Solve Intelligence jobs

Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale! We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. Agentic AI is an emerging area for our team-prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research! Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition). Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products. Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform. Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement. Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics. Driving innovation by identifying opportunities to incorporate advanced

Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) Bellevue, Washington, USA The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create-from novel safety mechanisms to sophisticated evaluation techniques-shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This

Engineering Manager - Data Intelligence Sunnyvale, California, United States About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role As an Engineering Manager on the Data Intelligence team, you'll lead a world-class group of engineers focused on revolutionizing how we produce, curate, and leverage high-quality data to accelerate autonomy development. Your team will work across three key areas: Data Quality, where we build systems to measure,

AI Research Scientist - Algorithm Chennai,IND posted: Posted Today

MSL/Sr. MSL Oncology, Multiple Myeloma (Southeast) Remote | Atlanta, GA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Medical Science Liaison (MSL) is the field-based scientific expert responsible for advancing scientific and medical understanding of AbbVie's therapeutic areas through high-quality, non-promotional scientific exchange. The role serves as AbbVie's scientific face in the field, building trusted relationships with healthcare professionals and scientific experts, generating actionable healthcare professional perspectives and Scientific Intelligence, and supporting evidence generation activities that inform medical strategy and contribute to improved patient outcomes. Responsibilities: ​​Deliver high-quality, balanced, and compliant scientific exchange with healthcare professionals and scientific experts, tailored to clinical context and informational needs. ​Build and sustain credible, trust based scientific relationships that enable meaningful two-way dialogue and Scientific Intelligence. ​Interpret and communicate AbbVie and therapeutic landscape data, disease state knowledge, and evolving standards of care with clarity and scientific rigor. ​Generate, document, and share healthcare professional perspectives and Scientific Intelligence to inform medical planning and evidence generation activities. ​Support evidence generation activities by raising scientific awareness of clinical research and

Business Intelligence Engineer, Fee Strategy Bengaluru, Karnataka, IND As a Business Intelligence Engineer I in the Fee Strategy organization, you'll be at the forefront of shaping how Amazon monetizes its 3P business globally, leveraging data as your superpower to drive fee frameworks that impact millions of Selling Partners on our platform! Dive into the world of marketplace economics where your analytical expertise will help establish fee structures, programs, and magnitudes that power Amazon's global 3P business. You'll uncover hidden patterns in seller behavior, estimate and measure the impact of fee changes, and drive strategic innovations that directly impact over 2MM+ active sellers worldwide. This work feeds into a long-term vision of building a closed-loop fee setting process that minimizes human judgment and maximizes data-driven decision-making. In this high-impact role, you'll collaborate with economists, scientists, SDEs, product managers, and business leaders to tackle fascinating challenges at the intersection of pricing strategy, financial modeling, and global commerce. The Fee Strategy organization is where data meets real-world impact, every framework you build and every insight you generate directly influences fee programs across global stores, shaping seller economics, marketplace competitiveness, and Amazon's bottom line. If you're passionate about leveraging the latest analytical techniques (including GenAI) to solve complex strategic puzzles around fee optimization at massive scale and significance, this role offers the perfect blend of intellectual rigor, scientific depth, and meaningful business impact! Basic Qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization

Senior AI ML Solution Engineer, AI-Native Development Israel, Tel Aviv posted: Posted 30+ Days Ago

Senior Applied Scientist - AI Evaluation & Quality Systems Seattle, United States of America Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. The Human-centered AI, Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. Your work will span two connected problem spaces. The first is the methodology and tooling that generates reliable ground truth and detects quality failures across human annotation and automated evaluation pipelines. The second is the autonomous QA agents that make those methodologies generalizable across teams and use cases. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. Design and implement

Senior Machine Learning / Data Engineer Kuala Lumpur, 14, Malaysia Company Description: NielsenIQ is a consumer intelligence company that delivers the Full View™, the world's most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description: As a Senior Machine Learning Engineer, you'll play a key role in turning innovative ML research into scalable, real-world solutions that power global decision-making. At NiQ, we're looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of data science and engineering to transform cutting-edge research into robust, production-ready systems. If you're excited by cloud technologies, MLOps, and solving complex problems with smart, data-driven approaches, and you thrive in a collaborative, learning-focused environment, this role is for you. What You'll Do Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices. Productionize Prototypes:

AI Research Engineer - Reinforcement Learning Barcelona; Berlin; London; Munich; Paris Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired with high generalisation capabilities and strong robustness against adversarial attacks. You will build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. You will develop and integrate state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle, the CA-1 Europa , as part of the groundbreaking Centaur project. This is a

