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12 Draup Jobs

Senior Data Scientist Draup

5-7 years

Bangalore / Bengaluru

1 vacancy

Senior Data Scientist Draup

Draup

posted 1mon ago

Job Description


Job Summary
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this
role, you will leverage advanced Natural Language Processing (NLP), Deep Learning, and
traditional Machine Learning (ML) techniques to build and optimize our NLP-driven products
and services. You will work closely with cross-functional teams to develop scalable, highperformance NLP models that solve complex language and data-related challenges. If you are
passionate about advancing language understanding and have hands-on experience with the
latest NLP frameworks, models, and techniques, we would love to speak with you!
Responsibilities
  • Model Development and Optimization: Design, build, and deploy NLP models,
    including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as
    well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for
    specific applications.
  • Data Processing and Feature Engineering: Develop robust pipelines for text
    preprocessing, feature extraction, and data augmentation for structured and
    unstructured data.
  • Model Fine-Tuning and Transfer Learning: Fine-tune large language models for specific
    applications, leveraging transfer learning techniques, domain adaptation, and a mix of
    deep learning and traditional ML models.
  • Performance Optimization: Optimize model performance for scalability and latency,
    applying techniques such as quantization, ONNX formats etc.
  • Research and Innovation: Stay updated with the latest research in NLP, Deep Learning,
    and Generative AI, applying innovative solutions and techniques (e.g., RAG
    applications, Prompt engineering, Self-supervised learning).
  • Stakeholder Communication: Collaborate with stakeholders to gather requirements,
    conduct due diligence, and communicate project updates effectively, ensuring
    alignment between technical solutions and business goals.
  • Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model
    evaluation, including cross-validation, and error analysis, ensuring models meet
    accuracy, fairness, and reliability standards.
  • Deployment and Monitoring: Oversee the deployment of NLP models in production,
    ensuring seamless integration, model monitoring, and retraining processes.
Requirements
Minimum Qualifications
  • Education: Bachelor s degree in computer science, or a related field.
  • Experience: Minimum of 2.5 to 5 years of experience in NLP, Deep Learning, and ML,
    with a proven track record of developing and optimizing both LLM and traditional
    machine learning NLP models.
Technical Skills
  • Advanced NLP Techniques: Proficiency in transformer models (e.g., BERT, RoBERTa,
    GPT, T5), and experience with techniques like entity recognition (NER), text
    classification, summarization, question answering, and language generation.
  • Programming: Strong programming skills in Python, with experience in NLP libraries
    such as Hugging Face Transformers, spaCy, NLTK, and Gensim.
  • ML and DL Frameworks: Proficiency in ML and Deep Learning frameworks such as
    TensorFlow, PyTorch, and Scikit-learn.
  • Traditional ML Techniques: Familiarity with traditional ML models like SVMs, Logistic
    Regression, Decision Trees, and KNN etc
  • Evaluation Metrics: Familiarity with NLP and ML evaluation metrics (e.g., BLEU,
    ROUGE, F1, accuracy, precision, recall) and experience designing experiments and
    tests.
Soft Skills
  • Communication Skills: Excellent verbal and written communication skills, capable of
    explaining technical concepts to both technical and non-technical stakeholders.
  • Enthusiasm for Learning: A self-motivated individual with a passion for continuous
    learning and openness to exploring new technologies.
  • Teamwork and Collaboration: A team player with the ability to work effectively in a
    collaborative, fast-paced environment.
Functions: Platform

Employment Type: Full Time, Permanent

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What people at Draup are saying

4.0
 Rating based on 1 Senior Data Scientist review

Likes

Challenging work, good support from Manager. Lot to learn. Good and free food

  • Salary - Excellent
  • +5 more
Dislikes

Pressure to deliver faster. Lacks company’s goal and direction

Read 1 Senior Data Scientist review

Senior Data Scientist salary at Draup

reported by 4 employees with 4-8 years exp.
₹35 L/yr - ₹54 L/yr
73% more than the average Senior Data Scientist Salary in India
View more details

What Draup employees are saying about work life

based on 94 employees
82%
100%
78%
89%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Draup Benefits

Work From Home
Job Training
Free Food
Cafeteria
Health Insurance
Free Transport +6 more
View more benefits

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