuals in Bangalore's slum areas, including dropouts and women.
- Mission: To make education accessible to all, empower individuals and communities to break the cycle of poverty, and build a bright future.
- Key Initiatives:
- Educating underprivileged communities.
- Encouraging dropout students (offering NIOS system for 10th and 12th standard).
- Empowering women.
- Supporting Huffaz & Aalims with modern education and skills.
- Youth education.
- Counselling and aid.
- Location: No. 2/1, 1st Cross, Masjid Street, BSA Road, Bengaluru, Karnataka 560005.
- Reviews: Positive reviews commend their initiative in educating economically deprived youth and providing a supportive learning environment.
3. Learners Point Commerce Academy (LPCA) (Gurgaon, India)
- Overview: This academy specializes in providing coaching for commerce students, including Class XI, XII (CBSE & ICSE), and professional courses like CA (CPT, IPCC, Final), CS, and ICWA.
- Key Features:
- Result-oriented approach with a focus on practical application.
- Specialized and experienced faculty.
- Comprehensive study material.
- Small batch sizes for personalized attention.
- Location: Block – C, 1306-1307, Lower Ground Floor, Sushant Lok-1, Gurgaon- 122002, Haryana, Delhi NCR, India.
4. The Learning Point (India - various locations/focuses)
- There are also other entities named "The Learning Point" or similar, which might focus on specific areas like:
- NEET/JEE Coaching: Some "Learning Point" institutes offer coaching for competitive exams like NEET and JEE in India.
- Programming/IT Training: Another "Learners Point" in Siliguri, West Bengal, focuses on programming courses (Java, Python, Web Designing, Android App Development, etc.).
- CAD Training: A "Learners Point" in Coimbatore, Tamil Nadu, specializes in CAD training (AutoCAD, Solidworks, 3ds Max, Catia).
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ZestFindz Private Limited is a Hyderabad-based startup founded in February 2025.
We simplify online retail by offering a curated marketplace for everyday essentials, fashion, home goods, skincare, and more backed by powerful seller tools. Our goal: make selling and shopping seamless with solid tech, transparent operations and customer-first design.
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