AI Jobs

Benefits:

• Company equity grants

• Employer-covered health, vision, and dental insurance

• 401k matching

• 20 days of PTO allowance per year

• 10 annual holidays

Education Requirements:

• Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

• 4+ years of experience in applied data science or machine learning

• Strong Python and SQL skills

• Experience developing and evaluating supervised ML models

• Practical experience with experimentation and statistical reasoning

• Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

• Demonstrated ability to independently frame problems

• Strong communication skills across technical and business audiences

• Experience in telecom, subscription, pricing, or churn analytics

• Exposure to contextual bandits or policy optimization

• Familiarity with AI agents

Responsibilities:

• Translate business asks into modeling tasks and evaluation frameworks

• Develop predictive models and decision logic

• Design and analyze A/B tests or staged rollouts

• Specify model inputs, outputs, and logging for monitoring

• Communicate findings and tradeoffs to stakeholders

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• Pick up & drop facility available (30Km in and around)

• Opportunity to learn from top industry leaders

Education Requirements:

• Bachelor’s or master’s degree in BBA, B.Com, or M.Com

• Minimum 60% aggregate with no backlogs

Experience Requirements:

• Fresher

Other Requirements:

• Skill in Record to Report / Procure to Pay / Order to Cash

• Financial Consolidation & Close Operations knowledge

• Ability to work rotational shifts (day & night)

• Ability to handle disputes and perform under pressure

Responsibilities:

• Analysis and solving of lower-complexity problems

• Day-to-day interaction with peers before updating supervisors

• Individual contributor as a part of a team

• Maintain financial integrity and optimize processes

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• Pick up & drop facility available (30Km in and around)

• Opportunity to learn from top industry leaders

Experience Requirements:

• Fresher

Other Requirements:

• Ability to handle disputes

• Ability to perform under pressure

• Adaptable and flexible

• Excellent written and verbal communication

• Ability to work in rotational shifts

Responsibilities:

• Solve routine problems through precedent and referral

• Handle customer queries and enhance satisfaction

• Manage interaction with current and potential customers

• Maintain robust common integration framework

• Individual contributor as a part of a team

Experience Requirements:

• Experience in trajectory prediction-related algorithms (such as Graph Neural Network, Transformer, Deep Reinforcement Learning, etc.) is preferred.

Other Requirements:

• Possess good programming skills, proficient in C++/Python, and familiar with the Linux development environment.

• Have good ability to read and understand English literature, strong learning ability and a strong desire for knowledge.

• Have good sense of teamwork, communication skills, coordination ability and summary ability.

• Able to work under pressure.

Responsibilities:

• Design, develop, debug and conduct real-vehicle verification of autonomous driving prediction or planning algorithms based on learning methods.

• Design evaluation schemes and conduct tests for prediction or planning algorithms.

• Work closely with the perception module to complete the development and debugging of the system.

Education Requirements:

• Major in computer science, automation, mathematics, automotive engineering or other related fields.

Experience Requirements:

• Experience in optimal matching of lanes, traffic lights, etc.

• Experience with multi-frame smoothing and optimization algorithms for reference lines.

• Knowledge background in NN models for local map road topology generation such as MapTr is a plus.

Other Requirements:

• Foundation in computational graphics and 3D set element processing.

• Familiar with optimal road network matching algorithms (KM, VF2, PDA).

• Proficient in C++.

• Familiar with various optimization algorithms and algorithm libraries (Eigen, OSQP).

• Able to model and reason about complex environments.

Responsibilities:

• Generate and track reference lines and lane topologies based on lane line perception, semantic maps, and traffic flow clustering.

• Understand and infer the regulatory boundaries of the road environment and realize drivable area reasoning.

• Design and develop a matching and fusion framework based on real-time perception and prior semantic maps.

• Identify occluded areas and calculate risk speed limits.

• Perform fusion matching and recognition of lane types, and matching between traffic lights and lanes.

