11+ Assembly language Jobs in India

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature

Role Summary:

Front-end Developer who would contribute towards building a highly flexible and scalable front-end by bringing deep core technology expertise.

Job Description:

- Ensure proper offline access using service workers and PWA

- Develop components which are SEO friendly

- Have experience in server-side rendering

- Drive evolution of application performance

- Ensure project scalability by having good project architecture

Skill Requirements:

- Good experience in HTML5, CSS3, JS - React

- React native

- Angular - Redux exposure - Have handled service workers and PWA caching and updates - CSS pre-processors knowledge like sass - Knowledge of webpack, parcel, grunt etc.

-Knowledge of pre-processors like SASS/LESS, CSS-Modules.

- Architecting and automating the build process for production, using task runners or scripts (Gulp / Grunt)

-Have an eye for good UI/UX, Progressive Web Apps, Responsive Design

-Interested in writing code, actively experimenting along with learning new things.

Individual applying to the role should ideally have the following attributes

-Passionate about Frontend Development and continually follow the platform & innovations

-Strong and innovative approach to problem solving and finding solutions

-Interested in working on fast-paced

- Excellent communicator (written and verbal, formal and informal)

- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution

- Ability to multi-task under pressure and work independently with minimal supervision.

- Ability to prioritize when under pressure.

Required Skill Set :--

• Data Model & Mapping
• MS SQL Database
• Analytics SQL Query
• Genesys Cloud Reporting & Analytics API
• Snow Flake (Good to have)
• Cloud Exposure – AWS or Azure

Technical Experience –

·        5 - 8 Years of experience, preferable at technology or Financial firm

·        Strong understanding of data analysis & reporting tools.

·        Experience with data mining & machine learning techniques.

·        Excellent communication & presentation skills

·        Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping

·        Must have hands on experience in database tools & technologies

·        Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API

·        Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud

·        Ability to work independently & as part of a team

·        Strong attention to detail and accuracy.

Work Scope –

• Data Model similar GIM database based on the Genesys Cloud data.
• API to column data mapping.
• Data Model for business for Analytics
• Data base artifacts
• Scripting – Python
• Autosys, TWS job setup.

Job Description: Data Engineer (Fintech Firm)

Position: Data Engineer

Experience: 2-4 Years

Location: Mumbai-Andheri

Employment Type: Full-Time

About Us:

We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.

Job Overview:

We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.

Key Responsibilities:

• Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
• Build and maintain efficient data pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize database performance and ensure data integrity and security.
• Troubleshoot and resolve data-related issues and provide support for data operations.
• Implement data quality checks and monitor data pipeline performance.
• Document technical solutions and processes for future reference.

Required Skills and Qualifications:

• Bachelor's degree in  Engineering, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Strong proficiency in ETL tools and techniques.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing concepts and tools 
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science principles.
• Experience with real-time data processing and streaming platforms (e.g., Kafka).

What We Offer:

• Competitive compensation package (12-20 LPA) based on experience and qualifications.
• Opportunity to work with a talented and innovative team in the fintech industry..
• Professional development and growth opportunities.

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Prior experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with more current specifications of EcmaScript
• Prior experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Familiarity with HTML / CSS
• GIT experience is a plus
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools