Deqode
Website:
deqode.com
Job details:
Job Description
We are seeking an experienced AI ML Engineer/AI Data Scientist to join our team, with a strong background in Artificial Intelligence and Machine Learning. The ideal candidate will have 4 -7 years of experience in AI/ML and a proven track record of designing and deploying deep learning concepts to generate business value.
Key Responsibilities
- Designing deep learning concepts and deploying machine learning solutions to generate business value
- Applying statistical and calculus concepts to drive business outcomes
- Working in the domains of Natural Language Processing (NLP) and/or Computer Vision (CV)
- Utilizing machine learning techniques like Random Forest, Support Vector Machine, and Gradient Boosting Machine
- Applying deep learning techniques across Recurrent Neural Networks, Convolutional Neural Networks, and Transformer Architectures
- Developing and deploying Generative AI techniques like RAG, Agentic Workflows, and Graph RAG
Required Skills
- Experience : Experienced AI Scientist with 4 - 6 years of experience in AIML.
- Design : Designing deep learning concepts.
- Mathematics : Good in Statistical and Calculus concepts.
- Domains : Applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV).
- Deployment : Generative AI and deploying Machine Learning (ML) solutions to generate business value.
- Statistical Methods : Solid theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling
Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.
- Machine Learning : Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.
- Deep Learning : Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV) with a consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization.
- Generative AI : Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc.
(ref:hirist.tech)
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