Data Scientist - Bengaluru, India - Edge Talent Decisions

Description

Data Scientist at Edge Talent Decisions

Location:
Banglore


Salary:
INR 25 LPA to INR 30 LPA Per year


Experience:
3 to 5 years


Skills Required:
SQL,Python,Machine Learning,Natural Language Processing (NLP),NoSQL,PyTorch Software Library,Scikit-learn,TensorFlow Software Library


Notice Period - Immediate to 30 Days max


Experience:
3-5 Years


Location:
Bangalore


Salary:25-30 LPA


Notice Period:
Immediate-30 days


Interview process:
Round 1: Assignment and Round 2: Technical Interview


Responsibilities:

Design, Implement and Evaluate models and Design machine learning systems (NLP, text analytics, information retrieval, search, and recommendation systems, Knowledge graph, conversational system, Time-series based modelling, forecasting)
Design, development, evaluate and deploy innovative and highly scalable ML to improve the quality of products.

You should be passionate about working with data sets and be someone who loves to bring datasets together and use machine learning and analytical techniques to answer business questions and deliver actionable user-insights to build the best products and models.

Rapidly prototype integration of latest research in the field of ML/DL into the product.
Work closely with team of high performing data scientist and single ownership to identify opportunities, design, and assess improvements to ML Engine & Products


Role Skills:

• 35 years of handson experience in building machine learning systems for large datasets.
• Ability to break down and frame business problems into data science solutions and handson capability to create MVP out of it and run a DS project end to end independently.
• Indepth knowledge on supervised and unsupervised machine learning algorithms including classification, clustering, and regression.
• Experience in NLP (Sequence segmentation, Labeling and parsing, Knowledge extraction, Question answering, Multi text learning, ontology, taxonomy building), Machine Learning.
• Experience in Entity Extraction, Entity Linking, Clustering algorithms.
• Proficient in Math & Deep Learning (VAE, RNN, LSTM, CNN, attention models, Transfomer etc.), machine learning(svm, random forest), Clustering, topic modeling(LDA, LSA) and graph models.
• Experience in Python, Scikitlearn, Pytorch, Keras, Tensorflow
• Experience of implementing Deep Learning models into production
• Familiarity with distributed computing.
• Experience with SQL and/or No-SQL modelling.
• Excellent communication, analytical and problemsolving skills.
• B.S./B.S.E./MS degree in Applied Math, Data Science, Computer Science, Physics, or Similar Technical Field

Preferred Qualifications

• Passion to dive deep to resolve problems at their root.
• Experience in Data Governance, Data quality, Model Governance & MLops is a huge plus. Functional knowledge of platforms such as MLFLOW, Hopsworks/Sagemaker feature store/feast/Tecton, Seldon, DVC.
• Experience on building fair & explainable ML based product.
• Experience on federated learning, differential privacy, reinforcement learning.
• Experience on A/B testing, federated learning, differential privacy.
• Experience of git, flask, restful APIs.
• Experience working in a fastpaced, high tech environment.

Salary:
₹2,500, ₹3,000,000.00 per year


Schedule:

• Day shift

Ability to commute/relocate:

• Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (required)

Experience:

• NoSQL,PyTorch Software Library,Scikitlearn: 4 years (preferred)
• Tensor

Flow Software Library: 4 years (preferred)

• SQL,Python,Machine Learning,

NLP:
4 years (preferred)


Speak with the employer
Expected Start Date: 31/08/2023