Machine Learning Engineer Job at Bright Vision Technologies

Machine Learning Engineer

Join our team as an expert Machine Learning Engineer, where you will leverage yo...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment
Strong background in data preprocessing, including handling missing values, outlier detection, and feature selection
Excellent written and verbal communication skills, with the ability to convey complex technical information clearly
Demonstrated experience in designing and implementing production-ready machine learning systems
Solid understanding of algorithm selection, model evaluation metrics, and performance tuning
Ability to work independently and remotely, delivering results in a fast-paced, deadline-driven environment
Detail-oriented with exceptional problem-solving and analytical skills

Job Responsibility

Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to address real-world business problems
Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development
Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions
Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments
Document model development processes and proactively communicate technical concepts and results with both technical and non-technical team members
Stay abreast of the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes
Contribute to a culture of knowledge sharing, mentorship, and continuous improvement within the customer's team

Fulltime

New

Machine Learning Engineer

We are looking for a hands-on Machine Learning Engineer to join our analytics te...

Location

India , Mumbai; Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Hands-on development expertise for analytics teams working with Data Science
Experience with Python and libraries such as NumPy, Pandas, etc.
Strong understanding of object-oriented programming and its application in Python
Ability to develop algorithms into production code with emphasis on performance and scalability
Experience in applying design and coding best practices, including vectorization
4-7 years of experience in software and/or Python development
Worked with CI/CD, version control (Git), and automated testing in ML projects.

Job Responsibility

Work closely with the Data Science team to develop and implement ML algorithms into production code
Apply design and coding best practices, including vectorization and object-oriented programming in Python
Ensure algorithms cover different scenarios with a focus on performance and scalability
Rapid ramp-up to work on deliverables within Scrum teams
Collaborate with cross-functional teams to integrate ML solutions into production systems
Utilize CI/CD, version control (Git), and automated testing in ML projects.

Fulltime

Machine Learning Engineer

As an ML Engineer you’ll play a crucial role in advancing our shared mission of ...

Location

Germany; Netherlands; France; Serbia; Kazakhstan; Armenia; Finland; United Kingdom , Berlin; Amsterdam; Helsinki; London

Salary:

Not provided

Corsearch

Expiration Date

Until further notice

Requirements

Proven experience as a Machine Learning Engineer with at least 3 years of professional experience
Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras
Experience with image processing, feature extraction, and text preprocessing techniques
Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis
Hands-on experience with large datasets and data pipelines for training and deploying ML models
Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions
Full professional English proficiency

Job Responsibility

Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
Collaborate with cross-functional teams to improve product and system performance
Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations

Fulltime

New

Machine Learning Engineer

Expected to be an SME, collaborate and manage the team to perform.- Responsible ...

Location

India , Gurugram

Salary:

Not provided

Randstad

Expiration Date

July 26, 2026

Requirements

Proficiency in Machine Learning (ML)
Strong knowledge of machine learning model development, evaluation, and deployment
Familiarity with data preprocessing techniques and feature engineering to optimize model performance
Experience in integrating machine learning models into software applications and systems
Ability to work with large datasets and apply statistical methods to extract meaningful insights

Job Responsibility

Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead efforts to identify and implement process improvements that enhance team productivity and software quality
Mentor junior team members to support their professional growth and integration within the team
Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery

Machine Learning Engineer

Design, develop, and deploy Machine Learning models Build end-to-end machine lea...

Location

Thailand , Bangkok

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
Strong experience in Machine Learning Engineering or AI-related roles
Hands-on experience with Python and Machine Learning frameworks
Experience building and deploying ML pipelines and production-grade models
Knowledge of data engineering, data processing, and scalable architectures
Strong analytical and problem-solving skills
Ability to work collaboratively in cross-functional and multicultural environments
Good communication skills in English

Job Responsibility

Design, develop, and deploy Machine Learning models
Build end-to-end machine learning pipelines for data preprocessing, training, evaluation, and deployment
Develop scalable and optimized ML solutions capable of handling large datasets and real-time processing
Collaborate with Data Scientists, Engineers, and business stakeholders to understand requirements and deliver technical solutions
Conduct research on the latest trends and innovations in AI and Machine Learning
Ensure maintainability, scalability, and robustness of ML systems through testing and optimization
Monitor and troubleshoot production ML systems to ensure performance and reliability
Contribute to continuous improvement initiatives and AI best practices
Support automation and optimization of machine learning workflows

What we offer

Global Diversity
Trust and Growth
Continuous Learning
Vibrant Culture
Meaningful Impact

Fulltime

Machine Learning Engineer

You will play a key role in a regulatory submission content automation initiativ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

a Master's degree and 1-3 years of experience in Software Engineering, Data Science or Machine Learning Engineering preferred OR a Bachelor's degree and 3 to 5 years of Software Engineering, Data Science or Machine Learning Engineering OR a Diploma and 7 to 9 years of Software Engineering, Data Science or Machine Learning Engineering experience
Python
TensorFlow
PyTorch
Scikit-learn
langchain
Familiarity with AWS, Azure, or Google Cloud
excellent analytical and troubleshooting skills
strong verbal and written communication skills
ability to work effectively with global, virtual teams

Job Responsibility

Develop and deploy applications that utilize LLMs such as OpenAI GPT 4, Claude, Gemini
Build and maintain MLOps pipelines, including data ingestion, versioning, chunking, vectorization, feature engineering, model training, deployment, and monitoring
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
Implement DevOps/MLOps/LLMOps best practices to automate ML workflows and improve efficiency
Develop and implement monitoring systems to track model performance and identify issues
Conduct A/B testing and experimentation to optimize model performance
Work closely with data scientists, engineers, and product teams to deliver ML solutions
Stay updated with the latest trends and advancements

Fulltime

Machine Learning Engineer

We are currently looking for a Machine Learning Engineer to join our client’s da...

Location

United Kingdom , London

Salary:

60000.00 - 65000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or a related field
Proven experience in data or ML engineering
Strong knowledge of Python and SQL
Hands-on experience with cloud platforms (GCP or Azure) and Databricks
Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML

Job Responsibility

Building and maintaining end-to-end data pipelines and feature engineering workflows
Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML
Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance
Supporting the data warehouse and ensuring data quality, governance, and accessibility
Collaborating with cross-functional teams to deliver trusted datasets and insights

What we offer

Competitive salary with annual reviews
Hybrid working model offering flexibility
Generous holiday allowance that increases with service
Onsite wellness facilities, subsidised meals, and gym access
Access to wellbeing support services and employee assistance programmes
Clear career progression and opportunities to work with cutting-edge tech

Fulltime

Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer with a strong MLOps ba...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree with 5+ years of experience in Computer Science, IT or related field
OR Bachelor’s degree with 7-9+ years of experience in Computer Science, IT or related field
Solid foundation in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Outstanding analytical and problem-solving skills
Ability to learn quickly
Good communication and interpersonal skills

Job Responsibility

Collaborate with data scientists to develop, train, and evaluate machine learning models
Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency
Develop and implement monitoring systems to track model performance and identify issues
Conduct A/B testing and experimentation to optimize model performance
Work closely with data scientists, engineers, and product teams to deliver ML solutions
Stay updated with the latest trends and advancements

Fulltime

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Machine Learning Engineer

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