Senior Business Intelligence Engineer, ProdOps OAT, Amazon Leo Bellevue, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Role Overview As a Senior Business Intelligence Engineer (BIE), you will architect and deliver best-in-class analytics solutions that drive data-informed decisions to streamline production of Leo's satellite technology. You will set new standards for creating scalable, efficient, and automated processes for large-scale data analysis while maintaining a high bar for engineering excellence. As a Senior BIE within Leo ProdOps, you will demonstrate technical leadership by transforming complex challenges into clear, actionable insights. You are a customer-obsessed problem-solver who builds strong partnerships across Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, and finance teams. Your ability to invent and simplify will be key to solving technical challenges. You will use your communication skills to articulate complex data concepts, manage expectations, and drive consensus across diverse technical and non-technical stakeholders. You will raise the bar by mentoring other BIEs

Engineering Manager, Cooperative Systems Seattle, Washington, United States About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI's state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You'll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support,

MSL/Sr. MSL Oncology, Multiple Myeloma (California) Remote | San Francisco, CA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Medical Science Liaison (MSL) is the field-based scientific expert responsible for advancing scientific and medical understanding of AbbVie's therapeutic areas through high-quality, non-promotional scientific exchange. The role serves as AbbVie's scientific face in the field, building trusted relationships with healthcare professionals and scientific experts, generating actionable healthcare professional perspectives and Scientific Intelligence, and supporting evidence generation activities that inform medical strategy and contribute to improved patient outcomes. Responsibilities: ​​Deliver high-quality, balanced, and compliant scientific exchange with healthcare professionals and scientific experts, tailored to clinical context and informational needs. ​Build and sustain credible, trust based scientific relationships that enable meaningful two-way dialogue and Scientific Intelligence. ​Interpret and communicate AbbVie and therapeutic landscape data, disease state knowledge, and evolving standards of care with clarity and scientific rigor. ​Generate, document, and share healthcare professional perspectives and Scientific Intelligence to inform medical planning and evidence generation activities. ​Support evidence generation activities by raising scientific awareness of clinical research

Senior Manager Artificial Intelligence Troy, Michigan, US posted: Posted 30+ Days Ago

Software Engineer Backend/Platform Systems II (Full Time) – United States 13 Locations Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Our dedicated team is building the future of Cisco's AI-driven platforms and data infrastructure, driving innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms for business-critical initiatives. As part of this collaborative environment, you will contribute to the advancement of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of backend engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation. Your Impact As a passionate software engineer, you bring expertise in developing scalable backend systems, designing robust analytics platforms, and building infrastructure to support modern cloud and distributed computing initiatives. Your strong background in programming, distributed systems, and cloud platforms enables you to solve complex challenges with innovation and precision. By building and maintaining key software tools and backend infrastructure, you empower Cisco's business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your contributions ensure high-quality, reliable platforms that support Cisco's leadership in intelligent, scalable technology solutions. Minimum Qualifications Completion within the past 3 years, or current enrollment with expected completion within

Applied AI Engineer San Francisco | OnSite We're inventing the future of B2B SaaS with AI agents. We're betting on language models and we're betting on scale. You'll test new models the day they come out and understand their characteristics better than their developers do. You'll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models. You'll work directly with customers every day and have unusual influence over operations and policy-making at the world's biggest companies. Responsibilities - Turn language models into useful, functional, and beautiful products. - Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.) - Architect and implement workflows that power SafetyKit's risk AI agents - Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases - Use codegen models to move 10x faster than you did two years ago About you - You love language models. - You have the patience to be rigorous. - You act like an owner in everything you do. - People tell you you pick things up unusually quickly. - You love the weird little details of life in our customer's companies. - You care about your work and you care about moving fast. A lot. - You know more than you need to know. You have an insatiable curiosity.

Mathematics Specialist (Fluent in Spanish - Spain) - Freelance AI Trainer Project Spain Are you a mathematics expert fluent in Spanish (Spain), eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to‑$65 per

