Machine Learning Developer Job at Nondestructive & Visual Inspection

Machine Learning Developer

Edaptive Computing, Inc. (ECI) requires a Machine Learning Developer with experi...

Location

Salary:

Not provided

Edaptive Computing

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science/Any Engineering
Knowledge of Neural Networks or similar machine and deep learning techniques
Knowledge of Python
Knowledge of Java or similar object-oriented languages
Capability to perform complex research
Capability to work independently to meet timely goals
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
ability to clearly present analysis proposals and results

Job Responsibility

Investigation, identification, and application of innovative software solutions in areas such as machine learning, data mining, and big data processing
Research and develop applications of advanced machine learning techniques
Demonstrate through software prototypes and experimentation
Assist in transition to production applications
Apply proven problem-solving, analytical and communication skills to successfully apply complex techniques and tools to automate the analysis of large, complex data

What we offer

competitive benefits package

Fulltime

Python Developer (Machine Learning_ Devops_AI)

We are seeking a highly motivated and skilled Junior Developer with a strong fou...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Excellent proficiency in Python is mandatory
Solid understanding of core machine learning and artificial intelligence principles, algorithms, and methodologies
Hands-on experience in developing, training, and evaluating ML models
Ability to deploy ML models into production environments
Practical experience with Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques and libraries
Awareness of LLM concepts and experience in interacting with LLM APIs
Strong ability to write clear, concise, and effective prompts for LLM APIs
Awareness of RAG principles and architectures
Ability to write effective unit and integration tests
Awareness of dockerization and experience in creating and using CI/CD pipelines with at least one tool (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions)

Job Responsibility

Design, develop, and deploy machine learning and AI models, including those for Natural Language Processing (NLP) and Optical Character Recognition (OCR)
Create and iterate on prototypes rapidly to demonstrate the feasibility of AI/ML solutions
Work with various data sources to clean, preprocess, and prepare data for model training
Collaborate with senior developers and data scientists to integrate AI/ML functionalities into existing and new applications
Utilize Large Language Model (LLM) APIs effectively by crafting precise and efficient prompts
Participate in code reviews, ensuring code quality, performance, and adherence to best practices
Write comprehensive unit and integration tests to ensure code quality and reliability
Continuously learn and stay updated with the latest advancements in AI, Machine Learning, and related technologies
Document development processes, model architectures, and deployment procedures

Fulltime

Python Developer (Machine Learning)

Discover your future at Citi. Working at Citi is far more than just a job. A car...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of total experience
Strong programming skills in Python, and familiarity with libraries like Transformers, Pandas, scikit-learn, Seaborn, LangChain, LlamaIndex, PyTorch, or TensorFlow
Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases
Understanding of MLOps, model evaluation, prompt tuning, and deployment pipelines
Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma, Hugging Face, etc
Create robust prompt engineering strategies and reusable prompt templates
Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools

Fulltime

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 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

Temporary Online Course Developer - Machine Learning Engineering and MLOps

Brandeis University’s Rabb School of Continuing Studies is seeking a skilled onl...

Location

United States

Salary:

Not provided

Brandeis University

Expiration Date

Until further notice

Requirements

Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering)
Industry experience in MLOPS, ML Platform development, production of ML systems or related fields
Experience in end-to-end machine learning engineering, including feature engineering model training, containerization, model monitoring, and responsible deployment practices
Strong knowledge of interdisciplinary leadership practices, project execution, and stakeholder communication
At least 1 year of teaching or training experience (preferably online/asynchronous)
Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
Proficiency with LMS platforms and digital authoring tools
Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork
Strong communication, organization, and independent work skills
Familiarity with curriculum design, accreditation standards, and graduate-level rigor

Job Responsibility

Design and build a new three credit asynchronous online course
Development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards
Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes
Responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines
Collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones
Course drafts will be submitted at designated intervals for feedback

Parttime

Machine Learning & AI Developer

We are seeking a Machine Learning & AI Developer to design, build, and deploy da...

Location

Czech Republic , Prague

Salary:

Not provided

Sport Vision Czechia s.r.o.

Expiration Date

Until further notice

Requirements

Proven experience (industry or advanced academic) in machine learning and/or applied AI, ideally on structured, time series, or geospatial data
Strong Python skills with common ML/AI and data science libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch and/or TensorFlow)
Hands‑on experience with deep learning architectures (e.g., CNNs)
exposure to image‑like or gridded data architectures (e.g., U‑Net) is a plus
Solid understanding of ML fundamentals (training, validation, overfitting, metrics, hyperparameter tuning)
Experience with large, complex datasets, including data cleaning, feature engineering, and efficient processing
Secondary education or professional training with a school-leaving exam
English (Proficient)

Job Responsibility

Develop and implement ML/AI solutions to improve catastrophe models, focusing on flood hazard and risk
Build global flood risk quality classification models using geospatial, hydrological, and exposure datasets
Contribute to the design, development, and maintenance of the Impact Forecasting Knowledge Hub (AI chatbot), including data pipelines, model selection, and monitoring
Research and implement precipitation downscaling methods (e.g., CNNs, U‑Nets, diffusion, generative models) to improve spatial and temporal resolution of inputs
Design, run, and document proof‑of‑concept (PoC) studies, from problem framing to evaluation and recommendations

What we offer

Cell phone
Flexible start/end of working hours
Notebook
Occasional work from home
Refreshments on workplace
Sick days
pension scheme contributions
in-office massages
language courses
ergonomic tables

Fulltime

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Machine Learning Developer

Job Description

Job Responsibility

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