Data Science
R Programming
Python
Amazon Web Services (AWS)- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Qualifications/Requirements:
- Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
- 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Good team worker with excellent communication skills written, verbal and presentation
Desired Experience:
- Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
- Knowledge and experience with NLP technology
- Previous work in a start-up environment
Subodh Popalwar
Software Engineer, Memorres
About Networking & Cybersecurity Solutions
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Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
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Job Summary:
As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.
Role & Responsibilities:
Your role is focused on Design, Development and delivery of solutions involving:
• Data Integration, Processing & Governance
• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Implement scalable architectural models for data processing and storage
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode
• Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1.Overall 5+ years of IT experience with 3+ years in Data related technologies
2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.
4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable
5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
Preferred Experience and Knowledge (Good to Have):
# Competency
1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4.Performance tuning and optimization of data pipelines
5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
6.Cloud data specialty and other related Big data technology certifications
Personal Attributes:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes
Machine Learning (ML)Data ScienceJob Description-
Responsibilities:
* Work on real-world computer vision problems
* Write robust industry-grade algorithms
* Leverage OpenCV, Python and deep learning frameworks to train models.
* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.
* Develop integrations with various in-house or external microservices.
* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices
* Research latest technologies and develop proof of concepts (POCs).
* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:
* Segmentation
* Object Detection
* Classification
* Objects Tracking
* Visual Style Transfer
* Generative Adversarial Networks
* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision
* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes
* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies
Skills:
* Object Detection
* Computer Science
* Image Processing
* Computer Vision
* Deep Learning
* Artificial Intelligence (AI)
* Pattern Recognition
* Machine Learning
* Data Science
* Generative Adversarial Networks (GANs)
* Flask
* SQL
PythonData ScienceMachine Learning (ML)Principal Accountabilities :
1. Good in communication and converting business requirements to functional requirements
2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data
3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.
5. Experience in SOTA Deep Learning techniques to solve NLP problems.
6. End-to-end data collection, model development and testing, and integration into production environments.
7. Build and prototype analysis pipelines iteratively to provide insights at scale.
8. Experience in querying different data sources
9. Partner with developers and business teams for the business-oriented decisions
10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Amazon Web Services (AWS)
DockerPython
MongoDBThis profile will include the following responsibilities:
- Develop Parsers for XML and JSON Data sources/feeds
- Write Automation Scripts for product development
- Build API Integrations for 3rd Party product integration
- Perform Data Analysis
- Research on Machine learning algorithms
- Understand AWS cloud architecture and work with 3 party vendors for deployments
- Resolve issues in AWS environmentWe are looking for candidates with:
Qualification: BE/BTech/Bsc-IT/MCA
Programming Language: Python
Web Development: Basic understanding of Web Development. Working knowledge of Python Flask is desirable
Database & Platform: AWS/Docker/MySQL/MongoDB
Basic Understanding of Machine Learning Models & AWS Fundamentals is recommended.
Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL experience
Should be an individual contributor for initial few months based on project movement team will be aligned
Strong in querying logic and data interpretation
Solid communication and articulation skills
Able to handle stakeholders independently with less interventions of reporting manager
Develop strategies to solve problems in logical yet creative ways
Create custom reports and presentations accompanied by strong data visualization and storytelling
JavascriptPython
HTML/CSS- Design, build web crawlers to scrape data and URLs.
- Integrate the data crawled and scraped into our databases
- Create more/better ways to crawl relevant information
- Strong knowledge of web technologies (HTML, CSS, Javascript, XPath, Regex)
- Understanding of data privacy policies (esp. GDPR) and personally identifiable information
- Develop automated and reusable routines for extracting information from various data sources
- Prepare requirement summary and re-confirm with Operation team
- Translate business requirements into specific solutions
- Ability to relay technical information to non-technical users
- Demonstrate Effective problem solving and analytical skill
- Ability to pay attention to detail, pro-active, critical thinking and accuracy is essential
- Ability to work to deadlines and give realistic estimates
Skills & Expertise
- 2+ years of web scraping experience
- Experience with two or more of the following web scraping frameworks and tools: Selenium, Scrapy, Import.io, Webhose.io, ScrapingHub, ParseHub, Phantombuster, Octoparse, Puppeter, etc.
- Basic knowledge of data engineering (database ingestion, ETL, etc.)
- Solution orientation and "can do" attitude - with a desire to tackle complex problems.
- Does analytics to extract insights from raw historical data of the organization.
- Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
- Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
- Tests the short/long term impact of productized MV models on those trends.
- Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory.
Data SciencePythonR ProgrammingQualifications
B.Tech/M.Tech
Percentage 70% and above
2018 & 2019 passouts
At least 3 POC Implementations should have done
Premium Institutes passouts are more preferrable
Data ScienceR ProgrammingPythonapplied research.
● Understand, apply and extend state-of-the-art NLP research to better serve our customers.
● Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models.
● Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
● Think creatively to identify new opportunities and contribute to high-quality publications or patents.
Desired Qualifications and Experience
● At Least 1 year of professional experience.
● Bachelors in Computer Science or related fields from the top colleges.
● Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval.
● Experience applying ML to solve complex business problems from scratch.
● Experience with Python and a deep learning framework like Pytorch/Tensorflow.
● Awareness of the state of the art research in the NLP community.
● Excellent verbal and written communication and presentation skills.
Amazon Web Services (AWS)Python- Hands-on experience in Development
- 4-6 years of Hands on experience with Python scripts
- 2-3 years of Hands on experience in PySpark coding. Worked in spark cluster computing technology.
- 3-4 years of Hands on end to end data pipeline experience working on AWS environments
- 3-4 years of Hands on experience working on AWS services – Glue, Lambda, Step Functions, EC2, RDS, SES, SNS, DMS, CloudWatch etc.
- 2-3 years of Hands on experience working on AWS redshift
- 6+ years of Hands on experience with writing Unix Shell scripts
- Good communication skills
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Software Engineer, Memorres