data analyst

business analyst

associate director

product analyst

account executive

ai agent evaluation analyst

Mindrift

<div>
 
 
 This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
 
 
 
 
 At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.
 
 
 
 What We Do
 
 
 
 The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe.
 
 
 
 Who we're looking for:
 
 
 
 We're looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil's advocate.
 
 
 Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?
 
 
 This is a
 
 flexible, project-based opportunity
 
 well-suited for:
 
 
 <ul>
 <li>
 Analysts, researchers, or consultants with strong critical thinking skills
 </li>
 <li>
 Students (senior undergrads / grad students) looking for an intellectually interesting gig
 </li>
 <li>
 People open to a part-time and non-permanent opportunity
 
 
 </li>
 </ul>
 
 About the project:
 
 
 
 We're on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you'll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.
 
 
 You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you've ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking &mdash; you might be a great fit.
 
 
 What you'll be doing:
 
 
 <ul>
 <li>
 Reviewing evaluation tasks and scenarios for logic, completeness, and realism
 </li>
 <li>
 Identifying inconsistencies, missing assumptions, or unclear decision points
 </li>
 <li>
 Helping define clear expected behaviors (gold standards) for AI agents
 </li>
 <li>
 Annotating cause-effect relationships, reasoning paths, and plausible alternatives
 </li>
 <li>
 Thinking through complex systems and policies as a human would to ensure agents are tested properly
 </li>
 <li>
 Working closely with QA, writers, or developers to suggest refinements or edge case coverage
 
 
 </li>
 </ul>
 
 How to get started:
 
 
 
 Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Excellent analytical thinking: Can reason about complex systems, scenarios, and logical implications
 </li>
 <li>
 Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements
 </li>
 <li>
 Familiarity with structured data formats: Can read, not necessarily write JSON/YAML
 </li>
 <li>
 Ability to assess scenarios holistically: What's missing, what's unrealistic, what might break?
 </li>
 <li>
 Good communication and clear writing (in English) to document your findings.
 
 
 </li>
 </ul>
 We also value applicants who have:
 
 
 <ul>
 <li>
 Experience with policy evaluation, logic puzzles, case studies, or structured scenario design
 </li>
 <li>
 Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research
 </li>
 <li>
 Exposure to LLMs, prompt engineering, or AI-generated content
 </li>
 <li>
 Familiarity with QA or test-case thinking (edge cases, failure modes, "what could go wrong")
 </li>
 <li>
 Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs
 </li>
 <li>
 Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments
 </li>
 <li>
 Participate in an advanced AI project and gain valuable experience to enhance your portfolio
 </li>
 <li>
 Influence how future AI models understand and communicate in your field of expertise
 </li>
 </ul>
</div>

AI Agent Evaluation Analyst

Tiger Analytics

<div>
 
 
 Job Title: Data Scientist/Lead Data Scientist
 
 
 
 
 Locations: Chennai | Hyderabad | Bangalore
 
 
 
 
 NP : Immediate Joiner - 15 Days
 
 
 
 
 Skills :
 
 Python , Data Science , ML Model building, GCP, Azure, AWS
 
 
 
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester,
 
 
 Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo;
 
 
 analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist/Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. You will lead and contribute to projects involving the development, deployment, and monitoring of ML/AI models in GCP environment across industries. The role demands a balanced mix of technical expertise, stakeholder management, and leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
  Lead and contribute to developing sophisticated machine learning models, predictive analytics, and
 
 
 statistical analyses to solve complex business problems.
 
 
  Demonstrate proficiency in programming languages such as Python, with the ability to write clean,
 
 
 efficient, and maintainable code.
 
 
  Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,
 
 
 and derive actionable insights that lead to impactful outcomes.
 
 
  Take ownership of end-to-end model development&mdash;from problem definition and data exploration
 
 
 to model training, validation, deployment, and monitoring&mdash;delivering scalable solutions in real-
 
 
 world settings.
 
 
  Work closely with clients to understand their business objectives, identify opportunities for
 
 
 analytics-driven solutions, and communicate findings clearly and promptly.
 
 
  Collaborate with cross-functional teams, including data engineers, software developers, and
 
 
 business stakeholders, to integrate machine learning solutions into business processes, with an
 
 
 emphasis on production-grade deployment.
 
 
  Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI
 
 
 Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and
 
 
 streamline production deployment.
 
 
  Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and
 
 
 Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud
 
 
 Monitoring, and Logging.
 
 
 
 
 
 
 What do we expect?
 
 
 
 ● 4&ndash;10 year&rsquo;s experience in data science and ML model development
 
 
 ● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.
 
