Responsibilities:
- 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
Requirements:
• 3-5 yrs of experience in data science with 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 tools.
• Start-up experience is a plus, particularly in roles leveraging Gen AI and NLP for product or 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, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia.
Job Type: Full-time
Pay: ₹1,500,000.00 - ₹2,400,000.00 per year
Work Location: In person
