Senior Machine Learning Developer Job at 10Pearls (Lahore)

Senior Machine Learning Developer

We are seeking a highly skilled and experienced Senior Machine Learning Develope...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
5+ years of professional experience in machine learning development
Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost
Solid understanding of supervised and unsupervised learning, deep learning, and statistical modeling techniques
Experience with data preprocessing, feature engineering, and model evaluation methodologies
Hands-on experience with large datasets and distributed computing frameworks (Spark, Hadoop)
Strong experience deploying models in production environments using REST APIs or microservices
Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker
Experience with cloud platforms such as AWS, Azure, or GCP
Strong understanding of databases (SQL and NoSQL)

Job Responsibility

Lead the end-to-end machine learning lifecycle: problem definition, data collection, feature engineering, model development, evaluation, deployment, and monitoring
Design, develop, and deploy scalable machine learning models in production environments
Build and maintain robust data pipelines for structured and unstructured data
Perform data analysis, experimentation, and model validation to ensure high performance and reliability
Optimize model performance, scalability, and inference speed
Collaborate closely with product managers, data engineers, software developers, and stakeholders to translate business requirements into ML solutions
Implement MLOps best practices, including CI/CD for ML models, versioning, monitoring, and retraining strategies
Ensure data security, governance, and compliance with relevant regulations
Conduct code reviews and maintain high coding standards and documentation
Research emerging ML techniques and recommend improvements or new solutions

Senior Machine Learning Developer

We are seeking a highly skilled and experienced Senior Machine Learning Develope...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
5+ years of professional experience in machine learning development
Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost
Solid understanding of supervised and unsupervised learning, deep learning, and statistical modeling techniques
Experience with data preprocessing, feature engineering, and model evaluation methodologies
Hands-on experience with large datasets and distributed computing frameworks (Spark, Hadoop)
Strong experience deploying models in production environments using REST APIs or microservices
Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker
Experience with cloud platforms such as AWS, Azure, or GCP
Strong understanding of databases (SQL and NoSQL)

Job Responsibility

Lead the end-to-end machine learning lifecycle: problem definition, data collection, feature engineering, model development, evaluation, deployment, and monitoring
Design, develop, and deploy scalable machine learning models in production environments
Build and maintain robust data pipelines for structured and unstructured data
Perform data analysis, experimentation, and model validation to ensure high performance and reliability
Optimize model performance, scalability, and inference speed
Collaborate closely with product managers, data engineers, software developers, and stakeholders to translate business requirements into ML solutions
Implement MLOps best practices, including CI/CD for ML models, versioning, monitoring, and retraining strategies
Ensure data security, governance, and compliance with relevant regulations
Conduct code reviews and maintain high coding standards and documentation
Research emerging ML techniques and recommend improvements or new solutions

Senior AI Developer (With Python And Machine Learning Knowledge)

We are seeking a Senior Back-end Developer to design, develop, and deploy server...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

July 10, 2026

Requirements

Experience: 3-5 years of professional software development experience across the full SDLC
Strong proficiency in Python and Machine Learning (priority), plus Java/J2EE
Experience with Spring, Hibernate/JPA, and REST API development
Working knowledge of Oracle SQL and WebSphere
Preferred Skills: Experience with JIRA, Jenkins, GitHub, Microservices, and Openshift/ECS
BSc / BA degree

Job Responsibility

Design and implement back-end solutions based on business requirements and user needs
Manage all phases of the SDLC, from analysis and design to testing, deployment, and operational support
Take primary responsibility for Python and Machine Learning development
Lead projects end-to-end, managing deliverables and maintaining all technical documentation
Define operating processes and ensure environment stability through consistent support and change control
Execute tasks with independent judgment and minimal direct supervision

What we offer

competitive salary and benefits
home office opportunity
structured onboarding and training to ensure seamless integration into the team and role
working within a leading multinational organization in the financial sector

Fulltime

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

New

Senior Machine Learning Engineer - ML Training Infrastructure

We are seeking an experienced, technical oriented, impact delivering-driven expe...

Location

United States , Mountain View

Salary:

170000.00 - 240000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
3+ years professional software engineering experience
2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
Strong programming skills in Python, with proficiency in frameworks such as, PyTorch (preferred), TensorFlow, or similar
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure)
Willingness to travel to Sunnyvale, CA as needed
Comfortable working in highly ambiguous and dynamic environments

Job Responsibility

Design and development of scalable, reliable, high-performance ML framework to support model training at scale
Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost
Raise the bar on system observability, debuggability, and operational excellence, and user experience
Collaborate with cross-functional teams to integrate new features and technologies into the platform

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

New

Senior Machine Learning Engineer

Job Requirement – Senior Machine Learning Engineer. Location – Delhi / Bangalore...

Location

India , Delhi / Bangalore

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline
PhD’s preferred
Specialization or research in applied machine learning, MLOps, or ML systems preferred
7+ years of experience designing, developing, and deploying ML models in production environments
4+ years of experience in building predictive models like classification, time series modelling etc.
1+ year of experience in areas such as recommendation systems, pattern recognition, NLP
Experience with production-grade Python (preferred), as well as Java or C/C++
Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Fulltime

New

Senior Machine Learning Scientist

We are looking for a Senior Machine Learning Scientist to lead machine learning ...

Location

United Kingdom , Oxford

Salary:

65000.00 - 70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

PhD in a relevant field, with industry experience
Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit-learn)
Proficiency with version control and good software engineering practices
Deep expertise in machine learning and experimental methodology
Strong track record of applied problem-solving
Experience planning and delivering complex machine learning projects
Ability to operate with minimal guidance in ambiguous problem spaces
Evidence of significant research achievement

Job Responsibility

Lead ML strategy and technical execution for major projects
Design novel or advanced modelling approaches as needed
Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications
Write, review, and take responsibility for technical documentation, reports, and algorithm specifications
Translate research concepts into proof-of-concepts, working prototypes and scalable solutions
Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices
Collaborate with internal teams on product development

Senior Machine Learning Scientist (Experiences)

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
Proven ability to tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems
Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable
Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools

Job Responsibility

Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist 'off-the-shelf,' breaking down massive research goals into deliverable, iterative milestones
Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation
Tailor Golden Datasets and leaderboards with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions
Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases, and confidence thresholds—to enable SWE partners to build robust fallback systems
Diagnose complex algorithmic bugs and implement automated checks for 'Silent Failures' (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions
Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums
Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates

Fulltime

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Senior Machine Learning Developer

Job Description

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