jobs in the wild.

Your model is 99% accurate and completely useless. Both are true at the same time. When? If you answered before you finished reading the question — keep going. This is for you. Most AI roles ask whether you know how to use the latest models. I am more interested in whether you can build something that still works when the data is messy, latency matters, regulations apply, and mistakes have real consequences. At DCB Bank, we are building AI and decision systems on our own data and infrastructure—not simply placing an interface over someone else’s intelligence. I am looking for people who can: Train, evaluate and deploy models end to end Read research papers—and challenge their assumptions Think seriously about precision, drift, explainability, latency and production reliability Work comfortably at the intersection of data, technology and banking Take ownership of a problem until it is genuinely solved The problems are not academic. They involve fraud detected or missed, credit decisions made well or poorly, customers understood or ignored, and operating processes that can be fundamentally redesigned through intelligence. This will be a small team with significant ownership. There will be ambiguity, difficult constraints and no shortage of problems worth solving. 📍 Bengaluru · Hyderabad · Mumbai Please do not begin with a generic CV. Send me: The most interesting model, system or product you have built What did not work What you changed after it failed If you are more interested in building AI than merely using it, DM me or mail your CV to shashwat.kumar@dcbbank.com #WeAreHiring #MachineLearning #AppliedAI #MLEngineering #BFSI #Bengaluru #Hyderabad #Mumbai #DeepLearning #AppliedAI #BFSI

Excited to build large‑scale AI/ML and GenAI systems that impact millions globally? Join Enphase’s AI Centre of Excellence (AI COE) and work on next‑gen predictive maintenance, IoT intelligence, and agentic GenAI applications. What you’ll do: • Build scalable AI/ML & GenAI systems for billions of events • Develop cloud‑based IoT, data engineering, and ML platforms • Work with LLMs, RAG, and advanced mathematical/ML models • Deploy Agentic AI solutions across multi‑cloud environments • Collaborate with top engineering teams on high‑impact problems Who you are: • BE/BTech from top 7 IITs (CS/EC/EE, 8+ CGPA) and 0–4 years experience • Strong in Python, DS/Algo, ML/DL fundamentals • Solid math + problem‑solving mindset • Familiarity with Agentic AI, LLMs, GenAI, cloud & IoT is a plus If you’re passionate about transforming the future of clean energy through AI, let’s connect! Send resumes to: enphase-ai-hiring@enphaseenergy.com

Role: Manager, AI/ML CoE Location: Bangalore, India (Hybrid) Looking for someone with 3-6 years in AI/ML/Data Science. Not just built models but taken them to production, managed MLOps pipelines, and worked with GenAI and LLMs beyond the tutorial level. Use cases you will own: customer experience, churn, lifetime value, and internal efficiency. Real problems with real business impact. You should be comfortable with Python, cloud deployments on Azure or AWS, and fine-tuning open source LLMs. Bonus if you have worked with agentic workflows. The role also needs someone who can mentor junior folks and speak the language of business stakeholders, not just engineers. If that sounds like you, fill this form: https://lnkd.in/gE4wHrxK Referrals welcome. Share if someone in your network fits. I am not the hiring manager for this position. Please don't crowd the DMs if you are interested. Just fill the form, and it will be shared with the hiring manager. #hiring #ai #actfibernet #aiml #manager

We are hiring an engineer to transform how ElevenLabs operates from within. This role is part of our Internal AI Transformation team and focuses on building agentic systems that automate workflows. The engineer will collaborate with teams across Finance, RevOps, People, and Ops to identify and replace painful manual workflows with effective agentic systems. Responsibilities will vary from integrating an MCP server with internal tools to establishing a data pipeline that automates finance processes. This position is ideal for someone who: - Builds and deploys agentic workflows in production environments, not just for demonstrations - Has hands-on experience with MCPs - Is familiar with GCP, Kubernetes, and data pipelines - Enjoys working closely with non-technical stakeholders to understand their challenges and create functional systems This is a globally remote position, open to anyone with substantial experience in building agentic workstreams. If you have been automating your own job and find joy in the process, we would love to have you on our team. Apply here (link in comments) or DM me!