Data Scientist - Bengaluru - Perfios

    Perfios
    Perfios Bengaluru

    7 hours ago

    ₹80,000 - ₹1,200,000 (INR) per year Accounting / Finance
    Description

    Key Responsibilities:

    • Develop and implement NLP-focused ML/DL solutions to power innovative, AI-driven products and features.
    • Build and optimize models for text classification, entity recognition, summarization, semantic search, and document understanding.
    • Work with traditional ML algorithms (Logistic Regression, SVM, Random Forest, XGBoost, etc.) and deep learning models (RNN, LSTM, GRU, Transformers).
    • Design and leverage embeddings for semantic similarity, clustering, and vector-based retrieval.
    • Explore and integrate Generative AI techniques into NLP applications like summarization, Q&A, and conversational systems.
    • Implement and optimize transformer architectures (BERT, RoBERTa, GPT, etc.) for real-world production workloads.
    • Collaborate with cross-functional teams to collect, clean, and preprocess unstructured textual data.
    • Deploy, monitor, and maintain models using MLOps best practices including containerized deployments (Docker, Kubernetes) and CI/CD pipelines.
    • Stay updated with cutting-edge research by reading research papers, blogs, and technical reports to bring the latest techniques into production.
    • Continuously enhance system performance and scalability by applying first-principles mathematical reasoning.

    Qualifications:

    • Bachelor's or Master's degree in Data Science, Computer Science, AI/ML, Statistics, or a related field.
    • 3+ years of experience in Data science or machine learning roles with a strong focus on text-based solutions.

    Technical Skills

    • Solid foundation in traditional ML algorithms and deep learning architectures.
    • Strong hands-on experience with sequence modeling techniques (RNN, LSTM, GRU) and state-of-the-art transformer architectures, including the BERT family and GPT-based models.
    • Strong knowledge of Data Structures and Operating System fundamentals
    • Good understanding of embeddings, semantic similarity techniques, and vector databases.
    • Knowledge of hyperparameter tuning strategies and model optimization techniques.
    • Strong grasp of mathematical fundamentals: Linear Algebra, Probability, Statistics, Optimization, and Calculus.
    • Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras.
    • Experience with SQL and preferably NoSQL databases.
    • Familiarity with MLOps concepts and tools for scalable deployment.
    • Awareness of Generative AI and its applications in NLP.

    Preferred Skills:

    • Exposure to multi-agent orchestration frameworks (LangChain, LangGraph, MCP, etc.).
    • Experience with retrieval-augmented generation (RAG) and vector search pipelines.
    • Familiarity with containerized deployments using Docker and Kubernetes.
    • Working knowledge of cloud platforms (AWS, GCP, Azure).
    • Understanding of version control systems like Git.

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