AI Systems Architect Job Vacancy in Peak AI Jaipur, Rajasthan – Latest Jobs in Jaipur, Rajasthan

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Company Name : Peak AI
Location : Jaipur, Rajasthan
Position : AI Systems Architect

Job Description : The Opportunity
Peak is the Decision Intelligence company. We are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company. One where we truly value our people & culture, and strive to make Peak an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this.
We have ambitious plans over the coming years; to launch and lead a new category of technology (Decision Intelligence), expand our operations and create the best working culture possible. This is a great time to join Peak and the Engineering team, as we start the next stage of our global growth.
The Role
Based in Jaipur, you’ll be working with cutting edge technologies in a collaborative team where everyone’s input is valued. You will create programmes and algorithms that enable machines to take actions without being directed. You’ll be encouraged to explore new tech and bring fresh ideas to the table.
Key Responsibilities:

Research to identify the latest available algorithms in the world of machine learning and analyse the typical construct for them to work. .
Introduce new features in AI systems so that machine learning tools/technologies are backed by best practices such as intelligent API/infrastructure management, A/B testing, Model management or any other best practice to put ML in production systems.
Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming
Build data & model pipelines and collaborate with data engineers
Manage the infrastructure and data pipelines needed to bring code to production
Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
Use data modelling and evaluation strategy to find patterns and predict unseen instances
Research and implement best practices to improve the existing machine learning infrastructure
Provide support to engineers and product managers in implementing machine learning in the product
Working closely with colleagues within the Engineering and Data Science teams in the UK and India, to analyse business problems, clarify requirements, define scope, share knowledge and collaborate.
Consulting clients and colleagues concerning the maintenance and performance of software systems.
Continually updating your technical knowledge and skills.

Required Skills and Experience

In depth knowledge of machine learning – supervised, unsupervised, self-supervised algorithms.
Interest and understanding of latest machine learning techniques like transfer learning, MDP/POMDP, reinforcement learning, generative adversarial networks, sequence to sequence modelling etc. and their applications in engineering and businesses.
Building and designing distributed ML systems for business intelligence reporting as well as transactional processing.
In-depth understanding of AI model creation flow, AI model metrics
Experience in applying machine learning algorithms and libraries like ScikitLearn, Tensorflow, Keras, Pytorch
Microservices architecture – both designing and implementing.
Ability to work with data payloads of various sizes (few bytes/high frequency to few gigabytes/low frequency)
Knowledge of building APIs in Python
Performance tuning of ML systems
Experience working with agile methodologies.
Good at managing customer & colleague expectations and working towards achieving team deadlines and goals.
Excellent teamwork with the ability to coach others.
Interest in learning new technologies and ability to pick these up quickly.
A logical, analytical and creative approach to problem solving.

As well as doing great work we have created an award-winning, fun and exciting workplace that people love to be, we are looking for people to join us who share our values and are:

Open – Always up for new ideas and able to take and give feedback in a positive way.
Driven – sets high goals, doesn’t give up, and goes extra miles to ensure that their job gets done on time and meets/exceeds expectations.
Curious – Aware of new technologies and uses them to make new improvements in the Engineering ecosystem.
Smart – Innovative and thinks out of the box, in difficult situations finds a way to succeed no matter what
Responsible – takes ownership of tasks given and has a strong work ethic.

The Peak Decision Intelligence Platform
Leveraging serverless and container architecture, Peak is built for handling data at scale. It enables businesses to productionize AI, end-to-end, in a single platform. Insights and intelligence can be accessed via an array of outputs including in-built and custom apps, integrated via APIs and more.
You can read more about Peak on our website too.
Benefits

Opportunity to make a large impact in a fast-growing company with global ambitions and influence Peak’s early success in entering the global market.
Share options / Equity in Peak – Peak is our company, Peak is your company.
Flexible culture – Hybrid working model (Clubhouse/Home) and flexible hours with work life balance in mind.
33 days annual leave, inclusive of bank holidays, rising with each year of service up to 38 days.
Family leave benefits, including a world class maternity pay policy (more details here).
A fantastic working environment with open communication channels, autonomous high performance culture and a truly collaborative style.
Opportunity to work from anywhere in the world for 1 month of the year, after one years service.
Mental and physical health support through a variety of channels, e.g., Headspace and Spill app subscriptions, online yoga/boxing/HIIT classes, regular team days and social activities.
Cycle to work initiative and public transport season ticket loans.
Working with cutting edge tech – you will develop skills and experience essential in the modern economy.
Learn from like minded & talented team members across multiple disciplines.
Opportunity to develop in various areas that you may take an interest in as part of your personal development.

Inclusion and Diversity at Peak

Our mission at Peak is to help businesses do great things with AI – we are the innovators, the disruptors and the gamechangers.

Diverse and inclusive companies will drive the fourth industrial revolution – and we will lead from the front.

Over the next 5 years, we need more than words to create a stronger company and a fairer society, which is why Peak is committed to not only creating an amazing place to work, but a diverse and inclusive one too.

We want to create awesome teams and leadership, where everyone can bring their authentic selves to work and their ideas to solve the complex problems for the companies and the communities we serve.

About Peak
Founded in Manchester in 2015 by Richard Potter, David Leitch and Atul Sharma, Peak is on a mission to change the way the world works. We have our clubhouses in Manchester, London, Jaipur, Pune, Mumbai and New York. Our decision intelligence platform provides businesses all over the world with AI-powered solutions that drive commercial outcomes.
Connecting data sets from across an organisation to provide predictive insight and recommended actions, the Peak platform directs fast and effective decision making. It is used by leading brands including Nike, Pepisco, KFC, Sika and PrettyLittleThing.
In August 2021, Peak announced a $75m Series C funding round led by SoftBank’s Vision Fund II. We have grown significantly over the last three years, and now number over 200 people globally. This year Peak received a Best Companies 3-star accreditation, which recognises extraordinary levels of employee engagement and was ranked by The Sunday Times as one of the Best 100 Companies to Work For in 2020 and 2021.
Find out a whole lot more on our website

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