
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

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
Candid answers by the company
The job location is Bangalore, hybrid
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Start your #CognitiveProcurement journey with us, as you are #MeantforMore
Click here to Apply :
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To be responsible for delivering all facets of recruiting throughout the organization through the development of present and future recruiting plans, employing traditional sourcing strategies and resources as well as developing new, creative recruiting ideas, and ensuring successful execution of all the hiring requirements of the organization. Should possess excellent reporting skills with Excel.
Primary Responsibilities:
- Ownership of Respective Unit recruitment process (Requisition, strategizing & planning recruitment events, monitoring, measuring, controlling, and continuous improvement).
- End-to-end Recruitment cycle (Sourcing/Selection/ on-boarding / Process compliance/ MIS)
- Would Individually be responsible for fulfilling all roles assigned
- Implement creative sourcing strategies for future & current open positions & execute them with minimal direction.
- Define recruitment SLAs, establish metrics, and create MIS.
- Identify effectively utilize the various resource of recruitment to ensure target achievement.
- Plan and strategize recruitment drives.
- Bring in continuous improvements in sourcing, interview & selection process.
- Create and maintain job Descriptions for all positions and establish competency levels.
QUALIFICATIONS and EXPERIENCE:
- Qualifications: PG in HR (MBA, PGDM, PGP etc) / B.E, BTech
- Experience: 6-10 Years Experience
- Professional skills: Expert knowledge of sources of talent and recruitment, IT skills, technologies & industry. Preferred from Product Engineering / Product Support / Apps domain with bulk-hiring experience
ADDITIONAL COMPETENCIES:
- Excellent communication skills and ability to engage and influence senior executives and delivery managers.
- Decision-Making: Ability to make decisions that impact the success of assigned recruitment activities, i.e. results, deadlines, and budget and involves team members in making decisions to ensure senior and executive management is informed of the Company's ongoing recruitment process and future plans.
- Ability to delegate effectively and acknowledge accomplishments.
- Presentation Skills: able to demonstrate a sound knowledge of the subject matter expert ability to deliver information in a clear, concise, and logical manner and use audio-visual media to enhance presentations.
- Reporting Skill: Ability to create reports using various formulas in Excel (Vlookup, Pivot Etc)
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