machine learning engineer

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

spector

<div><h3 class="jobSectionHeader">Role Description</h3>
We are seeking an experienced machine learning engineer to join our seasoned founding team to drive the development and innovation of our ML platform. Ideal candidates bring extensive experience in building the next generation of machine learning models and its training and serving infrastructure for the Spector.
This role requires a hands-on engineer who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what ML and GenAI can achieve in industrial resilience.<h3 class="jobSectionHeader">
You will:</h3><ul><li>
Create ML models which help drive value for users and our company.</li><li>
Build scalable ML model training and serving infrastructure.</li><li>
Evaluate the technical tradeoffs of every decision.</li><li>
Perform code reviews and ensure exceptional code quality.</li><li>
Iterate quickly without compromising quality.</li></ul><h3 class="jobSectionHeader">
Must Have:</h3><ul><li>
Bachelor's Degree in a relevant technical field such as computer science and 3+ years of post-Bachelor&rsquo;s machine learning experience; or Master&rsquo;s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience.</li><li>
Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning.</li><li>
Strong understanding of machine learning approaches and algorithms.</li><li>
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks.</li><li>
Ability to work with both internal and external partners.</li><li>
Strong collaboration and mentorship skills.</li></ul><ul><li>
Entrepreneurial Mindset: Highly self motivated and adaptable with a passion for innovation, problem-solving, and making a meaningful impact in a startup environment.</li><li>
Willingness to take ownership and drive projects from concept to implementation.</li></ul><h3 class="jobSectionHeader">
Preferred to have:</h3><ul><li>
Experience in on-prem ML model deployment and observability.</li><li>
Experience in building and deploying ML models for real time time series data like sensor/IoT data.</li></ul><h3 class="jobSectionHeader">
About Spector.ai</h3>
Spector.ai is a well-funded, fast-paced, innovative seed-stage startup focused on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI-first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain-specific industrial AI Agents, Spector.ai enables real-time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists.
We are rapidly growing and looking for an experienced, self-driven DevOps Engineer to join our core team. This is a unique opportunity to shape our infrastructure, tooling, and deployment practices from the ground up, ensuring we can scale effectively and reliably as we move toward our next stage of funding and growth.</div>

Ampstek

<div>
 
 
 Role: ML Engineer
 
 
 
 
 Location: Cairo
 
 
 
 
 Project Site: Onsite
 
 
 
 
 Client: HCL
 
 
 
 
 Project type: Contract (6 months with extension)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a strong applied scientist to develop, evaluate, and productionise machine learning models to improve the trust, safety, and intelligence of MSN. You will be using the latest machine learning techniques, such as deep neural networks and large language models, to develop classifiers using large amounts of news data.
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 :
 
 <ul>
 <li>
 Experience with production machine learning model deployment and debugging
 </li>
 <li>
 Experience with large language models
 </li>
 <li>
 Experience with image/video processing, vision models, or visual content understanding
 </li>
 </ul>
</div>

Cook Group

<div>Overview:
<div>At Cook Medical, artificial intelligence (AI) is more than a technology&mdash;it&rsquo;s a strategic enabler of innovation and patient-focused solutions. We integrate AI responsibly across our operations to enhance efficiency, personalize experiences, and unlock insights that improve healthcare outcomes. Our approach is guided by Cook&rsquo;s core values of integrity, transparency, and respect, ensuring every AI initiative aligns with ethical standards and regulatory compliance.</div><div></div><div> 
The primary function of the Machine Learning (ML) Engineer is to develop and deploy machine learning models using Python or other industry programming languages.</div>
Responsibilities:
<ul><li>Develop and Implement ML Models: Design and deploy machine learning algorithms and models to analyze and interpret complex medical data, contributing to the advancement of our medical devices.</li><li>Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and clinical experts to integrate machine learning solutions into existing and new medical device platforms.</li><li>Data Preprocessing and Analysis: Collect, clean, and preprocess large datasets from various sources to ensure the accuracy and quality required for training robust machine learning models.</li><li>Performance Optimization: Enhance the performance of machine learning models by tuning hyperparameters, selecting appropriate algorithms, and employing techniques to prevent overfitting.</li><li>Stay Updated with Industry Trends: Keep abreast of the latest developments in machine learning, artificial intelligence, and the medical device industry to ensure our solutions remain at the forefront of technological innovation.</li><li>Compliance and Documentation: Ensure all machine learning models and processes comply with relevant medical regulations and standards. Maintain thorough documentation for model development, validation, and deployment processes.</li></ul>
Qualifications:
<div>
Education and/or Work Experience Requirements 
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Electrical Engineering, Biomedical Engineering or related Engineering field required</li><li>Master&rsquo;s in computer science preferred</li><li>Minimum 2+ year&rsquo; experience</li></ul></div><div></div><div> 
Qualification Requirements 
<ul><li>Proficiency in programming languages such as Python or R.</li><li>Experience with machine learning frameworks like TensorFlow or PyTorch.</li><li>Familiarity with data preprocessing techniques and tools.
</li><li>Excellent verbal and written communication skills
</li><li>Strong analytical and problem-solving skills
</li><li>Ability to manage competing priorities in a fast-paced environment
</li><li>Comfort navigating ambiguity, and an ability to create in an undefined, unestablished environment</li><li>Proven experience in developing and deploying machine learning models, preferably in the medical device or healthcare industry.</li><li>Must be highly collaborative and comfortable working with people in a matrixed environment.
</li></ul>&bull; Exceptional verbal and written communication skills. &bull;</div><div></div><div> 
Physical Requirements 
<ul><li>Requires occasional early morning or evening teleconference</li><li>Remote with Ability to travel (domestic and international) (25%) required
</li><li>Works under general office environmental conditions
</li><li>Sits for extended periods, utilizes close visual acuity working with computers, etc.</li></ul></div></div>

