artificial intelligence engineer

Bridging Technology

<p><b>Bridging Technologies is hiring for AI Engineer:</b></p><p>Experience: 2-5 years of experience</p><p>Location: Mohali</p><p><b>Job Description:-</b></p><p>We are seeking an experienced <b>AI Engineer</b> to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like <b>OpenAI, LangChain, or Hugging Face</b>, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers.</p><p><b>Responsibilities:-</b></p><ul><li>Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques.</li><li>Integrate solutions using tools such as OpenAI, vector databases (e.g., Pinecone, FAISS), and generative AI frameworks like LangChain or Hugging Face.</li><li>Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows.</li><li>Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product.</li><li>Continuously optimize AI models and pipelines for performance, scalability, and accuracy.</li></ul><p><b>Requirements:</b></p><ul><li>3&ndash;5 years of experience in AI/ML-focused software development</li><li>Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI</li><li>Strong problem-solving abilities and solid understanding of system architecture and design</li><li>Excellent communication and collaboration skills</li><li>Must be able to work full-time from our office location (this is not a remote role).</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;30,000.00 - &#8377;80,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Artificial Intelligence: 2 years (Preferred)</li></ul><p>Work Location: In person</p>

Artificial Intelligence Engineer

Sofstica

<p><b>About Us</b></p><p>At <b>Sofstica</b>, we&rsquo;re at the forefront of pioneering AI-driven solutions that revolutionize industries. As part of our <i>AI-first</i>engineering revolution, we&rsquo;re seeking versatile AI Engineers who excel in building intelligent agents and thrive in end-to-end product development. If you&rsquo;re passionate about solving complex problems with code, data structures, and cutting-edge AI frameworks, join us to shape the future of technology.</p><p><b>Key Responsibilities</b></p><ul><li><b>AI Agent Development:</b></li><li>Design and implement advanced AI agents using <b>Python, LangChain, LangGraph</b>, and modern frameworks for reasoning, decision-making, and workflow orchestration.</li><li><b>Full-Stack Integration:</b></li><li>Build scalable backend services with <b>Java SpringBoot</b>, intuitive frontends with <b>Next.js</b>, and mobile apps with <b>Flutter</b> to deliver AI-powered products.</li><li><b>Deployment &amp; Scalability:</b></li><li>Deploy and maintain AI models in production environments.</li><li><b>Cross-Team Collaboration:</b></li><li>Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.</li></ul><p><b>Qualifications</b></p><ul><li><b>Technical Expertise:</b></li><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building <b>AI agents, RAG pipelines, or autonomous systems</b> with frameworks like LangChain/LangGraph.</li><li>Solid understanding of <b>data structures, algorithms, and system design</b> for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using <b>Java SpringBoot</b> (REST APIs, microservices, database integration).</li><li><b>Mindset:</b></li><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

