Valuebound
https://www.valuebound.comAbout
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Jobs at Valuebound
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.
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.
Valuebound is a technology services firm trusted by enterprises and high-growth startups to solve complex digital challenges. We specialize in Digital Transformation, CMS platforms, and AI/ML-led innovation. Our clients include Fortune 500 companies and global organizations across sectors like BFSI, Media, Healthcare, and Manufacturing.
We are seeking a dynamic and results-driven Sales Growth Strategist to join our team. The ideal candidate will possess a solution-oriented mindset, a holistic approach to problem-solving, and a proven track record as a go-getter. This role will focus on understanding business needs, developing effective selling strategies, and driving revenue growth through innovative solutions.
Key Responsibilities:
- Understand Business Needs: Collaborate with stakeholders to identify and analyze business needs, ensuring alignment with overall company objectives.
- Lead Generation to Conversion: Identify potential leads, nurture relationships, and convert them into long-term clients.
- Client Relationship Management: Build and maintain strong relationships, ensuring a deep understanding of the client's business needs and delivering relevant solutions.
- Solution Crafting: Analyze client requirements and work with internal teams to design solutions that the client will buy into, demonstrating the value proposition effectively.
- Sales Strategy: Develop and execute a strategic plan to meet sales targets, including upselling and cross-selling opportunities.
- Develop Selling Strategies: Create and implement effective sales strategies that enhance customer engagement and drive growth.
- Cross-Selling and Upselling: Identify opportunities for cross-selling and upselling to maximize revenue potential from existing customers.
- Market Forecasting: Conduct market research and analysis to inform sales strategies and anticipate market trends.
- Performance Tracking: Monitor sales performance and adjust strategies as needed to achieve targets.
Qualifications:
- Proven experience in sales, with a focus on growth strategies and business development.
- Strong solution-oriented mindset with a holistic approach to problem-solving.
- Excellent communication and interpersonal skills, with the ability to build rapport with clients.
- Quick learner with the ability to adapt to changing market conditions.
- Experience in a startup environment is a plus.
- Strong analytical skills to assess market trends and performance metrics.
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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
About Valuebound
Valuebound is a technology services firm trusted by enterprises and high-growth startups to solve complex digital challenges. We specialize in Digital Transformation, CMS platforms, and AI/ML-led innovation. Our clients include Fortune 500 companies and global organizations across sectors like BFSI, Media, Healthcare, and Manufacturing.
As we continue to scale, we’re looking for an experienced Account Manager who will serve as the strategic point of contact for our key enterprise and mid-market accounts, someone who can foster long-term client relationships, drive revenue growth, and ensure seamless project delivery in collaboration with our delivery, AI, and pre-sales teams.
Key Responsibilities
- Client Relationship Management
- Build strong, lasting relationships with CXOs, business heads, and key stakeholders across client organizations.
- Act as the primary point of contact for ongoing engagements, ensuring high client satisfaction and proactive communication.
- Conduct regular QBRs (Quarterly Business Reviews) and strategic check-ins with clients.
- Account Growth & Revenue Ownership
- Own revenue targets for assigned accounts and work towards achieving growth through upselling, cross-selling, and renewals.
- Identify opportunities to expand Valuebound’s footprint by understanding client pain points and aligning our capabilities (CMS, Digital Engineering, AI/ML, etc.).
- Collaborate with pre-sales and delivery teams to create tailored proposals and pitch new solutions.
- Project Oversight & Delivery Collaboration
- Serve as the bridge between client expectations and internal teams to ensure timely and quality delivery of services.
- Work closely with project managers, solution architects, and engineering leads to proactively mitigate risks or delivery challenges.
- Escalate and resolve client issues effectively and with urgency.
- Strategic Planning & Account Mapping
- Map key stakeholders and decision-makers within client organizations to understand business priorities and influence strategy.
- Stay on top of client industry trends and how they might impact the client’s roadmap or create new opportunities for Valuebound.
- Operational Excellence
- Maintain up-to-date account health dashboards, risk logs, and expansion plans.
- Ensure adherence to CRM hygiene, reporting frameworks, and internal governance processes.
Key Skills & Competencies
- Strong client relationship and stakeholder management capabilities.
- Excellent verbal and written communication skills, including storytelling, executive presentations, and negotiation.
- Strong strategic thinking and commercial acumen, and the ability to align client goals with Valuebound’s service offerings.
- High responsiveness, ownership mindset, and a proactive approach to solving problems.
- Collaborative team player who can work closely with delivery, marketing, pre-sales, and leadership teams.
Preferred Qualifications & Experience
- 3–6 years of experience in a client-facing role within a technology services company.
- Prior experience managing enterprise and mid-market clients (mandatory).
- Proven track record in retaining and expanding key accounts.
- Exposure to international clients (especially US-based) is a strong plus.
- Understanding of digital transformation, CMS (Drupal/Adobe/WordPress), AI/ML, or custom product development services.
- Bachelor’s degree in Business, Engineering, or related fields; MBA is a plus.
What You’ll Love About Valuebound
- Work with cutting-edge clients across industries and geographies.
- Collaborate with teams building AI products, next-gen CMS solutions, and more.
- Flat, transparent, and ambitious work culture focused on growth and innovation.
- Opportunity to grow into a leadership role as we scale toward ₹100 Cr ARR.
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