HBL Microfinance Bank LTD

<div>
 
 
 Job Description:
 
 We are seeking an enthusiastic Machine Learning Engineer to enhance our AI-driven lending portfolio. The successful candidate will be instrumental in developing, optimizing, and maintaining machine learning models that underpin our wallet and loan services, utilizing the latest in technology and methodologies to ensure high performance and reliability.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models using frameworks like scikit-learn, TensorFlow, PyTorch, Caret and Tidymodels, incorporating both Python and R environments.
 </li>
 <li>
 Implement and optimize data processing workflows using Pandas, Dask, and Tidyverse, ensuring efficient handling of data within RAM constraints using chunking strategies.
 </li>
 <li>
 Support the development and enhancement of AI-powered chatbots for customer interaction and support.
 </li>
 <li>
 Experience with Google Cloud Services, particularly Google Cloud Run and Cloud Build, for deploying and managing scalable applications.
 </li>
 <li>
 Proficiency in version control systems, including working with Git repositories for collaborative code development and management.
 </li>
 <li>
 Utilize Flask and Plumber to develop and deploy APIs for model hosting, ensuring scalability and reliability within Dockerized environments.
 </li>
 <li>
 Monitor model performance and data integrity to detect and address data drift and concept drift, maintaining high model accuracy and reliability.
 </li>
 <li>
 Collaborate with DBAs to integrate machine learning models seamlessly with existing Oracle and MySQL/Postgresql databases.
 </li>
 <li>
 Support the deployment and maintenance of the MLOps infrastructure using MLflow, managing the lifecycle of machine learning models from development to production.
 </li>
 <li>
 Generate insights and visualizations using Prometheus, Grafana, and the ELK stack to monitor system performance and user interactions.
 </li>
 <li>
 Continuously research and implement best practices in machine learning and data science to enhance product features and operational efficiency.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s / Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Business or a related field.
 </li>
 <li>
 2 to 4 years of experience in a machine learning engineering role.
 </li>
 <li>
 Strong proficiency in Python or R, with practical knowledge of SQL and NoSQL databases.
 </li>
 <li>
 Experience with machine learning libraries and frameworks, and familiarity with Docker and container management.
 </li>
 <li>
 Knowledge of data processing frameworks and tools, including Dask and Pandas.
 </li>
 <li>
 Proven ability to develop and manage RESTful APIs using Flask or Plumber.
 </li>
 <li>
 Experience with monitoring tools such as Evidently AI, and familiarity with Prometheus, Grafana, and ELK Stack for operational monitoring.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Practical exposure to financial services or fintech, particularly in areas of credit scoring or fraud detection.
 </li>
 <li>
 Experience with Google Cloud Services is preferred.
 </li>
 <li>
 Experience with DevOps practices and tools.
 </li>
 <li>
 Experience with Oracle and ArangoDB in a production environment.
 </li>
 </ul>
 
 
</div>

Analytica-data

Position: Machine Learning Engineer Experience: 2&ndash;5 Years Location: On-SiteRole OverviewBuild, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.Core Responsibilities<ul><li>Train ML/DL models using TensorFlow/PyTorch.</li><li>Preprocess datasets and perform model tuning.</li><li>Deploy models using Docker/FastAPI on cloud platforms.</li><li>Monitor production accuracy and retrain based on new inputs.</li><li>Research new AI approaches and improve pipeline efficiency.</li></ul>Technical Skills &amp; ToolsSoftware &amp; Tools: Jira, Trello, ClickUp, Asana, Monday.com Documentation: Confluence, Notion, Google Workspace, MS Office Diagramming: Draw.io, Lucidchart, Figma (flows/UI mapping) CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)Technical Understanding:<ul><li>REST/GraphQL APIs for integration</li><li>SQL basics for data extraction &amp; reports</li><li>Cloud (AWS/Azure/GCP) deployment familiarity</li><li>AI/ML concepts &mdash; LLMs, predictive models, training workflows</li><li>SDLC &amp; MLOps awareness</li><li>Basic understanding of web stack (HTML/CSS/JS)</li></ul>Job Type: Full-timeWork Location: In person

Wabtec

<div>Job Description 
It&rsquo;s not just about your career or job title&hellip; It&rsquo;s about who you are and the impact you will make on the world. Because whether it&rsquo;s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you&rsquo;re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. 
Who are we? 
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. 
 
