ai researcher

LN Technologies

LN Technologies, a subsidiary of App Maisters Inc. USA, is an Enterprise App Development company that specializes in developing Mobility, Web, BI, and Cloud based solutions. With over 400 successful projects under our portfolio, we take pride in catering to the needs of all sizes and types of clients, from ambitious startups &amp; small businesses to large multinationals.We are looking for a passionate and self-driven Senior AI / ML Developer to join our growing team in Karachi. This is an exciting opportunity for individuals with a solid technical foundation who are eager to contribute to innovative AI-based solutions in a fast-paced startup environment.As part of our core development team, you will play a crucial role in the design, development, testing, and deployment of AI-driven applications. Ideal candidates should be comfortable working both independently and collaboratively, with a willingness to take ownership of key project components.Key Responsibilites:Moderate experience in Python:Proficiency in Python programming language.Demonstrated experience in developing and maintaining Python applications.Familiarity with Python libraries and frameworks commonly used in AI development.Proficiency in programming basics such as loops, conditional logic, file and package management:Solid understanding of fundamental programming concepts and logic.Ability to implement loops, conditional statements, and effectively manage files and packages.Experience with version control systems like Git would be advantageous.Knowledge of interacting with APIs, specifically OpenAI's APIs for embeddings and ChatGPT models:Familiarity with RESTful API principles and experience in integrating and consuming APIs.Understanding of OpenAI's APIs, including effective interaction with embeddings and ChatGPT models.Ability to handle authentication, error handling, and data parsing while working with APIs.Ability to work with various data formats including JSON, CSV, Parquet, and TXT:Proficiency in handling and processing data in different formats, such as JSON, CSV, Parquet, and TXT.Knowledge of data manipulation techniques, data cleaning, and data transformation using Python.Experience with libraries like Pandas for efficient data handling and manipulation.Familiarity with Command Line Interfaces and web apps for code testing:Understanding of Command Line Interfaces (CLI) and experience in working with CLI tools for code testing, debugging, and deployment.Knowledge of web application frameworks like Flask or Django for developing and testing code.Ability to build and deploy code in a web app environment for efficient testing and validation.Shift timings : *6pm to 3am*Job Type: Full-timeWork Location: In person

AI/ML Researcher (Night Shift)

Imec

<div></div><div><div><div><div><div>Research &amp; development - Doha | About a week ago</div><div><div>
Join imec's Falcon Research Center in Qatar as a Senior Researcher and pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms.
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society. 
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning, joining us as Senior Architect &ndash; Future Compute Platform!
What you will do
Join imec's Falcon Research Center in Qatar as a Senior Researcher at the intersection of artificial intelligence and computer architecture. You will pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms, working on cutting-edge RISC-V based architectures for HPC and Mobile SoC applications. 
 
In this highly collaborative role, you'll bridge the worlds of machine learning and chip design, developing AI-assisted tools and methodologies that accelerate architecture exploration, optimize design decisions, and validate performance. Working alongside computer architects, chip designers, and software engineers, you'll translate research innovations into practical tools and frameworks that push the boundaries of what's possible in compute platform design.<ul><li>
Research &amp; Technical Leadership 
<ul><li>
Lead research initiatives applying AI/ML to computer architecture design space exploration</li><li>
Develop and implement AI-assisted methodologies for architecture optimization, performance prediction, and design validation</li><li>
Define technical direction for projects in collaboration with Compute Research and AI leadership</li><li>
Guide the team in achieving key milestones of the Compute Research roadmap</li></ul></li><li>
Hands-On Development &amp; Implementation 
<ul><li>
Design and implement AI models for architecture performance prediction, workload characterization, and design space exploration</li><li>
Develop surrogate models and optimization frameworks for rapid architecture evaluation</li><li>
Build tools and frameworks enabling heterogeneous compute platform design and validation</li><li>
Contribute to the reference architecture implementation, integrating AI-assisted design flows</li><li>
Take proof-of-concepts through to working prototypes and demonstration systems</li></ul></li><li>
Collaboration &amp; Mentorship 
<ul><li>
Work in a multidisciplinary team spanning ML researchers, computer architects, and chip designers</li><li>
Provide technical guidance and mentorship to team members on AI/ML methodologies</li><li>
Foster knowledge exchange between AI and hardware design domains</li><li>
Lead by example through hands-on contributions and collaborative problem-solving</li></ul></li><li>
Scientific Contribution 
<ul><li>
Publish research findings in top-tier ML and computer architecture venues</li><li>
Present work at international conferences and technical workshops</li><li>
Contribute to open-source tools and frameworks in the AI-assisted design community</li><li>
Stay current with state-of-the-art in both AI/ML and computer architecture research</li></ul></li></ul>
You will be part of imec, and that means&hellip;

