machine engineer

Infostack Tech

Job Title: Machine Learning EngineerAbout the Role:Infostack is hiring a skilled Machine Learning Engineer with 2+ years of experience in creating and deploying machine learning models. The role involves leveraging cutting-edge ML algorithms to solve complex business problems.Responsibilities:- Build, train, and deploy ML models using frameworks like TensorFlow, PyTorch, and Scikit-learn.- Develop and maintain scalable ETL pipelines for data preprocessing and transformation.- Optimize machine learning workflows for large-scale data processing.- Collaborate with teams to integrate ML capabilities into cloud-based services.- Monitor and improve model performance in production environments.Requirements:- Expertise in Python and machine learning frameworks.- Strong understanding of ML and deep learning algorithms.- Experience with ETL pipelines and data engineering tools like Apache Spark.- Proficiency with MLOps tools such as MLflow or DVC.- Familiarity with cloud platforms (AWS, GCP, Azure).- Strong English Communication skills.Nice to have:- Knowledge of containerization tools like Docker and orchestration with Kubernetes.- Experience working with structured and unstructured datasets.Job Timing:05:00 PM to 02:00 AM (Remote)Job Type: Full-timeWork Location: Remote

Machine Learning Engineer

Specright

<div>Job Title: Machine Learning Engineer
Job Summary
Specright is seeking a highly motivated and talented Machine Learning Engineer to join the Shared Services team. As a Machine Learning Engineer, you will have the opportunity to design, develop, and maintain scalable cloud-based ML pipelines, evaluate and provide recommendations based on best practices, and collaborate with other technical team members.
Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market level companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and empower efficiencies by sharing, analyzing and auditing specifications.
Responsibilities and Duties<ul><li>
Design, implement, and maintain ML pipelines to support machine learning model validation and deployment in a cloud-based environment</li><li>
Optimize and enhance existing machine learning systems and data pipelines for improved performance and scalability</li><li>
Collaborate effectively with technical team members to define system requirements and deployment strategies</li><li>
Provide support and troubleshooting to engineers and customers for new and existing deployments</li><li>
Provide support and guidance to other AI/ML team members</li></ul>
Qualifications<ul><li>
Highly experienced in designing and managing scalable ML pipelines in a cloud-based environment such as AWS</li><li>
Experience with scripting languages such as Python and Bash</li><li>
Experience with CI/CD platforms such as Jenkins</li><li>
Experience with NLP (e.g. classification, NER, etc.), LLMs, or Computer Vision (e.g. recognition, detection, segmentation)</li><li>
Ability to code, test, and debug service issues at multiple levels within a stack using multiple languages and platforms</li></ul>
Preferred Qualifications<ul><li>
B.S. or M.S. in Computer Science, Electrical Engineering, or related fields</li><li>
Deep understanding of cross-functional AWS services and organizational cloud management</li></ul>
About Specright
Specright is the first purpose-built, patented platform for Specification Management. Whether it's
packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as SupplyDemand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top SoftwareTechnology Provider award. For more information, visit: www.specright.com.
Location
Cairo, Egypt.
Culture
We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.
Perks<ul><li>
Competitive salaries</li><li>
Flexible work hours</li><li>
Full benefits package that includes Medical, Vision, and Dental</li></ul></div>

PHAZERO

<div>About PhazeRo
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities<ul>
<li>Develop scalable machine learning models and algorithms to solve specific business problems.</li>
<li>Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.</li>
<li>Implement and optimize model deployment pipelines for production environments.</li>
<li>Evaluate model performance and iterate on designs to enhance accuracy and efficiency.</li>
<li>Research and stay current with the latest advancements in machine learning and artificial intelligence.</li>
<li>Document processes and communicate results effectively to stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience in machine learning, data science, or related roles.</li>
<li>Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).</li>
<li>Experience in model evaluation metrics and techniques for model validation.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and a collaborative approach to work.</li>
<li>Passion for machine learning and eagerness to stay updated with industry trends.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

Apple

<div>The people here at Apple don&rsquo;t just build products - we craft the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple&rsquo;s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple.
 
