generative ai specialist

American business solutions inc

<div><h2 class="jobSectionHeader"><b>Required Skills</b></h2>
<p>Undergraduate degree in computer science, data science, artificial intelligence or related field required.</p>
<p>1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria</p>
<p>2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms</p>
<p>2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.</p>
<p>1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.</p>
<p>1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.</p>
<p>1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.</p>
<p>1 year of hands-on experience integrating AI capabilities with Azure and AWS.</p>
<h2 class="jobSectionHeader"><b>Preferred Skills</b></h2>
<p>Background in a variety of programming languages and principals.</p>
<p>Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.</p>
<p>Experience with data tools and techniques for storing, retrieving, and cleaning data.</p></div>

Generative AI Engineer(Local to SC)

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data &amp; Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p>
<p></p><p>As a Machine Learning Scientist &ndash; Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.</p>
<p></p><p>Job responsibilities
</p><ul><li>Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
</li><li>Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
</li><li>Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
</li><li>Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
</li></ul><p></p><p>Required qualifications, capabilities, and skills</p>
<ul><li>PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
</li><li>Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
</li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
</li><li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
</li><li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
</li></ul><p></p><p>Preferred qualifications, capabilities, and skills
</p><ul><li>Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
</li><li>Knowledge in search/ranking or Meta Learning
</li><li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
</li><li>Published research in areas of Machine Learning or Deep Learning at a major conference or journal
</li></ul><p></p><p>#MLCOE_jobs</p>
<p>#CDAO_CAO_jobs</p>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence

Palm Hills Developments

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
  <strong>
   Reporting to the Director of Project Controls
  </strong>
  and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Identify and priorities high‑impact AI use cases for various functions and departments.
  </li>
  <li>
   Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
  </li>
  <li>
   Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
  </li>
  <li>
   Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
  </li>
  <li>
   Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
  </li>
  <li>
   Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
  </li>
  <li>
   Establish data‑privacy, model‑risk and ethical‑AI controls.
  </li>
  <li>
   Develop training programmes and user documentation; champion adoption across multiple business units.
  </li>
  <li>
   Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
  BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 </p>
 <p>
  <strong>
   Technical Toolkit:
  </strong>
 </p>
 <p>
  Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 </p>
 <p>
  Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 </p>
 <p>
  Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 </p>
 <p>
  Applied machine learning techniques on multiple projects
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
  : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <p>
  &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 </p>
 <p>
  &bull;AI‑related credentials
 </p>
 <p>
  <strong>
   Location:
  </strong>
  <strong>
   Head Office, 6th of October City, Giza, Egypt
  </strong>
 </p>
</div>


AI Solutions Engineer

United Placement Group

<div><p><b>AI Developer &mdash; SEO / GEO / AEO Marketing Specialist / Sarasota/Bradenton, Florida ON-SITE ONLY</b></p><p>
We're hiring an AI developer who lives at the intersection of code and search visibility. If you write fluent Python and you've been quietly mastering how content actually surfaces in 2026 &mdash; across Google, generative engines, and AI answer platforms &mdash; we want to talk to you.</p><p></p><p><b><br>
What you'll do:</b></p><p>
Build, deploy, and refine AI-driven tools that move the needle on traditional SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). You'll partner daily with our graphic designers, media producers, and a sharp bench of programmers to ship work that supports a portfolio of growing companies. The mission is simple: make sure our brands win the page, the prompt, and the answer.</p><p></p><p><b><br>
What we're looking for:</b></p><p>
Strong Python fundamentals are non-negotiable &mdash; APIs, automation, data pipelines, and AI/LLM integration should be second nature. Beyond that, we need genuine expertise across the modern search stack: technical SEO, structured data, content strategy tuned for generative engines, and the emerging craft of getting cited inside AI-generated answers. You should be comfortable measuring what works, iterating fast, and explaining your reasoning to teammates who don't share your specialty.</p><p></p><p><b><br>
Who you'll work with:</b></p><p>
A team of competitive, motivated professionals supporting a family of established Florida companies that depend on each other's excellence. The work is collaborative, the pace is real, and the bar is high.</p><p></p><p><b><br>
Where:</b></p><p>
On-site in the heart of University Park, Florida &mdash; one of the most beautiful corners of the <b>Sarasota region</b> to build a career.</p><p></p><p><b><br>
Compensation:</b></p><p>
Commensurate with skills and experience. Strong candidates will be paid like strong candidates.</p><p></p><p><br>
To apply, send your resume, a short note on what you've shipped, and links to anything you're proud of.</p></div><p></p>

AI Developer - SEO / GEO / AEO Marketing Specialist / On-Site Bradenton,

Dechert LLP

<p></p><div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div><b>ESSENTIAL JOB FUNCTIONS:</b>
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div><b>SKILLS:</b>
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div><b>INTERESTS:</b>
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div><b>EDUCATION AND EXPERIENCE:</b>
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
<br>
Key job responsibilities<br>
In this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will:<br>
<ul><li>Research and implement new algorithms and architectures for generative AI applications.</li><li>Optimize model performance and scalability for inference and deployment.</li><li>Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.</li><li>Experiment with SOTA methods to improve generative AI model quality.</li><li>Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>2+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Strong understanding of machine learning, deep learning, and generative AI principles and algorithms.</li><li>Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc.</li><li>Ability to work with large datasets and knowledge of data preprocessing techniques such as Hadoop, Spark etc..</li><li>Familiarity with natural language processing (NLP) and computer vision for generative AI applications.</li><li>Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams.</li><li>Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist (GenAI/LLM), Sandstone

HCLTech

Frisco, Texas
<br>Job Summary
<br><br>
The Generative AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.
<br><br>
Key Responsibilities
<br><br>
Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases.
<br><ul>
<li>Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance.</li>
<li>Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows.</li>
<li>Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation.</li>
<li>Implement responsible AI principles, including bias mitigation, explainability, and data governance.</li>
<li>Monitor model performance and continuously refine models through feedback loops and retraining.</li>
<li>Stay up to date with emerging trends in AI research, frameworks (e.g., LangChain, Hugging Face, OpenAI API), and open-source tools.</li>
<li>Contribute to internal knowledge sharing and best practices for scalable AI deployment.</li>
</ul>
Skill Requirements
<br><br>
o Proficiency in Python and frameworks such as PyTorch or TensorFlow.
<br><br>
o Experience in SQL, Machine Learning, Big Dat and other Databases.
<br><br>
o Experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and vector databases (Pinecone, FAISS, Weaviate).
<br>o Familiarity with prompt engineering, model fine-tuning, and reinforcement learning from human feedback (RLHF).
<br>o Strong understanding of NLP, deep learning, and data pipeline design.
<br>o Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment.
<br>o Strong problem-solving and analytical thinking.
<br><br>
Other Requirements
<br><br>
Certifications in GenAI or Agentic AI
<br><br>
<b>Maximum Salary (US):</b><b>Minimum Salary (US):</b><br>
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Platform Engineer I

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