Senior Software Engineer

The responsibilities are detailed as below:

• Experience in understanding and translating data, analytic requirements and functional
needs into technical requirements while working with global customers
• Build and maintain data pipelines to support large scale data management in alignment with
data strategy and data processing standards
• Experience in Database programming using multiple flavor of SQL
• Deploy scalable data pipelines for analytical needs
• Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud
(Dataproc/EMR/HDInsight)
• Worked on query languages/tools such as Hadoop, Pig, SQL, Hive, Sqoop and SparkSQL.
• Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines
• Exposure to latest cloud ETL tools such as Glue/ADF/Dataflow
• Understand and execute IN memory distributed computing frameworks like Spark (and/or
DataBricks) and its parameter tuning, writing optimized queries in Spark
• Hands-on experience in using Spark Streaming, Kafka and Hbase
• Experience working in an Agile/Scrum development process

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 Description

• Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.

• Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.

• Execute large-scale projects - Provide technical leadership in architecting and building product solutions.

• Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.

• Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.

• Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.

• Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.

Qualifications

      • 15+ years of relevant engineering experience.

• Proven record of building and productionizing highly reliable products at scale.

• Experience with Java and Python

• Experience with the Big Data technologie is a plus.

• Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision

• Can collaborate well with several other engineering orgs to articulate requirements and system design

Additional Information

Professional Attributes:
• Team player!

• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.

• Excellent written and verbal communication skills, including the ability to write detailed technical documents.

• Passionate about helping teams grow by inspiring and mentoring engineers.

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

Must-Have Skills:

• Extract and present valuable information from data
• Understand business requirements and generate insights
• Build mathematical models, validate and work with them
• Explain complex topics tailored to the audience
• Validate and follow up on results
• Work with large and complex data sets
• Establish priorities with clear goals and responsibilities to achieve a high level of performance.
• Work in an agile and iterative manner on solving problems
• Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
• Good understanding of Digital & analytics
• Strong communication skills, orally and in writing

Job Overview:

As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

 

Primary Responsibilities:

 

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

 

Additional Responsibilities:

 

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

 

Knowledge, Skills and Abilities

 

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

 

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

 

About MX Player (https://play.google.com/store/apps/details?id=com.mxtech.videoplayer.ad&;hl=en_IN">Playstore Link)

MX Player is the world’s #1 entertainment superapp offering 100,000+ hours of premium OTT (over the top) content spanning acclaimed MX Originals, Web Shows, TV (Live & OnDemand), movies, music videos and hyper-casual games, music streaming, short form video and more. With more than 1 billion installs worldwide – MX Player is present on 1 out of every 2 smartphones, making it the largest entertainment app/platform in the world.

 

Position : Product Analyst / Business Analyst - Ad Tech

Key Responsibilities:

 

• Driving the collection of new data that would help build the next generation of algorithms (E.g. audience segmentation, contextual targeting)
• Understanding user behavior and performing root-cause analysis of changes in data trends to identify corrections or propose desirable enhancements in product & across different verticals
• Excellent problem solving skills and the ability to make sound judgments based on trade-offs for different solutions to complex problem constraints
• Defining and monitoring KPIs for product/content/business performance and identifying ways to improve them
• Should be a strong advocate of data driven approach and drive analytics decisions by doing user testing, data analysis, and A/B testing
• Help in defining the analytics roadmap for the product
• Prior knowledge and experience in ad tech industry or other advertising platforms will be preferred

Tools/ Skillset:

• Knowledge of Google DFP (prefered)
• SQL
• R/Python (preferred) 
• Any BI Tool such as tableau, sisense (preferred)
• Go getter attitude
• Ability to thrive in a fast paced dynamic environment
• Self - Starter

Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.

This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.

We are building the AI core for a Legal Workflow solution. You will be expected to build and train models to extract relevant information from contracts and other legal documents. Required Skills/Experience: - Python - Basics of Deep Learning - Experience with one ML framework (like TensorFlow, Keras, Caffee) Preferred Skills/Expereince: - Exposure to ML concepts like LSTM, RNN and Conv Nets - Experience with NLP and Stanford POS tagger