AI Jobs

Education Requirements:

• Bachelor’s degree in computer science or equivalent

Experience Requirements:

• 1-2 years of relevant work experience

• Experienced as an analyst or working with an e-commerce organisation

Other Requirements:

• Knowledge of retail branding, product mapping & taxonomy metrics

• Strong knowledge of Google spreadsheet and MS Excel (Vlookup, Advance formulae)

• Must be able to prioritise and handle multiple tasks

• Excellent Verbal and written communication skills

• Good to have: any computer language background (html, css, sql, etc)

Responsibilities:

• Completing tickets by client and follow-up to get them resolved

• Onboarding customers to the portal using CRM and ensuring the quality of data

• Analysing ecommerce retailer websites to collect /gather data for business release

• Partner with other teams to develop & release UI instances according to the client demand

• Perform UAT on the UI and work with customer success team to resolve the UI issues

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 7+ years of hands-on experience in applied machine learning and data science

• 2+ years in a leadership or managerial role

• Success in adapting foundation models through fine-tuning or transfer learning

Other Requirements:

• Expertise with PEFT approaches (LoRA, prefix tuning, etc.)

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and scaling ML workloads

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Translate cutting-edge research into practical, scalable business solutions

• Design, evaluate, and improve models using robust validation strategies

• Collaborate with product, engineering, and business stakeholders

• Articulate complex ML concepts to technical and non-technical audiences

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 3+ years of hands-on experience in applied machine learning and data science

• Experience training and fine-tuning large-scale models (LLMs, transformers)

• Experience working on applied AI problems across NLP or computer vision

Other Requirements:

• Hands-on expertise with PEFT approaches such as LoRA

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and mixed precision training

Responsibilities:

• Design, evaluate, and improve models using validation strategies

• Adapt foundation models to domain-specific applications

• Collaborate with product and engineering stakeholders

• Translate research into practical, scalable solutions

• Provide technical guidance to junior scientists

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 5+ years of hands-on experience in applied machine learning and data science

• Experience in training and fine-tuning large-scale models

• Proven record of adapting foundation models through transfer learning

Other Requirements:

• Expertise in PEFT approaches and quantization-aware training

• Proficiency in Spark, Databricks, or cloud-native ML services

• Excellent communication and presentation skills

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Design, evaluate, and improve models using bias/fairness checks

• Work with product and engineering teams to deliver AI solutions

• Translate research breakthroughs into scalable production systems

• Ensure performance optimization of AI models

Experience Requirements:

• 8-10+ years of software engineering experience

• 3+ years in Senior IC roles

• In-depth knowledge of LLMs and agent frameworks (LangChain, LlamaIndex)

• Strong expertise in vector DBs (FAISS, Pinecone, Milvus)

Other Requirements:

• Proficient in Python and at least one systems language (Go, Java, or C++)

• Track record with RAG pipelines

• Strong background in system design

Responsibilities:

• Define and drive architecture for agentic AI systems

• Design frameworks for agents to autonomously analyze data

• Build scalable retrieval systems leveraging vector databases

• Design evaluation datasets and benchmarking frameworks

• Provide technical guidance and mentor engineers

Experience Requirements:

• 8+ years of experience in software engineering

• 3+ years of experience in leading small to medium-sized teams

• Expertise in scalable, distributed systems

Other Requirements:

• Knowledge of AWS, Spark, Databases, and Kubernetes

• Data-intensive application experience (ETL/ELT) is a plus

• High level of independence

Responsibilities:

• Build a reliable, scalable crawl platform for unified data

• Define and drive technical strategy and team roadmap

• Lead high-impact projects and handle ambiguous problem statements

• Own system design, architecture, and observability

• Mentor and lead engineers, fostering technical excellence

Benefits:

• Competitive salary and performance-based incentives

• Annual personal development budget

• 25 days of annual leave

• Hybrid remote work

• Access to leading industry conferences, training, and certifications

Education Requirements:

• Bachelor’s degree in Computer Science, Bioinformatics, Data Science, or a related field.

Experience Requirements:

• 0–1 years of experience in a technical, analytical, or customer-facing role (internships or research projects count).

