Ortho Product Manager

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.

Responsibilities

• Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements
• Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Who you are

You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
• Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
• Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
• Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
• Experience with common relational SQL, NoSQL and Graph databases.
• Strong experience with scripting languages: Python, PySpark, Scala, etc.
• Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
• Experience with big data tools (Spark, Kafka, etc) and stream processing.
• Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
• Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
• Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

iNFX is a set of micro-services that (mainly) will run on our embedded Linux devices – our payment terminals and edge devices. The purpose is to provide key software building blocks for the things our customers need to do on their retail sites – like processing payments, integrating with devices on the forecourt (petrol dispensers, EV chargers, Tank gauges, price signs), running the workflow on payment terminals and providing for mobile payments & customer engagement. 

 The team we are looking for would be working on the C++ based microservices. Experience with payments processing would be very beneficial. 

While we ideally want C++ developers, it is important to note this is Application development rather than traditional “embedded” development. We want people who understand APIs, protocols, and ideally payments. Ideally having worked with Linux, although Kernel driver development experience is not so important. Neither is bare-metal / low-level firmware experience. The software is also intended to be portable to Windows environments - so experience in cross platform development is important. 

No need to target Assembler skills for the Application Engineer, good C++ & Linux Application development skillsets are important but experience in the payment domain is an truly an advantage some of payment domain experience/expertise would be - understanding of ISO8583 type messaging, payment transaction types, payment software development exposure, EMV understanding, Payments security and certification etc

Roles and Responsibilities

1.    Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.    Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.    Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.    Oversee and facilitate MHFAI instructors for training and upskilling.

5.    Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.    Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.    Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.    Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.    Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11. Provide support in other operational functions of MHFA as needed.

Requirements:

·      10-15 years in clinical work and / or mental health training

·      Qualification: Education in Mental Health

·      Experience in Clinical Practice / Research

·      Exposure to mental health training and created content or training on Mental Health for Adult

·      Experience of having previously worked in organized group is desirable

Required Skills:

• Fluency in any one of JavaScript, TypeScript, or Python.
• Strong problem-solving skills.
• Should have built large scalable enterprise applications from scratch.
• Strong experience in architectural patterns, High-level designs.
• Experience in NoSQL and SQL DBs.
• You have a knack for launching and iterating on products quickly with quality and efficiency
• Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment
• Hands-on, self-starter, capable of working independently
• True love for technology and what you do
• Maniacal attention to detail
• 3+ years of experience 

You can apply directly through here -

https://lnkd.in/erjTTJuS

The candidate should have good team player skills and the ability to work hard independently under the least supervision. Should be a problem solver and self-motivated to work in a startup environment. Must have good learning and grasping skills. Keen to learn new things and flexible to work with startup culture.

Responsibilities

• Translate existing designs and wireframes into high-quality code.
• Design, build and maintain high-performance, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Help maintain code quality, organization, and automatization.
• Work in an agile environment with continuous integration and deployment.
• Detail requirements taking inputs from the team and coming up with estimations for planning.
• Collaborate on projects with a closely-knit team.
• Develop and maintain mobile apps using Rest APIs.

Requirements

• Experience- 0-2 years.
• Good aptitude and good attitude.
• Need a hardworking candidate.
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• Strong Knowledge of OOPs.
• Strong Knowledge of Core Java.
• Hands-on experience in Java.
• Familiarity with RESTful APIs to connect Android applications to back-end services.
• Strong knowledge of Android UI design principles, patterns, and best practices.
• Experience with offline storage, Proficient with Multithreading, I/O stream, Collections, etc.
• Ability to design applications around natural user interfaces.
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks.
• Ability to understand business requirements and translate them into technical requirements.
• Familiarity with cloud APIs and push notifications.
• A knack for benchmarking and optimization.
• Understanding of Google's Android design principles and interface guidelines.
• Proficient understanding of code versioning tools, such as GitHub.
• Familiarity with continuous integration.
• A team player, fast learner with good verbal and written communication skills

Preference

• Hands-on experience in Kotlin.

Education

• UG: BCA in Computers, B. Tech/B. E. in Any Specialization.
• PG: Any Postgraduate in Any Specialization.