 
 ● Solid understanding of regression, classification, and statistical methods
 
 
 ● Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using
 
 
 TensorBoard)
 
 
 ● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud
 
 
 Composer (Apache Airflow)
 
 
 ● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD
 
 
 pipelines (GitHub Actions, Cloud Build)
 
 
 ● Experience with monitoring and maintaining ML models in production, using Vertex AI Model
 
 
 Monitoring and related GCP tools
 
 
 
 
 
 
 Good to Have
 
 
 
 ● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and
 
 
 Google Agent Development Kit (ADK)
 
 
 ● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such
 
 
 as Discovery Engine SDK, Reasoning Engine SDK, and GKE
 
 
 
 
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.
 
 
 
</div>

Data 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

Glean

<div>
 
 About Glean
 
 
 
 Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company&rsquo;s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.
 
 
 Glean was born from Founder &amp; CEO Arvind Jain&rsquo;s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.
 
 
 
 About The Role
 
 
 
 Glean is looking for creative engineers to own and launch delightful user-facing features from inception to implementation, experimentation, launch, and continuous iteration. This is a high agency role that requires working with both frontend and backend codebases, in collaboration with product designers and fellow engineers, to build best-in-class experiences.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Build delightful user interfaces with Typescript and React.js
 </li>
 <li>
 Architect and implement RESTful APIs in Go, Java and/or Python that empower flexible and high-performance user experiences
 </li>
 <li>
 Write robust, maintainable code across the stack that&rsquo;s easy to read, test, and scale
 </li>
 <li>
 Collaborate with cross-functional teams including design, product, and data to solve complex problems elegantly
 </li>
 <li>
 Mentor junior engineers or learn from seasoned, battle-tested ones
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 B.Tech / B.E in computer science, or related degree
 </li>
 <li>
 6+ years of experience with a highly polished consumer grade React.js / Typescript app or full stack web application
 </li>
 <li>
 2+ years of experience building and shipping scalable back-end systems
 
 
 </li>
 </ul>
 
 Key Knowledge And Skills
 
 
 
 <ul>
 <li>
 Passionate about using open web technologies (HTML5/CSS/JS) to build pixel perfect, zero-latency user interfaces
 </li>
 <li>
 Skilled in designing and maintaining distributed systems and CRUD services, with knowledge of SQL and/or NoSQL datastores
 </li>
 <li>
 Comfortable in TypeScript, or JavaScript and type-curious
 </li>
 <li>
 Comfortable or interested in mastering Golang, and/or Java for backend services
 </li>
 <li>
 Thrive in a customer-focused, tight-knit and cross-functional environment
 </li>
 <li>
 A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
 
 
 We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
</div>

Software Engineer, Fullstack (India)

Zoca

<div>
 
 About Zoca
 
 
 
 Zoca is a fast-growing local business marketing platform that helps salons, spas, and wellness businesses attract, convert, and retain more clients through AI-powered tools. Backed by real-time data and automation, we simplify growth for beauty professionals.
 
 
 Our mission is to make marketing effortless for local entrepreneurs &mdash; giving every salon and spa owner access to the same growth intelligence as large brands.
 
 
 
 Role Overview
 
 
 
 We are looking for a Product Analyst who can build Zoca&rsquo;s product analytics foundation from the ground up and turn user data into actionable insights that shape our roadmap. You will help us understand how salon and spa owners use our platform, what drives activation and retention, and how product experiences translate into business growth.
 
 
 You will work closely with product, design, and engineering teams to define what success looks like for our users &mdash; and use data to ensure we get there.
 
 
 
 Key Responsibilities
 
 
 
 
 Product Insights &amp; Strategy
 
 
 
 <ul>
 <li>
 Partner with product managers to define and track key product metrics such as activation, adoption, engagement, retention, and conversion.
 </li>
 <li>
 Establish and refine Zoca&rsquo;s North Star metric and supporting KPIs to measure long-term product success.
 </li>
 <li>
 Integrate product usage insights with business outcomes such as subscription renewals, customer lifetime value (LTV), and retention.
 
 
 </li>
 </ul>
 
 User Behavior &amp; Funnel Analysis
 
 
 
 <ul>
 <li>
 Analyze user journeys to identify adoption patterns, friction points, and opportunities for improvement.
 </li>
 <li>
 Conduct funnel, cohort, and retention analyses to uncover what drives long-term user value.
 </li>
 <li>
 Segment users based on behavioral patterns to inform feature prioritization and customer success strategies.
 
 
 </li>
 </ul>
 
 Experimentation &amp; Testing
 
 
 
 <ul>
 <li>
 Design and analyze A/B tests and feature experiments to measure the impact of product changes.
 </li>
 <li>
 Ensure statistical rigor in experimentation and communicate outcomes clearly to product and leadership teams.
 </li>
 <li>
 Create and maintain experimentation best practices across teams.
 
 
 </li>
 </ul>
 
 Analytics Infrastructure &amp; Data Quality
 
 
 
 <ul>
 <li>
 Define and maintain a clean event taxonomy and data dictionary for all tracked user events.
 </li>
 <li>
 Collaborate with engineering to ensure accurate instrumentation and data reliability across tools such as Mixpanel, Amplitude, or Segment.
 </li>
 <li>
 Own the product analytics stack, including tracking setup, reporting pipelines, and dashboard automation.
 </li>
 <li>
 Partner with data engineering to improve data collection, transformation, and validation processes.
 
 
 </li>
 </ul>
 
 AI-Powered Insights
 
 
 
 <ul>
 <li>
 Use AI tools to accelerate data exploration, anomaly detection, segmentation, and pattern recognition.
 </li>
 <li>
 Build or experiment with models that predict churn, activation likelihood, or high-value user cohorts.
 
 
 </li>
 </ul>
 
 Reporting &amp; Visualization
 
 
 
 <ul>
 <li>
 Build and maintain self-serve dashboards that track key product KPIs for stakeholders across product, growth, and leadership.
 </li>
 <li>
 Translate complex analyses into clear, visual, and actionable insights that guide product decisions.
 </li>
 <li>
 Present findings in product reviews, sprint retrospectives, and roadmap discussions.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work with design and research to combine quantitative findings with qualitative insights such as NPS and user feedback.
 </li>
 <li>
 Collaborate with marketing and customer success to translate user behavior insights into growth strategies.
 </li>
 <li>
 Help product and engineering teams prioritize features based on data-driven impact.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in a Product Analyst or similar analytics role at a data-driven startup or SaaS company.
 </li>
 <li>
 Strong SQL proficiency for data extraction and user behavior analysis.
 </li>
 <li>
 Working knowledge of Python for data manipulation, cohort analysis, and statistical testing.
 </li>
 <li>
 Hands-on experience with product analytics tools such as Mixpanel, Amplitude, or similar.
 </li>
 <li>
 Experience designing and evaluating A/B tests with statistical rigor.
 </li>
 <li>
 Ability to build clear dashboards using tools like Looker, Tableau, or equivalent.
 </li>
 <li>
 Experience defining event taxonomies and maintaining data consistency.
 </li>
 <li>
 Strong understanding of SaaS product metrics (activation, engagement, retention, churn, LTV).
 </li>
 <li>
 Bonus: Experience with B2B SaaS, SMB tools, or marketing automation products.
 
 
 </li>
 </ul>
 
 Why Join Zoca
 
 
 
 <ul>
 <li>
 Join early, grow fast: Be part of the core team shaping how thousands of local businesses grow through AI.
 </li>
 <li>
 Build from zero to one: Set up Zoca&rsquo;s entire product analytics foundation &mdash; from tracking to strategy.
 </li>
 <li>
 Direct impact: Your insights will influence product priorities, UX design, and company growth.
 </li>
 <li>
 Culture of ownership: Small team, big outcomes &mdash; we move fast, break down silos, and make data count.
 </li>
 <li>
 Endless coffee (or memes): Whichever fuels your insights better.
 
 
 </li>
 </ul>
 Skills: excel,python,product analysis,sql
</div>

Product Analyst

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Pôirō

<div>
 
 
 Poiro (poiro.com) builds marketing AI systems and agents to bring brands closer to their customers.
 
 
 
 
 
 
 
 Poiro&rsquo;s AI systems can be trained on both structured and unstructured marketing data for a brand - from social media content and e-commerce marketplace data to 1st-party customer data - to build a comprehensive knowledge representation of a brand and its category. On top of that, Poiro&rsquo;s AI agents seamlessly perform data analytics &amp; data science workflows to generate actionable insights and guide marketing execution.
 
 
 
 
 
 
 
 Poiro&rsquo;s flagship product - Poiroscope - is one of the most advanced content creation suites for brands.
 
 
 Poiroscope enables brands to convert social research and insights into creative assets, without any prompting. Armed with proprietary models and computer vision workflows, Poiroscope is the only AI that generates consistently on-brand content with 100% accurate product capture.
 
 
 
 
 
 
 
 Leading brands are using Poiroscope to identify content whitespaces and generate highly engaging creatives across e-commerce, organic social and ads, at scale.
 
 
 
 
 
 
 
 Poiro is a subsidiary of Evam Labs (
 
 
 www.evamlabs.ai
 
 
 ) - a Singapore headquartered holding company with offices in Bangalore and San Jose, building the next generation of high impact AI powered Enterprise Solutions.
 
