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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We are Software Craftspeople. We are proud of the way we work and the code we write. We embrace and are evangelists of eXtreme Programming practices. We heavily believe in being a DevOps organization, where developers own the entire release cycle and thus own quality. And most importantly, we never stop learning!
We work with product organizations to help them scale or modernize their legacy technology solutions. We work with startups to help them operationalize their idea efficiently. We work with large established institutions to help them create internal applications to automate manual opperations and achieve scale.
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Our Founder
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Key Focus Areas of Edstellar Global:
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- Partnerships with Global Institutions:
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- Remote and Hybrid Learning Models:
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- Localized Solutions for Global Reach:
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- Focus on Sustainability and Inclusion:
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