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AryaXAI

<div>
 AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.
 
 
 Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.
 
 
 As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You'll work on advanced problems related to AI explainability, AI safety, and AI alignment.
 </li>
 <li>
 You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
 </li>
 <li>
 Create new techniques around ML Observability &amp; Alignment.
 </li>
 <li>
 Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
 </li>
 <li>
 Create and maintain technical and product documentation.
 </li>
 <li>
 Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning.
 </li>
 <li>
 Master or Ph.D in key engineering topics like computer science or Mathematics is required
 </li>
 <li>
 Should have published peer-reviewed papers or contributed to opensource tools
 </li>
 <li>
 Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc
 </li>
 <li>
 Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc
 </li>
 <li>
 Comfortable deploying code in cloud environments/on-premise environments.
 </li>
 <li>
 Good fundamentals in MLOps and productionising ML models.
 </li>
 <li>
 Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc.
 </li>
 <li>
 2+ years of hands-on experience in Deep Learning or Machine Learning.
 </li>
 <li>
 Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.
 </li>
 </ul>
</div>

AI Research Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA -Gen AI - Senior

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

<div>
 
 
 About the Role:
 
 
 
 We&rsquo;re hiring a
 
 Business Analyst
 
 to manage and mentor a team of analysts creating business-focused content to improve AI models. You&rsquo;ll combine leadership, quality oversight, and subject expertise in MBA-relevant domains to ensure outputs are accurate, logically sound, and aligned with project goals. This role is ideal for someone who enjoys people management, operational excellence, and shaping high-quality analytical content.
 
 No prior AI experience is required for this role.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Lead and mentor a team of Business Analysts/Content Specialists.
 </li>
 <li>
 Allocate tasks, oversee workflows, and ensure timely, high-quality delivery.
 </li>
 <li>
 Conduct QA reviews, refine processes, and improve team efficiency.
 </li>
 <li>
 Provide performance feedback, training, and career development.
 </li>
 <li>
 Act as the primary stakeholder contact, sharing regular project updates.
 </li>
 <li>
 Guide creation of case studies, scenarios, and structured business content (finance, policy, e-commerce, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2+ years of team management experience.
 </li>
 <li>
 3&ndash;6 years in business analysis, consulting, content, or domain-focused projects.
 </li>
 <li>
 Strong analytical, logical, and communication skills.
 </li>
 <li>
 Proficiency in structured file formats (TSV, JSON, HTML, XML, Markdown).
 </li>
 <li>
 
 No prior AI experience is required
 
 </li>
 <li>
 Bonus: prior work on LLM performance data, case study writing, or academic/research content.
 </li>
 <li>
 Full-time commitment (40 hrs/week); immediate joiners preferred.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
</div>

Remote Business Analyst - 45430

<div>
 
 
 Role Overview:
 
 
 
 We are seeking
 
 detail-oriented professionals
 
 with hands-on experience in
 
 customer service operations, e-commerce, or operations management
 
 . In this role, you&rsquo;ll help build workflows, datasets, and simulations that power the benchmarking of
 
 large language models (LLMs)
 
 .
 
 
 Your work will focus on
 
 recreating real-world support scenarios
 
 , validating AI-generated outputs, and ensuring compliance, trust, and customer experience standards.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Recreate workflows for
 
 ticket handling, chat/email support, refunds/returns, and knowledge base management
 
 .
 </li>
 <li>
 Validate
 
 AI-generated outputs
 
 in customer support scenarios to ensure accuracy, compliance, and trustworthiness.
 </li>
 <li>
 Simulate
 
 escalations, SLA tracking, and quality audits
 
 within support workflows.
 </li>
 <li>
 Provide
 
 structured annotations and datasets
 
 to improve LLM training and evaluation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Proven experience in
 
 customer service operations
 
 (ticket handling, chat/email workflows, refunds/returns, knowledge base upkeep).
 </li>
 <li>
 Familiarity with workflow tools (e.g., Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, Jira, or equivalents).
 </li>
 <li>
 Strong
 
 attention to detail
 
 and ability to spot weaknesses in AI-generated workflows.
 </li>
 <li>
 Understanding of how
 
 operational data
 
 is used to train and evaluate LLMs.
 </li>
 <li>
 Excellent written English for creating
 
 training-quality datasets
 
 and validating AI outputs.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing:
 
 
 <ul>
 <li>
 
 Remote-first and flexible
 
 work environment.
 </li>
 <li>
 Opportunity to work on
 
 cutting-edge AI projects
 
 with leading LLM companies.
 </li>
 <li>
 Potential for
 
 contract extension
 
 based on performance and project needs.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitment:
 
 Minimum 30 hours/week (at least 4 hours/day, with 4 hours overlapping PST).
 </li>
 <li>
 
 Engagement Type:
 
 Contractor / Freelancer (no medical or paid leave).
 </li>
 <li>
 
 Duration:
 
 1 month (possible extension).
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading
 
 research accelerator
 
 for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into
 
 proprietary intelligence
 
 with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
</div>

Customer Service Operator - 45024

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 
 The team
 
 
 
 
 
 
 
 As a member of the Operations Transformations team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals.
 
 
 We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change.
 
