CrawlJobs Logo

AI and Machine Learning Engineer

https://www.hpe.com/ Logo

Hewlett Packard Enterprise

Location Icon

Location:
India, Bangalore

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

AI and Machine Learning Engineer role at Hewlett Packard Enterprise, responsible for conducting advanced research in AI and machine learning, designing and architecting AI solutions for complex problems, and providing technical leadership and mentorship to junior team members.

Job Responsibility:

  • Conduct advanced research in AI and machine learning
  • Stay up to date with latest advancements in the field
  • Explore emerging technologies
  • Identify opportunities to apply cutting-edge techniques
  • Evaluate traditional AI/ML and Gen-AI based applications
  • Design solutions considering scalability, performance, and maintainability
  • Provide technical guidance and mentorship to junior team members
  • Work with stakeholders to understand requirements and translate into technical solutions
  • Collaborate with cross-functional teams
  • Drive continuous improvement and innovation
  • Evaluate and integrate third-party tools
  • Facilitate design review sessions
  • Mentor junior team members during review sessions
  • Collaborate with engineering manager and team lead
  • Participate in and coordinate meetings
  • Prepare and deliver detailed presentations and reports
  • Interpret and report data findings
  • Design and develop solutions to complex application problems

Requirements:

  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Master's degree is desirable
  • Typically 5-7 years' experience
  • Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
  • Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
  • Proficiency in programming languages such as Python, R, or Java
  • Experience with version control systems (e.g., Git)
  • Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
  • Proficiency in using agentic frameworks like langGraph
  • Knowledgeable in lineage tracking of agentic architectures
  • Advanced knowledge and experience in deep learning
  • Understanding of advanced neural network architectures
  • Experience with transfer learning, generative models, and optimization algorithms
  • Excellent communication skills
  • Strong problem-solving and critical thinking abilities

Nice to have:

  • Master's degree
  • Additional skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset
What we offer:
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive benefits suite supporting physical, financial and emotional wellbeing
  • Career development programs

Additional Information:

Job Posted:
November 07, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
View All Jobs In This Company
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI and Machine Learning Engineer

New

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...
Location
Location
Poland , Wroclaw
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
  • 4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
  • Experience in the retail industry or e-commerce is highly desirable
  • Strong problem-solving abilities, solid background in algorithms and data structures
  • Strong proficiency in Python
  • Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
  • Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
  • Proficiency in SQL and experience with relational databases
  • System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
  • Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)
Job Responsibility
Job Responsibility
  • Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
  • Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
  • Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
  • Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
  • Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
  • Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
  • Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration
What we offer
What we offer
  • Paid Vacation
  • Sick Days
  • Sport/Insurance Compensation
  • English Classes
  • Charity
  • Training Compensation
Read More
Arrow Right
New

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...
Location
Location
Turkey , Istanbul
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
  • 4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
  • Experience in the retail industry or e-commerce is highly desirable
  • Strong problem-solving abilities, solid background in algorithms and data structures
  • Strong proficiency in Python
  • Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
  • Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
  • Proficiency in SQL and experience with relational databases
  • System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
  • Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)
Job Responsibility
Job Responsibility
  • Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
  • Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
  • Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
  • Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
  • Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
  • Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
  • Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration
What we offer
What we offer
  • Paid Vacation
  • Hybrid Work (home/office)
  • Sick Days
  • Sport/Insurance Compensation
  • Holidays Day Off
  • English Classes
  • Training Compensation
  • Transportation compensation
Read More
Arrow Right
New

Machine Learning Engineer

As a Machine Learning Engineer at the global jewelry company, you will play a ke...
Location
Location
Salary
Salary:
Not provided
zoolatech.com Logo
Zoolatech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
  • 4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
  • Experience in the retail industry or e-commerce is highly desirable
  • Strong problem-solving abilities, solid background in algorithms and data structures
  • Strong proficiency in Python
  • Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib)
  • Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop
  • Proficiency in SQL and experience with relational databases
  • System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline
  • Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes)
Job Responsibility
Job Responsibility
  • Model Development: Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain
  • Data Pipeline Engineering: Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency
  • Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain
  • Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions
  • Performance Monitoring: Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability
  • Research & Innovation: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes
  • Documentation: Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration
What we offer
What we offer
  • Paid Vacation
  • Sick Days
  • Floating Holidays
  • Sport/Insurance Compensation
  • English Classes
  • Charity
  • Training Compensation
Read More
Arrow Right
New