Senior Business Intelligence Analyst Denver, Colorado, United States About the opportunity Contentful is seeking a Senior Business intelligence Analyst to join our growing Field organization. In this highly visible and impactful role, you will serve as the analytics thought leader for our Field Organization , transforming data into actionable insight that drives growth, improves efficiency, and enables strategic decision-making. You'll work closely with field leadership, revenue operations, marketing, product and finance to uncover opportunities that accelerate pipeline generation, improve conversion rates, and optimize field performance. As a key business partner, you'll help shape go-to-market strategy through data-informed recommendations and forward-looking analysis. This role sits within the Field organization but partners closely with our central Data team - leveraging Contentful's Insight360 platform to ensure the field organization has trusted, timely, and actionable data. You'll interrogate data, experiment, build dashboards and models, and guide leadership with fact-based storytelling that drives meaningful business outcomes. If you're a hands-on analytics expert with a passion for solving commercial challenges through data, this is an opportunity to make a tangible impact on the growth and success of Contentful. What to expect? - Partner with Field leadership to define, measure, and monitor key performance metrics across pipeline health, bookings, productivity, and retention. - Deliver high-quality insights and analysis that guide tactical and strategic decisions, supporting both day-to-day operations and long-term growth initiatives. - Build and maintain dashboards, reports, and models that provide real-time visibility into field performance using Contentful's Insight360 platform and modern BI tools. - Collaborate

Senior Gen AI Developer PUNE, Mahārāshtra, India

Wireless Communications Engineer (SDR) United States About SkySafe SkySafe is the leader in drone detection and airspace intelligence, delivering unmatched visibility into drone activity. As the only company offering advanced drone detection, deep analytics, and forensics, SkySafe enables organizations to detect, analyze, and act on drone activity with precision in real-time. Its cloud-based SaaS platform provides comprehensive drone data, helping distinguish between authorized drones and potential threats. By transforming complex drone data into actionable insight, SkySafe empowers organizations to act with clarity and confidence and provides the intelligence needed for smarter decision-making and safer skies. About the Role: At SkySafe, we're passionate about building innovative solutions that push boundaries and solve complex problems in the UAS space. We're looking for an experienced SDR Wireless Communications / Modems Engineer to join our small, high-impact team. The ideal candidate has deep expertise in implementing L1/L2 (physical + MAC) layers of wireless communication systems using SDR techniques. In this role, a successful candidate will work alongside our reverse engineering team to implement demodulation and decoding for various wireless protocols, as well as to independently optimize and improve existing SDR modem code. About SkySafe SkySafe is the leader in drone detection and airspace intelligence, delivering unmatched visibility into drone activity. As the only company offering advanced drone detection, deep analytics, and forensics, SkySafe enables organizations to detect, analyze, and act on drone activity with precision in real-time. Its cloud-based SaaS platform provides comprehensive drone data, helping distinguish between authorized drones and potential threats. By

Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago

Data Scientist - II, Alexa Sensitive Content Intelligence Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. We are looking for a passionate, talented, and inventive Data Scientist-II to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring good learning and generative models knowledge. You will be working with a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with other data scientists while understanding the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for

Director, Product Management – Pharmacy United States, US Oracle Health is transforming the future of medication management through intelligent, connected, and AI-enabled solutions that improve patient safety, operational efficiency, and clinical outcomes. Our Pharmacy portfolio plays a critical role in connecting prescribing, verification, dispensing, administration, and medication intelligence across the healthcare ecosystem. We are seeking a visionary Director of Product Management to lead Oracle Health's Pharmacy portfolio and drive the next generation of Pharmacy Reimagine initiatives. This leader will define and execute the product strategy for a portfolio of pharmacy solutions while helping shape AI-enabled applications within the Oracle Health AI Application Suite. The ideal candidate combines deep pharmacy domain expertise with exceptional product leadership experience and a passion for solving complex healthcare challenges. They will work closely with customers, clinicians, engineers, designers, data scientists, and executive leaders to deliver innovative solutions that transform how pharmacy teams operate across inpatient, ambulatory, military, veteran, and emerging care settings. This is a highly visible leadership role responsible for balancing strategic innovation, customer needs, business growth, and operational excellence across a broad product portfolio. Define the Pharmacy Portfolio Vision and Strategy Establish and communicate a compelling long-term vision for Oracle Health's Pharmacy portfolio. Lead the Pharmacy portfolio strategy and roadmap, including identifying opportunities to modernize medication workflows through using automation, use of AI, intelligent decision support. Drive portfolio investment decisions aligned with current and new products, customer needs, market opportunities, regulatory requirements, and Oracle Health's strategic objectives. Partner with executive leadership to define

Cleared AI/ML Engineer Washington, DC At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: - Develop MLOps frameworks and workflows for a variety of domains and applications - Deploy, maintain, and optimize ML models and data processes in a production environment - Develop custom AI/ML algorithms that translate into mission value - Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency - Collaborate with cross-functional teams to integrate AI/ML models into products and services Here's what you need: - Hands-on experience with scripting languages such as Python, JavaScript or Rust - Hands-on experience with developing machine learning models at scale from inception to business impact - Hands-on experience with any major deep learning framework and libraries (TensorFlow, PyTorch, HuggingFace) - Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or