ai/ml engineer

NS IT Solutions

Role: AI/ML Engineer with Gemini Enterprise 
Location: 100% Remote 
Duration: 12+ Months 

 
NOTE: Candidate must be very strong with Gemini Enterprise and should have end to end experience. 

 
Job Summary: 
We are seeking a high-caliber Senior AI/ML Engineer to lead the development and integration of advanced Generative AI solutions. The ideal candidate must possess expert-level proficiency in the Gemini Enterprise ecosystem (Vertex AI) and a proven track record of deploying production-grade LLM applications. You will be responsible for architecting scalable AI systems, optimizing model performance, and ensuring enterprise-grade security and reliability. 
 
Responsibilities: 
Gemini Implementation: Design and deploy end-to-end solutions using Gemini within the Google Cloud Vertex AI environment. 
RAG Architecture: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources and vector databases. 
Model Tuning: Perform supervised fine-tuning and utilize advanced prompt engineering techniques to align Gemini models with specific business logic. 
Performance Optimization: Monitor, evaluate, and iterate on model latency, throughput, and accuracy. 
Security &amp; Compliance: Implement enterprise-grade safety filters, grounding techniques, and data privacy protocols inherent to Gemini Enterprise. 
 
Requirements: 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 
Minimum of 5 years in an ML-focused role, with at least 1-2 years dedicated to Generative AI and LLM deployment. 
Google Cloud Professional ML Engineer certification is a significant plus. 
 
Gemini Enterprise (Critical) 
Deep experience with Vertex AI Studio, Model Garden, and Vertex AI Search/Conversation. 
Proficiency in leveraging Gemini&rsquo;s multimodal capabilities (Text, Image, Video, Audio) and long-context windows (up to 2M tokens). 
Expertise in Function Calling and Extensions within the Gemini framework to connect LLMs to external APIs and databases. 
 
Core AI/ML Skills 
Programming: Expert-level Python. 
Deep Learning 
NLP &amp; LLMs 
Vector Databases 
 
Vishal (Victor) Verma | Assistant Manager 
vishal@nsitsolutions.com 
NS IT Solutions 
www.nsitsolutions.com

AI/ML Engineer

Booz Allen Hamilton

<div>AI/ML Engineer
The Opportunity:
Design and implement effective AI solution architecture utilizing approaches of various AI technologies and methods to address Marine Corps operational needs. Apply advanced technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members, as needed. Contribute to the direction of critical solutions by applying best-fit ML algorithms and technologies. Help your clients navigate the landscape of ML algorithms, tools, and frameworks.
You Have:<ul><li>
2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics</li><li>
Experience with software development or engineering, including in an academic or professional environment</li><li>
Experience with big data technologies, such as Spark, Hadoop, or Databricks</li><li>
Experience with a programming language, including Python, C#, or Java</li><li>
Ability to create solutions within a collaborative, cross-functional team environment</li><li>
Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms</li><li>
Ability to obtain a Secret clearance</li><li>
Bachelor's degree</li></ul> 
 
Nice If You Have:<ul><li>
Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph</li><li>
Experience with embedded systems programming in C, C++, or Rust</li><li>
Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis</li><li>
Ability to create software for retrieving, parsing, and processing structured and unstructured data</li><li>
Master&rsquo;s degree</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Yokogawa

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Description</div><div></div><div>
We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will take part in design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div>
Job Overview</div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div>
Key Responsibilities</div><div></div><div>
Technical Leadership &amp; Mentorship</div><ul><li>
Develop dynamic process simulation model for various plant scenarios accurately.</li><li>
Analyze data historian, exploratory data analysis and data pre-processing.</li><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div>
Stakeholder Collaboration &amp; Communication</div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div>
Requirements</div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
6+ years of hands-on experience in AI/ML and process simulations projects execution.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</div><div>
Programming &amp; Frameworks</div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div>
Data Engineering &amp; Integration</div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div>
Personal Attributes (Special personal characteristics/ interpersonal skills)</div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div></div>

<div>
 
 Not just a job, but a career
 
 
 
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 
 
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 
 
 
 About The Team
 
 
 
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 
 
 
 Job Description
 
 
 
 We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will take part in design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
 
 
 
 Job Overview
 
 
 
 You will be part of a Project Delivery team to:
 
 
 <ul>
 <li>
 Develop dynamic process simulation model to simulate various plant scenarios.
 </li>
 <li>
 Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
 </li>
 <li>
 Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
 </li>
 <li>
 Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
 </li>
 <li>
 Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
 </li>
 <li>
 Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
 </li>
 <li>
 Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 Technical Leadership &amp; Mentorship
 
 
 
 <ul>
 <li>
 Develop dynamic process simulation model for various plant scenarios accurately.
 </li>
 <li>
 Analyze data historian, exploratory data analysis and data pre-processing.
 </li>
 <li>
 A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
 </li>
 <li>
 Advocate best practices in Data analysis, Data pre-processing and machine learning model development.
 
 
 </li>
 </ul>
 
 Stakeholder Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
 </li>
 <li>
 Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.
 </li>
 <li>
 6+ years of hands-on experience in AI/ML and process simulations projects execution.
 </li>
 <li>
 Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.
 </li>
 <li>
 Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.
 </li>
 <li>
 Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.
 </li>
 <li>
 Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
 </li>
 <li>
 Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
 </li>
 <li>
 Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
 </li>
 <li>
 Strong experience with classical machine learning, deep learning and reinforcement learning projects.
 </li>
 <li>
 Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
 
 
 </li>
 </ul>
 
 Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)
 
 
 
 
 Programming &amp; Frameworks
 
 
 
 <ul>
 <li>
 Languages: Proficiency in Python and visual basic coding is essential.
 </li>
 <li>
 ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
 
 
 </li>
 </ul>
 
 Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)
 
 
 
 <ul>
 <li>
 Consistently demonstrates exceptional technical skills, competence, and productivity.
 </li>
 <li>
 Deeply passionate about transforming emerging technologies into practical, industrial solutions.
 </li>
 <li>
 Possesses excellent communication and interpersonal abilities.
 </li>
 <li>
 A fast learner with a strong aptitude for collaboration and teamwork.
 
 
 </li>
 </ul>
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 
 
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 
 
 about our Employee Referral process!
</div>

Analytica

<div>Analytica is seeking a mid-Level AI-ML Engineer to join our growing data and AI team and help design, build, and deploy production-grade AI solutions that make a real-world impact. In this role, you will work hands-on with modern Microsoft Azure services and AI/ML technologies to turn complex data into actionable intelligence. You&rsquo;ll collaborate closely with data engineers, analysts, and business stakeholders to deliver scalable, secure, and responsible AI solutions that move from experimentation into daily operations.
This is an excellent opportunity for an engineer who enjoys working across the full AI lifecycle using a reusable software development approach across rom data preparation and model development to using software engineering principles to deployment, monitoring, and continuous improvement&mdash;while growing their expertise in cloud-native AI and MLOps practices.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Key Responsibilities:<ul><li>
Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.</li><li>
Support batch and near&ndash;real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics- and reporting-ready datasets.</li><li>
Implement data quality checks, schema management, and validation to ensure reliable, trusted, and well-documented data.</li><li>
Build secure data pipelines, integrate structured/unstructured data, and support NLP/ML workloads.</li><li>
Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms.</li><li>
Ensure compliance with Federal architecture standards, EA guidelines, and security controls.</li><li>
Produce architecture artifacts, test plans, security documentation, and operational runbooks per sprint requirements.</li><li>
Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.</li><li>
Work within Agile teams, collaborating closely with senior engineers, analysts, and stakeholders to deliver well-defined data requirements.</li></ul>
Required Experience &amp; Qualifications:<ul><li>
Us Citizen with the ability to secure public trust clearance</li><li>
3+ years of hands-on experience developing and deploying AI/ML solutions in production environments.</li><li>
Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow).</li><li>
Solid understanding of machine learning concepts, model selection, training, validation, and evaluation techniques.</li><li>
Experience working with Microsoft Azure services for data and AI workloads, such as</li><li>
Azure Machine Learning</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Synapse Analytics (SQL and/or Spark)</li><li>
Azure Data Factory</li><li>
Working knowledge of MLOps concepts, including CI/CD pipelines, version control, and model lifecycle management.</li><li>
Experience collaborating in Agile development environments and using modern DevOps tools (e.g., Azure DevOps, GitHub).</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).</li></ul>
Desired / Preferred Experience:<ul><li>
Microsoft Certified: Azure AI Engineer Associate</li><li>
 Experience with Copilot Studio or AI agent development, including orchestration and integration with APIs and data sources.</li><li>
Familiarity with feature stores, vector databases, or retrieval-augmented generation (RAG) patterns.</li><li>
Exposure to event-driven or streaming architectures (e.g., Azure Event Hubs).</li><li>
Knowledge of responsible AI practices, including fairness, explainability, model governance, and security considerations.</li><li>
Experience working in regulated or mission-driven environments.</li><li>
Azure certifications related to AI, data engineering, or cloud architecture.</li></ul>
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
<ul><li>Application Review: AI tools may help identify skills and experiences relevant to the role.</li>
<li>Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.</li>
</ul>
These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.
CApTPQvHT8</div>