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....
Location
Location
United States , Boston
Salary
Salary:
170000.00 - 230000.00 USD / Year
whoop.com Logo
Whoop
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
  • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
  • Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience building and scaling large datasets and training large models in distributed compute environments
  • Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
  • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
  • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
  • Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology
Job Responsibility
Job Responsibility
  • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
  • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
  • Develop scalable, distributed training pipelines for large models on high-performance compute environments
  • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
  • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
  • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
  • Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
  • Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI
What we offer
What we offer
  • competitive base salaries
  • meaningful equity
  • benefits
  • generous equity package
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer

Join Truveta’s Intelligence Platform and Applications team to engineer the next ...
Location
Location
United States , Seattle
Salary
Salary:
165000.00 - 190000.00 USD / Year
truveta.com Logo
Truveta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment
  • Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A
  • Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL
  • Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines
  • Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP)
  • B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field
Job Responsibility
Job Responsibility
  • Design and reason with agentic AI frameworks
  • Bring a deep understanding of LLM fundamentals
  • Work fluently with embeddings and vector stores
  • Excel at model fine-tuning
  • Think and build like engineers
  • Collaborate across boundaries
  • Demonstrate senior-level ownership
  • Understand evaluation deeply
  • Adapt and learn continuously
  • Act with purpose
What we offer
What we offer
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)
  • Fulltime
Read More
Arrow Right
New

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...
Location
Location
United States , Seattle
Salary
Salary:
155000.00 - 175000.00 USD / Year
truveta.com Logo
Truveta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in software engineering or machine learning (3+ years with a PhD)
  • Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
  • Deep expertise in NLP, sequence modeling, and transformer architectures
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow
  • strong engineering skills in building scalable ML pipelines
  • Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
  • Proven ability to lead technical projects and collaborate across teams
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
Job Responsibility
Job Responsibility
  • Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
  • apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
  • Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
  • Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
  • Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
  • Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives
What we offer
What we offer
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)
  • Additional compensation such as incentive pay and stock options
  • Fulltime
Read More
Arrow Right
New

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...
Location
Location
United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver
Salary
Salary:
210000.00 - 260000.00 USD / Year
truebill.com Logo
Truebill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional experience in machine learning engineering or data science roles
  • Proven track record of designing and implementing ML systems at consumer tech scale and speed
  • Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
  • Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
  • Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
  • Understanding of ML methods at a fundamental level
  • Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
  • Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
  • Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
  • Technical leader who can identify both emergent technical opportunities and gaps relative to best practice
Job Responsibility
Job Responsibility
  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
  • Design, implement, and maintain robust evaluation frameworks
  • Develop novel new product experiences
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
  • Provide technical mentorship
What we offer
What we offer
  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)
  • Bonus
  • Fulltime
Read More
Arrow Right
New

Machine Learning Engineer

The Personalization (PZN) team makes deciding what to play next on Spotify easie...
Location
Location
United States , New York or Boston
Salary
Salary:
138250.00 - 197500.00 USD / Year
spotify.com Logo
Spotify
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
  • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
  • Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
  • Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
  • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
  • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Job Responsibility
Job Responsibility
  • Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users
  • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be part of an active group of machine learning practitioners
What we offer
What we offer
  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • paid sick leave
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Flexible share incentives letting you choose how you share in our success
  • Global parental leave, six months off - for all new parents
  • Fulltime
Read More
Arrow Right
Welcome to CrawlJobs.com –
Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Australia Jobs Canada Jobs Poland Jobs Ireland Jobs Spain Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
© 2025 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy