💼 AI Jobs

AI/ML Career Roadmap Advice Needed for a Web Developer Transitioning into AI

Hi guys, I recently started learning AI/ML through a 6 month course from IIT Roorkee via Masai. Currently they are teaching Python. They claim to provide placements with a 94% placement rate after the course but I’m not sure how realistic that is. I have around 1.6 years of experience as a Web & WordPress Developer including two 6 month internships and one 6 month full time role. Right now I’m not working and want to transition into AI/ML or AI related development roles. My target is to g...

Mercari Software Engineer (ML, Trust & Safety)

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AI/ML Engineer (Minimum 5 years experience required)

Job Title: AI/ML Engineer Location: Remote Company: Honovix AI Salary: $3000-$4000. Job Description: Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models. Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond). Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart unde...

[Hiring] Fullstack AI/ML Engineer (Minimum 5 years experience required)

Nature of Work Document processing, OCR, and data extraction Building and maintaining Python-based pipelines Working with FastAPI, Celery, Redis, Docker All work is performed on a remote US-based machine Work Hours Should be available to work Eastern Time Zone at the minimum. Remaining work hours are flexible Who This Role Is For At least 5 years of experience Strong self-learners who can work independently Candidates looking for long-term growth and ownership Requirements Understanding of AP...

[FOR HIRE] Senior ML Engineer | GenAI, LLMs, Stable Diffusion, Computer Vision | $15/hr | 40 hrs/week | Remote

5 years building production ML systems. Based in Islamabad, Pakistan (PKT, UTC+5) — flexible on overlap for US, EU, or APAC teams. Rate: $15/hr Availability: 40 hrs/week Open to: Remote contracts, part-time, or full-time engagements What I work on: GenAI and LLMs — multi-agent pipelines with LangGraph, LLM inference infra on vLLM hitting sub 200ms latency, RAG systems, multimodal chatbots Stable Diffusion and image gen — fine-tuned SDXL models for production, TensorRT quantization (~40% laten...

HOW TO SWITCH FROM TCS (JAVA dev) TO ANY AI/ML JOB ASAP

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ML Domain Round for Google L5

Has anyone recently went through ML Domain Round for Google L5? Location: BLR, India Any idea on what to expect? Will it be just theoretical round or coding or design? P.S.: This is the 1st round in process. submitted by /u/HighOnCode62 [link] [comments]

Machine Learning Engineer - AI Agents & LLMs

Strativ Group seeks a Machine Learning Engineer in San Francisco to design and deploy AI models for a healthcare startup. Requires 4+ years in AI/ML, strong software skills, and offers a salary of $180K–$240K.

Applied AI/ML Engineer (Performance Intelligence Systems)

Description Leidos is seeking an Applied AI/ML Engineer to support a large, mission-critical U.S. Navy program.This role focuses on designing and building AI- and machine learning–enabled performance intelligence systemsthat help identify operational risks, diagnose systemic performance issues, and surface improvement opportunities across complex program operations. The ideal candidate is a systems-oriented engineer with strong Python development skills and applied data science experience who enjoys working on messy real-world operational problems. Rather than performing one-off analyses, this role focuses on building durable analytical capabilities and software systems that continuously analyze performance data and enable more proactive program management. This position sits within the program’s Performance Management team, supporting Service Level Requirements (SLRs) and broader Navy performance initiatives such as World Class Alignment Metrics (WAM).The work combines systems thinking, applied analytics, and production-quality software engineering to improve how performance issues are detected, understood, and addressed across the program.This team operates in a code-first environment where analytical capabilities are developed as maintainable software systems rather than one-off analyses. Primary ResponsibilitiesDesign and build AI- and machine learning–enabled performance intelligence systems that continuously analyze operational performance data and identify emerging risks, degradation patterns, and improvement opportunities.Design and implement analytical services, pipelines, and tooling in Python that incorporate AI/ML methods and transform operational data into continuously updated performance intelligence.Build cloud-deployed analytical tools and services that enable automated or semi-automated detection of performance issues tied to contractual Service Level Requirements (SLRs).Translate messy operational challenges into practical analytical solutions, combining statistical methods, machine learning techniques, and domain-informed logic.Engineer reusable analytical capabilities, frameworks, and software components that strengthen the team’s long-term ability to diagnose and improve operational performance.Collaborate with performance analysts, engineers, and program stakeholders to frame problems and design data-driven approaches to improving program outcomes.Investigate systemic performance issues and engineer tools that surface root causes, prioritization signals, and improvement opportunities.Communicate technical insights and analytical findings clearly to both technical teams and program leadership.Support broader Navy performance initiatives by extending analytical methods and tooling beyond individual SLR use cases when appropriate. Required QualificationsBachelor’s degree with 8+ years of experience applying data science, machine learning, or AI to real-world operational or performance problems (additional experience may be considered in lieu of degree)Strong Python development experience building maintainable, production-quality software.Experience designing and implementing analytical pipelines, data processing workflows, or AI/ML-enabled analytical systems.Experience working with large, messy, or heterogeneous operational datasets and extracting meaningful signals.Experience deploying analytical code, pipelines, or services in cloud or production environments.Experience developing containerized analytical applications and deploying services through CI/CD pipelines.Experience building APIs or service interfaces that expose analytical capabilities or models.Demonstrated ability to frame ambiguous operational problems and engineer practical analytical solutions.Ability to clearly communicate analytical reasoning and technical insights to both technical and non-technical stakeholders.Experience building and maintaining analytical systems or tools used operationally by other teams or stakeholders.Active Secret clearance or higher.Preferred QualificationsExperience applying machine learning, statistical modeling, or anomaly detection techniques to operational or performance datasets.Experience building analytical tools, services, or platforms used by operational teams or decision-makers.Exposure to AI-enabled workflows, automation, or reusable analytics frameworks.Familiarity with container orchestration platforms (Kubernetes, ECS, or similar) for deploying scalable analytical services.Experience working in large operational programs or complex enterprise environments, particularly within government or defense programs.Strong systems thinking and curiosity about how complex operational environments function and fail.If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:March 18, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Need - Artificial Intelligence/Machine Learning Engineer 2- Austin, TX, Onsite - Locals Only

