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

New

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

New

Senior Machine Learning Engineer

IT AND R&D REMOTE - Senior Machine Learning Engineer - RTB House is a global com...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Expertise in designing and implementing complex IT systems
Ability to develop user-friendly, versatile tools
Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux
Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting
Deep understanding of algorithms and data structures
Initiative and creativity to improve existing solutions
Ability to work effectively both within and across teams
C1 level in Polish

Job Responsibility

Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment
Identifying performance bottlenecks and optimizing critical, low-level parts of the system
Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components
Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment

What we offer

Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project
Opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems
Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model
The ability to see the immediate impact of your cooperate on the company's business outcomes
The possibility of publishing your results

Fulltime

New

Senior Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in the ML/Robotics industry
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Proficient in Python and Linux environments
Familiar with modern AI/ML frameworks (e.g., PyTorch).

Job Responsibility

Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies
Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability
Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling
Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

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Senior Machine Learning Developer

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