Job Description: AI/ML Engineer (SD1/SD2) Location: Remote / Bangalore Type: Full-time Team: AI/ML Engineering About Disseqt AI Disseqt AI helps enterprises build safe, reliable, and compliant AI systems. We develop cutting-edge evaluation, safety, and monitoring capabilities that ensure AI applications behave consistently, securely, and responsibly in production environments. We are building the next-generation AI safety stack — combining machine learning, smart evaluation systems, and scalable engineering. If you love working at the intersection of ML models, systems engineering, and real-world AI reliability, this role is for you. Role Overview We’re looking for an AI/ML Engineer (SD1/SD2) who can design, train, and deploy machine learning models and build production-quality ML services. You’ll work across model development, evaluation pipelines, and backend integration to support scalable AI systems used by enterprise customers. This role sits at the heart of our ML platform — combining applied machine learning, NLP, model optimization, and service engineering. What You Will Do Machine Learning & NLP - Build and optimize ML models for text classification, semantic scoring, and evaluation tasks - Develop hybrid ML pipelines combining classical ML, embeddings, and rule-based techniques - Work with transformers, embeddings, and lightweight inference-optimized architectures - Benchmark multiple models for accuracy, latency, and reliability Production ML Engineering - Build containerized ML services (Python/FastAPI) for high-performance inference - Optimize models for CPU-only execution and on-prem deployment - Implement scalable inference pipelines and internal APIs for model serving - Ensure reliability, uptime, and versioning of ML services Evaluation & Observability - Develop automated evaluation pipelines for model performance and quality - Instrument ML services with tracing, logging, and metrics - Work closely with backend engineers to integrate ML outputs into platform workflows Safety & Quality Systems - Train and refine models for text safety, classification, detection, and quality scoring - Build logic to combine statistical, ML, and heuristic signals - Contribute to robust testing frameworks and red-teaming workflows Engineering Collaboration - Work with platform, backend, and infra teams to deploy ML workloads - Write clean, maintainable code and contribute to internal tooling - Participate in code reviews, architecture discussions, and sprint planning What We’re Looking For Required Skills - Strong proficiency in Python for ML development - Experience with ML model training and classical ML (SVM, Logistic Regression, XGBoost, etc.) - Experience with NLP libraries (Transformers, spaCy, sentence-transformers) - Familiarity with model evaluation, metrics, and benchmarking - Ability to build APIs/services for ML inference (FastAPI/Flask) - Understanding of containerized deployment (Docker) - Comfortable working with data preprocessing, dataset creation, and experimentation Good To Have - Experience optimizing models for CPU or resource-constrained environments - Knowledge of embeddings, similarity scoring, and semantic search - Exposure to ML observability, logging, or tracing systems - Experience with rule-based + ML hybrid systems - Hands-on experience with Redis, PostgreSQL - Basic understanding of Golang is a plus - Exposure to agentic/LLM systems, evaluation frameworks, or safety research Who Will Thrive in This Role - Engineers who enjoy owning ML problems end-to-end — model → API → deployment - Those who love practical ML, not just research - Builders who like shipping to production, not just prototyping - People who enjoy working in fast-paced, deeply technical teams - Those passionate about the reliability and governability of AI systems Why Join Us - Work on high-impact ML problems in a rapidly evolving domain - Build real-world AI systems trusted by enterprise customers - 100% ownership of projects with end-to-end visibility - Solve technically challenging ML problems with a top-tier engineering team - Competitive salary + equity

Founding GTM Engineer Location New York City or U.S. Employment Type Full-time Location Type On-site, Hybrid, or Remote Department Revenue & GTM Engineering Compensation • Competitive base salary • Performance-based commission • Equity About Evergrid Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud. We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure. We care deeply about outcomes, ownership, and building durable systems and long-term partnerships. The Role As a Founding GTM Engineer, you will help design and implement go-to-market systems to win mindshare and grow our top-of-funnel. This role is focused on building simple, high-impact workflows that scale. You’ll be expected to generate high-impact ideas and quickly implement working GTM motions. We value speed, clarity, and leverage — lightweight systems that work today and can scale tomorrow without adding unnecessary complexity. If you enjoy moving fast, testing ideas in the real world, and