Cynosure Technologies LLC is seeking an Artificial Intelligence/Machine Learning Engineer 2 for an onsite role in Austin, TX, with a focus on AI/ML development for the Texas Department of Transportation.

Machine Learning Engineer - Platforms

MD Anderson is hiring a Machine Learning Engineer - Platforms in Houston, TX, to develop and maintain the enterprise AI/ML platform for clinical and operational use. The role involves MLOps engineering, platform integration, and collaboration with data scientists.

Data Scientist/AI Engineer (Contingent) Jobs

KIHOMAC, Inc. is hiring a Data Scientist/AI Engineer in Aberdeen Proving Ground, MD. The role involves developing machine learning models and analytics for wearable systems, requiring a Bachelor's degree and 3+ years of relevant experience.

Machine Learning Engineer, Express AI Foundations

Adobe is seeking a Machine Learning Engineer for its Express AI Foundations team in San Jose, CA. The role involves developing AI infrastructure and collaborating on production systems for various AI applications.

Hey everyone, my team has been working on a cloud platform built for data science work. We have streamlit, Airflow, Jupyter, VS Code — no local setup & conflicts.

Currently we're at a stage where we want genuine users to try it and share their insights. Whether you live in Jupyter notebooks, Airflow or use other tools like VS Code or anything else in your data science workflow we'd love to hear from you. The more variety of use cases, the better. To make it worth your time, we're offering free credits so you can run real workloads on the platform. If you're regularly doing data work and want to try something new, feel free to reach out here or send me ...

AI/ML Engineer - Remote

Optum is hiring an AI/ML Engineer to develop conversational AI solutions. This remote role requires experience with AWS services and AI/ML systems, focusing on voice and chatbot platforms.

Thoughts on my resume (incoming college CS freshman

My projects are literally stuff I did with kaggle datasets im working on trying to make better ones rn. Let me know how the rest looks though. I see all my friends in college getting butalized trying to find internships so im stressing out hella https://preview.redd.it/9jzv1efth00h1.jpg?width=599&format=pjpg&auto=webp&s=9151bea18993f2afc922e1c34bf1f659749ae7fb https://preview.redd.it/tahczbfth00h1.jpg?width=603&format=pjpg&auto=webp&s=b557705132941432e589198a8b6cc21c9e...

[Hiring] [Remote] [IN] - MLOps Engineer (JAX, PyTorch, Pallas/Triton) $35-$45/hour (India only)

Description Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). This is a W-2 employment...

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Building AETHER: Autonomous AI Infrastructure | Open to Work in AI/ML Engineering

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[Hiring] AI Industry & Model Adoption Strategist

Hiring: AI industry scout / strategist for fully remote position. I run a small AI company building proprietary domain-specific models, and I’m looking for someone who is deeply familiar with the AI landscape and can help us navigate it strategically. This is not a software engineering role, and it’s not generic marketing. You also do not need to have done this exact job before. I’m specifically looking for someone who already understands things like: Which AI benchmarks / leaderboards are ho...