ai research engineer

Finaira

<div>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
Requirements
What you will bring to the role
<ul><li>Education: Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.</li><li>Experience: 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field.</li><li>Technical Skills:
</li></ul>o Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
o Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
o Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
o Strong architectural design skills for complex data pipelines and scalable AI inference systems.
o Proficiency in system design, distributed systems, and performance optimization.
o Ability to critically evaluate and apply academic research to real-world problems.<ul><li> 
Soft Skills:
</li></ul>o Strong ownership and accountability for assigned work.
o Clear and professional verbal and written communication.
o Effective time management and task prioritization.
o Analytical thinking and problem-solving skills.
o Ability to work independently, collaborate effectively and mentor junior team members.
o Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
o Adaptability and learning agility in a fast-paced environment.
o Strong attention to detail and a commitment to quality.
o Receptiveness to feedback and continuous improvement mindset.</div>

Senior AI Engineer

DataCamp

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Principal AI Engineer

BayanTech

<div><div>We are seeking a Senior AI Engineer to lead the design, development, and optimization of advanced AI systems. The ideal candidate has proven experience in LLM fine-tuning, custom model training, and RAG (Retrieval-Augmented Generation), with a strong foundation in machine learning, NLP, and multimodal AI (speech, text, and vision). 
 
You will work closely with our R&amp;D team to deliver production-grade AI solutions across projects such as voice AI agents, translation automation, localization platforms, and real-time inference systems. The role also involves mentoring junior engineers and collaborating with backend and DevOps teams to ensure performance, scalability, and deployment reliability. 
 
Job Description : 
 
<ul><li>Design, develop, and deploy AI agents capable of performing autonomous tasks.</li></ul></div><ul><li>Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).</li><li>Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability</li><li>Implement communication between agents using agent orchestration frameworks.</li><li>Automate workflows for sales, project management, accounting, and localization.</li><li>Collaborate with backend and frontend teams to integrate AI services.</li><li>Conduct prompt engineering and evaluation of model outputs.</li><li>Ensure the scalability and performance of AI systems in production environments.</li></ul> 

Requirements: 
 
7+ years of experience in AI, NLP, or ML system development. 
Proven expertise in LLM training and fine-tuning (GPT, LLaMA, Mistral, Falcon, etc.). 
Hands-on experience with RAG pipelines and vector databases (FAISS, Pinecone, Qdrant, Weaviate). 
Strong Python skills and proficiency in PyTorch or TensorFlow. 
Experience building and deploying custom AI models for text or speech. 
Knowledge of transformer architectures, tokenization, and quantization. 
Practical use of OpenAI API, Hugging Face, and LangChain. 
Experience integrating models via FastAPI, Flask, or NestJS microservices. 
Familiarity with MLOps, Docker, CI/CD, and cloud environments (AWS/GCP/Azure). 
Strong foundation in deep learning, statistics, and data preprocessing. 
Excellent communication and leadership skills to guide junior AI engineers. 
 
Nice to Have: 
Experience with speech models (Deepgram, Whisper, Piper). 
Familiarity with Twilio, Asterisk, or WebSocket-based AI streaming. 
Knowledge of localization automation and translation quality scoring. 
Understanding of LangGraph, CrewAI, or multi-agent frameworks. 
Exposure to multi-GPU training and on-premise optimization.</div>

Senior Ai Engineer

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Primary Responsibilities:<ul><li>
Design, develop, and deploy scalable AI/ML models to solve complex business challenges</li><li>
Lead end-to-end ML workflows, including data preprocessing, model training, hyperparameter tuning, and deployment</li><li>
Apply classical machine learning techniques (e.g., boosting, ensemble methods) and modern deep learning frameworks (e.g., PyTorch, TensorFlow) to deliver innovative solutions</li><li>
Work with large datasets using tools such as PySpark, Databricks, Pandas, and Numpy to enable data-driven decision-making</li><li>
Develop and fine-tune Generative AI and large language models (LLMs) using tools like Hugging Face, LangChain, and similar frameworks</li><li>
Collaborate with cross-functional teams to integrate AI/ML solutions with existing systems and applications</li><li>
Leverage cloud platforms like Azure AI, Azure ML, Google Cloud Platform, and OpenAI to build and deploy AI/ML models at scale</li><li>
Utilize ML lifecycle management tools (e.g., MLflow) to track and monitor model performance</li><li>
Conduct thorough data analysis using SQL to derive actionable insights and optimize model performance</li><li>
Explore and implement conversational AI systems (e.g., Dialogflow, Vertex AI) to enhance user interactions</li><li>
Stay up-to-date with the latest advancements in AI/ML technologies and recommend their adoption where relevant</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul>
Required Qualifications:<ul><li>
5+ years of overall hands-on AI/ML project development using Python programming</li><li>
5+ years of deep learning using PyTorch</li><li>
5+ years of classical machine learning (e.g., sklearn, boosting, NLP)</li><li>
5+ years of data analysis using SQL</li><li>
2+ years of working with large datasets using PySpark, Databricks, Pandas, Numpy, etc.</li><li>
2+ years of experience with Transformers, Hugging Face, LLMs, Generative AI, LangChain</li><li>
2+ years of proficiency with Azure AI, Azure ML, OpenAI</li><li>
2+ years of ML model deployment (e.g., MLflow, Databricks, Azure)</li><li>
1+ years of healthcare domain and system knowledge</li><li>
1+ years of familiarity with Google Cloud Platform (e.g., Dialogflow, Vertex AI)</li><li>
Experience in the healthcare domain, including working with clinical or patient datasets</li><li>
Hands-on experience with Generative AI applications and building conversational agents</li><li>
Solid understanding of data engineering principles, including ETL pipelines and data workflows</li><li>
Demonstrated ability to design and develop foundational AI models and core components that power the organization's AI ecosystem, enabling scalable, reusable intelligence across products and services. Optimize infrastructure including model architecture, training pipelines, and deployment framework to ensure high performance and reliability</li><li>
Demonstrated ability to collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Upload ethical AI principals by embedding fairness, transparency, and accountability throughout the model developmental life cycle</li><li>
Proven ability to handle unstructured datasets, such as text, images, and audio</li><li>
Proven excellent problem-solving and critical-thinking skills</li><li>
Proven solid communication skills and the ability to collaborate with cross-functional stakeholders</li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
#NJP #NIC</div>

Senior AI/ML Engineer

MTA INVESTMENT LLC

Job Title: AI Engineer / Data Scientist / Data EngineerInvestment Group: MTA Investment Group Operating Entity: iDEEP Work Location: Iran (Onsite / Full-Time)About the OrganizationMTA Investment Group is a diversified investment group with interests across technology, research, and advanced engineering domains. iDEEP operates as a specialized research and technology entity within the same investment group, focusing on artificial intelligence, data engineering, digital twins, and applied analytics.All roles are part of the same investment group, with employment and operational work aligned under a unified organizational structure. Selected candidates will work full-time onsite with iDEEP in Iran, contributing to advanced AI and data-driven initiatives.More information: https://ideep.org/Role OverviewWe are seeking skilled professionals in AI Engineering, Data Science, and Data Engineering to join our growing AI and data teams. These roles focus on the design, development, and deployment of advanced AI systems, including Digital Twin platforms, Large Language Models (LLMs), and data-driven intelligence solutions.This is a full-time, onsite role in Iran, involving close collaboration with researchers, engineers, and domain experts across the investment group.Key Responsibilities(Responsibilities may vary based on specialization)<ul><li>Design, develop, and deploy AI and machine learning models for real-world applications</li><li>Build and maintain Digital Twin systems representing physical, industrial, or operational processes</li><li>Develop, customize, and fine-tune Large Language Models (LLMs) for domain-specific use cases</li><li>Implement LLM fine-tuning techniques, including instruction tuning and parameter-efficient methods</li><li>Design and manage data pipelines supporting AI, Digital Twin, and LLM workloads</li><li>Perform data preprocessing, feature engineering, model training, and evaluation</li><li>Apply AI for prediction, optimization, anomaly detection, simulation, and decision support</li><li>Collaborate with cross-functional teams to translate requirements into scalable technical solutions</li><li>Prepare technical documentation, system designs, and research outputs</li></ul>Required Qualifications &amp; Skills<ul><li>3+ years of professional experience in AI Engineering, Data Science, Data Engineering, or applied AI research</li><li>Strong proficiency in Python</li><li>Solid understanding of machine learning fundamentals and data-driven modeling</li><li>Hands-on experience with Digital Twin concepts (system modeling, simulation, or data-driven replicas)</li><li>Experience in building, fine-tuning, or customizing Large Language Models (LLMs)</li><li>Familiarity with LLM training workflows, including data preparation, fine-tuning, evaluation, and deployment</li><li>Ability to work with structured and unstructured data</li><li>Strong analytical thinking and structured problem-solving skills</li></ul>Role-Specific Skill Preferences AI Engineer<ul><li>Machine learning and deep learning model development</li><li>Experience with transformers, generative models, and LLM architectures</li><li>Model optimization, evaluation, and deployment</li></ul>Data Scientist<ul><li>Statistical analysis, exploratory data analysis, and predictive modeling</li><li>Use of AI and LLMs for insight generation and decision support</li><li>Data visualization and communication of analytical findings</li></ul>Data Engineer<ul><li>Data pipeline development, ETL processes, and data architecture</li><li>Supporting AI, Digital Twin, and LLM systems with reliable data infrastructure</li><li>Experience with SQL and large-scale datasets</li></ul>Preferred Technical Exposure<ul><li>Machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn</li><li>Experience with LLM fine-tuning techniques (LoRA, PEFT, instruction tuning)</li><li>Exposure to Digital Twin platforms, simulation tools, or system modeling</li><li>Knowledge of APIs, model serving, or AI system integration</li><li>Familiarity with cloud or high-performance computing environments is an advantage</li></ul>Language &amp; Communication<ul><li>Good command of English is mandatory</li><li>Ability to communicate technical concepts clearly in both written and spoken English</li></ul>Educational Background (Preferred)<ul><li>Computer Science</li><li>Artificial Intelligence / Machine Learning</li><li>Data Science</li><li>Engineering, Mathematics, or Statistics</li><li>Related technical disciplines</li></ul>Compensation &amp; Benefits<ul><li>Full-time, long-term onsite employment in Iran</li><li>Employment under the MTA Investment Group</li><li>Professional assignment with iDEEP</li><li>Work visa and accommodation support provided</li><li>Opportunity to work on Digital Twin systems, LLMs, and advanced AI research</li><li>Long-term professional growth within a research-driven environment</li></ul>Application ProcessInterested candidates should submit:<ul><li>Updated CV</li><li>Role applied for (AI Engineer / Data Scientist / Data Engineer)</li><li>Expected salary</li><li>Notice period</li></ul>Email: my1111gpt@gmail.comImportant NoteOnly candidates who are willing to work full-time onsite in Iran will be considered.Job Type: Full-timeWork Location: In person