Institute for Humane Studies

<p></p><div><div><div>Job Description</div></div><div>
Posted Monday, September 15, 2025, 11:00 PM</div><div><div><div><div><div><b>
Disclaimer:</b></div>
<div>
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Remote positions at the Institute for Humane Studies (IHS) require travel to our Arlington, VA office for two in-person team gatherings each year.</div></div></div><div></div><div><div><div><b><br>
Job Summary:</b></div>
<div>
The Artificial Intelligence (AI) Engineer is responsible for integrating cloud-based AI technologies into the Institute for Humane Studies' (IHS) strategic plans. Reporting to the Managing Director of IT, the Engineer is charged with designing, creating, and maintaining secure, optimized, and cost-effective cloud-based AI/ML systems for analytics and operations. Additionally, this individual will help develop best practices for using cloud technology in AI/ML.</div><br>
<div></div>
<div><b>
Supervisory Responsibilities:</b></div>
<ul>
<li>None.</li></ul><br>
<div></div>
<div><b>
Duties/Responsibilities:</b></div>
<ul>
<li>Maintain and optimize existing AI/ML cloud architecture in AWS.</li>
<li>Maintain and optimize existing data infrastructure, including RDS PostGres database, PGVector database, and planning for future graph databases.</li>
<li>Stay up to date on AI developments and how new AI technologies can be used to create custom solutions that advance the mission of IHS.
</li><li>Provide relevant training, such as prompt engineering, to better AI/ML integration and utilization amongst IHS staff.
<ul><li>Serve as subject matter expert (SME) to triage concerns, issues, and/or difficulty during staff execution of provided tools.</li>
</ul></li><li>Monitor cloud expenses to ensure cost-effectiveness and make recommendations for cost-saving strategies across the entire organization&rsquo;s cloud infrastructure.</li>
<li>Assist in the development of strategies to foster technical innovation in creating opportunities with partners to own well-placed technical AI/ML tools.</li><br>
</ul>
<div></div><div><b>Required Skills/Qualifications:</b></div>
<ul>
<li>5+ years of experience in cloud engineering, preferably in AWS.</li>
<li>Proven experience and success in a customer-facing role.</li>
<li>Strong knowledge of databases, including the database engines and hosting option in AWS.
<ul><li>RDS PostGres database and PGVector database highly preferred.</li>
</ul></li><li>Experience with AI and machine learning technologies, matched by experience with integrating these technologies into cloud systems.</li>
<li>Excellent interpersonal, collaborative, relationship building, and communication skills, both verbally and in writing.
<ul><li>Demonstrable ability to discuss, teach, and inform non-technical individuals of relevant and applicable topics and functions related to the cloud, AI, and other forms of technology.</li>
</ul></li><li>Knowledge of and appreciation for the classical liberal tradition.</li>
</ul></div></div><div><div><div><b>
To apply, qualified candidates must submit the following materials:</b></div>
<ul>
<li>Resume</li>
<li>Cover letter detailing your interest in this position and why the IHS mission resonates with you.</li></ul><br>
<div></div>
<div><b>
EEO Statement:</b></div>
<div>
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.</div><br>
<div></div>
<div><b>
About IHS:</b></div>
<div>
The Institute for Humane Studies (IHS) is a <i>think network </i>advancing the principles and practices of freedom in the academy, public policy, and civil society.</div><br>
<div></div>
<div>
Founded in 1961, IHS believes that the liberal tradition has yielded unprecedented freedom and human flourishing. And in this moment, when the forces of illiberalism on both the left and right are gaining ground at an alarming pace, our vision is to spark a new spirit of liberal freedom.</div><br>
<div><b>
Our Work:</b></div>
<ul>
<li>Cultivating a pool of intellectual talent for partners in policy, civil society, philanthropy, and the academy through $1.5 million in fellowship and career development programs.</li>
<li>Catalyzing scholarship and academic networks to strengthen the fields of foundational and applied research that matter most to a free society.</li>
<li>Equipping<i> </i>freedom-focused research centers, think tanks, foundations, and civil society organizations with the research and experts they need to maximize their impact in policy and in communities across the country.</li></ul><br>
<div></div>
<div><b>
IHS Benefits:</b></div>
<div>
We have a flexible, professional, open office environment that encourages innovation and entrepreneurship and provides substantial opportunity for professional growth. Salary is competitive and will be commensurate with experience. IHS provides exceptional benefits to all employees, including health and dental insurance coverage (which includes paying 100% of the health and dental insurance premium for individuals), health savings accounts, long-term disability and life insurance, a 403(b) retirement savings program, a parking permit and 12 free tuition credit hours annually atGeorge Mason University.</div></div></div></div></div><div><div><div><p>
Job Details</p></div><div><div><div><div><div><div><div><div><div>
Pay Type</div><div><b>
Salary</b></div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><br>
</div></div></div></div></div></div><div></div><div><div><div><div><div>
Metropolitan Building, 3434 Washington Blvd, Arlington, VA 22201, USA</div></div></div></div></div></div>

