Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Prototype and develop embedded systems solutions

• Integrate and interface various sensors, actuators, motor drivers, GSM, and GPS modules

• Collaborate with the team to design and implement firmware

• Troubleshoot and debug hardware and software issues

• Assist in the selection of appropriate components and technologies

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field (preferred)

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Design, develop, and implement user-friendly and responsive web applications

• Collaborate with designers to translate mockups and wireframes

• Develop and maintain clean, well-documented, and efficient codebases

• Troubleshoot and debug complex technical issues

• Stay up-to-date with the latest web development technologies and trends

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or related field

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Design, develop, test, and document ROS-based software components

• Develop scalable, highly reliable enterprise global systems

• Participate in design and code reviews

• Support the production environment

• Collaborate with cross-functional teams

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Design, develop, and maintain scalable and secure backend systems

• Implement core backend concepts

• Optimize backend systems for performance, scalability, and reliability

• Stay updated on current market trends

• Collaborate with frontend developers

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's degree preferred

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Design, develop, and maintain mobile applications for robotics platforms

• Collaborate with robotics engineers to understand project requirements

• Implement user-friendly interfaces and interactive features

• Integrate backend functionality

• Optimize app performance

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 2 - 4 Years

Responsibilities:

• Research, design, and implement cutting-edge computer vision algorithms and machine learning models

• Develop and optimize deep learning models for deployment on edge devices

• Collaborate with cross-functional teams to understand project requirements and design efficient solutions

• Explore and experiment with various deep learning architectures and techniques

• Collect, preprocess, and analyze image and video data

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

• Collaborative and supportive work environment

• Gain valuable experience in the field of mechanical engineering and prototyping

Education Requirements:

• Bachelor's degree in Mechanical Engineering or a related field

Experience Requirements:

• 1 - 2 Years

Responsibilities:

• Work closely with design engineers to understand product requirements and specifications

• Develop and build functional prototypes using CAD tools

• Select appropriate materials and fabrication methods for prototyping

• Utilize traditional machining and fabrication techniques to create prototype components

• Conduct basic mechanical testing of prototypes

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

Education Requirements:

• Bachelor’s degree in Mechanical Engineering or related field; Master’s degree preferred

Experience Requirements:

• 7+ Years

Responsibilities:

• Lead the design and development of mechanical systems and components from concept to production

• Conduct feasibility studies and risk assessments

• Conduct and oversee in-depth analyses of mechanical feasibility, manufacturability, and performance

• Collaborate with cross-functional teams

• Utilize CAD software

Benefits:

• Opportunities for professional development and career growth

• Collaborative and innovative work environment

• Chance to work on cutting-edge technology and make a meaningful impact

Education Requirements:

• Master's degree in Mechanical Engineering or a related field (preferred)

Experience Requirements:

• 10+ Years

Responsibilities:

• Provide strategic leadership and technical direction for the mechanical engineering team

• Lead the design, development, and implementation of complex mechanical systems

• Conduct and oversee in-depth analyses of mechanical feasibility, manufacturability, and performance

• Develop and maintain strong relationships with cross-functional teams

• Oversee the prototyping process

Benefits:

• Opportunity to work on cutting-edge data and AI projects

• Collaborative and innovative work environment

• Competitive salary and benefits package

• Professional growth and development opportunities

Education Requirements:

• Bachelor’s degree in Business Administration, Management, or a related field

Experience Requirements:

• 10+ years; hands-on

• 7+ years of experience managing IT or data platform projects, with at least 2 years focused on cloud-based data platforms like Databricks, AWS, Azure, or GCP

• 4+ years experience in data engineering, data architecture, data platforms & analytics

• At least 3+ years experience with Databricks, PySpark, Python, and SQL

Other Requirements:

• Building microservices using Java/Spring boot/OAuth,OIDC2/REST/SOAP

• Enterprise Integration (Apache Camel), Spring Integrator, Mule/TIBCO/IIB

• Working experience in messaging technology – Kafka/IBM MQueue

• Cloud environment (preferably Azure or AWS)

• Containerization (Docker) & deployment (Kubernetes)

• DevOps (Jenkins/Gitlabs/Azure DevOps etc.)

• Exposure to DBMS technology such as SQL. MongoDB (NoSQL) would be a plus

• Strong in Engineering practices (ex: TDD/BDD, Unit Testing, SONARQube, CI-CD etc., )

• (Nice to have) Strong Knowledge using Transformation Tools, like XSLT

• Consulting / customer facing experience, working with external clients across a variety of industry markets

• Comfortable writing code in both Python and SQL

• Proficiency in SQL and experience with data warehousing solutions

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Strong understanding of data modeling, ETL processes, and data architecture principles

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines

• Working knowledge of MLOps methodologies

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery – managing scope and timeline

• Experience working with clients and managing conflicts

• Good to have Databricks Certifications

• Strong communication and collaboration skills

• Ability to travel up to 30% when needed

• Familiarity with Databricks, Spark, or similar big data frameworks

• Understanding of data engineering, machine learning workflows, and cloud infrastructure

• Proven track record in managing multiple projects simultaneously, adhering to deadlines and budgets

