AI / ML 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