Other Requirements:

• U.S.-based and eligible to work on federal health projects

• Security clearance eligibility is required

• Basic understanding of cloud infrastructure (AWS, Azure, or GCP)

• Interest in federated data systems or privacy-preserving technologies

Responsibilities:

• Support Senior Solutions Managers and Sales in preparing demos, presentations, and technical documentation

• Assist with solution workshops and proposal responses by gathering requirements

• Participate in customer onboarding and platform setup activities

• Configure data ingestion and harmonization pipelines (e.g., OMOP, FHIR, CDISC)

• Shadow customer meetings and deployments to gain experience with federated access

Other Requirements:

• Research and compiling data skills

• Proactive attitude

Responsibilities:

• Research, compile data and compose correspondence

• Provide admin assistant support to global central labs

• Take initiative in providing back-up support materials for manager

• Handling QC review to support labs

• Maintain database or track departmental information

Education Requirements:

• Bachelor's Degree in Science or related field

Experience Requirements:

• Minimum 2 years clinical/research industry experience

• 1 year project management/set up experience

Other Requirements:

• Strong interpersonal skills

• Computer proficiency with Microsoft Office

• Knowledge of Project Management processes

• Accuracy and attention to detail

Responsibilities:

• Manage the process of designing and launching clinical research studies

• Develop database design requirements and configuration

• Collaborate with colleagues on project timelines and issues

• Manage action/issues logs, status sheets, and timelines

• Communicate set-up activities with clients and internal customers

Benefits:

• Generous remuneration and stock units + uncapped commissions

• Education allowance up to USD$5,000 per annum

• Private health insurance allowance

• Annual fitness reimbursement

• Primary Caregiver Leave of 16 weeks

Experience Requirements:

• 5+ years of direct sales in Commercial/Enterprise SaaS in Singapore

• Executing complex sales cycles with C-Level executives

• Strong analytical skills to identify trends

• Consultative selling and closing skills

• Accurate forecasting and pipeline management

Other Requirements:

• Critical thinker with custom solution experience

• Strong team player

• Humble with growth mindset

Responsibilities:

• Position HubSpot’s platform to Commercial/Enterprise businesses

• Educate and guide prospects through the buyer’s journey

• Collaborate with marketing and local partners

• Manage pipeline of self-sourced and inbound leads

• Forecast and close new business and install base

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

Education Requirements:

• A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

• A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

Experience Requirements:

• Proven experience in machine learning engineering

• Extensive experience in Python programming and knowledge in machine learning and statistics

• Demonstrated proficiency working with clinical trial data in an academic or professional setting

• Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch

• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices

Other Requirements:

• Ability to work both autonomously and collaboratively on complex projects

• Academic or industry experience in the biomedical sciences especially in respiratory diseases

• Prior experience working in clinical trials

• Experience with real world evidence

• Expertise developing machine learning models within the PyTorch framework

Responsibilities:

• Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.

• Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.

• Connect and collaborate with subject matter experts in biology, genomics, and medicine.

• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.

• Develop and embed automated processes for predictive model validation, deployment, and implementation.

Experience Requirements:

• Freshers can also apply

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Experience Requirements:

• Experience working in a development environment and across a range of skillsets

• Node.js and ReactJS

• MongoDB and SQL Database Systems (MySQL, Postgres)

• No-SQL (GraphQL, DynamoDB)

• Cloud architecture, specifically AWS (S3, EC2) and Azure

Other Requirements:

• Experience with Agile, Scrum methodology in DevOps environment

• Experience with Micro Services with containerisation hosted on AWS

• Git version control

Responsibilities:

• Working on Frontend and/or Backend using modern micro-service applications

• Building the stack that hosts our AI models

Benefits:

• Commission

Education Requirements:

• Bachelor's degree or equivalent work experience

Experience Requirements:

• 3 years of outside sales experience

• 3 years of Restaurant Operations/Management experience

• 1-year Broadline Food Distributor sales experience

• Experience opening new markets in the hospitality industry

• Previous hardware and SaaS software experience preferred

Other Requirements:

• Ability to lift 20 lbs

• Strong computer skills with Salesforce and Salesloft

• Ability to function in a fast-paced startup environment

Responsibilities:

• Own the full sales cycle for SMB hospitality accounts

• Qualify and prioritize leads using BANT methodology

• Conduct consultative sales conversations and tailor value propositions

• Deliver engaging product demos remotely and in-person

• Manage pipeline, activity, and forecasting in Salesforce

Education Requirements:

• Bachelor's degree in a mechatronics-related engineering field or equivalent practical experience.

Experience Requirements:

• 3 years of hands-on experience with mechatronic systems, ideally within the automation industry.

• Some experience with the commissioning, troubleshooting, and programming of robots.

• A proven track record of managing and coordinating hardware bring-up projects and/or managing a lab environment.

Other Requirements:

• Experience with designing electrical and pneumatic schematics.

• Ability to assemble electrical panels.

• In-depth knowledge of robotic safety systems and standards.

• Experience with PLC programming and commissioning.

• Professional work experience with Python and/or C++.

Responsibilities:

• Conceptualize, design, and build complex robotic automation systems for platform testing and demonstration.

• Maintain the lab's critical infrastructure, including industrial and mobile robots.

• Collaborate closely with the global lab infrastructure team to establish and maintain best practices.

• Provide essential feedback to software developers and researchers for the continuous improvement of the platform.

• Source and integrate the latest technologies into automation workcells.

Education Requirements:

• Bachelor’s degree in Computer Science or equivalent practical experience.

Experience Requirements:

• 2-3 years of experience in software development with a focus on infrastructure, SRE, or DevOps.

• Experience with one of Go, Python, or C++.

• Experience building or working with logging, monitoring, and alerting tooling.

• Experience with public cloud platforms and Kubernetes.

Other Requirements:

• Experience with specific monitoring and visualization tools (e.g., Prometheus, Grafana).

• Experience defining Service Level Objectives (SLOs) and Service Level Indicators (SLIs).

• Experience working with Infrastructure as Code tools (e.g., Terraform, CloudFormation).

• Startup experience building from 0 to 1.

Responsibilities:

• Design and build scalable operations infrastructure, covering monitoring, alerting, and data visualization tools.

• Ensure the reliability of the cloud platform by creating tools for proactive incident detection.

• Collaborate with infrastructure teams to design and prototype new architecture.

• Define technical requirements for engineering teams to standardize metrics collection.

Education Requirements:

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.

Experience Requirements:

• 1-3 years of experience in AI, machine learning, computer vision, or robotics.

• Strong focus on deep learning, including transformer based models.

• Demonstrated experience with deploying deep learning models in production.

• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).

• Strong programming skills in Python and C++.

Other Requirements:

• Expertise in transformer-based deep learning architectures for computer vision and robotics.

• Experience with optimizing or quantizing ML models for deployment.

• Experience developing algorithms for robotic perception, grasping and/or manipulation.

• Proficiency in CUDA for high-performance computing.

Responsibilities:

• Develop and implement robust deep learning models for 3D computer vision tasks.

• Optimize and deploy algorithms for reliable grasping and manipulation.

• Translate advanced deep learning research and models into production-ready solutions.

• Enhance robot perception capabilities for dynamic manufacturing settings.

• Contribute to the design and implementation of core perception software skills.

Benefits:

• Flexible work environment

• Growth & Impact

• Innovative AI Platform

• Collaborative Culture

Education Requirements:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business)

• Master's degree (MBA or M.S.) or professional certification is a plus

Experience Requirements:

• 7-15 Years

• 7 - 10 years of experience in program or project management

• Minimum of 3 years focused on delivering technology solutions to BFSI clients

Other Requirements:

• Understanding of SaaS/PaaS delivery models

• Understanding of regulatory frameworks in BFSI sector

Responsibilities:

• Lead Program Delivery for large-scale PaaS implementation

• Act as the primary point of contact for client leadership

• Ensure Compliance & Quality with BFSI standards

• Coordinate Cross-Functional Excellence

• Manage Performance & Risk

Benefits:

• Learning & Upskilling reimbursement (up to ₹12,000/year)

• Wellness & Leisure Allowance (₹24,000/year)

• Comprehensive Health and Accident Insurance

• Weekly Friday Treats (snacks)

• Quarterly Team Outings

Education Requirements:

• Bachelor’s degree (in any discipline)

Experience Requirements:

• 1-2 year of experience in an SDR, lead generation, or inside sales role (preferred but not mandatory)

Other Requirements:

• High motivation to build a career in tech sales

• Excellent verbal and written communication skills

• Confidence in reaching out via email, LinkedIn, and phone calls

• Strong research skills and a problem-solving mindset

• Familiarity with CRM tools like HubSpot or Salesforce is appreciated

Responsibilities:

• Research and identify new business opportunities through online research and campaigns

• Convert and qualify marketing-generated inbound leads into sales-ready opportunities

• Perform client needs analysis and tailor outreach messaging

• Build meaningful relationships with prospects for handoff to the Sales team

• Maintain and nurture a healthy sales funnel and re-engage dormant leads

Benefits:

• Learning & Upskilling reimbursement

• Weekly Friday Treats

• Friday Fun & Wellness sessions

• Quarterly Team Outings

Other Requirements:

• Strong analytical and problem-solving skills

• Familiarity with statistical techniques

• Experience analyzing structured/unstructured data

• Basic knowledge of data visualization tools (Excel, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Explore and analyze large conversational datasets to identify patterns

• Perform correlation and statistical analysis to uncover insights

• Assist in the development of data labs reports with recommendations

• Collaborate with cross-functional teams to interpret analytical results

• Support data visualization efforts and create presentations for stakeholders