You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will build a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.
Who you are
Required skills<ul><li>
PhD in Computer Science, Electrical Engineering, Machine Learning, or related STEM field (or MSc with 8+ years equivalent experience)</li><li>
5+ years of experience in applied research and/or development of AI/ML applications</li><li>
Deep expertise in one or more of the following:</li><li>
Reinforcement Learning for design optimization</li><li>
Bayesian Optimization and hyperparameter tuning</li><li>
Graph Neural Networks for hardware representation</li><li>
Surrogate modeling and transfer learning</li><li>
Agentic AI systems and multi-agent frameworks</li><li>
Strong scientific programming skills with demonstrated ability to write clean, maintainable, production-quality code</li><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)</li><li>
Experience with version control (Git), code review practices, and collaborative development workflows</li><li>
Excellent documentation skills and commitment to reproducible research</li><li>
Proven ability to work effectively in multidisciplinary teams</li><li>
Strong communication skills in English, both written and verbal</li><li>
Familiarity or experience with R&amp;D of SoC Architectures and ASICs Design is a big plus.</li></ul> 
Preferred<ul><li>
Experience leading ML teams in research or development environments</li><li>
Familiarity with computer architecture concepts, design space exploration, or performance modeling</li><li>
Background in SoC architecture design, ASIC development, or hardware-software co-design</li><li>
Knowledge of RISC-V ISA or other processor architectures</li><li>
Experience with:</li><li>
Architecture simulators (gem5, Sniper, or similar)</li><li>
Hardware description languages (Verilog, Chisel)</li><li>
EDA tools and ASIC design flows</li><li>
High-performance computing or parallel computing</li><li>
Track record of publications at premier venues (NeurIPS, ICML, ICLR, ISCA, MICRO, DAC, ICCAD)</li><li>
Contributions to open-source ML or hardware design tools</li><li>
Experience working in international, multicultural research environments</li></ul>
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</div></div></div></div></div></div>

Senior Architect – Future Compute Platform

University of Wollongong in Dubai

<div>
 
 
 About UOWD
 
 
 
 Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
 
 
 University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
 
 
 
 
 
 The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
 
 
 
 
 
 Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.
 
 
 
 
 
 
 *QS World University Rankings 2023
 
 
 
 
 **Data from the Graduate Destination Survey 2017 to 2020
 
 
 
 
 
 
 
 About the School
 
 
 
 The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the January 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.
 
 
 
 
 
 The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.
 
 
 
 
 
 
 Requirements &amp; Responsibilities
 
 
 
 We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university.
 
 The position is offered at the Assistant Professor level
 
 , according to experience and qualification. It is a full-time position that requires the holder to contribute to the School&rsquo;s teaching, research and governance activities.
 
 
 
 
 
 The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.
 
 
 
 
 
 The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master&rsquo;s level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations, and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.
 
 
 
 
 
 As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 To qualify for the above role, candidate must have the following qualifications and experience
 
 
 &bull; PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution
 
 
 &bull; At least 4 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.
 
 
 &bull; Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.
 