Artificial Intelligence Engineer (Remote)

Brickslogix

<p>We are seeking a highly motivated <b>AI/ML Engineers </b>to join our growing technology team. The ideal candidate will have a strong foundation in <b>machine learning, artificial intelligence, data processing, and algorithm development</b>. This role will involve building intelligent systems, analyzing datasets, and implementing cutting-edge AI solutions to support our software and product development initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy <b>machine learning models and AI solutions</b>.</li><li>Preprocess, clean, and analyze large datasets to extract insights.</li><li>Build and optimize <b>predictive models, recommendation systems, chatbots, and other AI-driven features</b>.</li><li>Conduct <b>research</b> on emerging AI/ML technologies and frameworks to enhance solutions.</li><li>Collaborate with software engineers to integrate AI/ML solutions into applications.</li><li>Fine-tune existing models for <b>accuracy, scalability, and performance</b>.</li><li>Work with cloud-based ML platforms (AWS, Azure, GCP) for model deployment.</li><li>Document processes, models, and findings for internal and client use.</li><li>Assist in designing <b>proof-of-concepts (POCs)</b> for AI-driven business solutions.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>1-3 years of experience in AI/ML experience.</li><li>Strong understanding of <b>machine learning algorithms, deep learning, and data science principles</b>.</li><li>Proficiency in <b>Python, R, or other ML programming languages</b>.</li><li>Experience with ML frameworks such as <b>TensorFlow, PyTorch, Scikit-learn, Keras</b>.</li><li>Familiarity with <b>data visualization tools</b> (Matplotlib, Seaborn, Power BI, Tableau).</li><li>Knowledge of <b>NLP, computer vision, or reinforcement learning</b> is a plus.</li><li>Experience with <b>cloud AI/ML services</b> (AWS SageMaker, Azure ML, Google AI).</li><li>Strong analytical, problem-solving, and mathematical skills.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Machine Learning & Artificial Intelligence Engineer

