Machine Learning Architect

2 days ago

Delhi, Delhi, India Merit Data and Technology Full time
Senior NLP Developer Position

We are seeking a highly skilled and experienced Senior NLP Developer to contribute to our dynamic team.

The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs).

  • NLP Model Development:
    • Design, develop, and implement ML models and algorithms to solve complex problems.
    • Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation.
    • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Deep Learning:
    • Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras.
    • Optimize DL models for performance and scalability.
    • Stay updated with the latest advancements in DL and apply them to improve existing models.
  • Large Language Models:
    • Develop and fine-tune large language models for various NLP tasks.
    • Implement prompt engineering techniques to enhance model performance and accuracy.
    • Experiment with state-of-the-art LLM architectures and methodologies.
  • Software Development:
    • Write clean, maintainable, and efficient code in Python.
    • Conduct code reviews and ensure adherence to best practices and coding standards.
    • Implement version control using Git and collaborate with the development team through GitHub or similar platforms.
  • Data Handling:
    • Work with large datasets and perform data preprocessing, cleaning, and augmentation.
    • Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle.
  • Research and Innovation:
    • Stay abreast of the latest research and developments in the field of ML, DL, and LLMs.
    • Propose and explore innovative solutions to improve model performance and address new challenges.
  • Mentorship:
    • Mentor and guide junior ML engineers and team members.
    • Share knowledge and best practices within the team to foster a collaborative and learning environment.

Areas of Expertise:

  • NLP Model Development: Develop, implement, and fine-tune NLP models for a variety of applications, including text classification, semantic similarity searches, named entity recognition, and chatbots.
  • Machine Learning: Design, train, and evaluate machine learning models to enhance NLP solutions, including deep learning approaches such as transformers.
  • Data Preprocessing: Handle data preprocessing tasks, such as text cleaning, tokenization, and feature engineering, to optimize model performance.
  • Feature Engineering: Extract and engineer meaningful features from text data to improve model accuracy and efficiency.
  • Evaluation and Optimization: Continuously assess model performance, fine-tune hyperparameters, and optimize models for real-world deployment.
  • ML Pipeline: ML model deployment lifecycle tools like (MLflow)
  • LLMs: usage of Large Language Model to simplify various tasks
  • Research and Innovation: Stay updated with the latest NLP and machine learning research, and actively contribute to the development of state-of-the-art models and techniques.
  • Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure seamless integration of NLP solutions into our products.
  • Documentation: Maintain thorough documentation of code, models, and processes for knowledge sharing and team collaboration.

Qualifications:

  • Bachelor's or higher degree in computer science, machine learning, artificial intelligence, or a related field.
  • Proven experience in developing NLP applications and machine learning models, with at least [5 years] years of relevant work experience.
  • Strong proficiency in programming languages such as Python and knowledge of NLP libraries and frameworks like NLTK, spaCy's, Transformers, or Hugging Face.
  • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Should have experience on working with LLM
  • Should have worked on RAG pipeline
  • Strong understanding of NLP techniques, including word embeddings, attention mechanisms, and sequence-to-sequence models.
  • Excellent problem-solving skills and a data-driven approach to decision-making.
  • Strong communication skills and the ability to work in a collaborative team environment.
  • A track record of publishing research papers, contributing to open-source NLP projects, or participating in NLP competitions is a plus.

Estimated Salary: $160,000 - $220,000 per year

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