machine learning developer

Tech Consulting

<div>
 
 
 Job Description &mdash; Junior AI/ML Python Developer
 
 
 
 
 Type - Full Time
 
 
 
 
 Location - Relocation required - Atlanta, GA
 
 
 
 
 This role includes 10 weeks of training
 
 
 
 
 
 
 We are looking for a motivated and detail-oriented
 
 Junior AI/ML Python Developer
 
 to join our development team. The candidate will assist in building AI-powered applications, developing machine learning models, writing scalable Python code, and supporting data-driven solutions.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain Python-based applications and AI solutions.
 </li>
 <li>
 Assist in building, training, and testing machine learning models.
 </li>
 <li>
 Work with datasets for cleaning, preprocessing, and analysis.
 </li>
 <li>
 Integrate AI/ML models into web applications and APIs.
 </li>
 <li>
 Collaborate with senior developers, data scientists, and product teams.
 </li>
 <li>
 Write reusable, efficient, and well-documented code.
 </li>
 <li>
 Debug, test, and optimize application performance.
 </li>
 <li>
 Use libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Create REST APIs using Flask or FastAPI.
 </li>
 <li>
 Participate in code reviews and agile development processes.
 </li>
 <li>
 Maintain version control using Git/GitHub.
 </li>
 <li>
 Stay updated with latest AI/ML technologies and trends.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong knowledge of Python programming.
 </li>
 <li>
 Basic understanding of Machine Learning and AI concepts.
 </li>
 <li>
 Familiarity with data structures and algorithms.
 </li>
 <li>
 Experience with Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Knowledge of SQL and databases.
 </li>
 <li>
 Understanding of APIs and backend development.
 </li>
 <li>
 Familiarity with Git and GitHub.
 </li>
 <li>
 Good analytical and problem-solving skills.
 </li>
 <li>
 Strong communication and teamwork abilities.
 </li>
 </ul>
 
 
 
 
 
 
 Thanks
 
 
 
</div>

Python Developer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale. 
What you bring:<ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li><li>
You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li><li>
You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li><li>
You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li><li>
You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li><li>
You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li><li>
You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li><li>
You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul> 
About You<ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li><li>
You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li><li>
You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li><li>
You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450276 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer

Oak Ridge National Laboratory

<div>Requisition Id 15670 
Overview:
We&rsquo;re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. 
Major Duties/Responsibilities:<ul><li>
Development and support of models utilizing AI/ML and Microsoft Azure related Power apps, including CoPilot Studio.</li><li>
Collaboration with business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements.</li><li>
Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring.</li><li>
Ethical and responsible use of AI in line with ORNL policy and guidelines.</li><li>
Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities.</li><li>
Become the Go-To DOE lab for AI/ML best practices across lab domains.</li><li>
Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices.</li><li>
Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration An overall combination of equivalent experience may be considered.<ul><li>
Masters and PhD degree holders in the same fields of study are also encouraged to apply:<ul><li>
Masters&rsquo; holders should have seven (7) to ten (10) years of aligned experience with the last 2-3 three years in the AI/ML arena.</li><li>
PhD holders should have four (4) to six (6) years of relevant and aligned experience with the last 2-3 three years in the AI/ML arena.</li></ul></li></ul></li></ul><ul><li>
Prior demonstrated AI/ML development and deployment in independent cloud and on-premise environments including requirements gathering, design, and deployment of reporting solutions.</li><li>
The candidate must demonstrate:<ul><li>
experience creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family.</li><li>
experience with Microsoft CoPilot, OpenAI tools and API&rsquo;s for GPT creation, Hugging Face, LangChain, Large Language Models, Generative AI or similar tools.</li><li>
a deeply curious approach toward novel development, planning, support, design, modification and testing of data warehouse cubes, models, dimensions, measures, views and reports,</li><li>
being a results-motivated, curious, self-starter who is comfortable working in a project-based environment,</li><li>
the attitude of an analytical doer that creatively problem solves through innovation as work demands</li><li>
excellent relational client-facing skills, effective exploratory analytical thinking, and attention to detail,</li><li>
a strong emphasis in delighting customer and end-user needs.</li></ul></li></ul> 
Preferred Qualifications:<ul><li>
Active DOE Q clearance.</li><li>
Understanding of multidimensional and tabular modelling, vector databases, Graph DB.</li><li>
Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow.</li><li>
Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others.</li><li>
Knowledge of current ORNL business processes and applications (or similar) is a bonus.</li><li>
Knowledge of Microsoft SharePoint technologies is a bonus.</li></ul> 
Special Requirements:<ul><li>
Visa sponsorship is not available for this position.</li><li>
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.</li></ul> 
Hybrid Eligibility:
This position is located in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis. 
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain dedicated people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
Having difficulty using the online application system or need an accommodation to apply due to a disability? Please email: ORNLRecruiting@ornl.gov. 
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Senior Artificial Intelligence Software Engineer (Hybrid Eligible)

