Gen AI Lead

About Straive:

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client’s success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers & workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company.

headquarters in Singapore. Website: https://www.straive.com/ Linkedin

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Roles and Responsibilities

You will help our clients solve real-world problems by tracing the data-to-insights lifecycle:

• Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data.
• Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data.

Skills and Qualifications

• Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute.
• Total 7+ years of experience using analytical tools/languages like Python on large-scale data.
• Must have Semantic model & NER experience.
• Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases.
• Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, and GPT (or similar models), Open CV.
• Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering.
• Experience using Azure services for ML & GenAI projects is a plus.
• Demonstrated ability to engage with client stakeholders.
• Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining.
• Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project..
• Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning.
• Coding skills in one or more programming languages such as Python, SQL.
• Hands-on experience with popular ML frameworks such as TensorFlow.
• Expert/high level of understanding of language semantic concepts & data standardization.