Search Results: 2,328 vacancies
...Requirements:.- Handson experience in ML is key.- AI/ML techniques, deep Learning. OR.- Hands on experience in , NLP (PyTorch, TensorFlow, etc.)... ...team. - The ideal candidate will have hands-on experience in machine learning (ML), AI/ML techniques, deep learning, and/or natural...
Requirement :- Experience with Machine Learning Model Development : 1. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. 2. Proven ability to guide and lead the development of complex models, ensuring accuracy...
...output needed - Model the business scenarios to solve client problems - Collaborate with client stake holders - Work on productizing learnings from each project to enrich the product- Contribute to overall solution development, Owner of the algorithms/codes to facilitate in...
...function. Build a highly functional and efficient Data Science & Machine Learning platform that brings together data from disparate sources and... ...or a related field- 3+ years of experience with artificial intelligence, software engineering, MLOps, DevOps, or data engineering, in...
Job Description :We are seeking an experienced ML Engineer (MLOps) with a strong background in machine learning, deep learning, and artificial intelligence. The ideal candidate will have a proven track record of developing and deploying machine learning models in real-world...
Role : AI/ML EngineerJOB Responsibilities :- Develop and implement machine learning algorithms and models to solve complex business problems.- Analyze large datasets to extract meaningful insights and patterns.- Collaborate with cross-functional teams to integrate AI/ML solutions...
...and unlimited growth potential- Willing to learn and work on additional technologies and... ...work in interdisciplinary teams comprising machine learning engineers, data scientists,... ...020, 2018, 2017, and 2016.- Named by ALM Intelligence as the only Pacesetter in the Legal category...
...Developer who is responsible for designing, developing and implementing innovative RPA systems. You will make use of Machine Learning (ML) and Artificial Intelligence (AI) to automate routine business tasks. RPA systems carry out processes on their own, but they still rely on...
...motivated person with a passion for problem-solving and continuous learning.Designation :Project Tech. Lead (4A) : 5 - 7 YearsProject... ...deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model...
As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating...
...Preferred] Experience with Core ML algorithms
~[Preferred] Experience training and deploying ML models in production
~ Comfortable working with Python, Pandas, TensorFlow, Scikit Learn
~ Strong problem-solving and analytical skills
~ Experience with Azure is a plus...
...About the Role-
This role is for you if you are passionate about machine learning, data engineering, and building products in general. It will require close collaboration with data scientists, analysts, and software engineers, so a basic understanding of DS stack and development...
...Title: Data Engineering and Machine Learning Expert Skills- Python, Scala Spark Streaming ,Hadoop, Hive, Airflow & MLOPS
Experience range: 4 - 8 years
Location: Gurugram
Hybrid Working
We at Coforge are hiring Machine Learning specialists with following skill...
...interpret data with clear objectives in mind- Implement analytical models in production by collaborating with software developers and machine-learning engineers- Proficiency with data mining, mathematics, and statistical analysis- Advanced experience in pattern recognition and...
...and analyze IT systems, applications, and networks.- Deploy machine learning algorithms for anomaly detection, root cause analysis, and incident... ....- You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.- You have solid experience...
...secure software solutions on modern clouds (AWS, Azure, GCP) and container platforms (Docker, Kubernetes, etc.)
Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience...
...have a real impact on our product.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge... ...Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming...
...in terms of its impact on sales and searches2. Utilize core data intelligence to develop innovative product solutions that enhance consumer... ...Hands-on experience of Python & SQL, familiar with pandas, scikit-learn etc.4. Should be able work independently and is the go-getter5....
...stakeholders- Develop complex Image Classification/Analytics models using advanced ML algorithms like Nave Bayes, k-means, KNN and other Deep Learning concepts- Perform necessary model building steps including Univariate, Multi-variate analysis, feature engineering in Python- Develop...
Roles & Responsibilities :- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and prototype implementations of new learning algorithms and prediction techniques- Collaborate with product...
