Experience Requirements:

• 4-8 Years

Other Requirements:

• Strong Python programming skills with experience in building production-grade applications.

• Experience with data engineering tools such as Pandas, PySpark, Airflow, or similar.

• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face) and prompt development.

• Proficiency in designing and deploying APIs using frameworks like FastAPI or Flask REST Framework.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.

• Knowledge of SQL and experience with relational databases like PostgreSQL, MySQL, etc.

• Basic understanding of API security (e.g., OAuth, JWT) and scalability strategies.

• Experience with vector databases like Pinecone, Weaviate, or FAISS for LLM embeddings.

• Familiarity with MLOps tools like MLflow or Kubeflow.

• Exposure to streaming technologies such as Kafka or Spark Streaming.

• Knowledge of LLM fine-tuning techniques using frameworks like PyTorch or TensorFlow.

• Experience with monitoring tools such as Prometheus, Grafana, or Datadog.

• Strong problem-solving abilities with a proactive mindset.

• Excellent communication skills to explain technical concepts to non-technical stakeholders.

• Ability to work collaboratively in a cross-functional team.

• Passion for exploring new technologies and continuously learning.

Responsibilities:

• Build and maintain scalable data preparation pipelines using Python and relevant tools.

• Optimize data workflows to handle large datasets efficiently.

• Develop, test, and refine prompts to optimize LLM outputs for specific use cases.

• Design and deploy RESTful APIs to host LLM-based solutions.

• Collaborate with cross-functional teams to gather requirements and deliver solutions.

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• We are a five-day working company but, on some weeks, there might be tasks on Saturdays

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

Education Requirements:

• A bachelor’s or master’s degree in Business Administration (BBA), Commerce (B.Com), or Finance (M.Com) with a minimum 60% aggregate with no backlogs

Experience Requirements:

• No prior experience required

Other Requirements:

• Skill required: Record to Report / Procure to Pay / Order to Cash

• Financial Consolidation & Close Operations

• Ability to establish a strong client relationship

• Ability to handle disputes

• Ability to manage multiple stakeholders

• Ability to meet deadlines

• Ability to perform under pressure

• Please note that this role may require you to work rotational shifts (should be ready to work day & night Shifts)

Responsibilities:

• In this role, you are required to do analysis and solving of lower-complexity problems

• Your day-to-day interaction is with peers within InterviewDesk before updating supervisors

• In this role, you may have limited exposure to clients and/or InterviewDesk management

• You will be given moderate-level instruction on daily work tasks and detailed instructions on new assignments

• The decisions you make impact your own work and may impact the work of others

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• We are a five-day working company but, on some weeks, there might be tasks on Saturdays

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

Experience Requirements:

• No prior experience required

Other Requirements:

• Ability to handle disputes

• Ability to perform under pressure

• Ability to work well in a team

• Adaptable and flexible

• Written and verbal communication

• Please note that this role may require you to work in rotational shifts

Responsibilities:

• In this role you are required to solve routine problems, largely through precedent and referral to general guidelines

• Your expected interactions are within your own team and direct supervisor

• You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments

• The decisions that you make would impact your own work

• You will be an individual contributor as a part of a team, with a predetermined, focused scope of work

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 5+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with either Go or Python

• Experience designing, implementing, debugging, scaling, and optimising APIs, databases and pipelines as the traffic grows to multi-TB scale

• Experience with infrastructure-as-code solutions (e.g., Pulumi over AWS).

• Experience with monitoring tools (e.g., Grafana).

Other Requirements:

• Experience with authentication (e.g., Auth0).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of the APIs, databases and data pipelines.

• Ensure the system can scale to the growing traffic, have full observability and drive down the cost.

• Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues.

• Supporting a broader front-end, edge-computing and ML team.

Benefits:

• Flexible and remote working options.

• Enhanced pension scheme (5% employer contribution).

• 25 days of holiday plus bank holidays.

• £1,200 annual work-from-home allowance.

• Private healthcare package (Vitality).

Education Requirements:

• Degree in Business, Technology, or related discipline (or equivalent experience)

• Agile Product Owner / Product Management certification desirable

Experience Requirements:

• At least 3–5 years in a Product Management role within technology/AI/software

• Strong experience in Agile product management, including backlog and roadmap ownership

Other Requirements:

• Ability to balance innovation with practical delivery outcomes

• Strong stakeholder management and influencing skills across technical and non-technical audiences

• Analytical approach to product decisions using data, insights, and client feedback

• Passion for AI-driven innovation and the ability to spot opportunities for emerging technologies

• Applicants must have the legal right to work in the UK.