Experience Requirements:

• Experience in vehicle-side mapping, online map post-processing, or crowdsourced mapping is preferred.

• Familiarity with automotive sensors (cameras, radar, GNSS, IMU, wheel speed sensors).

Other Requirements:

• Familiar with semantic SLAM frameworks, online mapping algorithms, and backend optimization.

• Knowledge of ICP, particle filtering, nonlinear optimization, Kalman filters, or multi-sensor fusion.

• Proficient in C++.

• Scripting skills for rapid prototyping.

• Strong problem-solving, communication, and teamwork skills.

Responsibilities:

• Track and maintain geometric and semantic information for local static objects in mass-production projects.

• Ensure absolute and relative accuracy of maps under diverse driving conditions.

• Design, implement, and maintain vehicle-side memory mapping algorithms.

• Achieve semantic localization using prior maps.

Education Requirements:

• Master’s degree or higher (Ph.D. preferred) in AI, computer science, automation, mathematics, or related fields.

Experience Requirements:

• Knowledge of Diffusion Models, NeRF, 3D Gaussian Splatting is preferred.

• Publications in top conferences are a plus.

• ACM competition experience is a plus.

Other Requirements:

• Strong foundation in data structures and algorithms.

• Proficient in Python/C++ and frameworks like PyTorch/TensorFlow.

• Excellent English and mathematical skills.

• Strong coding ability.

Responsibilities:

• Research generative models in autonomous driving, publish top-tier papers, and file patents.

• Promote the application of generative models in autonomous driving.

Education Requirements:

• Bachelor's, Master's in Computer Science or equivalent experience

Experience Requirements:

• 2+ Years of job-related experience

Other Requirements:

• Proficiency within C++ or Python

• Basic DevOps skills

• Good experience in MongoDB, Cassandra, Kafka

• Broad experience in overall system design and implementation

• Ability to design scalable systems

• An understanding of domain modeling and fluent interface

• Experience applying design patterns in concurrency scenarios

• Familiarity with Web technologies (HTML, CSS, DOM, JavaScript, and SVG)

• Proven experience in designing persistence and caching models using both SQL and NoSQL

Responsibilities:

• Design, build, and maintain data infrastructure for both production and internal research

• Design platform and tools to facilitate research

• Administer and maintain computing cluster

• Maintain production job scheduler

• Setup and Maintain authentication systems for API's

Education Requirements:

• MS/BS in EE or CS

Experience Requirements:

• 5+ yrs developer experience required

• Required MatLab/Octave: 5 years

Other Requirements:

• Extensive C or C++ programming experience in real-time embedded systems required

• MatLab or GNU Octave DSP Algorithm development and simulation experience

• In-depth knowledge and development experience with wireless communication protocols

• Strong analysis, design and debug skills

• Ability to work independently, meet project deadlines and document work

Responsibilities:

• Design, Analyze and Develop Wireless systems

• Design wireless algorithms for wireless sensing, denoising for various real-world scenarios.

• Test and optimize the algorithms to meet real-time and performance requirements.

• Integrate sub-systems and test functionality at the system level along with other ML/AI algorithms.

• Measure and optimize to meet system-level performance and operational requirements

Education Requirements:

• Bachelors Degree in Computer Science or related field required

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting

• Minimum 2 years experience designing and implementing machine learning solutions

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++

• Strong knowledge and understanding of machine learning pipelines

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc

• Deep learning frameworks such as PyTorch TensorFlow

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc.

