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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Diligente TechnologiesBikaner, IN
18 hours ago
Job description

Title : Senior Machine Learning Engineer

Location : Vaishnavi Signature, Bellandur, Bengaluru( hybrid2 days onsite a week)

Full time

What You Will Achieve and Key Responsibilities

Research, Design, Develop and Deploy AI models and systems

  • Lead the research and development of AI models - a varied portfolio ranging from small classifiers to fine-tuning LLM’s for specific use-cases
  • Design, implement and deploy AI-based solutions to solve business and product problems
  • Develop and implement strategies to track and improve the performance and efficiency of existing and new AI models and systems
  • Operationalize efficient dataset creation and management
  • Execute best practices for end-to-end data and AI pipelines
  • Work closely with the leadership team on research and development efforts to explore cutting-edge technologies.
  • Collaborate with cross-functional teams including full-stack engineers, product managers, QA engineers, data annotation experts, SMEs and other stakeholders to ensure successful implementation of AI technologies

Build and Mentor the AI Team

  • Work closely with the AI & Engineering Leadership to support hiring of top AI talent
  • Uphold our culture of engineering excellence by maintaining high standards in innovation & execution
  • Why This Matters

    Your contributions will be instrumental in advancing Parspec’s AI capabilities, enabling us to build intelligent systems that solve real-world problems in construction technology. By developing scalable AI solutions, you will help digitize an industry while driving innovation through state-of-the-art machine learning techniques.

    Who You Are

    You are a motivated Machine Learning Engineer with at least 5 years of relevant experience who is passionate about working on innovative projects in a dynamic environment. You thrive on solving challenging problems using advanced AI technologies.

    Minimum Qualifications

  • Bachelor’s or Master’s degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills
  • 5+ years of experience building in ML and Data science
  • Recent demonstrable hand-on experience with LLMs - integrating off-the-shelf LLM’s, fine-tuning smaller models, building RAG pipelines, designing agentic flows, and other optimization techniques with LLMs
  • Strong conceptual understanding of foundational models, transformers, and related research
  • Strong conceptual understanding of the basics of machine learning and deep learning with expertise in Computer Vision and Natural Language Processing
  • Recent demonstrable experience with managing large datasets for AI projects
  • Experience with implementing AI projects in Python and working knowledge of associated Python libraries - numpy, scipy, pandas, sklearn, matplotlib, nltk, etc.
  • Experience with Hugging Face, Spacy, BERT, Tensorflow, Torch, OpenRouter, Modal, and similar services / frameworks
  • Ability to write clean, efficient, and bug-free code.
  • Proven ability to lead initiatives from concept to operation while navigating challenges effectively.
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Preferred Qualifications

  • Recent experience with implementing state-of-the-art scalable AI pipelines for extracting data from unstructured / semi-structured sources and converting it into structured information, along with necessary technical infrastructure to support deployment
  • Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, ECS, etc.), and managed services like Bedrock, SageMaker, etc.
  • Experience with MLOps practices, e.g. model monitoring, feedback pipelines, CI / CD flows, and governance best-practices
  • Experience working with applications hosted on AWS or Django web frameworks.
  • Familiarity with databases and web application architecture.
  • Experience working with OCR tools or PDF processing libraries.
  • Completed academic or online specializations in Machine Learning or Deep Learning.
  • Track record of publishing research in top-tier conferences and journals
  • Participation in competitive programming (e.g., Kaggle competitions) or contributions to open-source projects.
  • Experience working with geographically distributed teams across multiple time zones.
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