Array ( [0] => machine-learning-engineer [1] => bangalore ) Top Machine Learning Engineer Female Jobs in Bangalore for Graduate

Machine Learning Engineer Female Graduate Jobs in Bangalore

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ML Engineer

Smartcore Solutions

  • 4 - 6 yrs
  • 17.0 Lac/Yr
  • Electronic City Bangalore
Machine Learning Python Git Google Cloud AI Developer OpenAI Google Cloud AI Azure Cognitive Services Scripting Golang
Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database
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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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  • 3 - 5 yrs
  • 6.5 Lac/Yr
  • Bangalore
TensorFlow PyTorch Scikit-learn and Pandas.
We are seeking a skilled and motivated Machine Learning Engineer to join our innovative AGPHRteam. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes. Responsibilities: Develop, train, and deploy machine learning models for various applications such as detection/ classification, clustering, and recommendation systems. Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets. Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions. Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation. Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud. Implement and maintain model monitoring systems to track performance and ensure reliability. Stay updated with the latest advancements in machine learning, deep learning, and AI technologies. Contribute to code reviews, best practices, and continuous improvement processes within the team. Required Skills: Demonstrable skills in owning Machine Learning projects in the past. Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. Hands-on experience of YOLO/ImageNet/Bytetrack or similar models. Strong understanding of statistical concepts, data analysis, and data visualization. This document is strictly confidential Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage.
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Python SQL ML Docker AWS Cloud Engineer
Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
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  • 5 - 11 yrs
  • 35.0 Lac/Yr
  • Bangalore
OCR Tesseract EasyOCR PaddleOCR TensorFlow PyTorch Keras MXNet Natural Language Processing AI Engineer ML Engineer
Position: Sr. AI/ML Engineer (OCR Solutions)Exp: 5+ yearsLocation: RemoteSalary: up to 35 LPA Notice Period should be max. 15-20 DaysRequirements:- 5+ years of exp. in AI/ML engineering with at least 3 years of experience in building OCR solutions- Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR, or custom deep learning-based OCR systems- Experience with multiple languages and character sets (e.g., Latin, Cyrillic, Chinese, Japanese, Arabic, Devanagari, etc.)- Deep Learning: Proficiency with machine learning frameworks like TensorFlow, PyTorch, Keras, or MXNet- Experience in natural language processing (NLP) techniques for post-processing OCR outputs.- Strong programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, etc.).- Proven experience in scaling AI/ML models for production environments and containerizing applications using Docker for easier deployment and scalability.- Experience deploying OCR models in cloud environments (AWS, GCP, or Azure) and working with CI/CD pipelines.- Proficient in version control systems (Git, GitHub, GitLab).- Excellent analytical and problem-solving skills.
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  • 0 - 5 yrs
  • Bangalore
Applied Mathematics Computer Science Fundamentals and Programming Data Modeling and Evaluation Machine Learning Artificial Intelligence Work From Home
To improve our machine learning systems, we are seeking a machine learning engineer with exceptional talent. You will be evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.Knowledge in Machine Learning & Artificial Intelligence/Machine Learning.Knowledge developing solutions with Pandas/Scikit-learn, Spark, or comparable technologies.Knowledge Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin, or other).Knowledge of relevant programming languages - for example, R, Python, C++, C, SQL, and Java - as needed to perform at the job levelKnowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job levelEnsuring that algorithms generate accurate user recommendations.Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.Have knowledge of mathematics, statistics, and algorithms.Superb analytical and problem-solving abilities.
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ML OPS Engineer

Detasec Technologies Pvt Ltd

  • 2 - 5 yrs
  • Bangalore
MLOps Machine Learning Devops
Job Responsibilities Build software products with R&D teams that are openly collaborative, are non-hierarchical, respect contributions, and work with agility. Provide vision & leadership for the technology roadmap of our products. Plan and execute PoCs as necessary. Build and maintain the next-generation ML platforms and infrastructure Create & Maintain CI/CD Pipelines for Machine learning models on AWS. Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning-based) and data pipelines. Work closely with the Dev team to create software deployment strategies and solutions and beaccountable for designing, building, and optimizing automation systems with quality and speed Accountable for architecture and technical leadership of complete DevOps infrastructure Skill Requirement Mandatory Understanding of Machine learning pipeline Experience with productionizing deep learning applications Experience with training, inference and deploying deep learning models using DevOps principles Familiarity with commonly used frameworks like tensorflow, torch, sklearn, etc Experience with containerization Experience with version control tools such as Git, Bitbucket etc Good understanding of NLP models like GPT, BERT, etc Expertise in Installation, Configuration and file system management of Linux. Performance tuning, perform backup and restore. Experience on configuration management tool like git and SVN. Configuring and managing Apache webserver and MySQL server. Hands on experience on Amazon Web Services. Hands on different operating systems. Hands on experience on virtualization software such as Virtual Box, VMware, Vagrant andDocker Designing and deploying a multiple application using almost all of the AWS features (including EC2, Route53, VPN, IAM, S3, RDS) focusing on high-availability, fault tolerance and
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ForgeRock Engineer - ML

Darshini management solutions

  • 3 - 7 yrs
  • 0.8 Lac/Yr
  • Bangalore
ITSM ForgeRock Engineer Amster Linux Redhat Powershell Script Walk in
Deliver services in a direct capacity on IAM ForgeRock engagements Engage in requirements gathering and use cases development Create, validate, and justify security solutions and designs consistent with client objectives and best practices Develop deployment and implementation methodology and standards consistent with vendor best practices Install, integrate, configure, and deploy IAM solutions and systems to facilitate User Life-Cycle Management, Identity and Access Governance, Automated Provisioning, Single Sign-On, Federation, Privileged Account Management Transcribe and present technical information to business/executive levels Develop and execute test cases and test plans for IAM solutions Respond to escalations. Creating code reviews and reviewing code reviews from other team members Requirements: 4+ years' Experience hands-on Identity and Access Management implementation using ForgeRock and tools (openAM, openIDM, openDJ, Amster, SSOAdmin). Ability to troubleshoot support requests with minimal guidance. Experience with light admin/support for Linux (Redhat) and Windows OSs. Experience with light admin/support of Tomcat. Understanding of and ability to write basic Linux shell and Windows PowerShell scripts. Experience working in ITSM environment and using related tools (ServiceNow or similar). Experience working in Controlled Change Management/Deployment environments (supporting SDLC process) Budget: Open N.Period: Immediate joining Job location: Bangalore
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AI-ML Engineer

Telesoft Labs Pvt Ltd

  • 4 - 6 yrs
  • Bangalore
Keras Python Azure Github AI-ML Engineer
? Develop machine learning and deep learning applications according to requirements? Ability to write robust code in Python? Perform statistical analysis and fine-tuning using test results? Select appropriate datasets and data representation ? Optimising the algorithms? Desired to have knowledge on any of the cloud solutions such as Azure or AWS? Extend existing ML libraries and frameworks? Experience in Flask or other python API frameworks? Research and implement appropriate ML algorithms and toolsKindly share your CV only in Word document format.
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