5659 Experimentation Jobs - Page 49

Namaskaram! AjnaLens is looking for a Senior Data Scientist to join our Product Intelligence team at Thane (Maharashtra - India). This leadership role is designed for a seasoned professional who can not only dive deep into complex data but also guide product strategy, mentor junior data scientists, and influence key decisions at a strategic level. If you're passionate about transforming data into actionable insights that shape the future of AI-powered experiences and wearable technologies, we’d love to have you onboard. We’re also proud to share that Lenskart is now our strategic investor , a milestone that reflects the impact, potential, and purpose of the path we’re walking. Join us as we co-create the future of conscious technology. Read more here: The smartphone era is peaking. The next computing revolution is here. Top 3 Daily Tasks: Lead data analysis efforts, uncovering actionable insights to guide product and business strategy. Develop and implement advanced predictive models that forecast long-term impacts on customer retention and revenue. Mentor and guide junior data scientists, fostering a data-driven culture across cross-functional teams. Minimum Work Experience Required: 5+ years of experience in data science, with a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams. Top 5 Skills You Should Possess: Expertise in advanced predictive modeling techniques and statistical analysis. Strong ability to lead data-driven initiatives, from experimentation to model deployment. Experience with A/B testing frameworks and data-driven decision-making in product development. Deep understanding of customer behavior analytics and how data drives retention and growth. Excellent communication skills to translate complex findings into actionable recommendations for leadership and product teams. What Would You Be Expected to Do: Lead the design and implementation of data models that predict product performance, retention rates, and revenue growth. Conduct advanced statistical analysis to assess and optimize the impact of AI features and interactions. Mentor junior data scientists, helping them develop skills and collaborate effectively across teams. Work closely with leadership, product managers, engineers, and designers to ensure alignment between data insights and product goal. Create dashboards and visualizations that present key metrics and findings in an accessible, actionable manner.

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Process Development Scientist I POSITION PURPOSE: The Process Development Scientist-I with some supervision from the Chemical Development Lead focuses on the route scouting and Chemical Process Development of Bayers' existing and pipeline crop protective agents. Collaborates with all internal and external functional teams. The job holders ensure all the experimental work is done following the highest safety standards and document the generated data in the Electronic Lab Notebook. The applicant will have an excellent practical and theoretical understanding of synthetic organic chemistry or a relevant technology and can design and execute high-quality, thoughtful experimentation while making significant contributions both independently and as a member of a team. The candidate will work within an interdisciplinary and cross-divisional team in the Crop Protection Innovation organization. TASKS AND RESPONSIBILITIES: Conduct process chemistry research as an individual contributor, which includes, but is not limited to, research on inventing new synthetic routes and associated manufacturing processes that turn the molecules into agrochemical solutions Conduct experiments for route scouting, process optimization, safety evaluation, high throughput screening and chemo/biocatalytic reaction discovery and optimization. Invent synthetic routes and develop safe, robust, and cost-effective processes to manufacture Crop Protection Agents developing the synthetic routes Contribute to the Chemical Development Process by conducting laboratory experiments by own hand and providing experimental results, technical updates, documentation, data interpretation, recommendations for process optimization, etc. With the help of the Process Engineer optimize unit operations Investigate optimization, generate safety and process engineering data required for scale-up of chemical reactions This is a highly practical role where you will be working in the R&D laboratories to generate new synthetic routes and assist in the design, planning and execution of multi-step experimental studies guided by risk assessment to deliver safe, efficient, robust manufacturing processes. Collaborate within project teams by working closely with analytical chemists, process engineers, pilot plant team and project managers within the Crop Protection Innovation organization. Staying up to date with the latest advancements in chemistry and technologies. Find opportunities to use these technologies in solving process development challenges Follow all company, site and laboratory Environmental, Health and Safety (EHS)-related protocols, processes, guidelines and SOPs. Actively participate in EHS discussions with peers and management for continuous improvement of EHS practices. KEY WORKING RELATIONS: Internal Crop Protection Innovation Team Analytical Chemist from Pilot Plant Team AIM Production Team AIM Analytical team at Vapi External Coordinate with various vendors and engineers for instrument installation/maintenance activities WHO YOU ARE: M.Sc/M.Pharm in Organic Chemistry with more than 8 year’s experience or Fresh PhD or PostDoc in Organic Chemistry in designing and performing experiments in a laboratory setting to meet project timelines and objectives. Experience in independent planning and execution of experiments for multistep synthesis of complex organic molecules. Experience in independent interpretation of data from experiments and using it to make conclusions/decisions regarding the direction of future experimentation Comprehensive and state-of-the-art knowledge of modern synthetic methodologies as well as a basic understanding of organic reaction mechanisms and retrosynthesis. Strong understanding of small molecule analysis including chromatographic and spectroscopic techniques and structure elucidation by NMR and Mass Spectroscopy is required Embraces ambitious goals and drives progress with urgency. Consistently seeking opportunities to acquire knowledge, develop skills, and share insights. Possesses a strong willingness to learn and grow through challenging experiences, actively engaging in giving and receiving constructive feedback to foster continuous improvement. Effectively interacts with diverse teams across functions, cultivating strong working relationships with both internal and external collaborators to enhance overall performance Ability to work in the shifts Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext. Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. YOUR APPLICATION Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination. Location: India : Gujarat : Vapi Division: Crop Science Reference Code: 833702 Contact Us 022-25311234

Job Title: Senior Python Developer – Agentic & Generative AI Experience: 5–7 Years Location: On-site, Indore Job Type: Full-Time Job Summary: We are looking for a highly skilled and experienced Senior Python Developer with 5–7 years of professional experience, including hands-on expertise in Agentic AI frameworks and Generative AI technologies . You will play a pivotal role in designing, developing, and deploying AI-powered systems that leverage Large Language Models (LLMs), autonomous agents, and intelligent orchestration. Key Responsibilities: Architect and build complex Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen , or custom agent orchestration logic. Lead the end-to-end development of GenAI applications , including chatbot frameworks, autonomous tools, and LLM-powered pipelines. Collaborate with product and data science teams to define use cases, design prompt chains, and optimize agent behavior. Integrate with LLM APIs (OpenAI, Anthropic, Hugging Face) and manage prompt engineering strategies. Implement RAG pipelines using vector databases like FAISS, Chroma, Pinecone , etc. Ensure scalability, performance, and security of AI systems in production environments. Mentor junior developers and review code for best practices, performance, and clarity. Stay up to date with the latest in AI research, tooling, and model developments. Must-Have Skills: 5–7 years of solid Python development experience in scalable, production-grade systems. In-depth knowledge of Agentic AI systems, task delegation, and multi-agent coordination. Strong hands-on experience with Generative AI models (GPT-4, Claude, LLaMA, etc.) and prompt engineering techniques. Experience with LangChain, AutoGen, CrewAI, Haystack , or similar agent frameworks. Expertise in integrating and querying vector stores (e.g., FAISS, Pinecone, Weaviate). Solid understanding of LLM orchestration, memory, context handling , and autonomous tool usage. Knowledge of REST APIs , asynchronous programming , and system integration. Good to Have: Experience with Docker, Kubernetes , and deploying GenAI systems on AWS/GCP/Azure . Familiarity with CI/CD pipelines and DevOps practices. Exposure to NLP libraries , Hugging Face Transformers, or custom model fine-tuning. Understanding of ethical AI , privacy, and security concerns in AI applications. Why Join Us? Lead next-gen AI innovations and shape the future of autonomous systems. Work with a highly skilled team at the cutting edge of GenAI and LLM applications. Opportunity to define AI strategy and architecture in a rapidly growing tech environment. Flexible work culture with continuous learning and experimentation mindset.

About StyleZen StyleZen is India’s first men-focused fashion-tech marketplace that pairs AI styling with on-call experts. We help time-tight men look effortlessly sharp—fast. Instagram is our main stage for storytelling, community, and conversion, and we’re ramping hard toward launch in Delhi-NCR. Role Description Own everything Instagram: vision, calendar, creative, collaborations, and performance. You’ll craft thumb-stopping content and engineer the growth loops that turn viewers into loyal customers. Channel Strategy & Road-mapping Set quarterly IG objectives (follower, reach, saves, CTR, CAC) aligned to product launches and drops. Define content pillars, posting cadence, and budget. Content Ideation & Production Build 4-week rolling calendars (Reels, carousels, Stories, Lives). Write briefs/scripts; direct shoots with our designer/videographer; edit or QC final assets. Brand Aesthetics & Voice Maintain a cohesive “calm, confident, effortless” visual language. Craft hooks and captions that spark saves, shares, and DMs. Growth & Performance Optimisation Track KPIs in IG Insights/GA4; run weekly A/B tests on hooks, formats, posting windows. Create lightweight paid pushes (boosted Reels, Spark ads) to amplify winners. Influencer & UGC Flywheel Source, vet, and negotiate with micro-creators (5K–100K) in men’s fashion/lifestyle. Seed styling challenges and turn customers into on-camera advocates. Community Management Reply to comments/DMs, host AMAs, drop polls, and surface styling questions to our experts. Monitor sentiment and escalate product feedback to the team. Cross-Functional Glue Sync with Growth, Merch, and Ops so styling sessions, new collections, and promo codes hit the feed at just the right moment. Requirements 3–5 yrs leading Instagram growth for a consumer/lifestyle brand or agency client. Portfolio showing 0 → 100K+ follower growth and Reels-first success (include metrics). Skilled in short-form video trends, mobile editing (CapCut/Final Cut/Adobe), and Canva/Figma. Fluent with IG Insights, GA4, UTMs, and basic ad-set setup; can translate data into action. Track record of closing and managing influencer deals with measurable ROI. Copy chops: write punchy hooks in <150 characters and longer-form captions when needed. Bonus Points Experience in men’s fashion, grooming, or Q-commerce. Familiarity with Delhi-NCR & Bangalore urban male culture and meme trends. Comfortable jumping on camera for behind-the-scenes or Live styling demos. What we offer Ownership: You’re the single point of truth for IG; your wins shape the brand. Competitive salary + ESOP pathway after 3-month milestone review. Monthly styling stipend and first look at new drops. Fast-paced, experimentation-friendly culture—fail fast, learn faster.

Role Overview: We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities: Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc.). Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements: 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Understanding of ML lifecycle management and reproducibility. Preferred Qualifications: Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer: Work on cutting-edge AI platforms and infrastructure Cross-functional collaboration with top ML, research, and product teams Competitive compensation package – no constraints for the right candidate send mail to :- thasleema@qcentro.com Job Type: Permanent Ability to commute/relocate: Thiruvananthapuram District, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: Devops and MLops: 5 years (Required) Work Location: In person

You’re Good With: Hustle. Hustling. Hustled. You know how to get things moving — and growing. Crafting and executing creative growth hacks to tap into the right channels and boost conversion. Making data-driven decisions based on clear understanding of metrics, funnels, CAC, and churn. Learning at lightning speed — tools, platforms, or even entire ecosystems. Being socially sharp — from LinkedIn posts to campaign copy, you know how to engage. Thinking like a user and marketing with genuine empathy. A storytelling style that captures attention and drives curiosity. Staying hungry to learn, experiment, and iterate every day. You’re Awesome If You Have: 4+ years of experience driving growth in early-stage or fast-paced digital product environments. Worked on or marketed analytics, SaaS, AI, or developer-focused platforms. Hands-on experience with A/B testing, conversion tracking, and marketing analytics tools like Google Analytics 4, Mixpanel, Hotjar, or similar. Experience running or optimizing campaigns across LinkedIn Ads, Google Ads, or Meta Ads. Built or improved landing pages, lead funnels, and nurture campaigns. Used tools like Zapier, HubSpot, Webflow, or Notion to run lean, creative experiments. A passion for turning data into action, and action into growth. Key Responsibilities: Plan, execute, and scale creative growth experiments across paid, owned, and earned channels. Work cross-functionally with product, engineering, and design teams to optimize user journeys and boost engagement. Develop and manage a clear experimentation roadmap focused on measurable impact. Drive and track performance KPIs including acquisition, activation, retention, and conversion. Identify new distribution channels, community strategies, or partnerships to fuel growth. Keep an eye on the market — what competitors are doing, what users are asking, and what’s next. What We Offer: A front-row seat in the growth story of next-gen AI and data platforms Room to experiment, fail fast, learn faster, and scale what works Collaboration with a brilliant, curious, and impact-driven team Competitive salary and perks — compensation is not a constraint for the right candidate send mail to:- karthik@qcentro.com Job Type: Permanent Ability to commute/relocate: Thiruvananthapuram District, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: growth hacker: 4 years (Required) Work Location: In person

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! About The Job Join Qualys, a global leader in cybersecurity, where innovation meets impact! We are looking for a visionary Senior Product Manager to own and drive the AI strategy and product development for the Qualys platform. This role offers a unique opportunity to lead AI-powered security solutions that protect enterprises worldwide. Location: Foster City, California OR Pune, Maharashtra (Minimum 3 days mandatory in office) Remote: Considered for exceptional candidates with strong AI and cybersecurity product management experience The Position Qualys seeks an experienced Senior Product Manager to own the AI product line within the Qualys platform. The ideal candidate will have end-to-end ownership of AI-driven security features, from ideation to delivery, including inbound and outbound product management responsibilities. You will be a subject matter expert in AI/ML technologies applied to cybersecurity, with a deep understanding of the Qualys platform and customer needs. A key focus of this role will be advancing Agentic AI capabilities—AI systems that go beyond reactive responses to autonomously plan, make decisions, and execute actions with minimal human intervention. You will lead the integration of agentic AI to enable proactive, self-driven security workflows that enhance threat detection, automate complex processes, and deliver predictive insights, transforming how enterprises manage cybersecurity risks. You will collaborate closely with engineering, data science, sales, marketing, and customer success teams to align AI product roadmaps with market demands and emerging security challenges. What You Will Be Doing Product Ownership: AI and Agentic AI for Qualys Platform Own the AI and Agentic AI product strategy and roadmap for Qualys’ cybersecurity platform, focusing on autonomous threat detection, intelligent automation, and predictive analytics Drive innovation in AI/ML and agentic AI capabilities that improve platform accuracy, operational efficiency, and user experience by enabling AI systems to act proactively and autonomously within defined guardrails. Define clear objectives and ethical boundaries for agentic AI features to ensure responsible deployment and maintain customer trust. Business Ownership and Responsibilities Act as the ‘Business Owner’ for AI and agentic AI features, prioritizing initiatives that drive revenue growth, customer adoption, and platform differentiation. Analyze product performance metrics such as feature adoption, customer retention, expansion, and renewal; develop business plans to optimize these metrics and present insights to leadership. Lead pipeline generation efforts by collaborating with marketing to design AI-focused campaigns that attract and convert leads. Evaluate pricing and packaging strategies for AI capabilities, including freemium, premium tiers, and bundling with other Qualys products to maximize market penetration. Innovate product-led growth (PLG) and product-led sales (PLS) strategies using AI-driven insights to accelerate pipeline and revenue. Outbound Product Management Responsibilities Develop sales enablement materials including AI and agentic AI product presentations, demo scripts, and competitive positioning documents. Research the AI, agentic AI, and cybersecurity competitive landscape; craft compelling messaging and positioning; and train sales teams to effectively communicate AI value propositions. Build thought leadership content such as white papers, webinars, and case studies to showcase AI and agentic AI innovation within Qualys. Engage directly with customers to gather feedback, understand pain points, and translate insights into actionable product requirements. Inbound Product Management Responsibilities Define and evangelize the AI and agentic AI product vision, strategy, and go-to-market plans. Lead cross-functional teams (Product, Engineering, Data Science, UX, Sales) to deliver AI and agentic AI features on time and with high quality. Prioritize feature development based on customer needs, market trends, and business impact. Establish strong customer relationships to validate AI and agentic AI use cases and ensure product-market fit. What We Need From You Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; MBA or equivalent experience preferred. 7+ years of product management experience, with at least 2 years focused on AI/ML products in cybersecurity or related domains. Deep understanding of AI/ML technologies, including supervised/unsupervised learning, NLP, anomaly detection, predictive analytics, and agentic AI concepts such as autonomous decision-making, task planning, and minimal human oversight as applied to security. Proven track record of building and scaling AI-powered and agentic AI-enabled security products or platforms. Strong business acumen with experience in pricing, packaging, and go-to-market strategies for AI-driven solutions. Excellent communication skills with the ability to articulate complex AI and agentic AI concepts to technical and non-technical audiences. Experience collaborating with data scientists, engineers, and sales teams to deliver customer-centric AI and agentic AI products. Passion for innovation, experimentation, and data-driven decision-making. Familiarity with cybersecurity domains such as vulnerability management, threat intelligence, endpoint security, or cloud security is highly desirable. Ability to thrive in a fast-paced, collaborative environment and lead cross-functional teams to success. Why Qualys? Work on cutting-edge AI and agentic AI technologies that protect organizations worldwide. Collaborate with a passionate, diverse team committed to innovation and customer success. Competitive compensation, benefits, and career growth opportunities. This addition highlights the strategic importance and technical sophistication of agentic AI within the AI product management role, positioning the candidate to lead next-generation autonomous AI capabilities in cybersecurity

We Are Willing To Pay To Watch Reels During Office Hours! 🌐 About Codeword Codeword is a next-gen SaaS innovation studio powering the future of work through AI-first, automation-native products. We craft solutions that make businesses smarter, faster, and creatively autonomous. Whether it's MacroStack - our flagship marketing intelligence engine — or ThirdEye — or Hammer — or modular AI agents that revolutionize support ops, we don’t just build tools; we architect ecosystems where technology meets design and human insight fuels growth . At Codeword, performance isn't a metric — it's a mindset . Our culture thrives on experimentation, velocity, and clear business impact. If you're excited by the intersection of strategy, storytelling, and machine intelligence , you're in the right place. 🧭 About the Role: Social Media Intern (TL;DR is at Bottom) We’re looking for a social media native — someone who doesn’t just consume trends but understands why they work . Someone who can turn scroll-stopping curiosity into content that connects, converts, and compounds attention . If you instinctively analyze a Reel’s opening second, know why a LinkedIn post hits, and treat X like a micro-blog — we want you. At Codeword, social is a growth engine , not a side channel. We use it to shape perception, tell product stories, humanize innovation, and grow our digital footprint. As our Social Media Intern, you'll play a crucial role in helping us build a distinct voice and craft platform-native content that’s clever, informative, and bold. 📌 What You’ll Do (ChatGPT wants this much; Not us) Assist in planning, producing, and publishing engaging content across platforms (Instagram, LinkedIn, X/Twitter) Help shape and maintain a brand voice that is sharp, witty, and unmistakably tech-forward Monitor platform-specific trends, sounds, meme formats, and creator cues to inspire original content Collaborate with design and product teams to translate concepts into visual-first formats (e.g. carousels, Reels, micro-videos) Draft captions, tweet threads, hooks, and community responses that are snappy and value-packed Track weekly performance metrics and help derive insights to iterate content strategy Proactively engage with our community via DMs, comments, and Stories — building brand trust and human connection Own and maintain an evolving content calendar in sync with launches, events, and thought leadership goals 🛠 You’re a Great Fit If You (Bla, Bla, Bla...) Have a strong command of English and Hinglish — casual enough to meme, sharp enough to pitch Know the anatomy of a viral Reel, a save-worthy carousel, and a scroll-breaking tweet Have basic design skills using Canva & Figma Can write in multiple voices, adapt tone across platforms, and distill ideas into thumb-stopping copy Understand LinkedIn growth content, Instagram storytelling, and Twitter/X culture Are organized, proactive, and have a keen eye for detail (you cringe when fonts don’t align) Bonus: Have grown or managed a personal or brand social handle Bonus: Are familiar with tools like Notion, or Meta Business Suite TL;DR🫰🏻 Benefits You Will Have… Tools you ask, you get. Learning: Whatever you ask for. Real-World Experience in a Fast-Growing AI Startup Mentorship & Skill Development Flexible Work Culture Priority Consideration for Full-Time Roles (Certification + PPO) P.S: We do not consider unlimited Coffee/Tea as a benefit. It is basic right. Oh Yes, you will get a stipend too. P.S.S: You can apply on LinkedIn and wait for response; or you can mail whatever enough to convince us that you are the perfect fit on akshat@codeword.tech [Again ChatGPT…]  This is more than an internship. It’s a playground to test ideas, flex creativity, learn fast , and shape how an AI-first company shows up online. Let’s build the future — and make it scroll-worthy.

At KRDS, we don’t just build digital solutions — we partner with our clients to bring their boldest ideas to life. We’re a tech-driven, AI-curious, creatively relentless digital agency with a strong presence in the Middle East and across Asia. Now, we’re on the lookout for a Technical Account Manager who thrives on owning client relationships, keeping delivery sharp, and spotting opportunities to add value. If you’ve got a background in digital project management, experience in the Middle East market, and the ability to be both strategic and hands-on, we’d love to talk. What You’ll Do Be the client’s trusted go-to. You’re the first call they make — for advice, for support, or just to make sense of a brief. You’ll build relationships that go beyond the project plan. Own project momentum. Keep things moving between our internal teams and the client. Ensure timelines, budgets, and expectations are met — or exceeded. Spot the next big win. You’ll actively look for ways to deepen the relationship, whether that’s a new feature, an additional platform, or a smart AI-led solution they haven’t thought of yet. Solve before it escalates. You’ll anticipate roadblocks, smooth out issues before they become problems, and always keep the client feeling looked after. Stay curious. We’re big believers in constant learning. Whether it’s a new CMS, an AI tool, or a backend integration, you’ll be encouraged (and expected) to keep upskilling. What You Bring 5+ years of experience in technical account management or digital project management A solid understanding of the Middle East market — its clients, culture, and what makes them tick A sharp commercial instinct with a track record of upselling and growing accounts Excellent client communication skills — proactive, honest, and clear A collaborative mindset with the ability to manage designers, developers, strategists, and third-party vendors A tech-curious attitude — not afraid of APIs, CMSs, or talking shop with a developer Organised, dependable, and calm under pressure Fluent in English (Arabic is a major bonus) Bonus Points For Experience working with digital agencies or fast-paced service environments Familiarity with project management tools like Jira, Asana, or Trello A basic understanding of AI-driven tools and their potential for client solutions Certifications in Agile, Scrum, or other PM methodologies Why KRDS? Work with ambitious clients across diverse industries An open, transparent culture where ideas win, not titles A fast-paced environment that encourages experimentation, innovation, and growth Direct access to emerging technologies, including AI solutions we’re building into our client work A global team that collaborates without ego and celebrates wins together If you’re someone who loves building client trust, thrives in a tech-forward environment, and gets a kick out of turning problems into possibilities, we’d love to hear from you. Apply now and tell us about a time you helped a client succeed beyond their expectations.

We’re looking for a performance-driven marketer with a deep understanding of the D2C landscape. You’ll be responsible for strategizing, executing, and optimizing paid campaigns across channels to drive customer acquisition, retention, and revenue growth. If you thrive in a fast-paced environment, are obsessed with metrics, and love creative testing, this role is for you. Should have a strong business acumen. Key Responsibilities: ● Paid Media Campaigns: Plan, execute, and optimize paid campaigns across Meta (FB/Instagram), Google (Search, Display, YouTube), and other relevant platforms. ● Performance Tracking: Monitor campaign performance daily. Track KPIs like CAC, ROAS, CTR, conversion rates, and continuously optimize budgets and creatives. ● D2C Website Growth: Work closely with design and product teams to improve landing pages, funnels, and overall shopping experience to boost conversion rates. ● Funnel Management: Own the full-funnel journey — from ad impression to checkout — ensuring maximum eciency at each stage. ● Creative Briefing: Collaborate with content/design teams to test multiple creatives, hooks, and formats tailored to various audience cohorts. ● Retention & CRM: Support/lead email marketing, WhatsApp, and retargeting strategies to improve LTV and repeat purchase rate ● Analytics & Reporting: Regularly analyze performance, generate insights, and present reports with action plans. ● Growth Experimentation: Run A/B tests and experiments across channels and touchpoints to discover new growth levers. ● Market & Competitor Research: Stay updated with D2C trends, new platform features, and competitor strategies. Qualifications 2–8 years of experience in performance marketing, preferably in a D2C/e-commerce setup ● Hands-on expertise in Meta Ads Manager, Google Ads, and performance analytics tools ● Strong analytical skills and comfort with tools like Google Analytics, Excel/Sheets, and basic attribution modeling ● Experience working with Shopify, Moengage or other retention tool. ● Comfort with creative testing, messaging iterations, and campaign experiments ● Proactive, data-driven, and eager to learn with a “growth hacker” mindset Location can be Chennai -Work from Office or Remote

Lexmark is now a proud part of Xerox, bringing together two trusted names and decades of expertise into a bold and shared vision. When you join us, you step into a technology ecosystem where your ideas, skills, and ambition can shape what comes next. Whether you’re just starting out or leading at the highest levels, this is a place to grow, stretch, and make real impact—across industries, countries, and careers. From engineering and product to digital services and customer experience, you’ll help connect data, devices, and people in smarter, faster ways. This is meaningful, connected work—on a global stage, with the backing of a company built for the future, and a robust benefits package designed to support your growth, well-being, and life beyond work. Responsibilities : A Data Engineer with AI/ML focus combines traditional data engineering responsibilities with the technical requirements for supporting Machine Learning (ML) systems and artificial intelligence (AI) applications. This role involves not only designing and maintaining scalable data pipelines but also integrating advanced AI/ML models into the data infrastructure. The role is critical for enabling data scientists and ML engineers to efficiently train, test, and deploy models in production. This role is also responsible for designing, building, and maintaining scalable data infrastructure and systems to support advanced analytics and business intelligence. This role often involves leading mentoring junior team members, and collaborating with cross-functional teams. Key Responsibilities: Data Infrastructure for AI/ML: Design and implement robust data pipelines that support data preprocessing, model training, and deployment. Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models. Build and manage feature stores that can efficiently store, retrieve, and serve features for ML models. AI/ML Model Integration: Collaborate with ML engineers and data scientists to integrate machine learning models into production environments. Implement tools for model versioning, experimentation, and deployment (e.g., MLflow, Kubeflow, TensorFlow Extended). Support automated retraining and model monitoring pipelines to ensure models remain performant over time. Data Architecture & Design Design and maintain scalable, efficient, and secure data pipelines and architectures. Develop data models (both OLTP and OLAP). Create and maintain ETL/ELT processes. Data Pipeline Development Build automated pipelines to collect, transform, and load data from various sources (internal and external). Optimize data flow and collection for cross-functional teams. MLOps Support: Develop CI/CD pipelines to deploy models into production environments. Implement model monitoring, alerting, and logging for real-time model predictions. Data Quality & Governance Ensure high data quality, integrity, and availability. Implement data validation, monitoring, and alerting mechanisms. Support data governance initiatives and ensure compliance with data privacy laws (e.g., GDPR, HIPAA). Tooling & Infrastructure Work with cloud platforms (AWS, Azure, GCP) and data engineering tools like Apache Spark, Kafka, Airflow, etc. Use containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering deployments. Team Collaboration & Mentorship Collaborate with data scientists, analysts, product managers, and other engineers. Provide technical leadership and mentor junior data engineers. Core Competencies Data Engineering: Apache Spark, Airflow, Kafka, dbt, ETL/ELT pipelines ML/AI Integration: MLflow, Feature Store, TensorFlow, PyTorch, Hugging Face GenAI: LangChain, OpenAI API, Vector DBs (FAISS, Pinecone, Weaviate) Cloud Platforms: AWS (S3, SageMaker, Glue), GCP (BigQuery, Vertex AI) Languages: Python, SQL, Scala, Bash DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related field. Strong understanding of data modeling, ETL/ELT concepts, and distributed systems. Experience with big data tools and cloud platforms. Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Leadership experience and the ability to guide technical decisions. How to Apply ? Are you an innovator? Here is your chance to make your mark with a global technology leader. Apply now! Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us. Click here to view Lexmark's Privacy Notice.

Lexmark is now a proud part of Xerox, bringing together two trusted names and decades of expertise into a bold and shared vision. When you join us, you step into a technology ecosystem where your ideas, skills, and ambition can shape what comes next. Whether you’re just starting out or leading at the highest levels, this is a place to grow, stretch, and make real impact—across industries, countries, and careers. From engineering and product to digital services and customer experience, you’ll help connect data, devices, and people in smarter, faster ways. This is meaningful, connected work—on a global stage, with the backing of a company built for the future, and a robust benefits package designed to support your growth, well-being, and life beyond work. Responsibilities : A Senior Data Engineer with AI/ML focus combines traditional data engineering responsibilities with the technical requirements for supporting Machine Learning (ML) systems and artificial intelligence (AI) applications. This role involves not only designing and maintaining scalable data pipelines but also integrating advanced AI/ML models into the data infrastructure. The role is critical for enabling data scientists and ML engineers to efficiently train, test, and deploy models in production. This role is also responsible for designing, building, and maintaining scalable data infrastructure and systems to support advanced analytics and business intelligence. This role often involves leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams. Key Responsibilities: Data Infrastructure for AI/ML: Design and implement robust data pipelines that support data preprocessing, model training, and deployment. Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models. Build and manage feature stores that can efficiently store, retrieve, and serve features for ML models. AI/ML Model Integration: Collaborate with ML engineers and data scientists to integrate machine learning models into production environments. Implement tools for model versioning, experimentation, and deployment (e.g., MLflow, Kubeflow, TensorFlow Extended). Support automated retraining and model monitoring pipelines to ensure models remain performant over time. Data Architecture & Design Design and maintain scalable, efficient, and secure data pipelines and architectures. Develop data models (both OLTP and OLAP). Create and maintain ETL/ELT processes. Data Pipeline Development Build automated pipelines to collect, transform, and load data from various sources (internal and external). Optimize data flow and collection for cross-functional teams. MLOps Support: Develop CI/CD pipelines to deploy models into production environments. Implement model monitoring, alerting, and logging for real-time model predictions. Data Quality & Governance Ensure high data quality, integrity, and availability. Implement data validation, monitoring, and alerting mechanisms. Support data governance initiatives and ensure compliance with data privacy laws (e.g., GDPR, HIPAA). Tooling & Infrastructure Work with cloud platforms (AWS, Azure, GCP) and data engineering tools like Apache Spark, Kafka, Airflow, etc. Use containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering deployments. Team Collaboration & Mentorship Collaborate with data scientists, analysts, product managers, and other engineers. Provide technical leadership and mentor junior data engineers. Core Competencies Data Engineering: Apache Spark, Airflow, Kafka, dbt, ETL/ELT pipelines ML/AI Integration: MLflow, Feature Store, TensorFlow, PyTorch, Hugging Face GenAI: LangChain, OpenAI API, Vector DBs (FAISS, Pinecone, Weaviate) Cloud Platforms: AWS (S3, SageMaker, Glue), GCP (BigQuery, Vertex AI) Languages: Python, SQL, Scala, Bash DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related field. Strong understanding of data modeling, ETL/ELT concepts, and distributed systems. Experience with big data tools and cloud platforms. Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Leadership experience and the ability to guide technical decisions. How to Apply ? Are you an innovator? Here is your chance to make your mark with a global technology leader. Apply now! Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us. Click here to view Lexmark's Privacy Notice.

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science. Role Value Proposition The Business analyst data modeler has an important role in the data and analytics (D&A) organization. The role ensures, data is structured, organized and is represented effectively aligned to the needs of the organization. The role helps design logical & physical models which include implementation of robust data models that accurately capture, store, and manage data end to end. Job Responsibilities Perform data modeling activity (Logical, Physical) using data modeling tool – CA Erwin Data Modeler Ability to gather, understand & analyze business requirements accurately Ability to analyze data using SQL Partnering with other teams to understand data needs & translating it into effective data models. Ability to collaborate with stakeholders to provide domain-based solutions. Experience in implementing industry data modeling standards, best practices, and emerging technologies in data modeling Hands-on experience with API development and integration (REST, SOAP, JSON, XML). Education, Technical Skills & Other Critical Requirement Bachelor’s degree in computer science, Engineering, or a related tech or business discipline 8 - 10 years of overall experience with minimum 5+ years in the field of Data modeling, business & functional requirements gathering, designing data strategies and data flows, data/ETL/BI architecture, delivering logical/physical data models in collaboration with business/application teams and BSAs 3+ years Hands on experience in CA Erwin 5+ years of experience in SQL, data modelling and data analysis Ability to communicate effectively Strong SQL skills Hands-on experience with ERWIN tool Familiarity with Agile best practices Strong collaboration and facilitation skills Familiarity with Azure cloud and NoSQL database service such as Cosmos DB Experience in a client-facing role/environment.

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description As a Senior Manager of Product Management at Freshworks, you will lead strategic product initiatives for our suite of customer and employee engagement SaaS solutions. You'll drive product strategy, work closely with cross-functional teams, and deliver exceptional user experiences that solve real business problems. This role requires a blend of business acumen, technical understanding, and customer empathy to create products that delight our global customer base. Key Responsibilities Product Strategy & Vision Develop and communicate a compelling product vision and strategy aligned with company objectives Lead product roadmap planning, execution, and communication across stakeholders Identify market trends, customer needs, and competitive landscape to drive innovation Product Development & Execution Translate business requirements into detailed product specifications Collaborate with engineering, design, and QA teams to ensure high-quality implementation Manage product backlog, prioritize features, and define acceptance criteria Drive product development using agile methodologies Customer & Market Insights Conduct customer research and gather feedback to validate product decisions Analyze market trends, competitive offerings, and emerging technologies Use data analytics to drive product decisions and measure success Create business cases to support new product initiatives Cross-functional Leadership Lead and mentor a team of product managers Partner with sales, marketing, and customer success teams to ensure product-market fit Present product strategies to executive leadership and key stakeholders Influence without direct authority across various departments Product Lifecycle Management Manage products from concept through launch, growth, and optimization phases Define success metrics and KPIs for product performance Lead pricing strategy and business model development Drive continuous improvement through customer feedback and analytics Qualifications • 12+ years of working in global/cross-functional software teams in a software product company. SaaS experience is preferred as you’d settle right in. • Experience in building CX products is a plus • Being empathetic and having a strong listening ability to understand the other person - may it be a customer or a stakeholder. • Ability to arrive at intuitive & uncomplicated solutions from concept to scale by leveraging AI. • Ability to communicate complex concepts/customer problems in a simple way to internal & external stakeholders. • A track record of making day-to-day data-driven decisions in a fast-evolving environment while keeping an eye on the overall vision. • Having worked in a mode of structured experimentation - measuring and iterating on problems from time to time to achieve product goals. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

About Us: At Aventisia, we’re building the future of automation through Agentic AI . Our flagship product, Worc , allows businesses to orchestrate intelligent workflows with AI Agents, LLMs, and modern automation capabilities — all through a visual, self-service platform. We’re looking for people passionate about building cutting-edge AI systems and applying them to real-world business problems. Role Overview: As an Applied AI / LLM Engineer , you will work on designing, building, and deploying intelligent automation and conversational AI experiences using Large Language Models, LangChain pipelines, vector databases, and multimodal inputs such as voice. You’ll help integrate these AI workflows into Worc and bring them to life for business use cases such as customer engagement, lead generation, document intelligence, and more. Key Responsibilities: Design and implement AI pipelines using LLMs , LangChain , and vector databases (e.g., FAISS, Qdrant, Pinecone). Develop and deploy speech-to-text and text-to-speech flows integrated with AI agents. Fine-tune and evaluate language models for domain-specific needs. Create multi-channel communication agents using email, SMS, WhatsApp, and voice. Structure unstructured data inputs and manage embeddings for search and reasoning. Integrate AI agents into Worc workflows using Python and RESTful APIs. Collaborate with product teams to define user journeys and recommend AI integration points. Optimize pipelines for latency, accuracy, and cost-efficiency. Contribute to internal best practices, reusable components, and documentation. Required Skills: Strong programming skills in Python . Hands-on experience with LLM frameworks like LangChain , Transformers , or LlamaIndex . Experience working with vector databases (e.g., FAISS, Qdrant, Weaviate, Pinecone). Understanding of prompt engineering , RAG (retrieval-augmented generation) , and embedding models . Knowledge of fine-tuning LLMs , transfer learning, and model optimization. Familiarity with speech-to-text (e.g., Whisper, Google STT) and text-to-speech (e.g., ElevenLabs, AWS Polly) APIs. API integration and building scalable microservices using Python (FastAPI or Flask preferred). Strong problem-solving and experimentation mindset. Preferred Skills: Experience working with platforms like UIPath , n8n , or Make . Exposure to deploying models using cloud GPU environments (e.g., GCP, AWS, Azure, Nvidia). Familiarity with basic DevOps , Docker , and CI/CD practices. What We Offer: A front-row seat in building the future of agentic automation. Flexible work environment with high ownership and creative freedom. Competitive salary with performance-based bonuses. Equity options for long-term contributors. Opportunity to work on cutting-edge technologies in AI and automation. Culture of innovation, continuous learning, and supportive collaboration.

About Vairam Vairam is a fast-growing D2C fine jewellery brand. We create gold and diamond jewellery for modern women across Southeast Asia, with a unique zero-inventory model. Our mission is to blend personalisation, technology, and craftsmanship to redefine how jewellery is bought, gifted, and experienced. Role Overview We’re looking for a detail-oriented and customer-obsessed CRM Specialist to own and scale our retention marketing strategy. You will be responsible for building automated customer journeys, managing lifecycle campaigns, and ensuring a consistent and personalised experience across all touch points—from onboarding to post-purchase to reactivation. Key Responsibilities Design, build, and optimise automated CRM journeys across email, WhatsApp, and SMS using tools like Klaviyo, Mailchimp, or similar platforms Develop personalised campaigns for customer segments (first-time buyers, VIPs, inactive users, etc.) Monitor campaign performance, A/B test messaging, and optimize based on open rates, CTRs, and conversions Collaborate with design and content teams to ensure engaging creatives and timely communication Integrate CRM with Shopify and third-party apps for real-time customer data sync Analyse retention metrics (repeat rate, LTV, churn) and recommend improvements Work closely with customer experience and marketing teams to ensure a seamless customer journey Set up and manage post-purchase NPS and review requests Handle list hygiene, opt-in compliances, and database segmentation Qualifications 3+ years of hands-on experience in CRM/Retention Marketing in a B2C, D2C or eCommerce environment Experience with CRM tools like Klaviyo, MoEngage, or similar platforms Strong understanding of customer segmentation, personalisation, and lifecycle campaigns Analytical mindset with the ability to derive insights from campaign performance Good grasp of HTML for email formatting (bonus) Excellent communication and project management skills Passion for brand storytelling, customer experience, and data-driven growth Chennai-based or willing to work from Chennai in a hybrid setting What We Offer A chance to be part of a high-growth, mission-driven brand shaping the future of fine jewelry Fast-paced environment with room for experimentation and ownership Creative freedom and a collaborative team culture Flexible hybrid work model To Apply: Send your resume and a short note about why you're excited to join Vairam to sakthi@vairam.sg

Introduction: e-TRNL Energy is a fast-growing startup based in Bangalore, focused on developing next-generation energy solutions. We’re on a mission to drive innovation in battery technology while building a workplace that values collaboration, agility, and impact. We are currently expanding our team and strengthening the foundations of our operations. We’re looking for energetic professionals who thrive in dynamic environments and want to contribute meaningfully to our growth journey. Join us at e-TRNL Energy and be part of a company that’s not just building advanced technology, but also shaping a vibrant and purpose-driven culture. Job description Job Summary: We are seeking a meticulous and detail-oriented Li-ion Cell R&D Lab Technician to join our team. The ideal candidate will be responsible for supporting the research and development activities by conducting tests, experiments, and maintaining equipment in our laboratory. The role requires hard-working attributes, proficiency in lab procedures, and a commitment to ensuring accuracy and safety in all tasks. Key Responsibilities: Conducting Experiments: Perform various tests and experiments as directed by engineers and researchers. Equipment Setup and Maintenance: Set up and calibrate equipment such as test rigs, instrumentation devices, and measurement tools. Ensure equipment is well-maintained and in optimal working condition. Data Collection and Analysis: Record and document experimental data accurately. Assist in data analysis and report preparation under supervision. Safety and Compliance: Adhere to safety protocols and guidelines during all lab activities. Maintain a clean and organised work environment. Ensure compliance with regulatory standards. Technical Support: Provide technical support to engineers and researchers during testing and experimentation. Troubleshoot equipment issues and propose solutions. Inventory Management: Monitor and manage inventory of supplies, tools, and equipment used in the lab. Coordinate procurement of new materials as needed. Collaborate with multidisciplinary teams, including engineers, scientists, and technicians, to achieve project goals. Communicate effectively and contribute to team discussions. Required Qualifications: Diploma in Engineering. Proven experience (1-3 years) of working in any registered organisation. Proficiency in operating and maintaining lab equipment and instrumentation. Ability to follow detailed instructions, protocols, and safety guidelines. Strong analytical and problem-solving skills. Note: The responsibilities and qualifications outlined above are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add to, or remove duties as necessary. Job Location: Whitefield, Bangalore. For more details, please write to careers@etrnl.energy For more information visit https://e-trnl.energy/ Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift Work Location: In person Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Schedule: Day shift Fixed shift Ability to commute/relocate: Whitefield, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Experience: work: 1 year (Preferred) Work Location: In person

Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. We are seeking a hands-on Applied Machine Learning Engineer to join our team and lead the development of ML-driven insights from historical data in our contracts management, assets management and common data platform. This individual will work closely with our data engineering and product teams to design, develop, and deploy scalable machine learning models that can parse, learn from, and generate value from both structured and unstructured contract data. You will use BigQuery and its ML capabilities (including SQL and Python integrations) to prototype and productionize models across a variety of NLP and predictive analytics use cases. Your work will be critical in enhancing our platform’s intelligence layer, including search, classification, recommendations, and risk detection. What your day will look like Key Responsibilities Model Development: Design and implement machine learning models using structured and unstructured historical contract data to support intelligent document search, clause classification, metadata extraction, and contract risk scoring. BigQuery ML Integration: Build, train, and deploy ML models directly within BigQuery using SQL and/or Python, leveraging native GCP tools (e.g., Vertex AI, Dataflow, Pub/Sub). Data Preprocessing & Feature Engineering: Clean, enrich, and transform raw data (e.g., legal clauses, metadata, audit trails) into model-ready features using scalable and efficient pipelines. Model Evaluation & Experimentation: Conduct experiments, model validation, A/B testing, and iterate based on precision, recall, F1-score, RMSE, etc. Deployment & Monitoring: Operationalize models in production environments with monitoring, retraining pipelines, and CI/CD best practices for ML (MLOps). Collaboration: Work cross-functionally with data engineers, product managers, legal domain experts, and frontend teams to align ML solutions with product needs. What you need to fulfill the role Skills And Experience Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. ML Expertise: Strong applied knowledge of supervised and unsupervised learning, classification, regression, clustering, feature engineering, and model evaluation. NLP Experience: Hands-on experience working with textual data, especially in NLP use cases like entity extraction, classification, and summarization. GCP & BigQuery: Proficiency with Google Cloud Platform, especially BigQuery and BigQuery ML; comfort querying large-scale datasets and integrating with external ML tooling. Programming: Proficient in Python and SQL; familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, Keras. MLOps Knowledge: Experience with model deployment, monitoring, versioning, and ML CI/CD best practices. Data Engineering Alignment: Comfortable working with data pipelines and tools like Apache Beam, Dataflow, Cloud Composer, and pub/sub systems. Version Control: Strong Git skills and experience collaborating in Agile teams. Preferred Qualifications Experience working with contractual or legal text datasets. Familiarity with document management systems, annotation tools, or enterprise collaboration platforms. Exposure to Vertex AI, LangChain, RAG-based retrieval, or embedding models for Gen AI use cases. Comfortable working in a fast-paced, iterative environment with changing priorities. What we offer Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Mehal Mehta Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at thinkproject.com - think career. think ahead.

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements "Statistical Modeling: Develop and implement core statistical models, including linear and logistic regression, decision trees, and various classification algorithms. Analyze and interpret model outputs to inform business decisions. Advanced NLP: Work on complex NLP tasks, including data cleansing, text preprocessing, and feature engineering. Develop models for text classification, sentiment analysis, and entity recognition. LLM Integration: Design and optimize pipelines for integrating Large Language Models (LLMs) into applications, with a focus on Retrieval-Augmented Generation (RAG) systems. Work on fine-tuning LLMs to enhance their performance on domain-specific tasks. ETL Processes: Design ETL (Extract, Transform, Load) processes to ensure that data is accurately extracted from various sources, transformed into usable formats, and loaded into data warehouses or databases for analysis. BI Reporting and SQL: Collaborate with BI teams to ensure that data pipelines support efficient reporting. Write complex SQL queries to extract, analyze, and visualize data for business intelligence reports. Ensure that data models are optimized for reporting and analytics. Data Storage and Management: Collaborate with data engineers to design and implement efficient storage solutions for structured datasets and semi structured text datasets. Ensure that data is accessible, well-organized, and optimized for retrieval. Model Evaluation and Optimization: Regularly evaluate models using appropriate metrics and improve them through hyperparameter tuning, feature selection, and other optimization techniques. Deploy models in production environments and monitor their performance. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and product managers, to integrate models into applications and ensure they meet business requirements. Innovation: Stay updated with the latest advancements in machine learning, NLP, and data engineering. Experiment with new algorithms, tools, and frameworks to continuously enhance the capabilities of our models and data processes." Qualifications Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelor’s or Master’s degree in Computer Science / Data Science,

Senior Product Manager – Growth Location: Noida Experience: 4.5+ years (3+ years in growth-focused product roles) About PhysicsWallah (PW) PhysicsWallah is India’s leading edtech platform, revolutionizing affordable and high-quality education for students across Bharat. With a mission to make learning accessible and outcome-driven, PW is scaling rapidly across digital, offline, and hybrid models. As we continue our journey, we are looking for passionate and data-driven product leaders to fuel our growth engine. About the Role We are looking for a Senior Product Manager – Growth who will be instrumental in scaling user engagement, retention, and conversions across the PW ecosystem. This role requires a deep understanding of user behavior, a sharp analytical mindset, and a bias for experimentation and impact. You will work cross-functionally to own the growth funnel and unlock new avenues for sustainable product-led growth. Key Responsibilities Growth Strategy & Roadmap Define and drive the growth product strategy aligned with PW’s business and user goals. Prioritize initiatives through data and user insights, focusing on scalable and impactful outcomes. Own the product growth roadmap and ensure timely, high-quality delivery of key projects. Data Analysis & Insights Use tools like Mixpanel, Amplitude, Firebase, and GA4 to derive insights into user behavior and journeys. Translate data into clear hypotheses and actionable solutions that improve user experience and metrics. Experimentation & A/B Testing Design and execute structured A/B tests using tools like Unleash. Promote a test-and-learn culture across the product lifecycle with rapid iteration cycles. Funnel Optimization Own and optimize the user funnel from acquisition to activation and retention. Identify friction points, drop-offs, and lead funnel improvement efforts to increase ROI and user engagement. Product Execution Translate business needs and user insights into detailed product requirements, specs, and user stories. Collaborate with engineering and design to ship impactful and scalable features. Cross-Functional Collaboration Work closely with marketing, tech, design, and content teams to align and execute on growth objectives. Ensure seamless coordination and communication across stakeholders for all growth initiatives. Performance Monitoring Define KPIs for all growth projects and monitor them regularly. Track, analyze, and report progress with clarity and recommendations for the next steps. User-Centric Iteration Lead structured feedback loops and qualitative research to constantly enhance the product experience. Deeply understand our learners and tailor the product journey to meet their evolving needs. Requirements 4+ years of product management experience, including 3+ years in a growth-centric role within consumer or edtech products. Strong experience with product analytics tools (Mixpanel, Amplitude, GA4, Firebase) and A/B testing platforms (e.g., Unleash). Proven track record of driving metric improvements across user funnels. Strong analytical skills and the ability to translate insights into practical, high-impact initiatives. Excellent communication and stakeholder management skills. A user-first mindset with a strong bias for experimentation, execution, and results.

Job Title: Data Scientist (Hyderabad) Job Description: We are looking for a fresh graduate with strong Python and machine learning skills to join our team as a Data Scientist in Hyderabad . This is an exciting opportunity to work on impactful machine learning projects, primarily focused on structured data for US healthcare clients . Key Responsibilities: Analyze and interpret structured datasets to extract meaningful insights. Develop and implement machine learning models tailored to healthcare use cases. Collaborate with cross-functional teams including data engineers and domain experts to build scalable AI solutions. Automate data processing workflows and contribute to the development of robust data pipelines. Present findings and model performance to both technical and non-technical stakeholders. Stay updated with the latest trends in machine learning, healthcare analytics, and generative AI. Support research and experimentation with Large Language Models (LLMs) for potential integration into healthcare-focused applications. Qualifications: Recent graduate in Computer Science, Data Science, or a related field. Strong proficiency in Python and libraries such as Pandas, NumPy, and Scikit-learn. Solid understanding of machine learning algorithms and their practical applications. Experience working with structured data and basic data visualization tools. Familiarity with SQL and database querying. Good communication skills and ability to work in a collaborative team environment. Preferred Skills: Exposure to healthcare data or healthcare analytics projects. Familiarity with cloud platforms (AWS, GCP, etc.). Knowledge of version control tools like Git. Understanding of model evaluation and deployment practices. Interest or experience in working with LLMs and generative AI . What We Offer: Full-time, on-site role based in Hyderabad. Opportunity to work on real-world healthcare AI projects. Mentorship and learning opportunities in a collaborative team. Competitive salary and benefits.

