Valuebound

• 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

Job 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.

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)

What 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.

Responsibilities:

• 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.