ai/ml lead

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

Principal AI Architect – GenAI, LLMs & AI Agents

AI Architect – GenAI, LLMs & AI Agents

Senior AI Architect - GenAI, LLMs & AI Agents

Amgen

<div>The AI/ML Lead will head Amgen&rsquo;s AI/ML practice within the Innovation Lab, driving the development, validation, and deployment of machine learning and GenAI solutions across R&amp;D, Manufacturing, and Commercial domains.
This role requires strong technical depth, leadership skills, and a deep understanding of responsible AI frameworks within regulated environments. 
Key Responsibilities<ul><li>
Lead AI/ML strategy and implementation across multiple PoDs in the Innovation Lab.</li><li>
Translate Amgen&rsquo;s business objectives into data-driven AI/ML initiatives.</li><li>
Define architecture, standards, and best practices for model design, training, and validation.</li><li>
Oversee MLOps and CI/CD integration to enable scalable model deployment.</li><li>
Guide the team on data preparation, feature engineering, and experimentation.</li><li>
Review and approve model validation reports, metrics, and explainability artifacts.</li><li>
Ensure compliance with Responsible AI, GxP, and privacy frameworks.</li><li>
Collaborate with SMEs and Data Governance leads to align models with business and ethical objectives.</li><li>
Mentor engineers, fostering innovation and technical excellence.</li></ul>
Required Qualifications<ul><li>
10&ndash;15 years of experience in data science or machine learning engineering.</li><li>
Proven leadership in AI/ML project delivery and technical governance.</li><li>
Expertise in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.</li><li>
Experience with MLOps, MLflow, Databricks, and AWS SageMaker.</li><li>
Strong grounding in model lifecycle management and validation documentation.</li><li>
Excellent analytical, communication, and cross-functional collaboration skills.</li></ul>
Preferred Skills<ul><li>
Experience with GenAI / LLM architectures (LangChain, OpenAI APIs, Hugging Face).</li><li>
Prior exposure to pharma, biotech, or life sciences R&amp;D.</li><li>
Certification in Machine Learning / Data Science / AWS AI Specialist.</li><li>
Familiarity with data privacy regulations (HIPAA, GDPR) and ethical AI standards.</li></ul></div>

Principal Machine Learning Engineer

Finaira

<div>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
The difference you will make:<ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul> 

Requirements 
Education:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul>
Experience:<ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul>
Technical Skills:
<ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul>
Soft Skills:<ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Data Scientist

Liquid Technologies

Job Title: Senior AI/ML EngineerLocation: Karachi (On-site) Department: Artificial Intelligence / Data ScienceJob SummaryWe are seeking an experienced and innovative Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, NLP, computer vision, and large-scale ML systems, with a passion for applying AI to solve complex real-world problems.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end ML pipelines (data preprocessing, model training, evaluation, deployment).</li><li>Lead R&amp;D in deep learning, NLP, computer vision, and generative AI to build state-of-the-art solutions.</li><li>Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.</li><li>Conduct experiments, analyze results, and present insights to stakeholders.</li><li>Stay updated with the latest advancements in AI/ML and evaluate their applicability.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Data Science, or related field (PhD preferred).</li><li>4+ years of experience in AI/ML model development and deployment.</li><li>Strong programming skills in Python with libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>Expertise in one or more areas: NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li><li>Strong background in data structures, algorithms, and mathematics for ML.</li><li>Proven track record of deploying ML models into production environments.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you hold a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field?</li><li>Do you have hands-on experience with Python libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face?</li><li>Have you used MLOps tools such as MLflow, Kubeflow, Docker, or Kubernetes?</li><li>Have you deployed ML models into production environments?</li><li>Do you have expertise in at least one of the following: NLP, Computer Vision, Generative AI, RAG pipelines, or LLM fine-tuning?</li><li>Have you worked with cloud platforms (AWS, GCP, or Azure) for ML deployment?</li><li>Can you manager commute to Zamzama Phase V?</li><li>What is your current salary in PKR?</li><li>What will be your expected salary in PKR?</li></ul>Work Location: In person

Sr. AI/ML Engineer

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

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