machine engineer

Sarmad

<div>Sarmad is looking for a talented and proactive Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing machine learning models that power our data-driven solutions. You will collaborate with data scientists, software engineers, and product managers to turn complex data sets into actionable insights and innovative products. If you are passionate about machine learning and have experience applying it in real-world scenarios, we invite you to apply!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Develop and deploy machine learning models to solve complex business problems</li>
<li>Design and conduct experiments to improve model performance and scalability</li>
<li>Work with large datasets to preprocess, clean, and analyze data</li>
<li>Collaborate with cross-functional teams to integrate machine learning solutions into applications</li>
<li>Monitor model performance, troubleshoot issues, and make improvements as needed</li>
<li>Stay updated on the latest developments in machine learning and AI technologies</li>
<li>Document processes and create clear reports for stakeholders</li>
</ul>Requirements<ul>
<li>Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, or a related field</li>
<li>Proven experience as a Machine Learning Engineer or similar role</li>
<li>Strong understanding of machine learning algorithms and techniques</li>
<li>Proficiency in programming languages such as Python or R</li>
<li>Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)</li>
<li>Familiarity with data processing tools and big data technologies (e.g., Apache Spark, Hadoop)</li>
<li>Strong analytical and problem-solving skills</li>
<li>Excellent communication skills and ability to work in a team environment</li>
<li>Experience in deploying models in production environments is a plus</li>
</ul>Benefits<ul>
<li>Hybrid work model</li>
<li>Healthy working environment</li>
<li>Medical Insurance</li>
<li>Social Insurance</li></ul></div>

Machine Learning Engineer

NatWest Group

<div>Join us as a Machine Learning Engineer<ul><li>
We&rsquo;re looking for someone to deploy, automate, maintain and monitor machine learning models and algorithms to make sure they work effectively in a production environment</li><li>
Day-to-day, you&rsquo;ll collaborate with colleagues to design and develop state-of-the-art machine learning products which power our group for our customers</li><li>
This is your opportunity to turn your interests into a diverse and rewarding career, as you solve new problems and create smarter solutions in a non-stop innovation environment</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools.
We&rsquo;ll need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance. You&rsquo;ll also maintain knowledge of data science and machine learning.
In addition, you&rsquo;ll be responsible for:<ul><li>
Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy</li><li>
Working with colleagues to produce machine learning models, including pipeline designs, development, testing and deployment to carry on the intent and knowledge into production</li><li>
Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust</li><li>
Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining</li><li>
Working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes</li></ul><h2 class="jobSectionHeader">
The skills you&rsquo;ll need</h2>
To be successful in this role, you&rsquo;ll have an academic background in a STEM discipline, like Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll need experience with machine learning on large datasets and an understanding of machine learning approaches and algorithms.
Alongside this, you&rsquo;ll have experience of building, testing, supporting and deploying machine learning models into a production environment, using modern CI/CD tools, like TeamCity and CodeDeploy. You&rsquo;ll also have good communication skills to engage with a wide range of stakeholders.
Furthermore, you&rsquo;ll need:<ul><li>
Experience of using programming and scripting languages, such as Python and Bash</li><li>
An understanding of how to synthesise, translate and visualise data and insights for key stakeholders</li><li>
Financial services knowledge and the ability to identify wider business impacts, risks and opportunities to make connections across key outputs and processes</li></ul></div>

Mobile Programming

Hiring: ML Engineer (Azure &amp; Databricks )Location: BangaloreExperience: 4&ndash;6 YearsNotice Period: Immediate Joiners PreferredRequired Skills &amp; Experience:Strong proficiency in Python for data manipulation, ML model development, and scripting.Hands-on experience with ML frameworks: Scikit-learn, TensorFlow, PyTorch, or Keras.Proven expertise in MLflow for model tracking, management, and deployment.Solid experience with Microsoft Azure services &mdash; Azure Machine Learning, Azure Databricks, and cloud data services.Interested candidates can share their CVs at: pradnya.bhalerao@programming.comJob Type: Full-timePay: &#8377;470,059.73 - &#8377;1,553,645.55 per yearApplication Question(s):<ul><li>How many days NP ? Last working date?</li><li>CTC? ECTC?</li><li>Are you okay for Banglore location?</li></ul>Experience:<ul><li>Machine learning: 4 years (Preferred)</li><li>Python: 2 years (Preferred)</li><li>Mlops: 2 years (Preferred)</li><li>Azure: 2 years (Preferred)</li><li>MLFlow: 2 years (Preferred)</li></ul>Work Location: In person