turning small systems into meaningful impact, this role is for you. What You’ll Do Build modern GTM Systems - Design and build on Evergrid’s go-to-market and sales engineering workflows - Build simple automations across HubSpot, Make.com, Clay, and internal tools - Prototype new outbound, inbound, and qualification workflows - Replace manual sales work with creative automation and AI-driven processes - Test GTM ideas quickly and scale what works AI-Driven Sales Acceleration - Use modern AI models (ChatGPT, Grok, Gemini, and others) as building blocks - Create workflows for prospect research, personalization, account mapping, and follow-up - Design AI-assisted systems for founder-led sales and enterprise deal support - Explore agent-style workflows to reduce time-to-meeting and time-to-close Sales Engineering & Deal Support - Support live deals with technical context and clear customer-facing explanations - Translate GPU and cloud infrastructure concepts into simple, compelling narratives - Assist in pilots, proofs of concept, and custom enterprise deal flows - Act as a bridge between sales, founders, and infrastructure teams Learning, Iteration & Optimization - Identify friction in the sales process and design systems to remove it - Track what’s working and iterate based on real results - Build feedback loops between GTM data and execution - Document systems so successful experiments become repeatable What We’re Looking For - Strong systems thinker with a bias toward experimentation and execution. - Comfort operating in ambiguity and learning quickly - Experience with automation platforms (HubSpot, Make.com, Zapier, APIs, or similar) - Heavy user of AI tools (ChatGPT, Grok, Gemini) to accelerate ideation and execution - Technical curiosity and ability to learn complex products - Clear written and verbal communication - High ownership mindset Nice to Have - Exposure to enterprise or technical sales environments - Experience with enterprise & AI-Native cloud sales, Neocloud, GPU Cluster buyers - Background in startups or fast-moving environments - Basic scripting or API experience

Role Overview We are seeking a technically deep, hands-on Solutions Engineer with strong enterprise contact center and customer experience expertise, combined with a startup and builder mindset, to lead the design, prototyping, and hardening of AI-driven solutions for large enterprise prospects. This is not a traditional demo-focused Sales Engineer role. This role operates as an applied AI systems architect and builder in a pre-sales environment. You will translate enterprise workflows into structured, demo-ready AI architectures and personally build working prototypes that validate feasibility under real-world constraints. You must be comfortable owning technical design end-to-end, operating with high autonomy, executing under executive visibility, and driving technical outcomes without relying heavily on downstream teams. What You’ll Do Applied AI Solution Architecture - Design and prototype enterprise-grade, AI-driven customer experience demo solutions, translating business logic into structured reasoning frameworks. - Architect robust retrieval, orchestration, and validation systems, building scalable prototypes that tolerate real-world data variability. - Own the transition from early-stage prototype to hardened proof of concept. Enterprise CX & Contact Center Expertise - Apply deep knowledge of enterprise contact center ecosystems, including CCaaS, CRM, ticketing systems, digital messaging, routing logic, escalation flows, QA models, and reporting structures. - Work directly with CX, Operations, Digital, IT, and Architecture stakeholders to understand real-world workflows and constraints. - Convert operational processes into AI-enabled workflows that align with containment, handle time, SLA, QA, escalation rate, and customer satisfaction metrics. - Identify integration patterns across enterprise systems and design practical implementation approaches. Enterprise Discovery & Technical Navigation - Lead rigorous technical discovery sessions across multi-layered enterprise organizations. - Extract clear architecture and data requirements from ambiguous or politically complex environments. - Identify logic gaps, data fragmentation, compliance constraints, and integration risks early in the engagement. - Document architecture, assumptions, and technical success criteria clearly. Strategic Pre-Sales Partnership - Partner closely with Account Executives to shape technical strategy within enterprise accounts. - Scope engagements realistically, balancing ambition with execution feasibility. - Articulate architectural tradeoffs clearly to both executive and technical audiences. - Influence enterprise stakeholders on integration patterns and AI implementation approaches. - Contribute to scalable solution design that supports long-term account expansion. Execution Expectations - Operate independently in fast-moving, ambiguous environments. - Rapidly build working prototypes under tight timelines. - Take full ownership of technical