5

Deep Learning Job Vacancies in Bangalore

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Looking For ML Engineer

The Supreme Consultancy

Machine Learning Data Analysis Python ML Engineer Data Science Data Analyst Problem Sloving Deep Learning Deep Learning Engineer
Mandatory Criteria (Can't be neglected during screening) : Looking for Only BTech and BE candidates. Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer. Candidate must have Coding experience in Python. Need candidates with atleast 1-2years of ML experience. Candidate should have Good Experience with ML models and ML algorithms. Need Experience with statistical modelling of large data sets. Looking for Immediate joiners or max. 30 days of Notice Period candidates. The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered. Kindly note Salary bracket will vary according to the exp. of the candidate - - Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.What You will do: Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Use Excel to perform analytics on large amounts of data Understand, model and build to bring actionable business intelligence out of data that is available in different formats Work with data engineers to design, build, test and monitor data pipelines for ongoing business operationsBasic Qualifications: Only BTech and BE candidates. Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in PythonNice to have Qualifications: Experience with wide variety of tools used in ML Experience with Deep learningBenefits: Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including a top up insurance for COVID).
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Looking For Data Scientist

SB Infowaves Pvt. Ltd.

  • 1 - 2 yrs
  • Bangalore
Deep Learning Machine Learning Data Science MySQL
We are seeking a Data Scientist with one year of experience to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data analysis, with practical experience in FastAPI and MySQL databases.Responsibilities- Develop and implement machine learning and deep learning models to solve complex business problems- Design and maintain scalable APIs using FastAPI for model deployment and data services- Work with MySQL databases to extract, transform, and analyze large datasets- Collaborate with cross-functional teams to identify data-driven solutions- Continuously improve model performance and data pipeline efficiency- Stay updated with the latest advancements in machine learning and data scienceRequirements- 1 year of professional experience in data science or machine learning- Proficiency in Python and its data science libraries (e.g., NumPy, Pandas, Scikit-learn)- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)- Hands-on experience with FastAPI for building APIs- Strong knowledge of MySQL and SQL query optimization- Familiarity with version control systems (e.g., Git)- Excellent problem-solving and communication skills
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  • 2 - 5 yrs
  • Bangalore
C++ Programming Deep Learning System On A Chip Linux Python DL Framework Pytorch TensorFlow TF Lite
Responsibilities- To port machine learning scripts from Python to C++- Test the working of converted scripts- Deploy/integrate C++ scripts to an embedded devicePrimary Skills- C++ Programming experience in deploying Deep Learning models on embedded system.- Software optimization skill at the System on a chip (SOC) level- Experience working in Linux operating system- Python programming- Understanding of Deep Learning system/concepts such as training, inference, transfer learning, quantization, etc.- Familiarity with at least on DL framework Pytorch, TensorFlow, TF LiteAdditional Skills- Experience using DL framework such as Pytorch/TF/TFLite- Understanding of Edge AI concepts
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Data Science Trainer

Cranes Varsity Private Limited

  • 2 - 8 yrs
  • 5.0 Lac/Yr
  • Bangalore
Python Powerbi Tensorflow NLP Keras Computer Vision Deep Learning Data Science
Roles & Responsibilities * Training Graduate Engineers, Working professionals, Corporate freshers and Laterals.College Workshop Trainings.Content Development, Technical Assessment and Evaluation, Project developmentSkills Required * Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, Keras, PySpark, Cloud computing, Computer VisionMandatory * Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, Keras, PySparkDesirable * Cloud computing, Computer Vision
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  • 3 - 5 yrs
  • 15.0 Lac/Yr
  • Bangalore
Machine Learning Natural Language Processing Artificial Intelligence Python Deep Learning Tensor Flow NLP Engineer Work From Home
COMPANY- Emplay Inc Job Location-Bengaluru, Work from home(Currently)Position Summary:As a Senior NLP Engineer you will primarily focus on building the NLU platform for Emplay by working with Analytics Team, Data Scientists, Data Engineers, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with internal and external customer teams to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers and customers. Responsibilities:? As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with Analytics and Product Management teams.? You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.? Design and implement infrastructure for orchestrating end to end machine learning life cycles? Set up processes to monitor and continually improve efficiency and performance of models? Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.? Write high-quality production code as you build and maintain robust, scalable machine learning systems.? Program primarily in Python using efficient algorithms and software design patterns? Scale and improve performance of Natural Language systems in production? Leadership, Team Management, Stakeholder Management exposure.Required Qualifications:? MS/PhD/BTech in NLP, ML, AI, Engineering or equivalent? 3-5 years of relevant experience in Natural Language Understanding, Recommendation Engine, Topic classification, Semantic Search
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