Advansys ME

INTRO Technology is a leading technology solutions & digital transformation Group based in the UAE. INTRO Technology was founded in 1999 as the Technology arm of INTRO Holding. It operates through its well-integrated subsidiaries providing cutting-edge industrial automation, cloud solutions, Internet of Things (IoT) technologies, and digital transformation services to the global market with a particular focus on North America, Europe, the Middle East & Africa. With over 950 skilled talents, serving 100+ enterprise customers across 24 countries.
 
Requirements
 
Here’s a look at some of the exciting roles we offer at Intro Technology Group, giving you a clear idea of the diverse opportunities available to kick-start your career:
 
Software Testing
 Senior Automation Tester
 Performance Testing QA Engineer
 Big Data Engineer
 NodeJS Developer
 RAID Support Engineer
 Revit API Developer - BIM
 Controls Engineer - Allen Bradley PLC
 Frontend Developer (React)
 Cybersecurity - Penetration Tester
 Travel Specialist - Visa Processing
 RPA Business Analyst
 Project Manager
 Integration Engineer
 Java Developer
 Database Developer
 Integration Engineer
 Machine Learning Engineer
 Junior SecOps Engineer
 
You’re just one step away from unlocking new opportunities.
 Complete your application now and take your first step toward joining the Intro Technology team!
 
Benefits
 Hybrid working model
 Social and medical insurance
 Transportation

AUC Employment Fair 2026

Optimal Inc.

<div>Job Title: Agentic AI Developer
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.
Key Responsibilities<ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul>
Required Qualifications<ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul>
Qualifications<ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

MEDIFLOWS BILLING SOLUTIONS Company

Job Title: AI Agent Developer Trainer (Part-Time)Job SummaryWe are seeking a part-time AI Agent Developer Trainer to teach students how to build and understand AI agents. The ideal candidate can clearly explain concepts and guide students through practical learning.Responsibilities<ul><li>Design and deliver training programs focused on AI agent development</li><li>Large Language Models (LLMs)</li><li>Prompt engineering</li><li>Agent frameworks (e.g., LangChain, AutoGen)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Guide learners in building real-world AI agents (chatbots, automation tools, multi-agent systems)</li><li>Create course materials, assignments, and practical labs</li><li>Provide one-on-one mentorship and feedback</li><li>Stay updated with the latest trends in AI and agent technologies</li><li>Evaluate student progress through projects, assessments, and code reviews</li><li>Assist learners in deploying AI agents (APIs, cloud platforms, etc.)</li></ul>Requirements<ul><li>Strong knowledge of AI, Machine Learning, and AI agents</li><li>Experience with Python and AI tools/frameworks</li><li>Good communication and teaching skills</li><li>Ability to explain concepts to beginners</li></ul>Job TypePart-Time (On-site)Job Type: Part-timePay: Rs40,000.00 per monthWork Location: In person

AI Agent Developer Trainer

Robert Half

<div>
 
 
 Position Intel:
 
 This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 
 
 
 
 
 
 Top Requirements:
 
 
 <ul>
 <li>
 Experience working on/in AI &amp; LLM platforms or services
 </li>
 <li>
 Developer or Machine Learning background
 </li>
 <li>
 Nvidia AI Enterprise Components- ideal not required.
 </li>
 </ul>
 
 
 
 
 &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 
 
 
</div>

Artificial Intelligence Engineer

Search 10000+ Machine learning developer jobs near you this May. New roles added regularly across leading industries. Apply today.