AI-ML Engineer (Azure)

<div>
 
 Not just a job, but a career
 
 
 
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 
 
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 
 
 
 About The Team
 
 
 
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 
 
 
 Job Description
 
 
 
 We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
 
 
 
 Job Overview
 
 
 
 You will be part of a Project Delivery team to:
 
 
 <ul>
 <li>
 Develop dynamic process simulation model to simulate various plant scenarios.
 </li>
 <li>
 Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
 </li>
 <li>
 Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
 </li>
 <li>
 Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
 </li>
 <li>
 Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
 </li>
 <li>
 Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
 </li>
 <li>
 Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 Technical Leadership &amp; Mentorship
 
 
 
 <ul>
 <li>
 A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
 </li>
 <li>
 Lead and mentor a team of process engineers and machine learning engineers.
 </li>
 <li>
 Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.
 </li>
 <li>
 Advocate best practices in Data analysis, Data pre-processing and machine learning model development.
 
 
 </li>
 </ul>
 
 Stakeholder Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
 </li>
 <li>
 Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
 
 
 </li>
 </ul>
 
 Compliance &amp; Risk Management
 
 
 
 <ul>
 <li>
 Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
 </li>
 <li>
 Proactively address potential risks related to data privacy, model bias, and operational safety.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.
 </li>
 <li>
 10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.
 </li>
 <li>
 Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.
 </li>
 <li>
 Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.
 </li>
 <li>
 Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.
 </li>
 <li>
 Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
 </li>
 <li>
 Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
 </li>
 <li>
 Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
 </li>
 <li>
 Strong experience with classical machine learning, deep learning and reinforcement learning projects.
 </li>
 <li>
 Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
 </li>
 <li>
 Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.
 </li>
 <li>
 Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
 
 
 </li>
 </ul>
 
 Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)
 
 
 
 
 Programming &amp; Frameworks
 
 
 
 <ul>
 <li>
 Languages: Proficiency in Python and visual basic coding is essential.
 </li>
 <li>
 ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
 
 
 </li>
 </ul>
 
 Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)
 
 
 
 <ul>
 <li>
 Consistently demonstrates exceptional technical skills, competence, and productivity.
 </li>
 <li>
 Deeply passionate about transforming emerging technologies into practical, industrial solutions.
 </li>
 <li>
 Possesses excellent communication and interpersonal abilities.
 </li>
 <li>
 A fast learner with a strong aptitude for collaboration and teamwork.
 
 
 </li>
 </ul>
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 
 
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 
 
 about our Employee Referral process!
</div>

Senior AI/ML Engineer

Girmairi

<div>
 
 This role requires someone who understands
 
 both machine learning fundamentals in deep levels and real-world implementation.
 