outcomes rather than relying on downstream teams to validate feasibility. - Design with production realities in mind, not just happy-path demonstrations. - Maintain a consistently high conceptual and technical bar in AI-driven systems. - Deliver artifacts that withstand executive and architectural scrutiny. Required Experience Enterprise CX & Contact Center Background - 5+ years of experience in enterprise customer experience, contact center, or customer support technology environments. - Strong familiarity with CCaaS platforms, CRM systems, routing frameworks, digital messaging channels, escalation models, and reporting metrics. - Experience modeling solutions against operational KPIs including containment, AHT, SLA, escalation rate, QA score, and CSAT. - Demonstrated experience working with enterprise stakeholders across Operations, IT, Digital, and Architecture teams. Enterprise Stakeholder Navigation - Proven ability to lead technical discovery in complex, multi-stakeholder enterprise accounts. - Experience extracting structured requirements from ambiguity. - Track record of influencing architectural decisions and technical direction within enterprise environments. - Comfortable pushing back constructively on scope, feasibility, and risk. Applied AI & Systems Engineering - Hands-on experience building AI-driven applications using large language models or similar technologies. - Experience structuring reasoning flows, orchestration logic, and decision frameworks. - Practical experience designing retrieval strategies across structured and unstructured knowledge sources. - Strong Python proficiency including API client development, data normalization, error handling, and test harness construction. - Experience building lightweight internal tools or utilities to accelerate solution development. - Experience debugging multi-system interactions across AI behavior, logic layers, and integration layers. - Familiarity with version control and structured testing practices. Cloud & Integration Foundations - Working knowledge of cloud architecture patterns, including event-driven systems, middleware, and scalable API design. - Experience integrating enterprise SaaS platforms using REST APIs and webhooks. - Understanding of data modeling, schema design, and system scalability considerations. - Familiarity with at least one major cloud platform. Startup & Builder Mindset - Experience operating in high-growth startups or similarly fast-paced environments. - Demonstrated history of building complex systems independently. - Comfortable operating without rigid structure or fully defined requirements. - High ownership mentality with minimal dependency on external resources. - Bias toward shipping validated, working systems over producing theoretical designs. What Sets You Apart - You move from whiteboard architecture to working prototype in days, not weeks. - You design systems that withstand real-world enterprise constraints. - You think in workflows, integration boundaries, and measurable outcomes. - You are equally comfortable discussing routing logic with contact center leaders and debugging APIs or AI behavior. - You hold a high technical standard and proactively design guardrails and validation into your builds. Success in This Role Looks Like - Independently leading technical discovery that results in clearly documented architecture and defined success criteria. - Delivering production-grade proofs of concept that withstand executive and architectural scrutiny. - Identifying integration, data, and logic risks before late-stage deal pressure. - Shipping working technical artifacts that reduce reliance on downstream teams. - Translating AI system behavior into measurable operational and financial impact. This Role Will Not Be a Fit If - You prefer highly structured requirements before beginning work. - You are uncomfortable being the primary technical owner in high-visibility enterprise deals. - You rely heavily on product or engineering teams to validate feasibility before building. - You view pre-sales primarily as presentation-driven rather than execution-driven. Who This Role Is For - This role is ideal for a technically strong builder with deep enterprise CX experience who wants to operate at the intersection of AI engineering and enterprise solution architecture. - You are comfortable navigating executive conversations, designing scalable integration patterns, and personally building the systems that validate your architectural thinking. - If you are seeking a traditional demo-focused Sales Engineer role or one centered primarily on slideware and handoffs, this role will not be the right fit. Benefits and Perks: - Market-competitive total compensation package - 100% company paid family medical and 100% individual dental and vision insurance coverage - Flexible, unlimited vacation policy - Stock options - Strong company culture Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work. Applicants need to have the authority to work in the US. As we are at an early stage, immigration sponsorship is not available.