 
 &bull; Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus
 
 
 &bull; An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science
 
 
 &bull; Fluency in the English language (both spoken and written)
 
 
 &bull; Excellent communication skills
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 &bull; Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems
 
 
 &bull; Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world
 
 
 &bull; Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.
 
 
 &bull; Working knowledge of Relational and Cloud databases
 
 
 &bull; Experience with Hadoop, HBase, Spark and other Big data management technologies
 
 
 &bull; Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).
 
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 
 The successful candidate will enjoy interaction with a professional and dynamic team of highly respected educators from over 50 different countries and exposure to students from over 100 nationalities.
 
 
 
 
 
 The University offers an expatriate package, which is an attractive tax-free salary. The expatriate package includes six weeks of paid leave per year, annual flight allowance and private medical insurance for the employee and eligible dependents, life and disability insurance, and education allowance for dependents. The University is located in Knowledge Park, Dubai and has excellent teaching, learning and research facilities as well as access to Library resources that meets international standards.
 
 
 
 
 
 
 UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.
 
 
</div>

Assistant Professor - Computer Science (AI & Big Data)

black.ai

At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents. By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes. An Exciting Time to Join Sonder! Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale. Our impact and scale: <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing! Role Summary Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety. This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles. We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members. We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact. Key Responsibilities <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> Key Qualifications <ul> <li>A recently completed PhD or Postdoctoral experience in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role. Nice to Have <ul> <li>Experience with distributed training techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., AWS, GCP).</li> <li>A track record of peer reviewed publications in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> Eligibility <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> Impact & Growth Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world. Why Join Sonder? At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day. <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> Check out our life page for more info - Sonder is for Everyone We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you. Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

Uber AI Solutions

Uber AI Solutions is Uber's new marketplace connecting freelancers with Generative AI researchers. We're inviting experienced domain professionals to collaborate on a new client project at the frontier of GenAI. This is a freelance, paid, project-based opportunity - remote, flexible, and designed for experienced professionals who want to apply their expertise in finance, engineering, physics, chemistry, or medicine to advance Generative AI systems. Project details Duration: Tasks for this project are expected to be available for 3 months (with potential extensions). You'll retain flexibility to accept tasks of your choice. Location: Remote (You must be based in the United States) Payout structure: Task-based pay model. Competitive rates per completed task, determined by the complexity and required experience. Type: Freelance / Independent contractor. Why this matters Your expertise may help train and evaluate the next generation of Generative AI systems. By shaping the data and benchmarks these models rely on, you'll help ensure that Generative AI is accurate, reliable, and aligned with the standards of your field. This is a unique opportunity to apply your domain knowledge at the cutting edge of technology. Contact email