Axix Technologies

Job Title: Machine Learning Engineer Company: Axix Technologies Pvt Ltd Location: Gulberg III, Lahore (Onsite) Job Type: Full-Time Experience: proven 2&ndash;3 years industry experienceRole OverviewAxix Technologies, we don&rsquo;t just build software we build intelligent systems that shape the future of industries worldwide. If you&rsquo;re passionate about AI, Computer Vision, and cutting-edge automation, this role is for you.What You&rsquo;ll Work On<ul><li>Designing and deploying end-to-end ML pipelines that impact real businesses globally</li></ul><ul><li>Building real-time AI models for Computer Vision, Facial Recognition, and Anomaly Detection</li></ul><ul><li>Leveraging LLMs, LangChain, and Generative AI frameworks to power enterprise systems</li></ul><ul><li>Deploying scalable solutions on AWS, GCP, Azure, and Edge devices</li></ul>Education<ul><li>BS Software Engineering / BS Artificial Intelligence (or related field)</li></ul>Your Expertise<ul><li>2+ years proven industry experience in Machine Learning &amp; AI</li></ul><ul><li>Proficiency with PyTorch, TensorFlow, OpenCV, YOLOv8, Detectron2</li></ul><ul><li>Experience in LLMs, Hugging Face Transformers, LangChain</li></ul><ul><li>Strong in MLOps tools: Git/GitLab, Docker, CI/CD, MLflow, DVC</li></ul><ul><li>Familiarity with Vector Databases (FAISS, Pinecone, Weaviate)</li></ul><ul><li>Skilled in real-time AI deployment &amp; automation</li></ul>Apply Now: careers@axixtechnologies.comContact:+92 300 1119405Job Type: Full-timePay: Rs60,000.00 - Rs70,000.00 per monthWork Location: In person

Hexpress Healthcare Softech Private Limited

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle.Key Responsibilities:Production Deployment &amp; Scaling:<ul><li>Refactor and optimise Data Science prototypes for performance and efficiency.</li><li>Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes.</li><li>Design and build low-latency APIs to serve model predictions in real-time.</li></ul>MLOps Pipeline Automation:<ul><li>Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes.</li><li>Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows.</li></ul>Advanced AI Focus:<ul><li>Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering.</li><li>Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias.</li></ul>System Monitoring &amp; Maintenance:<ul><li>Set up robust monitoring for model performance, data drift, and infrastructure health in production.</li><li>Develop and manage automated processes for model retraining, versioning, and rollbacks.</li></ul>Software Engineering &amp; Collaboration:<ul><li>Write high-quality, clean, modular Python code following professional software engineering standards.</li><li>Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for models.</li></ul>Benefits<ul><li>Service recognition awards.</li><li>Market-leading salary packages.</li><li>Maternity &amp; Paternity Benefits.</li><li>Medical Insurance Benefits.</li></ul>Job Types: Full-time, PermanentPay: &#8377;66,000.00 - &#8377;75,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Health insurance</li><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Vadodara, Gujarat: Reliably commute or willing to relocate with an employer-provided relocation package (Required)</li></ul>Application Question(s):<ul><li>Please share your current CTC details</li></ul>Experience:<ul><li>Machine learning: 2 years (Required)</li></ul>Language:<ul><li>Fluent English (Required)</li></ul>Work Location: In person