Responsibilities:

• Define and deliver product vision, strategy, and roadmap in line with business goals

• Lead discovery workshops, client research, and solution design sessions

• Identify and incorporate emerging AI capabilities into product design and roadmap

• Partner with architects and data scientists to validate new AI features and use cases

• Manage product backlog, prioritisation, and trade-offs to maximise value

Benefits:

• Flexible and remote working options

• Enhanced pension scheme (5% employer contribution)

• 25 days of holiday plus bank holidays

• £1,200 annual work-from-home allowance

• Private healthcare package (Vitality)

Education Requirements:

• Degree in Business, Sales, Marketing, or related field (desired)

Experience Requirements:

• Strategic account management experience (4 years) with proven ability and who is resilient, diplomatic and who can develop and execute comprehensive account plans and penetration strategies

• Experience with generative AI tools to enhance productivity and support team effectiveness

Other Requirements:

• Commercial awareness to identify opportunities, strong negotiation skills and not easily outmanoeuvred by demanding customers

• Relationship building skills to serve as trusted advisor, able to handle senior stakeholder relationships inside larger organisation

• Collaborative approach to work effectively with Customer Success, delivery teams, and external partners including Microsoft account teams

• Market insight to understand customer landscapes, competitive positioning, and share of wallet opportunities across ICS.AI services

• Communication excellence to facilitate meetings, presentations, and strategic discussions including Service Reviews and other client engagement meetings

• Applicants must have the legal right to work in the UK.

Responsibilities:

• Manage existing accounts within ICS.AI as single point of commercial contact for assigned customer portfolio

• Coordinate with delivery team and own the commercial relationship for change requests and new phases of existing contracts

• Develop and maintain comprehensive account plans for each account including ICS.AI product and service penetration matrices

• Work closely with the Customer Success Manager attending Service Reviews, project updates, and project boards to ensure fantastic customer experience

• Facilitate and ensure renewal are completed in a timely manner

Benefits:

• Flexible paid time off, 11 paid holidays, and flexible work schedules

• Company Contribution to Medical, Dental, and Vision Insurance

• Parental Leave: Up to 18 weeks for birthing-parents and up to 10 weeks for non-birthing new parents

• Roth and 401k plans: 100% match up to the first 4% and is immediately vested

• Professional Development Reimbursement Program

Experience Requirements:

• 3+ years of experience in a field sales, account executive, or retail leadership role, preferably within prestige beauty, professional haircare, or cosmetics

• Proven track record of achieving sales goals, executing events, and leading in-store training

• Strong business acumen with the ability to analyze reports and pivot strategies based on business needs

• Exceptional interpersonal and relationship-building skills

• Experience managing freelance or in-store staff preferred

Other Requirements:

• Must be in market 90% of the time with 40-50% overnight travel

• Must be able to travel by car or public transportation; mileage and travel expenses reimbursed per company policy

• Job requires 5 days a week in-store support with two full office days per month

• Weekends are required (including occasional Sundays and evenings to support key events and selling days) One weekend off per month

• Standing, walking, moving for a minimum of 6+ hours daily in-stores

Responsibilities:

• Execute strategic quarterly business plans to maximize sales and growth opportunities across assigned territories and retail partners

• Achieve monthly and annual sales goals established by the company

• Identify and create education, event, and activation opportunities tailored to regional business needs

• Build and maintain strong, collaborative partnerships with store leadership, district managers, regional directors, beauty advisors and stylist teams

• Serve as the Olaplex brand authority within the territory, ensuring best-in-class product knowledge, merchandising, inventory management, and in-store execution

Benefits:

• Competitive compensation package

• Unlimited PTO

• Every third Friday of the month off

• Winter break closure; the week between Christmas and New Years

• Wellness reimbursement

Experience Requirements:

• 2+ years of experience selling performance marketing solutions to large enterprise clients.

• Experience within lead generation and/or affiliate marketing preferred.

• Experience with sales automation platforms, such as Apollo.io or Instantly.ai is ideal.

• Proven track record of exceeding sales targets.

• Exceptional communication and presentation skills.

Other Requirements:

• Familiarity with performance marketing and affiliate partnership solutions and the ability to effectively communicate their value to clients.

• Self-motivated, results-driven, and passionate about driving business success.

• Understanding how AI can be harnessed to find efficiencies in the outreach pipeline.

