Average salary: Rs594,999 /yearly
More stats ...emphasis on product development.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience using statistical computer languages (R, Python, SQL, etc.)...
...Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
Auditing AI tools, ensuring model interoperability, foreseeing and designing to address risks
Strong educational...
...machine learning algorithms, and data visualization techniques.
~ Expertise in NLP techniques and text analytics.
~ Familiarity with neural network architectures and deep learning frameworks (Pytorch)
~ Experience with big data technologies and platforms (e.g., AWS) is...
...data mining and social media analytics.
Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Please use the below link for job application and quicker response....
...must be hands on to end-to-end problem solve.
Define automated production pipeline for all DS products
Train and mentor DS team on neural networks, ML algorithms and techniques
Responsible for prototype/PoC of new DS features
You will work as an integral member of a...
...and visiting customers
Continuous training sessions on C/Java/DS/Algo/BigData/AI/ML/Hardware etc.
Exposure to working with Graph Neural Networks and AI/ML in the development of comprehensive data analysis solutions.
Chance to work with cutting edge technologies in a...
...updated with the latest advancements in artificial intelligence, machine learning, and deep learning.
Apply deep learning architectures, neural networks, and machine learning techniques to improve AI models.
Contribute to the development of AI solutions using popular...
...frameworks
~ Minimum 6 years of experience in working with NLP, NLG, LLM, DL Techniques
~ Relevant understanding of Deep Learning and neural network techniques
~ Expertise in implementing applications using open source and proprietary LLM models
~ Proficient in using...
...develop advance analytical capabilities and assets using a variety of statistical modeling techniques like regression, decision trees, neural nets, etc.
· Develop forecasting, capacity planning and scheduling strategy and framework that will allow the client to meet service...
...PyTorch, or Keras.
• Experience with Databricks AI Platform or similar platforms.
• Knowledge of deep learning architectures, neural networks, and machine learning techniques.
• Experience with data preprocessing and data cleaning techniques.
• Strong...
...they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in...
...to
offering an impeccable gaming experience beyond players’ expectations in every respect. To
substantiate this, we have built a neural network of skills and jobs. Our progressive team is led by
professionals with several years of proficiency in the online gaming...
...and Machine Learning, including Linear/Logistic regression, SVM, Random Forest, Boosting, Clustering, Approximate Nearest Neighbour, Neural Networks, NLP, Computer Vision, Transformer Models, LLM, Generative AI etc.
~ Experience with Machine Learning libraries and tools (...
...conceive the design and the mechanism to define the efficacy of the model
Understanding of the inner workings of different types of Neural Networks
Expertise in NLP techniques including but not limited to tagging, entity recognition, information extraction among others...
...frameworks such as TensorFlow / PyTorch.● Familiarity with training production-level deep learning models such as Feed
Forward neural networks, CNN, LSTM, GANs, Transformers, etc.
● Experience deploying efficient and optimized ML models with tensorrt, onnx, or...
...involving AI and Advanced Analytics.
~3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network.
~ In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open...
...Deep rooted knowledge and understanding of analytics tools (e.g. Python, R), machine learning and deep learning algorthims (e.g. neural networks), Text Analytics technique (NLTK, Genism, LDA, word embedding techniques, word2vec, fasttext, glove)
have consulting back...
Rs 13 - 18 lakhs p.a.
...barrier
Knowledge, Skills and Experience:
~ Variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and operations research
~3-5 years of experience in digital marketing, preferably in B2C domain
~ Sound knowledge...
...Science, or a related field.
~ Minimum of 6+ years of relevant professional experience in Python, R, Machine Learning, Deep Learning and Neural Networks, Data Science, and Statistics.
~ Expertise in Sentiment Analysis, Entity extraction, document classification, Natural...
....- Solid understanding of statistical and machine learning techniques such as regression, classification, clustering, decision trees, neural networks, NLP, recommendation systems, llm, etc.- Experience with data manipulation, cleansing, preparation and modeling using tools such...
...cleaning and preparation (Missing value handling, Pipelines)
~ Develop Regression based models, Support Vector Machines, Random Forests & Neural Networks for Fraud Analytics
~ Expertise in handling issues related to Model Overfitting & Underfitting, understanding of Cross-...
...Strong communication and teamwork abilities.
Preferred Skills:
Experience with natural language processing, computer vision, or neural networks.
** NIIT is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion,...
...of a hedge fund that is looking to expand to new geographies
and asset classes
· Freedom to research and implement interesting ideas in the fields of machine learning, neural
networks and mathematical finance
· Meritocratic, collegial, and entrepreneurial culture...
...experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in...
...TFIDF, text vectorization- Text classification using any of the following : decision trees, knn classification, support vector machines, neural networks or LDA.- 2+ years of practical experience applying ML to solve complex problems in an applied environment- 2+ years hands-on...
...as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, Glue; viz tools like Tableau and Power BI.
~ Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers.
~ Applications and Digital Automation Solutions, Low Code /No Code and...
...skills in PBI, Excel, Power Point
Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction
Experience with churn analysis, profiling,...
...Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc.,
Knowledge on LLMs-Open AIGPT, Llama Index etc.
Knowledge of ML Ops deployment, process tools & strategy (ML Flow,...
...algorithms and their applications
· Familiarity with data preprocessing and feature engineering techniques
Preferred Qualifications/ Skills
· Experience with model evaluation and performance metrics
· Understanding of deep learning and neural networks is a plus...
...modeling techniques
• Experience in application of supervised & unsupervised AI/ML techniques including Deep Learning techniques, NLP, Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc. to solve business problems across banking/financial...