 
 
 
 
 
 Your work profile
 
 
 
 
 
 
 
 Job Title
 
 : Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Total Experience
 
 : Minimum 5 years
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ol>
 <li>
 B Tech/B.E. in Computer Science with Data Analytics/ AI, M.Sc. Data science
 </li>
 <li>
 Minimum experience of 5 Years in handling data science related projects
 </li>
 <li>
 Experience in using data science tools to simplify data wrangling, statistical modeling, and visualization tasks Technical experience in various aspects of data science - a creative problem solver with a strong skill in design and problem formulation; data curation; data acquisition, cleaning, and management; data interpretation, analysis; and the presentation and communication of results in an engaging and reproducible manner. Technical knowledge of one or more domains of development data such as economic statistics, demographic data, gender and social statistics, or other topics would be an advantage
 </li>
 <li>
 Technical knowledge of one or more distinct data sources and associated methods such as household surveys, administrative systems, geographic information systems, satellite imagery and other sensor data, &ldquo;big data&rdquo;, would be an advantage.
 </li>
 <li>
 Excellent working knowledge of modern statistics, scripting, and programming languages such as R/python/SPSS/power BI and SAS VIYA and associated software libraries is a must. They must have written and verbal communication skills
 </li>
 </ol>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our
 
 Global Impact Report
 
 and our
 
 India Impact Report
 
 .
 
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about
 
 Deloitte and our One Young World partnership.
 
 
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities.
 
 Know more about everyday steps that you can take to be more inclusive.
 
 At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about
 
 Life at Deloitte.
 
 
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 
 
 
 Interview tips
 
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to.
 
 Check out recruiting tips from Deloitte professionals.
 
 
 
 
</div>

Data Scientist

Trinka.ai

<div>
 
 
 Crimson Enago flagship products
 
 
 
 
 
 
 At Crimson Enago we are laser-focused on building AI-powered tools and services that significantly boost the productivity of researchers and professionals. Every researcher or professional goes through the stages of knowledge discovery, knowledge acquisition, knowledge creation, and knowledge dissemination. However, each stage is cognitively heavy and is tightly coupled. In this direction, we have our flagship products Trinka hat focus on making all these four stages easy and fast.
 
 
 
 
 
 
 About Trinka
 
 
 
 Trinka (www.trinka.ai) is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. Built by linguists, scientists, and language lovers, Trinka finds and corrects thousands of complex writing errors &mdash; so you don&rsquo;t have to. Trinka corrects contextual spelling mistakes, and advanced grammar errors, enhances vocabulary usage, and provides writing suggestions in real-time. Trinka goes beyond grammar to help professionals and academics ensure professional, concise, and engaging writing. With subject-specific correction, Trinka understands the nuances in the expression of each subject and ensures the writing is fit for the subject. Trinka's Enterprise solutions come with unlimited access and great customization options to all of Trinka&rsquo;s powerful capabilities.
 
 
 
 
 
 
 About the team
 
 
 
 We are a bunch of passionate researchers, engineers, and designers who came together to build a product that can revolutionize the way any research-intensive projects are done. Reducing cognitive load and helping people to convert information into knowledge, is at the core of our mission. Our engineering team is building a scalable platform that deals with tons of data, AI processing over the data, and interactions of users from across the globe. We believe research plays a key role in making the world a better place, and we want to make it easy to approach and fun to do!
 
 
 
 
 
 
 
 
 
 Role overview
 
 
 
 
 
 
 We are seeking an Product Manager with
 
 3 to 6 years of user-experience-driven product management experience
 
 (preferably B2C productivity SaaS). You will be working very closely with other product managers, product designers, user behavior researchers, marketers, and engineers to ensure the successful delivery of projects and
 
 
 
 pragmatic
 
 (re-)designing of the product roadmap in an agile, iterative way.
 
 
 
 
 
 
 The person that we are looking for will
 
 
 <ol>
 <li>
 You will help product managers formulate Enago One&rsquo;s
 
 long-term product vision, goals, metrics, and strategy
 
 .
 </li>
 <li>
 You will assist product managers translate that strategy into concrete plans and objectives over the short- and medium-term.
 </li>
 <li>
 You will analyze data and user behaviors and enable product managers to
 
 prioritize projects
 
 .
 </li>
 <li>
 You will work closely with our AI/ML research team to ensure we are using the right metrics to inform our product roadmap and measure success.
 </li>
 <li>
 You are very well acquainted with best practices around project deployment
 </li>
 </ol>
 
 
 
 
 
 Experience
 
 
 <ol>
 <li>
 You have 3
 
 + years of product management experience
 
 (preferably productivity SaaS products) with a strong track record of shipping user-facing products that users love.
 </li>
 <li>
 You have strong expertise using both quantitative data (e.g., metrics, analytics) and qualitative data (e.g., user feedback, usability research, user behavior research) to inform product prioritization. You can analyze data yourself by writing SQL queries and using data analysis tools.
 </li>
 <li>
 You have been part of diverse and inclusive product teams.
 </li>
 <li>
 You have experience in the best practices around product management and project management.
 </li>
 <li>
 You consider
 
 testing, monitoring, and observability first-order priorities
 
 .
 
 Until shipping achieves the minimum success criteria you expect, you know your work isn't complete
 
 .
 </li>
 <li>
 You have
 
 worked on high-impact projects
 
 , and you see product management as a team sport and like collaborating with fellow product managers, and others to deliver customer value. You are energized by working in a highly collaborative environment at a user experience-obsessed startup.
 </li>
 <li>
 You are a Root Cause Analysis (RCA) freak.
 </li>
 <li>
 **
 
 Added advantage
 
 **:
 </li>
 <li>
 You either have a Ph.D. from a reputed university or have worked very closely with reputed research groups for
 
 1+ year
 
 .
 </li>
 <li>
 You have
 
 1+ years of experience
 
 in STEM (science, technology, engineering, and mathematics) industry (eg. publication houses, edtech/research tech)
 </li>
 </ol>
 
 
</div>

Product Manager

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