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We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.
Responsibilities:
- Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
- Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
- Feature Engineering: Select, transform, and create relevant features to improve model performance.
- Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
- Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
- Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.
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About Luma Wave Tech
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Experience Required:
- 6+ years of data science experience.
- Demonstrated experience in leading programs.
- Prior experience in customer data platforms/finance domain is a plus.
- Demonstrated ability in developing and deploying data-driven products.
- Experience of working with large datasets and developing scalable algorithms.
- Hands-on experience of working with tech, product, and operation teams.
Key Responsibilities:
Technical Skills:
- Deep understanding and hands-on experience of Machine learning and Deep learning algorithms. Good understanding of NLP and LLM concepts and fair experience in developing NLU and NLG solutions.
- Experience with Keras/TensorFlow/PyTorch deep learning frameworks.
- Proficient in scripting languages (Python/Shell), SQL.
- Good knowledge of Statistics.
- Experience with big data, cloud, and MLOps.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent presentation and communication skills.
- Ability to work independently and deal with ambiguity.
Continuous Learning:
- Stay up to date with emerging technologies.
Qualifications:
A degree in Computer Science, Statistics, Applied Mathematics, Machine Learning, or any related field / B. Tech.
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• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Someone who has strong industrial experience in NLP for a period of 2+ years. Experienced in applying different NLP techniques to problems such as text classification, text summarization, question &answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques. In-depth exposure to some of the Tools/Techniques: SpaCy, NLTK, Gensim, CoreNLP, NLU, NLG tools etc. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Desirable to have demonstrated capability to integrate NLP technologies to improve chatbot experience. Exposure to frameworks like DialogFlow, RASA NLU, LUIS is preferred. Contributions to open-source software projects are an added advantage.
Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable
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Hi,
We are hiring for Data Scientist for Bangalore.
Req Skills:
- NLP
- ML programming
- Spark
- Model Deployment
- Experience processing unstructured data and building NLP models
- Experience with big data tools pyspark
- Pipeline orchestration using Airflow and model deployment experience is preferred
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closely with the Kinara management team to investigate strategically important business
questions.
Lead a team through the entire analytical and machine learning model life cycle:
Define the problem statement
Build and clean datasets
Exploratory data analysis
Feature engineering
Apply ML algorithms and assess the performance
Code for deployment
Code testing and troubleshooting
Communicate Analysis to Stakeholders
Manage Data Analysts and Data Scientists
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Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
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About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.
Responsibilities:
- Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
- Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop custom data models and algorithms to apply to data sets
- Use predictive modeling to predict outcomes and identify key drivers
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
Requirements:
- Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
- 2+ years of strong working knowledge of SQL language
- Experience with visualization tools e. g., Tableau, Power BI
- Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
- Strong presentation and communication skills
- Experience in education sector is a plus
- Fluency in English
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Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
Get in touch If you are interested.
Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.
Main Duties
● Quickly research the latest innovations in Machine Learning, especially with respect to
Natural Language Understanding & implement them if useful
● Train models to provide different insights, mainly from text but also other media such as Audio and Video
● Validate the models trained. Fine-tune & optimise as necessary
● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
● Build preprocessing pipelines for the models that are bieng served as a REST API
● Periodically, test & validate models in use. Update where necessary
Role & Relationships
We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO
Educational Qualifications
We don’t discriminate. As long as you have the required skill set & the right attitude
Experience
Upto two years of experience, preferably working on ML. Freshers are welcome too!
Skills
Good
● Strong understanding of Java / Python
● Clarity on concepts of Data Science
● A strong grounding in core Machine Learning
● Ability to wrangle & manipulate data into a processable form
● Knowledge of web technologies like Web server (Flask, Django etc), REST API's
Even better
● Experience with deep learning
● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, Keras
Competencies
● Knowledge of NLP libraries such as NLTK, spacy, gensim.
● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext
● An aptitude to solve problems & learn something new
● Highly self-motivated
● Analytical frame of mind
● Ability to work in fast-paced, dynamic environment
Location
Pune
Remuneration
Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have
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