NetApp

<div>About NetApp
NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.</div>
 <div><div><div><div><div><h2 class="jobSectionHeader">Job summary</h2></div><div>
NetApp is seeking an ML engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key ML engineer in this initiative, the candidate will be responsible for independently deploying scalable AI/ML-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data protection and cyber-security. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.</div></div><div><div><h2 class="jobSectionHeader">
Job requirements</h2></div><div><ul><li>
Lead the development and deployment of AI/ML systems for Data protection with techniques from the realm of classical Machine learning, Generative AI and AI agents.</li><li>
Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations.</li><li>
Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.</li><li>
Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments.</li><li>
Have a customer focus mindset and build AI/ML products that delight our customers.</li><li>
Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.</li></ul>
Job Expectations<ul><li>
The position is a Hybrid position, and the candidate is expected to work in NetApp Bangalore office at least two days a week.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Required and preferred qualification</h2></div><div><ul><li>
Master&rsquo;s degree in computer science / applied mathematics / statistics / data science or equivalent experience.</li><li>
3+ years of experience in building MLOps pipelines, CI/CD pipelines, and ML systems lifecycle management.</li><li>
Strong knowledge of optimizing and shipping machine learning and deep learning models to production.</li><li>
Proficiency in Python, SQL and at least one cloud platform (AWS, Azure or GCP).</li><li>
Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization</li></ul>
Preferred Qualification<ul><li>
1+ years of experience in data engineering, including building and optimizing data pipelines and architectures.</li><li>
Solid understanding of data science fundamentals and model evaluations, including supervised and unsupervised machine learning algorithms (both machine learning and deep learning).</li><li>
Good understanding of cyber-security and data protection frameworks.</li><li>
Experience of representing your work or company at AI/ML conferences.</li><li>
Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.</li></ul></div></div></div>
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
Why NetApp?
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
Submitting an application 
 
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.</div></div>

Buluttan

<div>
 
 
 Job Overview
 
 
 
 We are looking for a
 
 Machine Learning Engineer
 
 who is willing to tackle the challenges of
 
 big weather data
 
 at Buluttan Weather Intelligence.
 
 
 
 
 
 
 Company Overview
 
 
 
 Buluttan is a Istanbul-based weather intelligence company providing services worldwide. We are working with large scale weather data and providing critical weather forecasts &amp; alerts &amp; algorithms for various industries. These include, but not limited to,
 
 renewable energy, mobility, logistics,
 
 etc&hellip; We do love meteorology and would like to mix it with cutting edge technology.
 
 
 
 
 
 Buluttan is highly invested in
 
 climate change research
 
 and its effects on people &amp; companies. We do have a social media presence as well where we are trying to create a weather-conscious community. You can follow us at Instagram
 
 (@buluttanapp
 
 ) or on LinkedIn (https://tr.linkedin.com/company/buluttan).
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and implement regression and classification algorithms to improve the accuracy of short-term weather forecasts, focusing on
 
 renewable energy production
 
 and
 
 extreme weather alerts
 
 .
 </li>
 <li>
 
 Deploy
 
 machine learning models to production, analyze and track their performance.
 </li>
 <li>
 Analyze and interpret
 
 spatially complex datasets
 
 related to numerical weather prediction (NWP) models, radar and satellite imagery, atmospheric and climate variables.
 </li>
 <li>
 Assist in the creation of
 
 data visualizations and dashboards
 
 to provide insights for internal and external stakeholders.
 </li>
 <li>
 Stay ahead of the latest developments in the field of Meteorology &amp; Artificial Intelligence and drive Buluttan&rsquo;s AI vision in meteorology.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 B.Sc/M.Sc/PhD in Computer Science, Data Science, Mathematics, Statistics, Meteorology, Physics, or any related department.
 </li>
 <li>
 
 2+ years
 
 customer-facing, project-delivery experience, professional services, and/or consulting experience.
 </li>
 <li>
 Experience in working with ML models in
 
 production
 
 .
 </li>
 <li>
 Strong foundation in
 
 Machine Learning
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and
 
 Git
 
 .
 </li>
 <li>
 Willingness to explore and actively use
 
 AI coding assistants
 
 (e.g., Cursor, Copilot, Claude Code) tools to accelerate development.
 </li>
 <li>
 Trying to follow
 
 best software development practices
 
 (clean code, testing, version control).
 </li>
 <li>
 Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills.
 </li>
 <li>
 
 Full ownership &amp; capability of managing responsibilities with minimal guidance.
 
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with MLOps best practices.
 </li>
 <li>
 Experience with experiment tracking tools (MLFlow, Weights &amp; Biases, etc.)
 </li>
 <li>
 Experience with time series regression &amp; forecasting algorithms.
 </li>
 <li>
 Experience working with weather data, radar and satellite image recognition.
 </li>
 <li>
 Familiarity with GCP &amp; data engineering pipelines.
 </li>
 <li>
 Having solved Physics based problems.
 </li>
 <li>
 Knowledge of data visualization tools (Grafana, Tableau, Looker).
 </li>
 <li>
 Passion for meteorology.
 </li>
 <li>
 An active stance on climate change &amp; sustainability.
 </li>
 </ul>
 
 
 
</div>

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