Ai training - machine learning specialist Job at Prolific

AI & Analytics Workload Specialist

The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skille...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases
proven experience developing or deploying AI-powered applications such as Retrieval-Augmented Generation (RAG) systems, conversational AI/chatbot solutions, ML model pipelines for analytics or inference
strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs)
hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering
experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus
familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus
strong written and verbal communication skills, with the ability to explain complex technical ideas clearly
bachelor’s degree in computer science, Data Science, Engineering, or a related technical field.

Job Responsibility

apply technical expertise to design and validate AI/Analytics workload solutions
contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials
collaborate with stakeholders to define the scope and align solutions with business needs
leverage internal infrastructure and AI-powered tools to accelerate development and validation
create compelling enablement content for the field, partners, and customers
support solution adoption through TekTalks, webinars, Slack forums, and internal events
integrate assets with field tools and help measure asset utilization
invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP)
contribute to team goals, mentor peers, and participate in a collaborative engineering environment.

What we offer

health and wellbeing benefits
personal and professional development programs
inclusive workplace environment.

Fulltime

New

AI Trainer – Machine Learning Specialist

We’re looking for AI Trainer – Machine Learning Specialists to help train and ev...

Location

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
A willingness to take our skills verification test to assess your suitability for our participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A willingness to self-declare your earnings, as our participants are self-employed
A Paypal account to receive payment from our clients

Job Responsibility

Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth

What we offer

Competitive pay rates
Flexible hours
Ability to work from home

Data Science & AI Specialist

We are looking for a Data Science & AI Specialist to obtain value from the full ...

Location

United Kingdom , London

Salary:

Not provided

Plusnet

Expiration Date

January 26, 2026

Requirements

2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models
Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions
Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries
Solid understanding of software architecture, data modeling, and various data structures
Knowledge of data governance practices to ensure data quality, security, and compliance
Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions
Research skills to stay up-to-date with the latest AI trends and continue to learn new techniques
Excellent communication – the ability to listen and to share ideas clearly to a range of audiences
Experience in leading, managing and/or coaching others – particularly those in technical roles, whether as a line manager or not

Job Responsibility

Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services
Drives model development, including data exploration, training data, feature extraction, validation and scoring
Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience
Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning
Leverage Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines, and Endpoints, to streamline the process of building, training, evaluating, and deploying models at scale
Implement and maintain robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes
Collaborate on data acquisition, preprocessing, feature engineering, and data analysis to prepare large datasets for model training
Leads the identification of opportunities and implementation of Sagemaker machine learning techniques to derive business insights
Drives machine learning model development, including data exploration, training data, feature extraction, validation and scoring
Contributes towards the development of machine learning guidelines, policies, and architecture which supports scalable machine learning pipelines

What we offer

Annual On target bonus 10% (personal and company multipliers)
BT Pension scheme
minimum 5% employee contribution, BT contribution 10%
Life Assurance
Direct share scheme
Exclusive colleague discounts on our latest and greatest BT broadband packages
50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans
My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers
Discounted EE TV including TNT Sport and the NOW Entertainment membership
Great support for working parents including pay whilst on maternity, adoptive, and paternity leave

Fulltime

New

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

New

Military Writing Expert

We are hiring military writing experts to develop fine-tuned LLMs for national s...

Location

United States , St. Louis

Salary:

10000.00 USD / Month

Chameleon Integrated Services

Expiration Date

Until further notice

Requirements

10+ years as a military officer with intelligence, operations, aviation, or ground combat as your primary occupational specialty
One tour as an O-4 or higher in a General Officer-level command (e.g. G-level or J-level staff in an intelligence, operations, or plans directorate
Graduate of a joint or service intermediate-level school (e.g. Command and General Staff College)
Deep interest in AI / ML applications for national security purposes
A strong orientation towards outcomes and a history of being scrappy when it counts
Top Secret clearance or willingness to obtain one (preferred)

Job Responsibility

Audit and create high quality data related to military topics (written analyses of doctrinal, operational, and strategic documents) used to drive AI innovation
Interface with machine learning engineers to align on approaches to generative AI tasks like model comparison or prompt response pairs
Work with an operations team to improve overall workflows for generative AI tasks
Partner with product managers to provide user feedback on AI Defense Tools
Review and write analyses of doctrinal, operational, and strategic documents, which will later be used to train and evaluate AI models
Train and mentor junior AI writing specialists working on these projects
Regularly interface with machine learning engineers and operations teammates to optimize our workflows for improved model outcomes.

What we offer

Competitive Employee Health Insurance options including dental
100% company paid vision plan
401K plan with generous company match and no vesting period
100% company paid life insurance
100% company paid long and short-term disability insurance
Training allowance
PTO and more

AI/ML Specialist

VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engi...

Location

Bahrain , Manama

Salary:

Not provided

IAG GBS

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science / Engineering
Preferably BE Computer Science & Engineering
Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services
Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate
Professional Licenses Required Not applicable
Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning
Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures
Several years of ML experience with implemented use cases
Hands-on work experience most of which in banking, financial institutions, or insurance industries
Ability to build and deploy ML models using Python and relevant libraries

Fulltime

New

Research Engineer / Scientist - Post-training

At Luma, the Post-training team is responsible for unlocking creative control in...

Location

United States , Palo Alto

Salary:

187500.00 - 395000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies
Demonstrated ability to do independent research in Academic or Industry settings
Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures
Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization
Strong orientation toward applied AI implementations with emphasis on translating product requirements into technical solutions, coupled with exceptional visual discrimination and dedicated focus on enhancing visual fidelity and aesthetic quality of generated content
Proficiency in accelerated prototyping and demonstration development for emerging features, facilitating efficient iteration cycles and comprehensive stakeholder evaluation prior to production implementation
Established track record of effective cross-functional teamwork, including successful partnerships with teams spanning Product, Design, Evaluation, Applied, and creative specialists

Job Responsibility

Optimize Luma's image and video generative models through targeted fine-tuning to improve visual quality, instruction adherence, and overall performance metrics
Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards
Partner closely with the Applied Research team to identify product requirements, understand diverse use cases across Luma's platforms, and execute targeted fine-tuning initiatives to address performance gaps and enhance user-facing capabilities
Conduct comprehensive side-by-side evaluations comparing model performance against leading market competitors, systematically analyzing the impact of post-training techniques on downstream performance metrics and identifying areas for improvement
Develop advanced post-training capabilities for Luma’s video models including Camera control, Object & character Reference, Image & Video Editing, Human Performance & Motion Transfer Approaches
Architect data processing pipelines for large-scale video and image datasets, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories
Research and deploy cutting-edge diffusion sampling methodologies and hyperparameter optimization strategies to achieve superior performance on established visual quality benchmarks
Research emerging post-training methodologies in generative AI, evaluate their applicability to Luma's product ecosystem, and integrate promising techniques into our Post-training recipe

Fulltime

New

GNC Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Ai training - machine learning specialist

Prolific

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 09, 2026

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Ai training - machine learning specialist

Prolific

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Category:IT - Software Development

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Job Description:

Job Responsibility:

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Additional Information:

Job Posted:January 09, 2026

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Job Posted:
January 09, 2026