Wabtec is focused on performance that drives progress and unlocks our customers&rsquo; potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more!
Role Summary/Purpose 
The Machine learning engineer, working as part of Wabtec&rsquo;s Digital Advanced Technologies (DAT) team will be responsible for developing and deploying new advanced AI solutions throughout the freight and passenger transportation industry. DAT is a cross-disciplined entrepreneurial group that carries out applied research in AI/ML, designs and deploys cutting edge algorithms and new digital solutions throughout the Wabtec portfolio of businesses. The Machine learning engineer will work closely with internal stakeholders to deploy scalable machine learning and deep learning solutions in cloud and edge video analytics, robotics and automation systems. 
Essential Responsibilities<ul><li> 
Drive the execution of design, analysis, or evaluation of scalable AI solutions at Wabtec</li><li>
Work closely with the DAT ML engineers to build and deploy highly scalable AI solutions that drive business value for our business units and customers</li><li>
Be a machine learning cross-functional engineer with organizations such as, Freight Engineering, Services, Transit Engineering, Digital Electronics, Freight Components, Mining and Marine operations to drive new computer vision solutions and opportunities</li><li>
Participate in designing and executing data science pipelines including edge device management, data collection, exploratory data analysis, ground truth annotation, building machine/deep learning models and their deployment</li><li>
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy</li><li>
Participate in discussions and host webinars on latest trends in artificial intelligence and digital technologies</li><li>
Develop subject matter expertise in driving digital industrial solutions across all functional engineering areas</li></ul> 
Eligibility Requirements:<ul><li>
Must be willing to work out of an office located in Bangalore, India</li></ul> 
Qualifications / Requirements<ul><li>
Bachelor&rsquo;s in engineering, Physics, Chemistry, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience.</li><li>
Minimum 2 years of hands-on experience in the fields of AI/ML</li><li>
Proficient in python, GO or similar languages.</li><li>
Proficient with computer vision tools such as Open CV, Deep Learning Frameworks (Keras, TensorFlow, PyTorch)</li><li>
Proficient in software design principles and tools such as Gitlab</li><li>
Working knowledge in Natural language processing and/or Large Language Models (LLM)</li><li>
Working knowledge with Docker and Kubernetes</li><li>
Working knowledge in Cloud, Cloud Native applications, and application platforms</li></ul> 
Desired Characteristics<ul><li>
Master&rsquo;s degree in Physics, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience</li><li>
Experience with machine learning and statistical algorithms</li><li>
Experience with developing deep learning models for computer vision applications such as object detection and segmentation</li><li>
Experience with embedded edge devices such as NVIDIA Jetson boards and video analytics applications</li><li>
Strong interpersonal, leadership and communication skills</li><li>
A critical thinker that can quickly understand a new problem space and apply analytic techniques to identify potential value</li><li>
Self-starter with the ability to lead the effort with minimum supervision</li><li>
Ability to engage and build positive relationships with both customers and internal and external employees</li><li>
Ability to work in a cross-functional, global environment</li><li>
Effective team building and problem-solving abilities</li></ul>
Our Commitment to Embrace Diversity: 
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. 
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world&rsquo;s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. 
We believe in hiring talented people of varied backgrounds, experiences, and styles&hellip; People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
Additional Information<div></div> 
What could you accomplish in a place that puts People First?
At Wabtec, it&rsquo;s not just about a job - it&rsquo;s about the impact you make. When our people come together, we&rsquo;re Expanding the Possible by continuously improving what we do and how we do it - for our clients and each other.
If you&rsquo;re ready to revolutionize how the world moves for future generations, Wabtec is the place for you. 
Who are we?
Wabtec is a leading global provider of equipment, systems, digital solutions, and value-added services for the freight and transit rail sectors. Drawing on more than 150 years of experience, we are leading the way in safety, efficiency, reliability, innovation, and productivity. Whether it&rsquo;s freight, transit, ports, logistics, mining, industrial, or marine, our expertise, technologies, and people together &ndash; are accelerating the future of transportation. With roots that date back to George Westinghouse, Thomas Edison, and Louis Faiveley, Wabtec has always built technologies and implemented solutions for a variety of sectors that are critical to meeting the needs of customers and governments alike.
Our global team of about 30,000 employees worldwide delivers performance that moves the world forward. We&rsquo;re lifelong learners, obsessed with better. Learn more at www.WabtecCorp.com.
Culture powers us and the possibilities.
We believe the best ideas come from a mix of experiences and backgrounds. At Wabtec, we strive every day to create a place where everyone belongs. We&rsquo;re building a culture where leadership, inclusion and your unique perspective fuel progress. 
We&rsquo;re proud to be an Equal Opportunity Employer. We welcome talent of all backgrounds, experiences, and identities, including race, gender, age, disability, veteran status and more.
Need accommodation? Just let us know - we&rsquo;ve got you.</div>

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