Prismforce
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NodeJS (Node.js)
AngularJS (1.x)Responsibilities:
- Expertise in back-end programming language JavaScript , TypeScript , NodeJs
- Writing HTML , CSS , and JavaScript
- Working with RDBMS such as Postgres or MySQL
- Experience implementing testing platforms and unit tests Proficiency with Git Appreciation for clean and well-documented code
- Understanding of microservices and distributed systems
Good to haves:
Experience working with AWS infrastructure Docker or Kubernetes Message queues such as Kafka CI/ CD tools such as Jenkins
Requirements:
- Proven work experience as a Back-end developer In-depth understanding of the entire web development process (design , development and deployment)
- Hands on experience with programming languages like Node.js , Javascript Familiarity with front-end languages (e.g. HTML , JavaScript and CSS)
- Excellent analytical and time management skills
- BE/Btech degree in Computer Science or relevant field
Required Skills:
Back-End Programming, JavaScript, TypeScript, NodeJs, Testing, Node.js, SAAS Product, IT Services, Profitability, ERP, SaaS, IT Service, Web Applications, B2B, Self-Driven, Writing, HTML, CSS, RDBMS, Postgres, MySQL, Git, Microservices, AWS, Infrastructure, Docker, Message Queues, Kafka, CI/CD, Jenkins
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Data Science
Machine Learning (ML)Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Required Skills:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia
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Data ScienceMachine Learning (ML)Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.
We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.
Location: Mumbai / Bangalore / Pune / Kolkata
Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
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About Us
Incubyte is an AI-first software development agency built on the principles of software craftsmanship—where how we build is just as important as what we build. We partner with organizations across stages, from enterprises looking to scale and modernize to early-stage founders bringing new ideas to life.
At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
Whether you’re scaling an existing product, building from scratch, or optimizing manual processes, we help you move faster with confidence:
- Scale and modernize your product
- Launch quickly and iterate continuously
- Automate processes for non-linear growth
- Build systems that are stable, predictable, and measurable
Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
We’re always looking for people who care deeply about code, craftsmanship, and growth. Join us if you’re excited to build, learn, and make an impact.
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We’ve achieved 300% growth in the cybersecurity field. We’ve partnered with the most impactful organisations - whether it is the largest cybersecurity company or the fastest growing unicorn. We're building an amazing place to work and we invite you to join us.
Engineering Centric Culture
At Metron, we strive to maintain and cultivate a developer-centric culture. Here’s what this means in action:
Meaningful and ever-evolving work
We’ve built integrations and custom solutions for 200+ security platforms and keep adding more to the list. You will be constantly learning about new platforms, acquiring new skills, and being exposed to cutting-edge security technology and other tools.
Work directly with clients and end-users
We encourage our developers to have a client-facing approach. At Metron, you will be able to demonstrate and discuss your code with the people who will be using it on a regular basis.
A balanced workspace
Everyone has a personal life outside of the office. We do not expect you to work weekends or overtime (and actively encourage you not to do so). We also aim to provide you with all the required perks and benefits to keep you in good health and spirits.
A level hierarchy
There are only 2 roles in the organisation - Development and QA. Every employee will either be writing code or testing for quality. We don’t believe in helicopter managers who hover above you and do not understand your work.
Hybrid work mode
Like to work at the office? We can accommodate you. Prefer to work from home? No problem! Need a combination of both? Whatever model works for you, works for us.
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StepSecurity is dedicated to enhancing CI/CD security by providing solutions to prevent pipeline attacks. Founded by seasoned security professionals with experience at Microsoft, Uber, and Plaid, StepSecurity addresses the security gaps highlighted by major breaches like SolarWinds and Codecov.
Founders:
- Varun Sharma: CEO & Co-Founder, formerly at Microsoft.
- Ashish Kurmi: CTO & Co-Founder, with experience at Plaid, Uber, and Microsoft.
Advisors:
- Sekhar Sarrukai, David Cross, Gagan Gulati, Jordan Harband, Ram Shankar Siva Kumar.
Investors:
StepSecurity is backed by leading VCs and notable angel investors, including Anmol Malhotra (Coinbase), Ash Devata (GreyNoise), and David Cross (Rain Capital).
Funding raised: $3M - Seed Funding
For more detailed information, visit - https://www.stepsecurity.io/team
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