Über Saxovent Über die Punx Über Saxovent Renewables Als Teil der Saxovent Gruppe spielen wir bei der Saxovent Renewables GmbH & Co. KG eine entscheidende Rolle innerhalb der Wertschöpfungskette für nachhaltige Energie. Mit Fokus auf Entwicklung von Wind-, PV und BESS-Projekten, arbeiten wir daran, den Übergang zu einer klimafreundlichen Energieversorgung zu beschleunigen. Unsere Expertise und Zusammenarbeit mit Partner:innen weltweit helfen uns, innovative Lösungen zu entwickeln, die den CO₂-Ausstoß nachhaltig reduzieren. Gestalte mit uns eine grüne Zukunft und werde Teil unseres Teams in Berlin/ Oldenburg in Remote – als Senior Projektentwickler:in für Erneuerbare Energieprojekte (all genders) Vollzeit und unbefristet Region NRW & Rheinland-Pfalz, Remote mit hohem Außendienstanteil Über Saxovent Renewables Solar Über Aurevo Energy Über CS Power May we introduce ourselves? Über das Team About the team Über die Rolle In der Rolle als Senior Projektentwickler:in Wind & PV bist du für die Flächenakquise und Entwicklung innerhalb der ersten Projektphase unserer Wind- und Solarprojekte verantwortlich – mit klarem Schwerpunkt auf Flächenakquise und regionalem Netzwerkaufbau. Du verfügst über die Fähigkeit Projekte zu identifizieren und zu bewerten sowie erste Layouts selbstständig zu erstellen. Du bist Ansprechpartner:in der Flächeneigentümer:innen, Projektpartner:innen, Gemeinden sowie Kommunen und repräsentierest das Unternehmen nach außen. Du nimmst eigenständig Projektopportunitäten wahr und treibst diese durch dein Verhandlungsgeschick eigenverantwortlich voran. Du bist kommunikativ, flexibel und zeigst eine hohe Reisebereitschaft. Da wir aktuell kein Büro in NRW oder Rheinland-Pfalz haben, suchen wir eine unternehmerisch denkende Persönlichkeit, die Projekte selbstständig identifiziert, bewertet und strukturiert vorantreibt. Du arbeitest remote aus der Region, bist regelmäßig im Außendienst unterwegs und mit den Teams in Oldenburg und Berlin dauerhaft im Austausch. About the role Die Aufgaben im Detail - Aufbau und Umsetzung unserer Projektaktivitäten in NRW und Rheinland-Pfalz - Schaffung der Grundlagen unserer Wind- und Solarparks von morgen mit einem hohen Anteil an Außendienst - Identifikation und Bewertung geeigneter Flächen. Systematische Recherche und Analyse von Flächenpotentialen für erneuerbare Energieprojekte - Projektverantwortung von der ersten Projektidee bis zur Vorbereitung des Genehmigungsverfahrens - Akquise von Flächen für die Entwicklung von Wind- und Solarenergieprojekte in Abstimmung mit unserer Planungs- und Entwicklungsabteilung - Verhandlungsführung mit Grundstückseigentümer:innen, Gemeinden und Kommunen - Aufbau sowie Pflege einer vertrauensvollen Beziehung und Partnerschaft zu den Grundstückseigentümer:innen, Gemeinden und Kommunen - Aufbau und Pflege langfristiger, vertrauensvoller Partnerschaften in der Region The tasks in detail Über uns Über die Position und Aufgabe Vorrangige Aufgaben Das Anforderungsprofil Wie Du uns im Sturm eroberst Wie wir Dich im Sturm erobern möchten Wie Du uns zum Strahlen bringst Wie wir Dich zum Strahlen bringen möchten Das erwartet dich bei uns Kurz und knapp Mit welchen Kompetenzen Sie unterstützen können Mit welchen Kompetenzen Du uns unterstützen kannst - Erfolgreich abgeschlossenes Studium der Umwelt-, Raum- und