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall

Experience Requirements:

• 2-6 years

• Minimum 2 years needed

• At a minimum of 2 years of hands-on experience in Python and Javascript

Other Requirements:

• Proficiency in Python

• Familiarity with MySQL, Redis and MongoDB

• Strong organizational and project management skills

• Excellent verbal communication skills

• Good problem-solving skills

Responsibilities:

• Designing and developing APIs

• Develop scalable systems using Python with Flask / Django

• Apply best coding practices, review peer code, maintain repositories on GIT

• Create test cases for API and module level testing

• Deploy production-grade apps/services on cloud-based environments

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Benefits:

• Diversity and inclusion values

Education Requirements:

• Engineering degree in computer science or equivalent

Experience Requirements:

• 3+ years experience

• 4-6 years overall software engineering

• Deep experience with React-Native

• Responsive design

• RESTful API integration

Other Requirements:

• US citizenship/visa not required

• Java skills

• TypeScript skills

• LLM based operations knowledge

Responsibilities:

• Participate in entire lifecycle

• Build web/mobile interfaces

• Collaborate with UX designers

• Debug backend codebases

• Write scalable code

Benefits:

• Diversity and inclusion values

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering

Experience Requirements:

• 3+ years experience

• 4+ years proven data analysis experience

• Knowledge of data warehousing

• SQL and Python proficiency

• ELT/ETL tool experience

Other Requirements:

• US citizenship/visa not required

• BigQuery skills

• SQL skills

Responsibilities:

• Maintain scalable data pipelines

• Collaborate with platforms teams

• Implement data governance

• Manage data warehouse

• Develop dashboards

Experience Requirements:

• 6+ years of experience in IT administration or IT operations

• Prior experience as an IT Manager or Senior IT Administrator

• Experience supporting 50–300 employee environments

Other Requirements:

• Google Workspace

• SaaS administration and access management

• Endpoint management / MDM tools

• Office networking and on-site support

Responsibilities:

• Own day-to-day IT operations for the Bangalore office

• Handle employee onboarding and offboarding

• Administer internal SaaS tools

• Own identity and access management

• Act as the primary on-site IT support and escalation point

Education Requirements:

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

Experience Requirements:

• Proven experience as a DevOps or SRE Engineer

• Strong proficiency in scripting languages (e.g. Python, Bash)

• Experience with cloud platforms (AWS, Azure, GCP)

• Hands-on experience with infrastructure as code (IaC) tools like Terraform

Other Requirements:

• Familiarity with cloud-native technologies (Docker, Kubernetes)

• Experience managing multi-architecture deployments

• Entrepreneurial & start-up mindset

Responsibilities:

• Design, implement, and maintain CI/CD pipelines

• Develop and manage infrastructure as code (IaC) using Terraform

• Implement and manage containerization and orchestration tools

• Monitor and optimize system performance

• Collaborate with security teams to ensure infrastructure meets security best practices

Benefits:

• A competitive salary and benefits package

• Opportunity to collaborate with leading experts in AI

• Environment that values innovation and collaboration

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 8+ years of experience in systems/software engineering

• Experience in delivering PaaS services

• Proven experience optimizing and scaling deep learning runtimes

• Strong programming skills in Python and C++

• Start up previous experience

Other Requirements:

• Familiarity with distributed training frameworks

• Experience working with multi-GPU, multi-node, or cloud-native AI workloads

• Solid understanding of containerized workloads

Responsibilities:

• Own the core runtime architecture supporting AI training and inference at scale

• Design resilient and elastic runtime features within a custom PyTorch stack

• Profile and enhance low-level system performance

• Design and maintain libraries and services that support model lifecycle

• Guide technical discussions and mentor junior engineers

Experience Requirements:

• 8–12+ years of backend or infrastructure engineering experience

• Expert-level proficiency in Golang

• Strong experience building production-grade distributed systems

• Proven track record working on infrastructure platforms, PaaS, or deep-tech systems

Other Requirements:

• Deep understanding of cloud-native architectures

• Strong experience with Kubernetes, Docker, and cluster orchestration systems

• Experience with scalable distributed databases

• Startup-minded builder comfortable with ambiguity

Responsibilities:

• Architect and develop high-performance backend services in Golang

• Design backend systems for distributed AI workloads and orchestration

• Build internal platform APIs for model deployment and job scheduling

• Design and scale microservices and event-driven architectures

• Lead architecture reviews and set backend engineering standards