Deep Learning
Machine Learning (ML)Job Title: Chief Engineer: Deep Learning Compiler Expert
You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.
In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.
Necessary Skills / Attributes:
- 6 to 15 years of experience in the field of compiler design and graph mapping.
- 2+ years hands-on experience with MLIR and/or LLVM.
- Experience with multiple toolchains, compilers, and Instruction Set Architectures.
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
- Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
- Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
- Familiarity with parallelization techniques for ML acceleration.
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
- Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
- Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
- Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
- Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
- Experience with Hardware and Software Co-design.
M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.
Work Profile:
- Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
- Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
- Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
- Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
- Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
- Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
- Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
- Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
- Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
- Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
- Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Keywords to source candidates
Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Kubernetes
Amazon Web Services (AWS)Location: Bangalore preferred / Hybrid as applicable
Experience: 3+ years
Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline
Salary: Above market standards, flexible for the right candidate
Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations
About FrontM
FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.
The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.
Role Summary
As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.
This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.
Key Responsibilities
Cloud Infrastructure & DevOps Architecture (≈45%)
· Own, maintain and improve AWS cloud infrastructure for FrontM platforms
· Create and maintain Terraform scripts for infrastructure deployment and management
· Manage Kubernetes workloads deployed within AWS EKS
· Support multi-zone AWS infrastructure design for availability, resilience and scale
· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap
CI/CD, Operations & Platform Reliability (≈35%)
· Build, maintain and improve CI/CD pipelines for backend and platform services
· Oversee technical operations with hands-on administration, monitoring and release support
· Ensure continuous server uptime, stability, performance and maintainability
· Debug, respond to and restore system outages in production and staging environments
· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io
· Support backend stability, scale and performance across Node.js, Java and related services
Security, Networking & Production Support (≈20%)
· Maintain AWS security configurations, access controls and monitoring practices
· Support complex networking requirements across multi-domain SaaS implementations
· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users
· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements
· Document operational procedures, incident findings and technical support steps clearly
Required Technical Skills
Cloud Infrastructure & AWS
· Strong hands-on experience with AWS infrastructure and cloud operations
· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Experience with AWS security setup, monitoring and multi-zone infrastructure
· Ability to manage infrastructure using Terraform
Kubernetes, CI/CD & Observability
· Strong experience with Kubernetes, preferably AWS EKS
· Extensive CI/CD and DevOps experience
· Experience with infrastructure observability and application monitoring tools
· Ability to diagnose production bottlenecks, server failures and performance issues
Backend, Networking & SaaS Operations
· Experience supporting Node.js, Java and backend system procedures for stability and scale
· Good understanding of APIs, integrations and backend service dependencies
· Experience with complex networking and multi-domain SaaS implementations
· Ability to troubleshoot technical issues with non-technical end users
Nice to Have
· Experience with MongoDB clusters in MongoDB Atlas
Personal Attributes
· Strong ownership mindset for uptime, reliability and production stability
· Practical problem-solving approach with the ability to act quickly during incidents
· Clear written and spoken communication in English
· Ability to work independently and coordinate with senior management when required
· Comfortable working in fast-moving engineering teams
· Attention to detail in security, monitoring, documentation and operational processes
Why join FrontM?
Long-Term Career Growth
Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.
Engineering Challenges That Matter
Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.
Broad Technical Ownership
Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.
Apply now
Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.
Strong MLOps profile
Mandatory (Experience 1) - Must have 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
Mandatory (Experience 2) - Must have 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
Mandatory (Experience 3) - Must have 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
Mandatory (Experience 4) - Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
Mandatory (Experience 5) - Must have hands-on Python for pipeline & automation development
Mandatory (Experience 6) - Must have 4+ years of experience in AWS cloud, with recent companies
Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred
Data Science
R Programming
Pythonengineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!
Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
Company Name
: JNJ TECHNOLOGIES & SERVICES LLP
Job Timing
: 10.00 AM – 7.00 PM
Working Days
: Monday to Saturday
Location
: Remote
Qualification
: Graduate/Diploma
Requirement
: Laptop & Wi-Fi
Position
: Full time
Java
Spring BootKey Responsibilities:
- Lead and manage a team of Java developers, providing guidance and support
- Oversee the entire software development lifecycle, from requirements gathering to deployment
- Design, develop, and implement Java-based solutions that meet project requirements
- Collaborate with cross-functional teams to ensure project milestones are achieved
- Conduct code reviews, provide technical guidance, and ensure code quality and best practices
Requirements:
- Minimum 4 years of experience in Java development
- Strong knowledge of Java frameworks and technologies (Spring, Hibernate, etc.)
- Experience in leading and mentoring a team of developers
- Excellent problem-solving and analytical skills
- Good understanding of software development methodologies and processes
Data AnalyticsPythonAbout The Position:
The core of our Real Estate Tech ecosystem is the products we build and the Data that powers them. With a large number of products and business functions in place, Data flows massively into our backend. transactions, click events, uploads, updates, geospatial events, etc. flows in the system in large volumes and varieties. Constant monitoring of KPIs for all the product and business functions is an integral part of our success. As a product analyst, you will be an integral part of driving this success.
You will work closely with Product & Data Sciences to define KPIs, Report & Track them. You will breathe Data and with the spirit communicate to Business, understand problems, answer questions and create strategic solutions with Data. Your numbers and dashboards will drive business decisions, product enhancements & track product metrics.
