
PRESCIENCE - AI/ML Engineer - NLP/Computer Vision
3 days ago
Description
- Build, train, and deploy machine learning models to address key business challenges.
- Apply advanced deep learning techniquesincluding NLP, computer vision, and recommendation systems using frameworks such as TensorFlow and PyTorch.
- Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production deployment.
- Leverage generative AI and large language models (e.g., transformers, embedding) to deliver innovative solutions.
- Partner with product and engineering teams to integrate AI capabilities into business workflows seamlessly.
- Clearly communicate model results and insights to both technical and non-technical stakeholders.
- Proven experience in data science or applied machine learning
- Analytical-minded, proactive, and results-driven.
- Excellent communicator with the ability to simplify complex ideas for any audience.
- Quick to learn, creative in problem solving, and takes ownership.
- Takes ownership, is self-motivated, and thrives in a fast-paced environment.
Requirements
- 2- 4 years of hands-on experience in data science or applied machine learning.
- Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face.
- Strong skills in data wrangling, feature engineering, and model evaluation.
- Experience with generative AI and large language models (e.g., transformers, embedding).
- Ability to build scalable end-to-end AI pipelines.
- Experience with cloud-based ML platforms (AWS, GCP, or Azure).
- Ability to stay current with emerging AI/ML trends and apply new techniques to solve real-world problems
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
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Bengaluru, Karnataka, India PRESCIENCE DECISION SOLUTIONS PRIVATE LIMITED Full time ₹ 20,00,000 - ₹ 25,00,000 per yearDescription : - Build, train, and deploy machine learning models to address key business challenges. - Apply advanced deep learning techniquesincluding NLP, computer vision, and recommendation systems using frameworks such as TensorFlow and PyTorch. - Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production...
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