• Manage and report pipeline progression, hitting set KPIs.

Responsibilities:

• Identify and prospect potential clients through various channels such as cold calling, networking events, and online platforms, such as LinkedIn.

• Conduct thorough needs assessments to understand clients' marketing objectives, challenges, and budgets.

• Present tailored solutions to clients that align with their business goals and demonstrate the value of our solutions.

• Cultivate strong relationships with clients and maintain communication throughout the sales process.

• Stay updated on industry trends, competitor activities, and emerging technologies in performance marketing to maintain a competitive edge.

Education Requirements:

• Bachelor’s degree, major in mechatronics, electronics, electrical, process design

Experience Requirements:

• At least 2 years working experience in PACK assembly or lithium battery industry

Other Requirements:

• Good at analyzing and solving problems, have good communication and coordination skills

• Familiar with IATF1649 quality management system

• Proficient in Office, AUTOCAD and other software

• Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation

Responsibilities:

• Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project

• Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.), proficient in PACK production process and key process control points

• Provided technical support for production, formulated standard operation instructions for each process, and solved technical problems in the production process

• In-depth technical exchanges on the production site, providing guidance for key parts and processes

Education Requirements:

• Bachelor’s degree from reputable college

Experience Requirements:

• 1–4 years of experience in Growth, Business Analysis, Consulting, Startups, or Marketing firms.

Other Requirements:

• Comfortable to work with AI tools for content creation, analysis, and experimentation

• Strong problem-solving and analytical skills with a bias for fast execution

• Strong interpersonal skills to build rapport, influence stakeholders, and manage relationships

• Demonstrated excellence outside academics (sports, arts, publications, leadership roles) with at least one standout achievement is a plus

Responsibilities:

• Identify and categorize content types (written, video, audio, visual) aligned with business objectives

• Collaborate with Sales and Product teams to define relevant, high-impact content themes

• Create clear, engaging, and channel-appropriate content

• Manage end-to-end publishing to ensure timely and optimized distribution

• Design and execute rapid marketing experiments across content formats

Experience Requirements:

• 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning

• 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.

• Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.

Other Requirements:

• Strong Machine Learning concepts

• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow

• Strong command in probability and statistics

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Experience with data preprocessing, training, and evaluation for vision or NLP tasks.

• Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).

• Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).

• Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)

• Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).

• Strong problem-solving and analytical skills

Responsibilities:

• Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows

• Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).

• Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.

• Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.

• Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.

Benefits:

• Innovative Culture

• Growth Opportunities

• Flexible Work Arrangements

Experience Requirements:

• 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies

• Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.

Other Requirements:

• Strong sourcing abilities with a knack for engaging passive candidates

• Excellent communication, stakeholder management, and negotiation skills

• Data-driven approach—comfortable analyzing recruiting performance and acting on insights

• Experience with Greenhouse ATS is a definite plus

• Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage

Responsibilities:

• Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience

• Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements

• Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants

• Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks

• Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions

Education Requirements:

• B.E./B.Tech from top-tier engineering colleges

Experience Requirements:

• 3+ years of hands-on deep learning experience with production deployments

• Proven track record of taking models from research to production

Other Requirements:

• Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch

• Experience with distributed training and large-scale model optimization

• Solid understanding of transformer architectures, attention mechanisms, and modern training techniques

• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)

• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)

• Contributions to open-source ML projects

Responsibilities:

• Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale

• Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM

• Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs

• Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy

• Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT

Experience Requirements:

• 5+ years of experience in consumer-facing frontend development

• Experienced in ReactJS, NextJS, Typescript, Firebase or similar technologies

• Knowledge of Back-End Web Development (we use Rust)

• Experience with building frontends for AI development

• Strong problem-solving skills and attention to detail

Other Requirements:

• Strong written and verbal communication skills are a must

• Ability to work independently and proactively, no handholding required

• Ability to use AI tools to 10x productivity

• Must be based out of Singapore and have work authorization

• Willing to meet in person once in two weeks

Responsibilities:

• developing user-facing features

• ensuring the technical feasibility of UI/UX designs

• optimizing applications for maximum speed and scalability

• collaborating with other team members and stakeholders to create a cohesive product

• writing clean, scalable code, conducting code reviews, and staying up-to-date with emerging technologies and industry trends

Education Requirements:

• B.E/B.Tech/B.Sc. degree in IT/CS or similar relevant field

Experience Requirements:

• Previous working experience as a MEAN Stack Developer for 0-1years

• In depth knowledge of NodeJS

• Experience on the nature of asynchronous programming and its quirks and workarounds

• Experience implementing applications using AngularJS, Angular

• Experience creating front end applications using HTML5, LESS/SASS

Other Requirements:

• Hands on experience with JavaScript Development on both client and server-side

• Experience with modern frameworks and design patterns, minimum one-year experience with MEAN Fullstack

• Strong analytical skills and problem-solving aptitude

• Attention to detail

• Knowledge of Consumer Web Development Experience for High-Traffic, Public Facing web applications

• Experience with cloud technologies also a plus

• Creating secure RESTful-based web services in XML and JSON, Javascript, JQuery

• Continuous integration (Jenkins/Hudson) and version control (SVN, Git)

Responsibilities:

• Integration of user-facing elements developed by front-end developers with server-side logic

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Implementation of security and data protection

• Integration of data storage solutions, database

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Experience Requirements:

• 5+ years hands on experience in UI technologies like JavaScript, Angular, JQuery, HTML5 & CSS3.

• Expert level knowledge of JavaScript including the latest edition(s) of JavaScript

• Hands on experience with JavaScript frameworks Angular15 or above versions

• Proficient in advanced CSS3, HTML5 and Bootstrap

• Good understanding of advanced JavaScript libraries JQuery

Other Requirements:

• Proficient understanding of code versioning tools, such as Git

• Excellent analytical/reasoning skills

Responsibilities:

• Design, develop, and deploy high-quality software solutions

• Contribute to critical application and product development projects

• Collaborate with cross-functional teams to deliver exceptional user experiences

• Participate in the entire software development lifecycle

• Ensure software meets quality standards and technical requirements

Experience Requirements:

• 4 to 6 years as a Data Analyst or in a similar role.

• SAP HANA – Proficient in querying and performance optimization. Strong experience in scripting and modeling, and proficient in HANA graphical views and scripted views

• SAP BODs – Beginner-level knowledge of ETL processes.

• Strong SQL skills with ability to write and optimize queries on large datasets.

• Advanced MS Excel (Pivot tables, complex formulas, Power Query, etc.)

Other Requirements:

• Familiarity with data visualization tools (Power BI, Tableau, or similar).

• Excellent ability to interpret data, identify trends, and provide actionable insights.

• Strong verbal and written communication for engaging with stakeholders and presenting findings.

• Ability to troubleshoot data issues, investigate root causes, and provide timely resolutions.

Responsibilities:

• Write, optimize, and execute complex SQL queries in SAP HANA and Snowflake.

• Extract, transform, and analyze large datasets to support business requirements.

• Validate and reconcile data across multiple systems to ensure accuracy and consistency.

• Respond to ad-hoc data-related questions and support requests from stakeholders.

• Provide insights and recommendations through clear reports and presentations.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6 to 8 years of experience in data architecture, data engineering, or a related field.

• Extensive experience with PLSQL and Snowflake, including designing and implementing Snowflake-based solutions.

• Sales compensation domain experience is preferred.

• Proven track record of contributing to data projects and working in complex environments.

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

Other Requirements:

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Experience Requirements:

• 5+ years of hands-on experience in data modeling, including conceptual, logical, and physical design.

• Proven experience migrating large-scale Oracle DWH environments to Databricks Lakehouse or similar platforms.

• Strong expertise in Oracle database schemas, PL/SQL, and performance tuning.

• Proficiency in Databricks, Delta Lake, Spark SQL, and DataFrame APIs.

• Experience designing models optimized for cloud platforms (preferably AWS or Azure).

Other Requirements:

• Deep knowledge of dimensional modeling techniques (Star/Snowflake).

• Familiarity with tools and practices for metadata management, data lineage, and governance.

• Strong analytical and communication skills with the ability to work collaboratively in Agile teams.

• Ability to document and communicate data model designs to both technical and non-technical stakeholders.

Responsibilities:

• Design and implement conceptual, logical, and physical data models that support business requirements and analytics needs.

• Lead the migration of data models from an on-prem Oracle Data Warehouse to Databricks on AWS or Azure cloud.

• Reverse-engineer and analyze complex Oracle schemas, PL/SQL code, and existing structures to build equivalent or improved models on the cloud.

• Collaborate with data architects and engineers to define optimal data structures in Databricks, leveraging Delta Lake and Spark.

• Optimize data models for performance, scalability, and cost-efficiency in a cloud-native environment.