Image Processing Engineer

Sizzle is an exciting new startup in the world of gaming. At Sizzle, we’re building AI to automatically create highlights of gaming streamers and esports tournaments. 

For this role, we're looking for someone that loves to play and watch games, and is eager to roll up their sleeves and build up a new gaming platform. Specifically, we’re looking for a technical program manager - someone that can drive timelines, manage dependencies and get things done. You will work closely with the founders and the engineering team to iterate and launch new products and features. You will constantly report on status and maintain a dashboard across product, engineering, and user behavior. 

You will:

• Be responsible for speedy and timely shipping of all products and features
• Work closely with front end engineers, product managers, and UI/UX teams to understand the product requirements in detail, and map them out to delivery timeframes
• Work closely with backend engineers to understand and map deployment timeframes and integration into pipelines
• Manage the timeline and delivery of numerous A/B tests on the website design, layout, color scheme, button placement, images/videos, and other objects to optimize time on site and conversion
• Keep track of all dependencies between projects and engineers
• Track all projects and tasks across all engineers and address any delays.  Ensure tight coordination with management.

You should have the following qualities:

• Strong track record of successful delivery of complex projects and product launches
• 2+ years of software development; 2+ years of program management
• Excellent verbal and communication skills
• Deep understanding of AI model development and deployment
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Bachelors or masters degree in computer science or related field
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Technical program management, ML algorithms, Tensorflow, AWS, Python

Work Experience:  3 years to 10 years

• Hands-on development and optimization of image enhancing algorithms for image processing using computational imaging
• Working with peer teams on researching and resolving complex software and system problems
• Analvze and optimize different methodologies to improve output of image processing
• Work closely with Quality Assurance teams to refine algorithms for optimal system performance
• Support products from the early development and prototyping phases through to production
• Developing functional specifications per customer requirements
• Good understanding of image processing techniques such as edge detection skills, image alignment, removing noise, image segmentation, correction/modification, compression, and image reconstruction

Job Description

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

 Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
• Strong problem-solving ability
• Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
• Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
• Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
• Experience of GPU/DSP/other Multi-core architecture programming
• Effective communication with other project members and project stakeholders
• Detail-oriented, eager to learn, acquire new skills
• Prior Project Management and Team Leadership experience
• Ability to plan work and meet deadlines

Exciting opportunity for a MTS 3 in our Blockchain Engineering team.  You will be working with a team of engineers dedicated to making the VMware Blockchain Platform the dominant Enterprise Blockchain solution. 

At VMware, we are building an Enterprise Blockchain with innovation, enterprise-grade capability, and solutions that will power blockchain in every market sector.  

You will work with a team of talented and supportive individuals from across the world as well as members of the academic community and VMware’s Research Group in this role. Our team values diversity, collaboration, and open thought while supporting VMware’s EPIC2 values. 

Are you ready for your next great challenge with the Blockchain Engineering team in VMware?  

Responsibilities 

• Contribute to implementation of an enterprise blockchain solution. This includes but is not limited to work on the Byzantine Fault Tolerant State Machine Replication layer, work on the execution engine and smart contract layer and work on the ledger layer. 
• Collaborate effectively with other engineers and researchers to solve complex problems 
• Collaboration with cross functional teams involved in the product delivery 
• Working with global team in different geographical locations 

Requirements 

• Knowledge of modern software development methodologies. 
• Deep understanding of distributed computing concepts in practice   
• Ability to work independently and work collaboratively in a team environment,  

including quickly getting up to speed with new technologies.   

• Strong development experience in C++( v11 and higher)  in Linux 
• Expertise in one of the following: distributed systems, security/cryptography
• Proficient organizational skills with the ability to lead challenging demands. 
• Experience with leading the everyday activities of a global engineering team using Agile/Scrum processes. 

Who you are: 

• Self Starter – Thrive in a fast paced and changing environment.   
• Strong collaboration skills with a “Team First” mentality.  
• Technical engineering excellence, innovation in everything you do.   
• “Growth” mindset in tackle problems and creating great solutions.    

Opportunity to work as a Technical lead.

Company : Splenta Systems Pvt Ltd

Job location : Bangalore

- As a Java Full-stack Engineer or as Java Back-end Developer, you will be responsible for designing and implementing Microservices based application workloads on cloud platform.

- You should have expertise in building/implementing Microservices solution components and be able to put them on cloud platform with necessary configurations.

Top Skills : Java, Spring Boot, Spring Cloud, Microservices Architecture & API Design, Cloud Deployment, DevOps CICD and TDD.

Responsibilities :

- Should be able to provide technical direction and be hands-on with implementation skills for build new age application workloads with proper design considerations and align with overall architecture goals.

- The implementation should meet both functional and non-functional requirements.

- Able to lead team and multitask across different role expectations seamlessly - developer, Tech Lead, Designer.

- Create and review design and implement solution artefacts

- Proactively provide guidance on engineering methodologies, standards and leading practices for the development team.

- Able to design and implement e2e testing while adopting TDD and setting up required tooling infrastructure for automation.

- To help technical team with any code difficulties and manage task distribution and delivery for assigned team members

- Assist in qualifying team members addition by conducting technical interveiew

Experience :

- 4-5 years of experience in application development and deployment,

- Good technical design skills, implementing complex solutions on cloud.

- Have application specific configurations and troubleshooting experience.

- Design and implementation experience in asynchronous applications - event based.

- Application implementation with REST APIs and message integration workflows.

- Ability to implement and analyze application diagnostics and telemetry both from application and from platform.

Team Collaboration must have :

- Customer-oriented, diligent, proactive, focused on achieving customer's business objectives as top priority.

- Able to work successfully both individually and as a team member.

- Easy-going, friendly, communicative, positive in relations with colleagues.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics