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📍 Remote | 💰 Pay discussed during screening | 💼 Contract | 🌍 Eligible Countries: India, Kenya, Pakistan, Nigeria, Bangladesh, Ghana, Mexico, Egypt, Turkey About the role Shape machine learning systems that move from prototype to dependable production use. Work spans data pipelines, model design and the monitoring that keeps results honest after launch. What you'll do ✅ Owning data pipelines, model design, deployment and monitoring across the full ML lifecycle. ✅ Turning business goals into ML architectures that reflect real context and constraints. ✅ Partnering with product, engineering and business teams on problem statements and success metrics. ✅ Evaluating and tuning models for accuracy, scalability and speed with current techniques. What you'll need ✅ 4+ years of hands-on data science and ML development work. ✅ A degree in Computer Science, Machine Learning, AI, Statistics or a related quantitative field. ✅ Strong Python with Pandas, NumPy and Scikit-learn, plus solid feature engineering and evaluation skills. ✅ Working knowledge of NLP, computer vision, time-series forecasting and statistical modeling. 👉 Apply here: https://lnkd.in/dKimbQkE #RemoteJobs #PythonJobs #MachineLearning

What does it take for AI to run a creator campaign end to end, for weeks, with real brands and real money on the line? That’s the problem we’re solving at Discovr AI, and we’re hiring the engineer who wants to build it. We started by automating the manual work inside creator campaigns, end to end. It worked, and the business scaled across multiple categories in India. Now we’re growing in the US markets. What we’re building now is far more ambitious: an AI-native execution layer for creator advertising, where a brand sets the objective and guardrails and the system takes over the work an influencer marketing team does today. The hard part isn’t calling an LLM. It’s everything around it: → Making multiple agents collaborate on work that runs for weeks → Deciding when AI should act on its own and when it should ask a human → Proving that its decisions were actually good → Turning thousands of past decisions into intelligence that makes every campaign smarter We’re not betting on 100% accurate AI. We’re building controlled autonomy: AI does the heavy lifting, humans approve what matters, and the human share shrinks as confidence grows. And you won’t build in a vacuum. Real campaigns and real creators across two markets generate the data, feedback and edge cases every day. Role: AI Product Engineer (SDE) | Mumbai | 2-3 years No tickets. You get a problem and own it from idea to production. If you’ve built an agent that real users depend on, we want to hear what you built and why. Fill this form and help us understand what you bring to the table: https://lnkd.in/dtb9BKtb Rosan Behera Ubed Khan Sujal Patil kailas M. #Hiring #AIAgents #MumbaiJobs

📢 We're hiring! Join the Clinical Data Engineering team at Origin Medical in Bengaluru and help build AI for better prenatal care 🤰💙 🔹 Clinical Imaging Specialist | 1–6 years 🔹 Data Operations Engineer | 1–2 years 📍 Full-time · Onsite · HSR Layout, Bengaluru If you're passionate about ultrasound, medical imaging or data engineering and want work that truly matters, we'd love to hear from you! 🚀 📎 Check the posters for full details and the link to apply. 📩 Questions? careers@originmedical.ai Please share with anyone who'd be a great fit 🙌 #Hiring #BengaluruJobs #HealthcareAI #MedicalImaging #DataOps #FetalUltrasound #MaternalHealth

We’re expanding our team and looking for seasoned Applied AI Software Engineers! If you are passionate about building agentic solutions to solve complex reliability and systems problems at scale, let's connect. We are hiring across mid to senior levels. Minimum years of experience: 3. Location: Bengaluru, India. Interested? Please reach out and share your resume!

We are looking for a strategic and hands-on Director/Senior Director – AI to lead our organization-wide AI product strategy, roadmap, and portfolio. The opportunity : This is a high-impact leadership role at the intersection of AI, product, technology and business. You will define the organisation-wide AI product strategy and build the portfolio that moves AI from isolated use cases to repeatable, trusted and commercially meaningful outcomes. The portfolio may span generative AI, predictive machine learning, intelligent automation and AI-enabled experiences across areas such as fraud detection, risk management, customer support, personalized payment experiences and operational efficiency. What you will own: • Set the AI product vision, strategy and roadmap in close partnership with business and technology leadership. • Build and prioritise an AI product portfolio based on customer pain points, business value, feasibility, risk and speed to impact. • Lead the full product lifecycle — problem discovery, use-case definition, experimentation, prioritisation, build, launch, adoption and optimisation. • Partner with AI/ML engineers, data scientists, designers, platform teams and business leaders to ship reliable AI products at scale. • Evaluate and integrate external AI and LLM platforms where they create a clear advantage, while maintaining security, privacy, cost and performance discipline. • Shape modern AI product practices, including model evaluation, human-in-the-loop design, feedback loops, observability and continuous improvement. • Establish practical governance for responsible AI, including regulatory compliance, data privacy, security, explainability, risk management and auditability. • Build the AI product management capability through talent, operating rhythms, decision frameworks, documentation and best practices. What we are looking for: • 12–18 years of product management experience, including at least 3 years building or scaling AI products. • A proven record of shipping B2C or B2B AI/ML-driven products at scale and taking them beyond pilots into sustained adoption. • Strong working knowledge of generative AI and its product applications, including LLMs, transformers, embeddings and modern AI application patterns. • The ability to connect technical possibilities to customer needs, commercial value and execution priorities. • Experience leading high-performing product teams and working effectively across product, engineering, data science, design, risk, compliance and business functions. • Strong strategic thinking, analytical judgement, communication and stakeholder-influence skills. Interested candidates can share their profiles at - Swati.singh@payu.in Hiring #AI #ArtificialIntelligence #ProductManagement #GenerativeAI #Fintech #Leadership #ProductJobs Manas Mishra Sudheer Singh