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
Shubham Vishwakarma
Full Stack Developer - Averlon
About ClanX
About
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
PythonMachine Learning (ML)Candid answers by the company
The job location is Bangalore, hybrid
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon