AI Jobs

Benefits:

• Medical, life, and accident plans

• Periodic team offsites

• Menstrual, maternity, and paternity leave

• Pet-friendly workspaces

• Planned remote weeks

Benefits:

• Medical, life, and accident plans

• Periodic team offsites

• Menstrual, maternity, and paternity leave

• Pet-friendly workspaces

• Planned remote weeks

Benefits:

• Medical, life, and accident plans

• Periodic team offsites

• Menstrual, maternity, and paternity leave

• Pet-friendly workspaces

• Planned remote weeks

Experience Requirements:

• 5 - 8 years

Experience Requirements:

• 3 - 7 years

Experience Requirements:

• 7 - 12 years

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Experience Requirements:

• Strong programming skills with proficiency in Python and Node.js.

• Solid understanding of web scraping techniques and experience with relevant libraries and frameworks.

• Proficiency in SQL and experience working with relational databases for data storage and retrieval.

• Familiarity with version control systems, particularly Git.

• Knowledge of key-value stores, such as Redis.

Other Requirements:

• Experience with Elasticsearch or other search engines for data indexing and searching.

• Strong problem-solving skills and the ability to handle complex data extraction scenarios.

• Excellent attention to detail and the ability to ensure data accuracy and quality.

• Strong communication and collaboration skills to work effectively within a team environment.

• Familiarity with data privacy and security best practices.

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping.

Benefits:

• Competitive salary and equity options

• Health plans similar to large SaaS companies

• Flexible work arrangements

• Opportunities for learning, growth, and professional development

Education Requirements:

• Bachelor's degree in Information and Computer Technology, Cybersecurity, Networking, IT Security, Computer Engineering or related degree

Experience Requirements:

• Hands-on experience with troubleshooting and problem-solving in a fast-paced environment

• Solid understanding of TCP/IP, UDP, TLS, DNS, HTTP, DHCP, Routers, Switches, NAT, VLANs

Other Requirements:

• Understanding about IP Cameras, NVRs, Video Resolutions, ONVIF, RTSP

• Outstanding written and verbal communication skills

• Familiarity with ticketing systems such as Zendesk

• Knowledge of Linux operating systems, Virtual Machines, and APIs

• This role requires that you be on-site 5 days a week

Responsibilities:

• Triage, manage, and resolve incoming technical support cases via phone, email, and chat

• Troubleshoot issues related to the AI platform, networking, and physical security devices

• Document and track all customer interactions and technical issues in the ticketing system

• Escalate high-priority issues to the Product Engineering team

• Perform Root Cause Analysis and formal report creations

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Experience Requirements:

• 3 to 5 years of professional experience in DevOps, Site Reliability Engineering (SRE), or Cloud Operations

• 3+ years of experience with AWS, Azure, or GCP

Other Requirements:

• Strong expertise in Terraform or Ansible and AWS Carpenter

• Deep understanding of Kubernetes (deployments, services, ingress)

• Fluency in Python, Bash, or Go

• Strong Linux/Unix administration and VPC/DNS networking knowledge

• Excellent communication skills and proactive mindset toward automation

Responsibilities:

• Design, implement, and maintain automated build, test, and deployment pipelines

• Provision and manage cloud infrastructure using Terraform, CloudFormation, or Pulumi

• Manage containerized applications using Docker and orchestrate them with Kubernetes

• Implement comprehensive monitoring, logging, and alerting systems

• Integrate security best practices into the SDLC (DevSecOps)

Education Requirements:

• Bachelor's degree in any related field

Experience Requirements:

• 0-2 years of experience (in a call center or customer service role)

Other Requirements:

• Excellent communication skills with fluency in English

• Familiarity with computer systems and basic security systems

• Ability to work flexible hours, including weekends, holidays and rotating shifts

• Able to work with highly confidential information

• Strong decision making during various situations

Responsibilities:

• Real-time monitoring and assessment of security alarms and systems

• Prompt and efficient response to security incidents and alarms

• Escalation of security incidents to appropriate personnel based on severity

• Documentation of incidents including maintaining logs and incident reports

• Performing other duties as assigned by the SOC Manager

Benefits:

• Competitive salary and equity options

• Health insurance comparable to the large tech companies

• Flexible work arrangements

Education Requirements:

• Bachelor’s degree in Business, Accounting, Finance, or a related field

Experience Requirements:

• 3-5 years of experience in finance or accounting

• Accounts receivable experience with U.S. companies or customers

Other Requirements:

• Proficiency in Quickbooks and online banking platforms

• Proficiency in Google Sheets & G-Suite

• Excellent communication and strong attention to detail

• Analytical mindset with strong problem-solving abilities

• Comfortable with a flexible work schedule

Responsibilities:

• Generate, send, and manage customer invoices using QuickBooks

• Track accounts receivable, customer payments, and outstanding balances

• Follow up with customers on overdue invoices professionally

• Reconcile payments received with QuickBooks records

• Maintain accurate AR aging reports and share updates with leadership

Education Requirements:

• Bachelor’s degree in any related field

Experience Requirements:

• Overall experience: 5-8 years

Other Requirements:

• Excellent written and spoken communication skills

• Strong analytical and problem-solving skills

• Proficiency in Excel, Google Sheets, and data visualization tools (Tableau, Power BI)

• Experience in quality control or operations in international BPOs preferred

• Comfortable handling highly confidential information

Responsibilities:

• Own overall quality metrics and efficiency of the monitoring process

• Conduct deep dives into monitoring data to identify trends and anomalies

• Collaborate with the SOC team to drive changes in operational procedures

• Support operational decision-making through data-driven insights

• Conduct quarterly training sessions for operators to improve performance

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

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