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, 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

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

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

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

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Senior Machine Learning Developer

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