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

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

Senior Data Scientist

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

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

Senior Software Specialist - AI/ML - Ads

Ads is the largest revenue generator at Meta and Ads Quality represents around 2...

Location

Switzerland , Zurich

Salary:

Not provided

People Technology AI Specialist

We at Coursera are seeking a highly skilled and motivated People Technology AI S...

Location

India , Delhi/NCR

Salary:

Not provided

Coursera

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Machine Learning, or a related field (required)
3+ years of experience in AI/ML development, with a focus on predictive modelling and data-driven insights
Proven experience in deploying AI solutions using platforms like Google AI, AWS, Microsoft Azure, or similar
Proficiency in programming languages such as Python, Java, or similar for AI tool customization and deployment
Strong understanding of APIs, cloud services, and integration of AI tools with existing systems
Proficiency in building and scaling AI pipelines for data engineering, model training, and monitoring
Experience with frameworks and libraries for building AI agents, such as LangChain, AutoGen
Familiarity with designing autonomous workflows using LLMs and external APIs
Strong understanding of HR systems (e.g., Workday, Greenhouse, etc.)
Proven ability to translate business needs into technical or analytical solutions

Job Responsibility

Design, build, and deploy AI tools to streamline HR processes (e.g., recruiting, onboarding, performance, and learning systems) using tools and platforms from Google AI, AWS, or other providers
Partner with the People Analytics team to develop machine learning models that deliver predictive insights into retention, engagement, and workforce trends
Collaborate with People Technology Systems Administrators to integrate AI technologies into existing platforms like Workday and Greenhouse
Identify opportunities to use generative AI and agents to enhance employee self-service, knowledge management, and communications
Establish responsible AI practices within People systems, ensuring data privacy, bias mitigation, and compliance with global regulations
Evaluate and implement AI-enabled HR technologies and assess new solutions
Partner with the HR team to drive adoption of AI-powered capabilities through training, documentation, and change management

AI Specialist - Product and Applied Research

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , Menlo Park

Salary:

217000.00 USD / Year ▼

AI Specialist - Product and Applied Research

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologie...

Location

United States , Menlo Park

Salary:

181000.00 USD / Year ▼

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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