Bangalore, Karnataka, India
Information Technology
Full-Time
Prismforce
Overview
Responsibilities
business innovations.
Required Skills
- Identify relevant data sources a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges.
- Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
- Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience.
- Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis.
- Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling.
- Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions.
- Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges.
- Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders.
- Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI
- Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in
business innovations.
Required Skills
- Machine Learning, Deep Learning, Algorithms
- Computer Science, Engineering, Operations Research
- Math Skills, Communication Skills, SAAS Product, IT Services
- Artificial Intelligence, ERP
- Product Management, Automation, Analytical Models
- Predictive Models, NLP
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