 
Description 
 
As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple&rsquo;s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple.
 
 
Key Qualifications 
<ul><li>
4+ years of ML engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management
</li><li>Experience developing AI/ML systems at scale in production or in high-impact research environments
</li><li>Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems
</li><li>Knowledge with the common frameworks and tools such as PyPorch or TensorFlow
</li><li>Experience with transformer models such as BERT, GPT etc. and understanding of their underlying principles is a plus
</li><li>Strong coding, analytical, software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
</li><li>Experience in handling performance, application and security log management
</li><li>Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
</li><li>Proficiency in programming languages and tools like Python, R, Git, Airflow, Notebooks.
</li>Experience with data visualization tools like matplotlib, d3.js., Tableau would be a plus 
<li>
</li></ul> 
 
Education &amp; Experience 
 
Bachelor&rsquo;s Degree or Equivalent experience
 
 
Submit CV</div>

Bazzle Balloons

What You'll Work OnAs a Junior Machine Learning Engineer, you will:<ul><li>Assist in the design, development, and deployment of machine learning models and pipelines.</li><li>Support the automation of training, evaluation, and deployment workflows.</li><li>Contribute to the implementation of MLOps best practices including versioning, monitoring, and model management.</li><li>Work with tools like Docker, MLflow, Weights &amp; Biases, or similar for reproducible experimentation.</li><li>Collaborate with data scientists, backend engineers, and product teams to deliver production-ready ML solutions.</li><li>Learn to deploy models in cloud environments such as AWS, GCP, or Azure.</li><li>Stay up to date with machine learning advancements and apply relevant techniques to improve performance and scalability.</li></ul>Core Skills &amp; QualificationsWe are looking for someone with:<ul><li>1+ years of experience in machine learning or data science roles.</li><li>Proficient in Python and popular ML libraries like Scikit-learn, Pandas, TensorFlow, or PyTorch.</li><li>Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, and evaluation metrics.</li><li>Basic experience working with SQL or NoSQL databases.</li><li>Strong understanding of data structures and algorithms.</li><li>Familiarity with API integration and deploying ML models in production environments is a plus.</li><li>Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) is a plus.</li><li>Experience with tools like MLflow, LangChain, LangSmith, or vector databases is a bonus.</li><li>Good communication skills, a growth mindset, and an eagerness to learn.</li></ul>Nice-to-Have<ul><li>Experience with building and maintaining Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases and retrieval techniques to enhance LLM-powered applications.</li><li>Familiarity with distributed computing and big data technologies.</li><li>Contributions to open-source ML projects or research publications.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>machine learning or data science roles: 2 years (Required)</li><li>Python: 1 year (Required)</li><li>ML libraries like Scikit-learn, Pandas, TensorFlow, PyTorch.: 1 year (Required)</li><li>SQL or NoSQL databases: 1 year (Required)</li><li>data structures and algorithms: 1 year (Required)</li><li>API integration and deploying ML models: 1 year (Required)</li><li>cloud platforms (AWS, GCP, or Azure) : 1 year (Required)</li><li>containerization tools (Docker, Kubernetes): 1 year (Preferred)</li><li>MLflow, LangChain, LangSmith: 1 year (Preferred)</li><li>vector databases: 1 year (Preferred)</li></ul>Work Location: Remote

