Machine Learning 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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Python and ML Trainer

Igeeks Technologies

  • 1 - 2 yrs
  • 2.5 Lac/Yr
  • Malleswaram Bangalore
Python Trainer Python Faculty
Train the students on Python, ML and IT concepts The candidate responsible for providing internship to B.tech, MCA students. Hands-on experience with Python3 .Good Understanding with Python, Machine Learning, Algorithms etc. Knowledge on ML frameworksEligibility: Graduate with Fresher (good academic record)/min. 1 year experience in Python/ ML Industry/ Training experience.
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Mean,Mern & Data Science AI ML Trainers

Quickstep Computer Centre

  • 3 - 6 yrs
  • 3.0 Lac/Yr
  • R. T. Nagar Bangalore
Stack Trainer Mean Stack Developer Computer Science Trainer
We are looking for Part time 2 to 4 Years of Experience , Part Time MEAN & MERN Stack Trainers . & 3 to 6 years Of experience On DATA SCIENCE Trainer. Location R T Nagar Bengaluru.
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Walk-ins For Machine Learning - Data analyst-11th April 2022

Ideapoke Technologies Pvt Ltd

  • 0 - 1 yrs
  • Mahadevapura Bangalore
Machine Learning Python
Job Tittle: Machine Learning- Data Analyst.Machine Learning Job Description:1. Developing models and analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability2. Assisting senior ML engineers3. Verifying data quality, and/or ensuring it via data cleaning4. Should have knowledge on Python and Machine LearningCandidate Criteria :2020 and 2021 pass out only, Marks 60% and above throughout
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Jobs by Related Category

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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Opening For Machine Learning Engineer

AGP HR

  • 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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Data/ML Platform Engineer

Onactive

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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SR. AI/ ML Engineer

Prime Search

  • 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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Machine Learning Intern

RayIot Solutions Pvt Ltd

  • 0 - 1 yrs
  • Bangalore
Kinsesis Numpy Pytorch
RequiremenntsThe candidate should have fundamental knowledge on Machine learning algorithms and deep learning frameworks. The candidate should be proficient in python with hands-on experience on libraries like pandas, numpy, scikit learn, tensorflow-keras and pytorch. The candidate should also have basic knowledge in Digital Signal Processing (DSP). It is desirable to have knowledge on AWS services like kinsesis, EC2, lambda. Knowledge about databases and backend frameworks like flask can enhance your chances.Must have:Hands-on knowledge with Python libraries: pandas, numpy, scikit learn, tensorflow-keras and pytorchEligibility: Bachelors or Masters in Engineering or any degree with hands-on experience in signal processing and machine learning. The eligibility criterion can be relaxed for candidates without degree, if found sufficient experience and knowledge.Knowledge in Signal Processing
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MACHINE LEARNING - OPS

IMAGE Placements

  • 2 - 3 yrs
  • 30.0 Lac/Yr
  • Bangalore
Database Machine Learning Sagemaker Pipeline Tensorflow Pytorch Data Science Prototypes Data Collection Mathematics Cloud Infrastructure CICD Opencv Linux Work From Home
Responsibilities: Understanding business objectives and developing models that help to achieve them, alongwith metrics to track their progress Implementing data science prototypes by applying appropriate ML algorithms and tools Running hypothesis tests, performing statistical analysis, and interpreting test results Solving complex problems with multi-layered data sets, as well as optimizing existingmachine learning libraries and frameworks Analysing the ML algorithms that could be used to solve a given problem and ranking themby their success probability Documenting machine learning processes and keeping abreast of developments in machinelearning & ML-Ops Assessing, implementing & deploying cloud infrastructure, data pipelines to meet deadlinesand the business objectives while minimizing costs Deploying ML pipelines to production using CI/CD, and scaling ML algorithms to analysehuge volumes of historical data to make predictions in a batch or streaming environmentwhile meeting the required SLAs Consulting with client partners to assess their current ML-Ops maturity, answer anyquestions they may have, and design an ML-Ops strategy (roadmap, tech stack & associatednuances) to meet their requirementsSkills & Requirements: Bachelor's/ Masters degree in computer science, data science, mathematics, or a relatedfield At least 2-3 years' experience as a machine learning engineer Experience in deploying models on the cloud, and awareness of tools like Sagemaker, ML-Flow and other ML-Ops tools Advanced proficiency with Python & PySpark Extensive knowledge of ML frameworks, libraries, data structures, data modelling, andsoftware architecture. Knowledge of deep learning framework such as TensorFlow/PyTorchis a plus In-depth knowledge of mathematics, statistics, and algorithms Superb analytical and problem-solving abilities Great communication and collaboration skills Excel
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