Head of Product – Founder’s Office Location : Mumbai / Hybrid Type : Full-time Experience : 6+ years in Product Domain : AI/ML, SaaS, B2B/B2C EdTech or SalesTech preferred About mple AI mple AI is on a mission to revolutionize how teams learn and perform using AI-powered training, lifelike roleplays, and real-time feedback . We are building a high-performance leadership team. Why This Role Matters As Head of Product , you will work directly with the founders to shape mple AI’s product vision, roadmap, and execution strategy. This is not a traditional product role, it’s a Founder’s Office position that demands strategic thinking, operational hustle, and deep user obsession. Key Responsibilities Define and own the product strategy in alignment with business goals, customer needs, and market opportunities. Work closely with founders to translate vision into a clear roadmap with measurable outcomes. Drive end-to-end product lifecycle , from ideation to launch to iteration, across AI training modules, roleplay simulations, video evaluations, and analytics. Lead cross-functional teams (design, engineering, marketing, AI) with a bias toward rapid experimentation and outcome delivery . Build processes to ensure customer feedback, data, and metrics drive decision-making. Partner with GTM and customer success teams to ensure customer delight and revenue impact . Own OKRs across activation, retention, and monetization metrics. What We’re Looking For 6+ years of product experience , preferably in fast-scaling startups or tech-first companies. Hands-on product builder with strong first-principles thinking and user empathy. Proven track record of leading zero-to-one and one-to-N product journeys . Strong grasp of AI/ML technologies or demonstrated ability to work with technical teams in emerging tech spaces. Startup DNA: comfortable with chaos, loves solving problems, takes ownership end-to-end . Excellent communication, leadership, and stakeholder management skills. Bonus If You Have Experience building or scaling AI or EdTech/SalesTech platforms. Prior experience working in or alongside founders or CXOs . What You Get Competitive Compensation Direct access and collaboration with founders Opportunity to build a category-defining AI platform Ownership of strategic decisions and real impact Fast-growth environment with zero bureaucracy

Bengaluru, Karnataka Job ID JR2025463343 Category Information Technology Role Type Hybrid Post Date Jul. 17, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s diverse team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ diverse engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. At Boeing, we are inclusive, diverse, and transformative . With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Basic Qualifications (Required Skills/Experience): Bachelor’s with 8 -12 years relevant experience . Hands on knowledge in the Designing and Developing full stack modules and components for various applications. This position is for a full stack developer who has excellent programming skills in the latest tools & technology frameworks like JavaScript, JQuery, Java/J2EE, Azure App Services / Functions, Microservices etc . Must have experience with Spring Boot Framework, REST based Web Services and SO A Experience in Object Oriented Analysis and Design using Java and UML. Must have experience using Software Design Patterns, Standards and Best Practices within the industry . Experience with Azure Cloud is highly preferrabl e Experience in automated test environments such as TDD/JUNIT/Mockito/Jest is essentia l Desire to learn and conduct hands-on experimentation, product evaluations and proof of concepts in various diverse array of technologie s Good knowledge of database concepts with knowledge on writing SQL Queries. Oracle / Postgres experience to analyze current scripts and develop new scripts based on customer data extraction requests . Experience with HTML, CSS, jQuery, Bootstrap, JavaScrip t Experience with frontend JavaScript frameworks, Angular, React JS, Backbone JS, Node J S Experience with backend framework like Spring MVC, Spring Boot, JPA, Service Discover y Experience in database modellin g Experience with Release Tools (VSTS, Artifactory, Gitlab, Maven), configuration management (chef), monitoring, virtualization and containerization is essentia l Website troubleshooting & coding experience: IIS, Azure Web Apps, Apache Tomca t Identity and Authentication: SAML, SSO/Federation, AD/Azure AD etc . Azure Application Development or support experiences with Azure PaaS services (Redis Cache, Azure Blob, RabbitMQ, Cloud Service, etc. ) Experience with Event Store and Event Driven Architectur e Position Responsibilities: Demonstrated leadership skills with the ability to clearly communicate with other team member s Demonstrated ability to create positive impact on customer by developing polished, cohesive, effective, and user-friendly applications for large and complex aviation related system s Candidate must be a self-starter with a positive attitude, high ethics, and strong analytical and creative problem-Solving skills and a track record of working successfully under pressure in a time-constrained environmen t Able to communicate with others on the team virtuall y Experience in understanding and interacting with multiple data format s Ability to rapidly learn and understand software from source cod e Knowledge and/or experience of SAFe projects and processes desirabl e Organization skills to manage a workload of various tasks, which may be interrupted by high priority system issues or requests . Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Plannin g Contributes to the Backlog refinement meetings by promptly asking relevant questions to ensure requirements achieve the right level of DO R Works with the Product Owner to confirm that the code and acceptance tests reflect the desired functionalit y Raise any impediments/risks (technical/operational/personal) they come across and approaches Scrum Master/Technical Architect/PO accordingly to arrive at a solutio n Update the status and the remaining efforts for their tasks dail y Ensures change requests are treated correctly and tracked in the system, impact analysis done and risks/timelines are appropriately communicate d Develops working software towards committed Team PI Objectives and Iteration plan s Delivers working software in accordance with expected quality standard s Designs for testability: Design and evolve the system to support testability and test automatio n Works on prototyping and evaluates technical feasibilit y Ability to work in both Unix/Linux and Windows environment s Preferred Qualifications (Desired Skills/Experience): Knowledge of Domain Driven Design (DDD) is preferre d Experience with DevOps Practices such as Continuous integration and continuous deployment (using Microsoft Azure DevOps), configuration management, metrics and monitoring schemes, virtualization and cloud computing using Microsoft Azur e Knowledge and/or experience of the Aviation Industry desirabl e Familiarity with Java software development to effectively perform analysis of issues and identify potential code defect s Beginner knowledge of Bigdata: HDInsight/Hadoop, Machine Learning, Azure Stream Analytics is preferre d Scripting experience with JavaScript, Python. Also, should be able to write scripts that will fire off and orchestrate the complete deployments of DEV, QA and Production environments via tools such as Chef . Typical Education & Experience: Degree and typical experience in engineering classification: Bachelor's with 8 to 12 years' experience, master’s degree with 7+ years' experience. Bachelor, master or doctorate of science degree from an accredited course of study, in engineering . Relocation This position does not offer relocation . Applications for this position will be accepted until Jul. 25, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Your Benefits No matter where you are in life, our benefits help prepare you for the present and the future. Competitive base pay and incentive programs. Industry-leading tuition assistance program pays your institution directly. Resources and opportunities to grow your career. Up to $10,000 match when you support your favorite nonprofit organizations.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in project management and stakeholder management. Preferred qualifications: MBA or Six Sigma certification. Experience with AI/LLM technologies. Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy. Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau. Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration. Excellent executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships. About the job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube. These vendors provide support to all YouTube users - viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products. The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable. This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time. In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance. The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO. As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions. This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis. Identify and leverage synergies across existing and developing programs to maximize business impact. Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships. Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps. Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing. Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in project management and stakeholder management. Preferred qualifications: MBA or Six Sigma certification. Experience with AI/LLM technologies. Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy. Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau. Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration. Excellent executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships. About the job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube. These vendors provide support to all YouTube users - viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products. The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable. This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time. In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance. The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO. As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions. This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis. Identify and leverage synergies across existing and developing programs to maximize business impact. Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships. Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps. Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing. Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.