AI and Data Engineers - Work Location: Iran

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Softscholars Technologies

Position: R&amp;D Software Engineer (MATLAB/Python) Location: Gandhipuram, Coimbatore (In-Office Only) Experience: 0&ndash;1 Year (Freshers with strong fundamentals encouraged) Education: B.E/B.Tech/M.E/M.TechInterview Process<ul><li>Technical Assessment</li><li>Direct Face-to-Face Interview</li></ul>(No online interviews)About the RoleWe are hiring motivated engineers who excel in problem-solving, coding, and applied research. This role focuses on MATLAB/Python development, algorithm implementation, and supporting R&amp;D teams working on AI/ML, Image Processing, Data Mining, and IEEE-based projects.If you enjoy learning new technologies and building research-oriented applications, this opportunity gives strong exposure and structured growth.Key Responsibilities<ul><li>Develop efficient, reusable code in MATLAB, and Python</li><li>Implement algorithms and simulations based on IEEE and research methodologies</li><li>Assist the R&amp;D team in building prototypes and technical solutions</li><li>Prepare research codes for PhD engineering projects</li><li>Research emerging tools, models, and frameworks as required</li></ul>Required Skills<ul><li>Strong knowledge in MATLAB or Python</li><li>Basics of ML/AI, Image Processing, Data Mining, or Signal/Communication Systems</li><li>Java exposure is an added advantage</li><li>Good communication, analytical thinking, and a willingness to learn independently</li><li>Real-time course certifications are a plus</li></ul>⭐ Training &amp; Commitment Policy<ul><li>Training Duration: 3 months (structured technical training will be given)</li><li>Commitment Period: 2 years after training, due to long-term R&amp;D project requirements</li><li>Document Requirement: Original certificates to be submitted for the duration of the agreement (standard policy).</li></ul>This policy ensures continuity and stability for project execution.Why Join Us?<ul><li>Structured training in MATLAB/Python development with AI/ML, Image Processing, and Data Mining Projects</li><li>Career growth path: Trainee &rarr; Software Engineer &rarr; Senior Software Engineer</li><li>Performance-based increments &amp; incentives</li><li>Work on impactful real-time academic &amp; industry research projects</li><li>Mentorship from experienced researchers</li></ul>How to ApplyEmail: softscholarshrd@gmail.com Walk-In: Monday to Friday, 10:00 AM &ndash; 12:00 PM Location: Gandhipuram, CoimbatoreJob Type: Full-timePay: ₹10,000.00 - ₹15,000.00 per monthAbility to commute/relocate:<ul><li>Gandhipuram, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you agreeing to the 2 years commitment with the company?</li><li>What is your expert Language? PYTHON OR MATLAB</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Language:<ul><li>Tamil and English (Required)</li></ul>Work Location: In person

R&D Software Engineer (MATLAB/Python)

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