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><p><b>How will you make an impact in this role?
</b></p><p>The Data Analytics Solutions &ndash; Emerging Technologies team is seeking a highly skilled and visionary Senior Engineer &ndash; Artificial Intelligence to design and deliver advanced AI solutions that address complex challenges in Technology Risk and Information Security.
</p><p>This role is pivotal in driving our mission to build intelligent, secure, and adaptive systems leveraging Generative AI, Agentic AI, and Classical Machine Learning. You'll be part of a forward-looking team that thrives on rapid experimentation, bold ideas, and transforming innovation into real-world, production-ready applications that shape the future of cybersecurity.
</p><p>If you're an AI innovator who thrives at the cutting edge, this is your opportunity to turn breakthrough ideas into lasting impact.
</p><p><b>Key Responsibilities:
</b></p><ul><li>Design and deploy AI applications powered by Large Language Models (LLMs), RAG, and agentic frameworks such as LangChain, LangGraph, or AutoGen.
</li><li>Implement classical ML models (e.g., classification, clustering, anomaly detection, NLP) and advanced statistical models to support predictive and prescriptive analytics.
</li><li>Build scalable, cloud-native pipelines for model training, evaluation, deployment, and monitoring.
</li><li>Translate complex cybersecurity and technology risk use cases into practical, scalable AI products &mdash; including dashboards, APIs, and autonomous agents.
</li><li>Evaluate AI models and systems across modalities using rigorous metrics &mdash; including accuracy, latency, robustness, explainability, and fairness &mdash; to ensure real-world performance.
</li><li>Ensure adherence to enterprise standards for model governance, security, and responsible AI.
</li><li>Collaborate closely with data scientists, engineers, and cybersecurity stakeholders to deliver AI-driven capabilities that drive measurable business value.
</li><li>Lead a culture of continuous innovation, promoting rapid prototyping and iterative experimentation.
</li><li>Contribute to ongoing optimization of platforms, tools, and practices for safer, faster, and more efficient AI product delivery.
</li></ul><p><b>Requirements &amp; Skills:
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Statistics, Engineering, Mathematics, or a related field; Master&rsquo;s degree preferred.
</li><li>Minimum 5 years of experience designing, developing, and deploying AI/ML solutions in production environments.
</li><li>Deep hands-on expertise in Generative AI, LLMs, and building autonomous agent-based systems.
</li><li>Strong foundation in classical ML algorithms such as regression, clustering, decision trees, NLP, and probabilistic models.
</li><li>Demonstrated experience in evaluating AI systems across GenAI, Agentic AI, and classical ML using clear, measurable metrics.
</li><li>Knowledge of model lifecycle management, model governance protocols, and MLOps best practices.
</li><li>A solution-oriented mindset with the ability to execute quickly and responsibly in complex environments.
</li><li>Domain experience in Cybersecurity or Technology Risk is a strong advantage but not required.
 </li></ul><p><b>Technical Experience:
</b></p><p>Hands-on experience with most of the following tools, frameworks, and technologies is expected:
</p><p><b>Development &amp; Libraries
</b></p><ul><li>Python, Jupyter Notebooks, VS Code, PyCharm, Github Copilot
</li><li>PyTorch, TensorFlow, scikit-learn
</li><li>Vector databases: pgVector, Milvus
</li></ul><p><b>Generative &amp; Agentic AI
</b></p><ul><li>Hugging Face Transformers
</li><li>LangChain, LangGraph, AutoGen
</li></ul><p><b>Orchestration &amp; Model Serving
</b></p><ul><li>Argo Workflows, Kubeflow Pipelines, MLRun
</li><li>vLLM, Triton Inference Server
</li></ul><p><b>Containers &amp; CI/CD
</b></p><ul><li>Docker, Kubernetes
</li><li>Jenkins, XL Release
</li></ul><p><b>Data &amp; Observability
</b></p><ul><li>SQL, NoSQL, Spark, Dask, Apache Kafka, Apache NiFi
</li><li>Elasticsearch, Kibana, Prometheus
</li></ul><p><b>APIs &amp; Deployment
</b></p><ul><li>RESTful API and web application development
</li><li>Experience with cloud platforms: AWS, Azure, or Google Cloud
</li></ul><p>Salary Range: $123,000.00 to $190,000.00 annually + bonus + benefits
</p><p>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</p><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
</p><p>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
</p><p>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster</p></div>