 
 From Asia, for the World. Evam Labs was founded by ex-founders, academics and investors with over a decade of experience in building data &amp; AI products and scaling companies from 0 to IPO. The founders are IIT/IIM/CMU alumni and have cumulatively raised over $500M+, invested in 30+ startups and hold 20+ patents. The rest of the Evam team comprises alumni of IITs, IIMs, CMU, IISc, NUS with rich experience across multiple industries.
 
 
 
 
 
 
 
 Role Overview -
 
 
 
 
 We are looking for a Data Scientist / Research Associate (Generative Marketing AI) to join us and make critical contributions to our product and solution development efforts. You&rsquo;ll turn messy social signals into shippable content, competitive advantage, and growth. Zero fluff: prototype fast, ship often, measure impact.
 
 
 This is a full-time onsite role from our office located in HSR Layout, Bengaluru.
 
 
 
 
 
 
 
 Key Responsibilities -
 
 
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 Own the loop end-to-end:
 
 
 ideate &rarr; prototype &rarr; test &rarr; ship models/agents that power content generation, competitive analysis, and trend recommendations.
 
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 Build real data pipelines:
 
 
 ingest at scale from Instagram/TikTok/YouTube/X, web crawls, e-comm reviews, Google Trends; normalize with brand/product taxonomies; keep it reliable and cheap.
 
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 Model the marketing stack:
 
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 LLM + RAG for brief understanding, prompt planning, and insight summarization (brand docs, past campaigns, product specs).
 
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 VLMs/diffusion for creative scoring, brand-true checks (label integrity, color, composition), and content selection.
 
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 Recommenders for &ldquo;creator &times; concept &times; timing&rdquo; and trend fit.
 
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 Agentic workflows:
 
 
 stitch tools into agents that do the grunt work&mdash;brief-to-prompt, competitive watch, trend scout, concept A/B, asset QA, posting prep.
 
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 Experimental rigor:
 
 
 design offline metrics (recall@k, CLIP/aesthetic scores, accuracy on brand rules) and online tests (CTR, watch time, save/share rate, time-to-first-draft).
 
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 Productionize:
 
 
 serve models behind clean APIs, containerize, add tracing/monitoring, and set guardrails for cost/latency/reliability.
 
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 Evaluate open source:
 
 
 pick winners (models, vector DBs, schedulers) based on evidence; propose migrations or patches when they don&rsquo;t meet a bar.
 
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 About You -
 
 
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 Background:
 
 
 B.Tech in Computer Science (or equivalent).
 
 
 1&ndash;2+ years hands-on
 
 
 in data/ML where things actually shipped.
 
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 Python first:
 
 
 strong with Pandas/Polars, PySpark; scikit-learn for quick baselines; you write clean, testable code.
 
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 Deep learning:
 
 
 PyTorch fluent (TensorFlow a plus). Comfortable fine-tuning, LoRA, and evaluation.
 
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 LLM/RAG:
 
 
 practical prompt engineering, tool-use/function-calling; you&rsquo;ve built retrieval over docs with pgvector/Qdrant/Weaviate/Milvus and can defend your chunking/index choices.
 
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 Vision &amp; gen-AI:
 
 
 experience with open-source VLMs (e.g., LLaVA, Qwen-VL, InternVL) and diffusion (SD/SDXL, ControlNet). Bonus: aesthetic/brand-safety classifiers, CLIP-based scoring.
 
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 Data at scale:
 
 
 Spark/Ray, Kafka/streams; solid SQL (Postgres/BigQuery). You know when to batch vs. stream.
 
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 Serving/infra:
 
 
 FastAPI, Docker, CI/CD; ideally Triton/TorchServe. Cloud literacy - Azure/AWS/GCP
 
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 ML ops:
 
 
 MLflow or Weights &amp; Biases; reproducible experiments; sensible eval dashboards.
 
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 Marketing domain curiosity:
 
 
 creator economy, social platform quirks, what makes content &ldquo;hit.&rdquo; You like pairing models with real outcomes.
 
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 Mindset:
 
 
 resourceful, opinionated, allergic to hand-waving. You ship weekly, measure, and cut what doesn&rsquo;t move the needle.
 
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 Why Join Us?
 
 
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 Competitive salary and benefits
 
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 Be in an early stage company - grow with the company and shape our trajectory, in turn creating inorganic growth opportunities for yourself
 
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 Be in the right field at the right time - opportunity to grow and advance your career in the burgeoning field of AI
 
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 Be part of a fast-paced, ambitious research lab that is pushing the boundaries of AI, beginning with the marketing industry
 
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Data Scientist / Research Associate - Generative Marketing AI

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