Landschaftsplanung, der Geografie, im Bauingenieurwesen oder eine vergleichbare Ausbildung - Mindestens 5 Jahre Berufserfahrung im Bereich Windenergie und/ oder PV – idealerweise mit Schwerpunkt Akquisition - Idealerweise vorhandenes Netzwerk in NRW und/oder Rheinland-Pfalz - Sicherer Umgang mit MS Office-Anwendungen und QGis - Durchsetzungsstarkes Denken und Handeln sowie die Fähigkeit wirtschaftliche Zusammenhänge zu erschließen - Einsatz- und Lernbereitschaft sowie hohe Motivation Projekte eigenverantwortlich voranzutreiben - Sehr gute Deutschkenntnisse - Hohe Reisebereitschaft und Besitz eines Führerscheins der Klasse B Ihr Profil Your profile Diese Kompetenzen bringst du mit Damit möchten wir Sie begeistern Das bieten wir Ihnen Our offer Damit möchten wir Dich begeistern Wir bieten dir zusätzlich zu einer attraktiven Vergütung einen verantwortungsvollen Tätigkeitsbereich in einem krisenfesten Unternehmen, Freiräume für innovatives Denken und Gestalten sowie die Möglichkeit, mit deiner Arbeit aktiv zum Klimaschutz beizutragen. Mit großem Gestaltungsspielraum und hoher Eigenverantwortung hast du die Möglichkeit, eine Region strategisch mit aufzubauen. Außerdem investieren wir ganzheitlich smart und bieten unseren Mitarbeiter:innen folgende Benefits: - Arbeiten wo andere Urlaub machen: Bei Saxovent hast du die Möglichkeit 4 Wochen am Stück aus dem EU-Ausland zu arbeiten - Auszeiten: Wir gewähren 28 Tage Urlaub, zusätzlich hast du am 24.12. und 31.12. frei - Geburtstagsfrei: Wir schenken dir einen halben Tag frei an deinem Geburtstag, damit du deinen Tag so genießen kannst, wie du möchtest - Betriebliche Altersvorsorge: Wir steuern 20 % zu deiner betrieblichen Altersvorsorge bei und geben dir die Möglichkeit, diese bei einem nachhaltigen Anbieter abzuschließen - Sei mobil: Wir gewähren dir einen Zuschuss von 30,00 € pro Monat zu deinem BVG-Firmenticket ABC, Deutschlandticket oder Leasingfahrrad - Gesundheitsprävention: Wir steuern monatlich 30,00 € zu deiner Urban Sports Club-Mitgliedschaft bei - Essenszuschuss: Damit deine Pause noch besser schmeckt, erhältst du einen Essenszuschuss für deine Mittagspause - Weiterbildungsbudget: Dank jährlichem Weiterbildungsbudget kannst du dich in den Themen weiterbilden, die dich interessieren und weiterbringen - Corporate Volunteering: Die Möglichkeit für euer soziales Engagement innerhalb der Arbeitszeit Du möchtest noch mehr über Saxovent Renewables erfahren, dann besuche unsere Profile auf Kununu oder LinkedIn. Neuer Job während der Pandemie? New Job during the pandemic? Damit möchten wir dich begeistern Wie Du ein Punx wirst Wir haben Sie überzeugt? Wir haben Dich überzeugt? Dann freuen wir uns auf deine aussagekräftige Bewerbung (Motivationsschreiben, Lebenslauf und was du uns sonst noch wissen lassen möchtest) unter job@saxovent.com . Bei Fragen wende dich gerne jederzeit an Kathrin Freyer (Head of People) unter people@saxovent.com. Saxovent Renewables GmbH & Co. KG Donnerschweerstraße 398, 26123 Oldenburg Alle persönlichen Informationen werden gemäß der EU-Datenschutzrichtlinie verarbeitet. Wir freuen uns auf jede Bewerbung, unabhängig der ethnischen Herkunft, des biologischen oder sozialen Geschlechts, der Religion oder Weltanschauung, einer Behinderung, des Alters oder der sexuellen Identität. Have we sparked your interest?