Senior Artificial Intelligence Engineer

Allied Solutions

<div>As the organization's Artificial Intelligence (AI) subject matter expert, the Senior AI Engineer is a strategic technical leader committed to shaping the AI vision and its execution. This pivotal role is focused on architecting AI systems that seamlessly integrate across the company, pioneering innovative AI advancements, advocating the strategic use of AI, and designing sustainable, future-ready AI solutions.
<p></p><p><b>Job Duties and Responsibilities:
</b></p><p></p><p>Technical Advancement (20%)
</p><ul><li>Regularly review the latest AI research, tools, and technologies to assess their applicability to current organizational challenges.
</li><li>Test and pilot new AI frameworks or algorithms that could enhance current systems.
</li><li>Upgrade existing AI systems with state-of-the-art technology to improve efficiency and performance.
</li></ul><p></p><p>Innovation Leadership (20%)
</p><ul><li>Lead R&amp;D initiatives for AI, encouraging experimentation and the pursuit of innovative solutions.
</li><li>Cultivate a team culture that values creativity and continuous learning in AI.
</li><li>Partner with academic or industry groups on collaborative projects that push the boundaries of current AI capabilities.
</li></ul><p></p><p>Futureproofing (20%)
</p><ul><li>Design AI solutions with scalability in mind, anticipating future expansions or changes in technology.
</li><li>Implement standards and frameworks that ensure AI solutions are adaptable to new regulations, technologies, and business needs.
</li><li>Conduct foresight exercises with the team to anticipate future AI trends and prepare the organization accordingly.
</li></ul><p></p><p>Systems Integration (15%)
</p><ul><li>Evaluate and map out existing IT infrastructure and AI applications to identify integration points and potential gaps.
</li><li>Develop integration plans and oversee the implementation to ensure seamless communication between AI systems and other enterprise solutions.
</li><li>Coordinate with IT teams to ensure that AI tools are compatible with existing databases, software, and hardware.
</li></ul><p></p><p>Strategic Utilization (15%)
</p><ul><li>Work with business leaders to identify opportunities for AI to add value and meet strategic goals.
</li><li>Guide the AI team in setting priorities and choosing the most impactful AI projects.
</li><li>Develop best practices for the deployment of AI models to maximize their effectiveness.
</li></ul><p></p><p>AI Advocacy (10%)
</p><ul><li>Organize workshops and training sessions to build AI literacy within the company.
</li><li>Present on AI topics to internal and external audiences to raise awareness and demonstrate the company&rsquo;s AI capabilities.
</li><li>Publish articles, blog posts, or white papers on the organization's AI innovations and insights.
</li></ul><p></p><p><b>Qualifications (Education, Experience, Certifications &amp; KSA):
</b></p><ul><li>Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, or a related field required.
</li><li>Master&rsquo;s degree in a related field preferred.
</li><li>Relevant work experience may be considered as an equivalent to education requirement.
</li><li>A minimum of 5 years of experience in AI or related technical areas, with at least 2 years in a leadership capacity.
</li><li>Proven track record in developing and executing sophisticated AI models and systems.
</li><li>Familiarity with cloud services like AWS, Azure, and Google Cloud.
</li><li>Robust understanding of AI, machine learning, and deep learning paradigms.
</li><li>Demonstrated leadership in AI project management and strategic implementation.
</li><li>Effective team leadership skills with an ability to mentor and inspire.
</li><li>Proficiency in programming languages and AI-related frameworks.
</li><li>Experience with systems architecture and large-scale integration.
</li><li>In-depth knowledge of AI ethics and responsible AI frameworks.
</li><li>Adaptability in fast-paced and evolving tech landscapes.
</li><li>Excellent independent and collaborative working abilities.
</li><li>Strong time management skills with a proven ability to meet critical deadlines.
</li>Strategic and tactical thinking capabilities.<br>
<li>
</li></ul><p><br>
#LI-ID1<br>
<br>
</p><p><i>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
</i></p><p></p><p>We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
<br>
<br>
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p></div><p></p>

Senior Artificial Intelligence Engineer (On-Site, IN)

TAWANTECH

<div><h3 class="jobSectionHeader"><b>Job Overview:</b></h3><p>
We are seeking an experienced <b>AI Engineer</b> to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.
</li><li>Work with structured and unstructured data from various sources.
</li><li>Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
</li><li>Continuously evaluate and improve AI models based on performance metrics.
</li><li>Ensure compliance with data privacy, security, and regulatory standards.
</li><li>Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders.</li>
</ul><p><b>Requirements</b></p><h3 class="jobSectionHeader"><b>
Required Qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
</li><li>5&ndash;7 years of experience in AI/ML development and deployment.
</li><li>Proficiency in <b>Python</b> and ML libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Keras</b>.
</li><li>Experience with <b>NLP, Computer Vision, or Predictive Analytics</b> in real-world projects.
</li><li>Familiarity with <b>MLOps</b> tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
</li><li>Strong understanding of <b>data pipelines</b>, model lifecycle management, and model versioning.
</li><li>Experience working with cloud platforms such as <b>AWS, Azure, or GCP</b>.</li></ul></div>

Artificial Intelligence (AI) Engineer

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