ExxonMobil

<div>About us 
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. 
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our What and our Why and how we can work together.<div><div><div><h2 class="jobSectionHeader">
What role you will play in our team</h2></div><div> 
We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration &amp; production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.</div></div><div><div><h2 class="jobSectionHeader">
What you will do</h2></div><div> 
<ul><li>
Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.</li><li>
Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.</li><li>
Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.</li><li>
Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
About You</h2></div><div> 
Skills and Qualifications 
<ul><li>
Bachelor&rsquo;s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with minimum 7.0 CGPA or equivalent.</li><li>
Minimum 3 years of experience in Data Science and Machine Learning or related computational domain.</li><li>
Competent to expert level programming experience in C/C++/Python.</li><li>
Strong foundation in application design.</li><li>
Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development.</li><li>
Experience with Source code version control (Git), Azure Cloud platform and containers, Databricks and MLflow.</li><li>
Continuous Integration and Continuous Deployment.</li><li>
Familiarity with statistical analysis, regression and classification.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications / Experience</h2></div><div> 
<ul><li>
Experience with time series analysis, computer vision, natural language processing.</li><li>
Knowledge or hands on experience on Matlab &amp; SQL.</li><li>
Strong written and verbal communication skills.</li><li>
Prior knowledge of commercial software development and/or experience in commercial software teams.</li><li>
Familiarity with Oil and Gas Industry.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Your benefits</h2></div><div> 
An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: 
<ul><li>
Competitive compensation</li><li>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</li><li>
Retirement benefits</li><li>
Global networking &amp; cross-functional opportunities</li><li>
Annual vacations &amp; holidays</li><li>
Day care assistance program</li><li>
Training and development program</li><li>
Tuition assistance program</li><li>
Workplace flexibility policy</li><li>
Relocation program</li><li>
Transportation facility</li></ul> 
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</div></div><div><div><h2 class="jobSectionHeader">
Stay connected with us</h2></div><div> 
<ul><li>
Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.</li><li>
Follow us on LinkedIn and ExxonMobil (@exxonmobil) &bull; Instagram photos and videos
</li><li>Like us on Facebook</li><li>
Subscribe our channel at YouTube</li></ul></div></div><div><div><h2 class="jobSectionHeader"> 
EEO Statement</h2></div><div> 
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</div></div><div><div><h2 class="jobSectionHeader"> 
Business solicitation and recruiting scams</h2></div><div> 
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</div></div></div> 
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</div>

Apparatus Solutions

Machine Learning EngineerLocation: PuneCompany: Apparatus Solutions Pvt LtdAbout UsWe are building next-generation AI systems &mdash; starting with real-world apps and scaling towards custom AI models like our in-house project ****. Our goal is to merge product-focused AI with deep research foundations. This is a ground-floor opportunity to join a fast-moving team where your work will directly shape AI products and future research.---ResponsibilitiesBuild and deploy AI-driven applications (first prototype in 2 months).Preprocess and clean raw data dumps into structured datasets.Fine-tune existing models (OpenAI, Gemini, Hugging Face, etc.) for fast delivery.Set up data pipelines, experiment tracking, and model versioning.Start groundwork for custom model training from scratch (Zeus project).Collaborate with leadership to align research goals with product outcomes.Deploy solutions on cloud infrastructure (AWS/GCP/Azure).Ensure scalability, performance, and basic MLOps best practices (Docker, CI/CD).---Requirements3&ndash;6 years of hands-on ML/DL engineering experience.Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers.Experience with data preprocessing (SQL, Pandas, large unstructured datasets).Proven track record of shipping at least one AI-powered app/product.Familiarity with cloud platforms and deployment workflows.Understanding of MLOps concepts (Docker, CI/CD, experiment tracking).Ability to balance fast prototyping with long-term scalable architecture.Bonus: Published research or experience in training models from scratch.---What We OfferSalary Range: &#8377;6&ndash; 9LPA (negotiable for exceptional candidates).Equity/Profit-sharing options for long-term alignment.Direct impact: Your work will shape both the first product launch and the Zeus AI foundation.Opportunity to grow into Head of AI / Chief Scientist role as the team expands.Creative, high-energy environment with freedom to experiment.Job Type: Full-timePay: &#8377;600,000.00 - &#8377;900,000.00 per yearWork Location: In person

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