Data Engineer ( Only Immediate)

Role:

1. Work on identifying and implementing data pre-processing pipelines for various datasets (images, videos) based on problem statement

2. Experimentation, Identifying, testing the right techniques / Deep Learning libraries to use to train models

3. Training models for inferencing on cloud and edge

4. Work on improving the accuracy of deployed models

Requirements :

1. Experience in state-of-the-art Deep Learning Convolutional Neural Networks 

2. Sound knowledge of Object detection, Semantic segmentation, Instance segmentation (Faster-RCNN, Single Shot Detector(SSD), Mask RCNN, Mobile-net), Transformers

3. Hands-on experience in classic Image Processing Techniques (feature engineering) using OpenCV, Pillow

4. Proficiency in Python along with OOPs concepts

5. Should be comfortable building ML models on various deep learning and machine learning libraries using Pytorch

6. Work experience in a startup environment is essential

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.  

You will be responsible for:

• Developing computer vision algorithms to detect key moments within popular online games
• Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
• Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
• Specifying exact requirements for training data sets, and working with analysts to create the data sets
• Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
• Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

• Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
• Experience using Python, TensorFlow, OpenCV and other computer vision tools
• Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
• Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
• Familiarity with AWS environments
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

Job Details:-

Designation - Data Scientist

Urgently required. (NP of maximum 15 days)

Location:- Mumbai

Experience:- 5-7 years.

Package Offered:- Rs.5,00,000/- to Rs.9,00,000/- pa.

Data Scientist

Job Description:-

Responsibilities:

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements:

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

• Desire to explore new technology and break new ground.
• Are passionate about Open Source technology, continuous learning, and innovation.
• Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.

Qualifications

• Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
• You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
• Participate in code reviews and provide meaningful feedback to other team members.
• Create technical documentation.
• Develop thorough Unit Tests to ensure code quality.

Skills and Experience

• Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
• Experience with event-driven architecture design patterns and practices
• Experience in database design and architecture principles and strong SQL abilities
• Message brokers like Kafka and Kinesis
• Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
• Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
• Good understanding of distributed systems.
• Candidates will be self-motivated and display initiative, ownership, and flexibility.

Preferred Qualifications

• AWS Lambda function development experience with Java and/or Python.
• Lambda triggers such as SNS, SES, or cron.
• Databricks
• Cloud development experience with AWS services, including:
• IAM
• S3
• EC2
• AWS CLI
• API Gateway
• ECR
• CloudWatch
• Glue
• Kinesis
• DynamoDB
• Java 8 or higher
• ETL data pipeline building
• Data Lake Experience
• Python
• Docker
• MongoDB or similar NoSQL DB.
• Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
• Gradle and/or Maven.
• JUnit
• Git
• Scrum
• Experience with Unix and/or macOS.
• Immediate Joiners

Nice to have:

• AWS / GCP / Azure Certification.
• Cloud development experience with Google Cloud or Azure