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 API’s 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 company’s 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 company’s 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