ClanX
https://clanx.aiAbout
ClanX brings world-class product builders together as cloud-based teams and connects them with companies that have meaningful product missions.
Our vision is to transform the way companies and talent collaborate, creating a harmonious ecosystem where both thrive, inspire, and achieve greatness together.
Innovation and simplicity are at the core of our DNA. Through our revolutionary AI-powered platform, we seamlessly connect exceptional talent with visionary companies, crafting the perfect match.
Our transformative platform orchestrates partnerships that inspire greatness, bringing together the world’s best minds and companies to shape a future of limitless possibilities in the tech world.
Tech stack
Python
Machine Learning (ML)Candid answers by the company
The job location is Bangalore, hybrid
Company social profiles
Jobs at ClanX
PythonMachine Learning (ML)This opportunity through ClanX is for Parspec (direct payroll with Parspec)
Please note you would be interviewed for this role at Parspec while ClanX is a recruitment partner helping Parspec find the right candidates and manage the hiring process.
Parspec is hiring a Machine Learning Engineer to build state-of-the-art AI systems, focusing on NLP, LLMs, and computer vision in a high-growth, product-led environment.
Company Details:
Parspec is a fast-growing technology startup revolutionizing the construction supply chain. By digitizing and automating critical workflows, Parspec empowers sales teams with intelligent tools to drive efficiency and close more deals. With a mission to bring a data-driven future to the construction industry, Parspec blends deep domain knowledge with AI expertise.
Requirements:
- Bachelor’s or Master’s degree in Science or Engineering.
- 5-7 years of experience in ML and data science.
- Recent hands-on work with LLMs, including fine-tuning, RAG, agent flows, and integrations.
- Strong understanding of foundational models and transformers.
- Solid grasp of ML and DL fundamentals, with experience in CV and NLP.
- Recent experience working with large datasets.
- Python experience with ML libraries like numpy, pandas, sklearn, matplotlib, nltk and others.
- Experience with frameworks like Hugging Face, Spacy, BERT, TensorFlow, PyTorch, OpenRouter or Modal.
Requirements:
Must haves
- Design, develop, and deploy NLP, CV, and recommendation systems
- Train and implement deep learning models
- Research and explore novel ML architectures
- Build and maintain end-to-end ML pipelines
- Collaborate across product, design, and engineering teams
- Work closely with business stakeholders to shape product features
- Ensure high scalability and performance of AI solutions
- Uphold best practices in engineering and contribute to a culture of excellence
- Actively participate in R&D and innovation within the team
Good to haves
- Experience building scalable AI pipelines for extracting structured data from unstructured sources.
- Experience with cloud platforms, containerization, and managed AI services.
- Knowledge of MLOps practices, CI/CD, monitoring, and governance.
- Experience with AWS or Django.
- Familiarity with databases and web application architecture.
- Experience with OCR or PDF tools.
Responsibilities:
- Design, develop, and deploy NLP, CV, and recommendation systems
- Train and implement deep learning models
- Research and explore novel ML architectures
- Build and maintain end-to-end ML pipelines
- Collaborate across product, design, and engineering teams
- Work closely with business stakeholders to shape product features
- Ensure high scalability and performance of AI solutions
- Uphold best practices in engineering and contribute to a culture of excellence
- Actively participate in R&D and innovation within the team
Interview Process
- Technical interview (coding, ML concepts, project walkthrough)
- System design and architecture round
- Culture fit and leadership interaction
- Final offer discussion
Machine Learning (ML)PythonThis opportunity through ClanX is for Parspec (direct payroll with Parspec)
Please note you would be interviewed for this role at Parspec while ClanX is a recruitment partner helping Parspec find the right candidates and manage the hiring process.
Parspec is hiring a Machine Learning Engineer to build state-of-the-art AI systems, focusing on NLP, LLMs, and computer vision in a high-growth, product-led environment.
Company Details:
Parspec is a fast-growing technology startup revolutionizing the construction supply chain. By digitizing and automating critical workflows, Parspec empowers sales teams with intelligent tools to drive efficiency and close more deals. With a mission to bring a data-driven future to the construction industry, Parspec blends deep domain knowledge with AI expertise.
Requirements:
- 3 to 4 years of relevant experience in ML and AI roles
- Strong grasp of ML, deep learning, and model deployment
- Proficient in Python and libraries like numpy, pandas, sklearn, etc.
- Experience with TensorFlow/Keras or PyTorch
- Familiar with AWS/GCP platforms
- Strong coding skills and ability to ship production-ready solutions
- Bachelor's/Master's in Engineering or related field
- Curious, self-driven, and a fast learner
- Passionate about NLP, LLMs, and state-of-the-art AI technologies
- Comfortable with collaboration across globally distributed teams
Preferred (Not Mandatory):
- Experience with Django, databases, and full-stack environments
- Familiarity with OCR and PDF processing
- Competitive programming or Kaggle participation
- Prior work with distributed teams across time zones
Responsibilities:
- Design, develop, and deploy NLP, CV, and recommendation systems
- Train and implement deep learning models
- Research and explore novel ML architectures
- Build and maintain end-to-end ML pipelines
- Collaborate across product, design, and engineering teams
- Work closely with business stakeholders to shape product features
- Ensure high scalability and performance of AI solutions
- Uphold best practices in engineering and contribute to a culture of excellence
- Actively participate in R&D and innovation within the team
Interview Process
- Technical interview (coding, ML concepts, project walkthrough)
- System design and architecture round
- Culture fit and leadership interaction
- Final offer discussion
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About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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With a client-centric approach, Ecosmob also offers consulting, offshore development, and technical support services to ensure seamless business integration. Its portfolio includes projects like 911 Notification Systems, Asterisk Billing Solutions, PBX in USB, Web Click2Call, and Fax over IP, among others. Committed to excellence and innovation, Ecosmob continues to expand its global presence, helping businesses achieve measurable value through technology and domain expertise.
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Headquartered in Austin, Texas with a global team of over 1,500 employees, Planview combines deep market expertise with a culture of innovation and customer obsession. Our platform is consistently recognized by industry analysts for leadership and vision, and we continue to expand our global footprint—including a strong presence in India—to support enterprises across industries. At Planview, you’ll join a fast-growing company shaping the future of connected work, helping organizations deliver on what matters most.
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Our Secret Sauce
We're proud of our comprehensive suite of tools that work together seamlessly:
- Want to create meaningful interactions? Our dynamic UX library has got you covered
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- Looking to create personalized customer journeys? Our user flows are here to help
- Want to incentivize actions? Our reward engine makes it simple
- Plus, we've got powerful experimentation capabilities and analytics tools to track it all
The best part? We integrate with over 25 popular tools like Mixpanel, Amplitude, Segment, and Braze. We believe in making your existing tech stack work better, not replacing it!
Our Team
We're led by our passionate co-founders, Kanishka Thakur (CEO) and Gaurav Rawat. Under Kanishka's leadership, we're pushing the boundaries of what's possible in personalization and experimentation.
Our Growth Story
We're backed by some amazing investors who believe in our vision. Our journey started with initial backing from GradCapital, and we've since received support from Antler. We're excited to share that we recently closed our Pre-Seed round in 2024, which is helping us accelerate our mission even faster!
What Makes Us Different:
We understand that every user is unique, and their experience should be too. That's why we've built our platform to personalize across multiple dimensions - content, timing, incentives, and UI. Whether you're running A/B tests, creating personalized journeys, or analyzing user behavior, we make it simple and effective.
Want to see how we can transform your user experiences? We'd love to show you around our platform - check out our website or the demo below!
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