Job Code | JC/1917 |
Process | AI Developer - AVP 1 |
No. of Requirements | 1 |
Gender | Male / Female |
About Process | Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress |
Analyzing the ML algorithms that could be used to solve a given problem |
Exploring and visualizing data to gain an understanding of it |
Verifying data quality, and/or ensuring it via data cleaning |
Finding available datasets online that could be used for training |
Defining validation strategies |
Defining the pre-processing or feature engineering to be done on a given dataset |
Training models and tuning their hyper parameters |
Analyzing the errors of the model and designing strategies to overcome them |
Title | AI Developer - AVP 1 |
Location | Mumbai - Ghansoli (Navi Mumbai ) |
Requirement | Good Communication Skills (8/10) and is a good team player |
Hands on experience in at least 2-3 Deep Learning & AI Framework (Microsoft Cognitive toolkit, Tensor Flow, Horvod, Keras, Caffe, PyTorch, tensorRT etc) |
Hands on experience on at least 2 ML coding languages (Ex- Python, R, Julia, tensor flow) |
Hands on experience on at least 2 - 3 Development Tools (Ex-Visual Studio Code, R studio Desktop/Server, Juno, Pycharm, Jupyter, Anaconda) |
Experience on at least 2-3 ML/Data science Tools (Ex-Azure Machine Learning SDK, XGBoost, Vowpal Wabbit, Weka, Rattle, LightGB, H2O) |
Experience on at least 2-3 Data Exploration and Visualization tools (Ex-Apache Drill, Weka, Rattle, Tableau) |
AI-ML Engineer or Data Scientist with 8 and more Years of relevant AI / ML experience |
Experience in API Management Solutions, with third-party libraries and APIs |
Working knowledge of the general architectures, trends, and emerging technologies |
Must have worked on 6 + projects implementing AI/ML algorithms and productionalizing the same |
OCR Tool – Experience on working with at least 2 OCR Tools (Ex. Tesseract , Abby, Nanonets) |
Ability to design, develop and implement AI / ML algorithms |
Good knowledge in Deep Learning, Pattern Recognition, Text Analytics |
Expertise in analytical & Mathematical and Big Data technologies |
Solid understanding of the full development lifecycle |
A strong foundation in enterprise application fundamentals such as data structures and object-oriented design is critical |
Ability to lead a project start to finish and guide other members who are new to AI-ML |
Willingness to learn new domains & technologies |
Education | B. Tech/BE/ME/M Tech/ degree in Computer Science, Engineering or a related subject |
Shift timings | 24*7 |
Transport Boundaries | Please source candidates from Central & Harbour Line only |
Transport Facility | Depends on shifts |
Salary Range | 16L to 21L pa |
Weekly Off | Saturday & Sunday fixed off (Candidate need to flexible to work on weekends, if there is work load) |
Age | Upto 40 years |
USP | Designation, Salary, Brand |
Rounds of Interview | HR (Experience, Qualification, Age, Communication skills, Compensation, Stability) |
Technical Manager (Check knowledge, experience & stability) |
GM (Check capabilities & discuss compensation) |
Documents | Educational + Identity Proof + Residential Proof + Offer Letter + Salary Proof (Bank Statement/Payslip) + Relieving Documents |
Clawback | 90 Days |
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