 The Lead AI/ML Engineer will design, develop, and deploy machine learning models to address real-world challenges. Responsibilities include working with neural network architectures, implementing algorithms to improve system performance, and solving complex problems related to AI applications. The role also involves analyzing and interpreting large datasets to advance the organization&rsquo;s mission-driven goals.
 
 
 
 
 
 This is
 
 not a research role.
 
 You should be able to lead and hit the ground running.
 
 
 This is
 
 not a &ldquo;just prompt engineering&rdquo; role.
 
 
 
 This is
 
 not Junior/mid-level position.
 
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Design, build, and deploy ML models into production
 </li>
 <li>
 Work with LLMs (OpenAI, Claude, open-source models, etc.)
 </li>
 <li>
 Fine-tune and evaluate models when needed
 </li>
 <li>
 Design data pipelines for training and inference
 </li>
 <li>
 Run experiments and benchmark different models
 </li>
 <li>
 Work closely with backend engineers to integrate AI into products
 </li>
 <li>
 Improve model performance, latency, and cost efficiency
 </li>
 <li>
 Build evaluation frameworks for AI quality and safety
 </li>
 </ul>
 
 
 
 
 
 Required qualifications
 
 
 
 Strong foundation in:
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Deep Learning
 </li>
 <li>
 Model evaluation techniques
 </li>
 <li>
 Data preprocessing &amp; feature engineering
 </li>
 </ul>
 
 Experience with:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 PyTorch or TensorFlow
 </li>
 <li>
 Hugging Face ecosystem
 </li>
 <li>
 LLM APIs and open-source models
 </li>
 <li>
 Experience deploying models to production
 </li>
 </ul>
 
 Understanding of:
 
 <ul>
 <li>
 Model fine-tuning (LoRA, PEFT, etc.)
 </li>
 <li>
 Embeddings &amp; vector databases
 </li>
 <li>
 Prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Comfortable working with cloud platforms
 </li>
 </ul>
 
 Nice to have:
 
 <ul>
 <li>
 Background in NLP or conversational AI
 </li>
 <li>
 Experience in building muti-agent-based AI systems
 </li>
 <li>
 
 Deep contextual understanding of Arabic language and Islamic principles.
 
 </li>
 </ul>
 
 Background:
 
 <ul>
 <li>
 More than 5 years of professional development (most of which should be AI focused)
 </li>
 </ul>
 
 
 
 
 
 Company Description
 
 
 
 Girmairi is teaming up with MyXara which is dedicated to
 
 supporting the personal and spiritual well-being of Muslims.
 
 We provide guidance and resources to help individuals navigate challenges related to stress, identity, and faith. Our mission is to ensure that no Muslim has to face their journey alone, and we aim to foster resilience and strength in our community. Whether it's overcoming daily hurdles or deepening one&rsquo;s connection with Iman, we strive to be a trusted partner.
 
 
 
 
 
 
 Girmairi and MyXara (both are USA based; learn more www.girmairi.com)
 
 
 
 
 
 
 
 What's in it for you &amp; how we work
 
 
 <ul>
 <li>
 This is a
 
 half-time/part-time position
 
 but for the right person we can make it a full-time.
 </li>
 <li>
 We are mostly
 
 remote
 
 team. Great place if you are solo-contributor.
 </li>
 <li>
 We are flexible on compensation (
 
 estimated full-time range: 40,000 EGP - 90,000 EGP
 
 
 depending on your skills and experience level
 
 ).
 </li>
 <li>
 
 Flexible schedule;
 
 we care more about quality and output than when and how you do the work (we do have team meetings every other day and as necessary - usually EST time early/late evenings)
 </li>
 </ul>
 
 
 
 
 
 Interview process
 
 
 
 
 Step one:
 
 group call with the team. We will go over your experience and what you have been working on. This is the time to showcase all the cool stuff you are building/experimenting with.
 
 
 
 Step two:
 
 a take home exercise (ideally should be able to complete within 2-4 hrs.
 
 
 
 Step three:
 
 final interview reviewing the take home exercise and group discussion.
 
 
 
 
</div>

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