NLP (Generative AI_LLM) 3 Days Left

1 week ago

Bengaluru, Karnataka, India alphastream Full time
Who You Are

You are someone with:

  • LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformerbased models, including GPT and their variants.
  • Language Model Training and Fine-Tuning: Experience in training largescale language models from scratch, as well as finetuning pretrained models on domain data
  • Data Preprocessing for NLP:
Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding

  • Transfer Learning and Adaptation:
Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs.- Handling Ambiguity and Context in Text: Ability to design models that effectively handle ambiguities, nuances, and context in NLP

  • Data Annotation and Evaluation:
Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics

  • Scalability and Deployment:
Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment.

What You Will Do

  • Model Training, Optimization, and Evaluation: This encompasses the complete cycle of training, finetuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retreival and extraction etc.
  • Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
Basic Qualifications

  • 5+ years' experience writing code using Python 5+ years' experience in natural language processing tools, including some of the following:
  • working with large language models
  • text classification
  • natural language generation
  • MS degree with 3+ years of experience as a machine learning engineer or researcher.
Preferred Qualifications

  • A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms.
  • Knowledge and practical experience in NLP techniques and tools, including working with language models, text classification and natural language generation.
  • Experience with frameworks: PyTorch, or Keras.
  • Skills in data preprocessing, cleaning, and analysis, with the ability to work with large datasets and extract meaningful insights.
  • The capacity to think critically and tackle complex, innovative problems in the field.
  • Willingness to continuously learn and adapt, crucial in the everevolving field of AI.
What we offer

"At we offer a dynamic and inclusive workplace where your skills are valued and your career can flourish. Enjoy competitive compensation, a comprehensive benefits package, and opportunities for professional growth. Immerse yourself in an innovative work environment, maintain a healthy work-life balance, and contribute to a diverse and inclusive culture. Join us to work with cutting-edge technology, and be part of a team that recognizes and rewards your achievements, all while fostering a fun and engaging workplace culture."


Who We Are- envisions a dynamic future for the financial world, where innovation is propelled by state-of-the-art AI technology and enriched by a profound understanding of credit and fixed-income research.

Our mission is to empower asset managers, research firms, hedge funds, banks, and investors with smarter, faster, and curated data.

We provide accurate, timely information, analytics, and tools across simple to complex financial and non-financial data, enhancing decision-making.

With a focus on bonds, loans,financials and sustainability, we offer near real-time data via APIs and PaaS (Platform as a Service) solutions that act as the bridge between our offerings and seamless workflow integration.


To learn more about us:
is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of all communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences.

Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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