Data Scientist - AI/ML

- You will be responsible for Design of software solutions supplemented with AI/ML based on the customer requirements and within the constraints of architectural /design guidelines.

- You will be involved in coding of features and/or bug-fixing and delivering solutions adhering to coding/scripting and quality guidelines, for self-owned components

- You will be responsible for Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines.

- You will be responsible for Performing regular technical coordination / review with stake holders and ensuring timely reporting and escalations if any.

Required Technical Skillset :

- Must have very strong demonstrated knowledge of data science & AI technologies and associated frameworks.

- Must have good hands on working experience in Machine Learning, Deep learning, Exploratory Analysis, Predictive modeling, Prescriptive modeling, Computer Vision.

- Must have good understanding of different Cloud Systems, knowledge of AWS Cloud and AWS services is must to have.

- Must have good experience in data visualization tools like Tableau, Power BI.

- Experience using statistical computer languages (R, Python, Pyspark etc.) to manipulate data and draw insights from large data sets.

- Experience working with and creating data architectures.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

- Good knowledge of querying SQL & No SQL databases.

- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, SVM, text mining, social network analysis, etc.

- Sound understanding in AWS Services including Sagemaker, Lambda, Redshift, S3, EMR & AWS data lake

- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

- Proven experience as a Data Scientist or Data Analyst Experience, Understanding of machine-learning and operations research.

- Experience in visualizing/presenting the data analysis to stakeholders in MS power point using following libraries ggplot, matplotlib, Seaborn.

- Experience in developing & deploying the end-to-end data science pipeline into production.

What You Need to Make Real What Matters :

- B.E. / B. Tech / MCA/ M. Tech (Computer Science/Electronics & Communication/Electrical).

- You need to be an engineering graduate with 8-11 years of experience in design and development.

- Proficiency with data mining, mathematics, and statistical analysis with significant hands-on experience in AI / Data Science.

- You should have ability to work as an individual contributor (IC role).

- You must have Customer focus and effective stakeholder management skills.

- Must have good analytical, debugging and tracing skills. Should be well-versed with clean code principles (SOLID, DRY, KISS). Exposure to secure coding is beneficial.