Freelance STEM Prompt Generation Professional

Zoetis

<div><div>POSITION SUMMARY</div><div> 
Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock. 
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.</div><div></div><div>
At Zoetis India Capability Center (ZICC) in Hyderabad, we are advancing applied AI research&mdash;turning cutting-edge AI methods into production-grade solutions. As an Applied AI Scientist, you will bridge the gap between research and application by developing, fine-tuning, and deploying AI models for real-world use cases such as intelligent assistants, predictive analytics, and process automation. 
You will work at the intersection of machine learning research, software engineering, and domain expertise&mdash;collaborating with global teams to design AI systems that deliver measurable business value and enhance the quality of life for animals and the people who care for them.</div><div></div><div>
POSITION RESPONSIBILITIES</div><div>
 Percent of Time</div><div> 
AI Model Development &amp; Integration: 
Research, design, and implement AI/ML models, with a focus on statistical process control, anomaly detection, process optimization, LLMs, NLP, and RAG pipelines 
Fine-tune and adapt pre-trained models for Zoetis-specific use cases. 
Integrate AI models into production environments using APIs and scalable back-end architectures. 
Work with IoT data streams from automation equipment to enable real-time analytics and decision support.</div><div></div><div>
Experimentation &amp; Problem-Solving: 
Conduct experiments to evaluate model performance, interpretability, and robustness. 
Apply strong problem-solving skills to address complex AI challenges in real-world settings. 
Troubleshoot model integration issues and optimize performance to meet SLA guidelines.</div><div></div><div>
Deployment &amp; Maintenance: 
Deploy AI models and services to production using MLOps best practices. 
Monitor AI system performance, ensuring scalability, reliability, and compliance. 
Implement continuous improvements based on business needs and user feedback.</div><div></div><div>
Collaboration &amp; Knowledge Sharing: 
Work closely with data scientists, engineers, and product managers to align AI solutions with business objectives. 
Participate in peer reviews of code, model architectures, and experimental design. 
Present research findings, prototypes, and AI strategy recommendations to stakeholders.</div><div></div><div>
Continuous Learning &amp; Innovation: 
Stay current with advancements in AI/ML research, frameworks, and tools. 
Experiment with emerging AI technologies to explore innovative applications for Zoetis. 
Mentor junior team members on AI development and applied research best practices 
Research, prototype, and evaluate AI/ML models for Zoetis use cases 30% 
Fine-tune LLMs and implement RAG pipelines for domain-specific applications 25% 
Collaborate with engineers to integrate AI models into scalable production systems 20% 
Conduct experiments, benchmark models, and analyze performance metrics 15% 
Publish internal research findings, present solutions, and contribute to AI strategy 10%</div><div></div><div>
ORGANIZATIONAL RELATIONSHIPS</div><div>
Partner with business leaders to identify opportunities for AI adoption and automation. 
Work closely with data scientists to integrate models into production environments. 
Coordinate with DevOps, cloud engineering, and security teams to ensure AI applications meet compliance and performance standards. 
Mentor and guide junior engineers to upskill in AI and full-stack development.</div><div> 
EDUCATION AND EXPERIENCE</div><div>
Master&rsquo;s degree in computer science, engineering, physics or related field.</div><div>
Experience: 
<ul><li>1.5&ndash;6.5 years of hands-on experience in AI/ML, with a strong track record of developing and deploying analytics solutions in production environments</li><li>Advanced proficiency in Python (PyTorch, TensorFlow, machine learning libraries), R (tidyverse, shiny, statistical/machine learning packages), and SQL for data analysis, modeling, and visualization</li><li>Applied expertise in statistical process control (SPC), design of experiments (DOE), Six Sigma methodologies, and root cause analysis to drive process improvement and quality assurance</li><li>Familiarity with manufacturing data sources such as SCADA platforms, PLCs, and data historians and analysis concepts from these data streams (IoT, time series analysis, real-time data processing, and multivariate process monitoring for manufacturing applications)</li><li>Proficient in MLOps practices for deploying, monitoring, and maintaining models in production environments</li><li>Experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP Vertex AI)</li><li>Skilled in source control and collaborative development using Git and GitHub Enterprise</li><li>Familiarity with natural language processing (NLP), large language model (LLM) fine-tuning, retrieval-augmented generation (RAG) architectures, and vector databases</li></ul></div><div></div><div>
TECHNICAL SKILLS REQUIREMENTS 
Indicate the technical skills required and/or preferred, as applicable. 
<ul><li>ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.</li><li> EDA/Visualization frameworks: rmarkdown, ggplot2, shiny</li><li>Specialization Areas: SPC, DOE, Anomaly detection, NLP, LLM fine-tuning, Prompt Engineering, RAG pipelines.</li><li>Data Tools: Pandas, NumPy, Scikit-learn, tidyverse, Vector Databases (Pinecone, Weaviate, FAISS).</li><li>Databases: PostgreSQL, SQL, NoSQL.</li><li>Programming Languages: Python, SQL, optionally C++/Rust for performance-critical components.</li></ul></div><div></div><div>
PHYSICAL POSITION REQUIREMENTS 
Regular working hours are from 11 AM to 8:00 PM IST. 
Sometimes, more overlap with the EST Time zone is required during production go-live. 
Full time</div> 
<div></div>
Full time</div>

Data Scientist Tech & Digital Hyderabad India JR00019818

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

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