• Strong understanding of Agile, Scrum, and Waterfall methodologies

• Experience working with data governance, analytics, or AI/ML projects

• Familiarity with Databricks features such as Delta Lake, MLflow, and Unity Catalog

• Understanding of data integration tools like Apache Airflow, Informatica, or Talend

Responsibilities:

• Design, develop, deliver and maintain shared engineering platforms, products and solutions

• Contribute to design and standards that will enable the development team to produce highly functional, sustainable, scalable and high performing solutions meeting or exceeding customer expectations

• Collaborate with business teams, other technical leaders, software engineers, architects in order to identify the right architecture and design while developing software platforms, products and solutions

• Communicate software architecture & design ideas effectively to other software engineering staff members through code and textual and pictorial documentation as needed

• Assume Ownership and Accountability of the work delivered by the Team

Benefits:

• Opportunity to work on cutting-edge data and AI projects

• Collaborative and innovative work environment

• Competitive salary and benefits package

• Professional growth and development opportunities

Experience Requirements:

• 4+ years experience in data engineering, data architecture, data platforms & analytics

• At least 3+ years experience with Databricks, PySpark, Python, and SQL

Other Requirements:

• Consulting / customer facing experience, working with external clients across a variety of industry markets

• Comfortable writing code in both Python and SQL

• Proficiency in SQL and experience with data warehousing solutions

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Strong understanding of data modeling, ETL processes, and data architecture principles

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines

• Working knowledge of MLOps methodologies

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery – managing scope and timeline

• Experience working with clients and managing conflicts

• Good to have Databricks Certifications

• Strong communication and collaboration skills

• Ability to travel up to 30% when needed

Responsibilities:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design, bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks

• Support customer operational issues with an escalated level of support

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Responsibilities:

• Code optimization for GPGPU environment

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in medical domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in robotics domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Experience Requirements:

• 1-3 years of industry experience

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Excellent programming skills, ML background and passion to excel

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Passion to build career in deep learning, computer vision domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Command over written English

Benefits:

• People First Culture

• People Friendly Guidelines

• Equal Opportunity Organization

• Better Half Program

• Health & Wellness Programs Buddy Referral Program ESOPs Comprehensive Medical Insurance for dependents including parents Tax Saving Structure Sports Clubs & Fun Committees Office Libraries Snack Pantries

Education Requirements:

• B.E or B.Tech in Computer Science or any equivalent degree

Experience Requirements:

• 2-6 years

Other Requirements:

• Strong coding skills with strong hands-on and practical working experience in MERN Stack Development.

• Strong competencies in Data Structures, algorithms and their space-time complexities.

• Good problem-solving skills, coupled with strong analytical thinking and communication.

• Excellent debugging skills.

• Ability to understand business requirements and translate them into technical requirements.

• Working knowledge of architectures, trends, and emerging technologies.

• Solid understanding of the full software development life cycle

Responsibilities:

• Develop object-oriented models and design data structures for new software projects and implement business logic and data models with a suitable class design.

• Conduct software analysis, programming, testing, and debugging, as well as recommending changes to improve the established processes.

• Recommend software solutions to emerging needs in banking functionality and report ability.

• Solve complex problems in an innovative way and deliver quality solutions while taking ownership and accountability of assigned things.

• Demonstrate good learnability and adopt technologies that help build large scale, performant, reliable and sustainable systems.

Benefits:

• People First Culture

• People Friendly Guidelines

• Equal Opportunity Organization

• Better Half Program

• Health & Wellness Programs Buddy Referral Program ESOPs Comprehensive Medical Insurance for dependents including parents Tax Saving Structure Sports Clubs & Fun Committees Office Libraries Snack Pantries

Education Requirements:

• B.E or B.Tech in Computer Science or any equivalent degree

Experience Requirements:

• 1-6 years

Other Requirements:

• You can design and architect enterprise and/or web-scale hosting platforms and can seamlessly administer application servers, web servers and databases

• You have a deep understanding of cloud, virtualization and container (Kubernetes) platforms, infrastructure automation(Terraform) and application hosting technologies

• You understand DevOps philosophy, Agile methods, Infrastructure as Code to your work and lead infrastructure and operations with these approaches

• You have a history working with server virtualisation, IaaS and PaaS cloud, Infrastructure provisioning and configuration management tools

• You can write scripts using at least one scripting language and are comfortable with building Linux and/or Windows servers systems

• Experience with continuous integration tools with different tech stacks, web or mobile

• You've previously worked with monitoring systems for stress and performance testing with Observability Pattern: Distributed Tracing/ OpenTracing, Log Aggregation, Audit Logging, Exception Tracking, Health Check API, Application MetricS, Self-Healing/Multi-Cloud

• Bonus points if you have experience with unit testing and automated testing tools

Responsibilities:

• You will launch projects through hands-on implementation, evaluate and drive improvements to existing infrastructure

• Help shape and build M2P cloud and infrastructure practice through collaboration with business development, marketing and capabilities development teams

• Ensure and build the controls and processes for continuous delivery of applications, considering all stages of the process and its automations

• Monitor and ensure that technical expectations of deliverables are consistently met on projects

• Act as a leader on DevOps, cloud and infrastructure engineering