An ideal candidate should possess strong analytical capabilities in Big Data with equal product & business acumen along with fluid communication abilities. They should have a strong quantitative/technical background, natural curiosity, and the ability to influentially communicate to senior leadership with numbers and strategic insights.
If you can talk numbers with people who run the shop, you are the one we are looking for.
What will you bring:
- Strong quantitative aptitude with a keen product inclination
- Passion for consumer products with an equal affection to Data
- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields
- Proven track record in quantitative analytics
- Proficient in SQL - the language of Data
- Strong foundations in Statistics - the grammar of Data
- Proficient in at least one of the following analytics tools - Pandas/R (Not Excel)
- Fluid scripting abilities with Python
- Strong understanding of the grammar of Data Visualization with the ability to make expressive reports and dashboards
- Strong interpersonal skills - verbal and written
- Strong understanding of experimentation methods (hypothesis testing, product experimentation, regressions, experimentation logic, and biases)
- Strong understanding of product growth optimization methods - tracking activity funnels, drop rates, outbound communication strategies like push, recommendations, emails, etc.
- Ability to function smoothly in a collaborative environment with Product, Business & Data Sciences
What we have to offer?
- An exciting and challenging working environment with passionate and enthusiastic people that builds an entrepreneurial mind-set.
- Be part of a start-up from the very beginning, work directly with founders, lead your area of expertise, build kickass products, and be a part of this exciting growth journey of changing the world.
- Best in class Salary
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on caste, race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
React.js
Javascript
Angular (2+)
HTML/CSS
BootstrapRoles and Responsibilities :
- Lead the delivery of high quality, innovative, flexible, cost-optimized, and scalable technical solutions that meet business requirements
- Design, Develop, test, and maintain software applications with MVC architectures, Microservices, and scalable cloud-native apps.
- Perform hands-on coding and provide thoughtful code reviews
- Mentor and lead team members to continuously improve quality and productivity of deliverables
- Demonstrate ability to work within an agile team as well as collaborate with many other teams on design and implementation strategies. Follow SCRUM Agile Development methodology
- Effective Communication Skills- An ability to express your ideas to the recipient & Co-ordinate and communicate with cross-functional team along with the client's team
- Problem Solving, Hustler - Get Stuff Done, Self-Disciplined Open-minded, User-Focused, Adaptive
- Lean Principles & Analytical Thinking
- Project planning, timelines, and milestones for execution and deliverables
- Participate in the Evaluation Review of your team member
Primary Skills
- Experience in building an enterprise web application using ReactJS as the frontend framework
- Experience with Redux and React Hooks
- Expert in HTML5, CSS3
- Experience in Bootstrap4 or CSS pre-processor like Less or Sass is highly desirable
- Strong knowledge of best practices and modern web design trends is necessary.
- Some experience with modern web-based typography.
- Excel at rapid prototyping and at writing good code.
- Experience with testing/debugging in multiple browsers and platforms.
- Expertise in using JavaScript
- Should have worked on REST client and WebSockets
- Should be able to write Unit testing using any one of the frameworks like Cypress, Jasmine, Karma, Jest, Enzyme, or any other similar framework.
- Should have experience in either one of the Build scripts like Gulp or Grunt or Webpack
- Low-Latency UI, Page optimization, and bundle build+caching
- Problem-solving and debugging skills
- Component-based architecture
Python● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).
ProgrammingRole Value: By developing highly performant, robust and scalable web services and back-ends, you will have an impact on the latency and accuracy. You will add value to our organization by mentoring and guiding engineers. By spotting opportunities in new technologies and identifying areas where they could be leveraged, you will have a deep impact on our tech stack and the way it benefits the business.
Role: You will work with stakeholders to identify the business problem, and then develop layered architectures that can be delivered in an incremental fashion. You will demonstrate a combination of technical leadership and business acumen by making appropriate trade-offs of technical integrity, complexity, time to market and cost. You are a stellar engineer and will write production quality code 70-80% of the time.
Responsibilities
- Design and implement features spanning across systems in a manner that satisfies requirements of performance, scale, security and robustness
- Contribute to improvement of technology and execution processes in the company
- Collaborate in setting technology standards with technology leaders across the company
- Serve as a knowledge centre on current and emerging technologies, and help train others when required
- Foster a strong technical culture by mentoring other engineers
- Keep up to date with the latest technologies, evaluate new tools
- Should open to work on Golang.
Relevant Experience and Qualifications
- Demonstrated expertise in system-level design of large scale distributed systems on OOPs, and experience with web services and service oriented architectures
- Have 7 - 13 years of professional experience in software development.
- Extensive experience with modern open source systems including relational / non relational data stores.
- Experience with AWS stack, at least the common datastores and services
- Experience with containerization technologies and concepts including Docker
- Basic knowledge about security concepts and secure coding
- Excellent analytical, conceptual and communication skills in spoken and written English.
Progression
- At Devtron Labs you have the opportunity to work in a collaborative and trusting environment allowing you to turn your ideas into reality
- be part of a strong team, where everyone’s opinion matters
- have flexible working hours, and learning & development opportunities
- We trust on you because we are having fully remote work culture
- work in a meritocracy, where you grow professionally by excelling at work
Equal Opportunities: Devtron Labs is, and always will be, committed to diversity and inclusion. We seek Devtronians from all backgrounds to join our teams and encourage everyone to bring their authentic, original and best selves to work.
- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.
- Provide outstanding services and ensure customer satisfaction.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon