- LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions and turn unstructured data into a valuable business asset.
- We specialize in Predictive Modelling, Marketing Analytics, Big Data Analytics, Advanced Analytics, Web Analytics, Data Science, Data Engineering, Artificial Intelligence and Machine Learning Applications.
- LatentView Analytics is a trusted partner to enterprises worldwide, including more than two dozen Fortune 500 companies in the retail, CPG, financial, technology and healthcare sectors.
We are seeking a highly skilled and experienced Data Scientist / Artificial Intelligence Engineer to join our dynamic team. The ideal candidate will have a strong background in data science, machine learning modeling, deep learning, natural language processing (NLP) and LLM (Large language model). You will play a crucial role in developing and deploying advanced machine learning solutions that drive business insights and innovation.
- Develop and implement machine learning models and algorithms for various data-driven projects.
- Work on NLP use cases, including text classification, and language modeling.
- Utilize deep learning techniques to solve complex problems and enhance model performance.
- Explore and preprocess large datasets to extract valuable insights.
- Contribute to model deployment and MLOps practices, including building web services and APIs.
- Stay up-to-date with the latest advancements in AI and machine learning technologies.
- Collaborate with cross-functional teams to gather requirements and deliver AI solutions that meet business objectives.
- Evaluate and integrate third-party AI tools and libraries when necessary.
Experience & Skills:
- Minimum of 4 years of hands-on experience in data science and machine learning.
- Proven track record of working on NLP projects and language modeling.
- Strong expertise in deep learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python for data analysis, modeling, and scripting.
- Experience with MLOps practices, model deployment, and creating web services/APIs.
- Solid understanding of statistical analysis and data visualization.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
- Exposure to Large Language Models (LLM) or experience in the legal domain.
- Knowledge of Azure Databrick or PySpark.