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Job Description

Description :

Role : TECHNICAL ARCHITECT/AI Architect

Total years of experience : 12+ years

Job Title : MM/WM /AI Architect

Location : Pune/Bangalore

Qualification : Graduate preferred in data science or big data ,GCM 6

Must Have Skills :

- 12+ years of experience in solution management and service delivery in Analytics, Artificial Intelligence and Digital Transformation.

- Experience in development of AI solutions by designing proposed system; defining product architecture and functional capabilities

- Proficiency with frameworks such as TensorFlow , OpenCV , Python and basic libraries for machine learning such as scikit-learn and pandas

- Hands on experience with python, multi-threading, rest APIs etc

- Experience with using and having an in-depth understanding of AI/ML Algorithms, Neural Networks(Keras,Tensorflow,PyTorch etc), Image Processing libraries(OpenCv,Sklearn,Pillow,numpy etc)(required)

- Experience with NLP libraries(Stanford,Spacy etc)

- Should have ability to incorporate NLP and machine learning into full-stack, user-facing applications

- Should be able to think out-of-box and develop cutting-edge algorithms for solving complex problems

- Experience with all parts of Data engineering (Data Mining, Data Processing, Data cleaning, Data Modelling etc)

- Strong programming skills in: Python/R and familiarity with Java.

- Deep understanding of Statistical algorithms : Linear and Non-Linear models, classification problem, optimization techniques, Market mix models, A/B Testing and campaign management, Feature ranking/selection techniques, supervised/unsupervised learning, Collaborative filtering, Apriori Market Basket analysis, SVM, Gradient boosting, Survival analysis etc

- Developing solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform

- Good communication skills and proven capability to innovate and implement value chain for various processes

- Preferred Masters in Statistics/Mathematics/Econometrics/Compute Sc with strong quantitative background

Technical Skill :

(Secondary- Good To Have) :

- Extending companys data with third party sources of information when needed

- Enhancing data collection procedures to include information that is relevant for building analytic systems

- Processing, cleansing, and verifying the integrity of data used for analysis

- Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Soft Skills :

(Primary- Must To Have)

- Strong and hands on engineer and designing capabilities


- Must be able to single-handedly propose, own the architecture and design solution, execute proof of concept independently and execute innovation

- Should be able to work independently and in agile manner

- Strong flare for innovation and research, and able to apply it to practice

Technical Skill :

(Secondary- Good To Have) :

- Extending companys data with third party sources of information when needed

- Enhancing data collection procedures to include information that is relevant for building analytic systems

- Processing, cleansing, and verifying the integrity of data used for analysis

- Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Soft Skills :

(Good To Have) :

- Excellent communication skills : Should be able to drive customer presentations, explain solutions to customer audience, drive innovation workshop with customer in areas of data and analytics architecture.


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