Senior AI and Machine Learning Engineer Job at Hewlett Packard Enterprise (Bangalore)

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Has experience in providing technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer (AI Tools)

We are looking for a Senior Machine Learning Engineer to join our Chat Group, wh...

Location

Poland

Salary:

Not provided

SmartRecruiters

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
5+ years of experience developing and deploying machine learning systems in production
Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
Advanced Python programming skills and solid software engineering fundamentals
Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
Strong analytical thinking, creativity, and an ownership mindset

Job Responsibility

Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

Fulltime

Senior Machine Learning Engineer, AI Personalization

Block builds simple, powerful tools that make progress towards an economy that's...

Location

United States , Bay Area, CA

Salary:

194500.00 - 343100.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

10+ years building and operating quality software
Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
Led the development of complex models trained on large datasets powering customer facing features
Strong software engineering skills
Strong communication skills and customer empathy
Experience with PyTorch, PySpark, Databricks and AWS is a plus

Job Responsibility

Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
Deploy to production at scale to personalize every user's experience
Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
Design experiments, test them on production users, analyze and repeat

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Senior Machine Learning & AI Engineer

Cogniter Technologies is seeking a highly skilled Senior Machine Learning & AI E...

Location

India , Chandigarh

Salary:

Not provided

Cogniter Technologies

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in Machine Learning and AI development
Strong understanding of ML algorithms, statistics, optimization, and evaluation techniques
Proficiency in Python for data processing, modeling, and API development
Practical experience with PyTorch or TensorFlow
Strong expertise in dataset engineering and feature engineering
Proven experience deploying ML models into production environments
Solid understanding of Docker and backend system integration
Strong analytical thinking and problem-solving skills

Job Responsibility

Design, train, and optimize machine learning and deep learning models for structured and unstructured data
Build end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, validation, and testing
Apply supervised, unsupervised, and semi-supervised learning techniques
Evaluate models using metrics such as precision, recall, F1-score, ROC-AUC, and other performance indicators
Perform hyperparameter tuning to improve accuracy, robustness, and generalization
Create, clean, augment, and manage large-scale datasets
Design synthetic or semi-synthetic data pipelines when labeled datasets are limited
Ensure data integrity, quality control, and proper dataset versioning
Collaborate with data teams to build efficient ETL and feature engineering pipelines
Develop and fine-tune deep learning models using PyTorch or TensorFlow

Fulltime

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

Senior Machine Learning Engineer - Applied AI

Applied AI is a horizontal AI team at Uber collaborating with business units acr...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2 years of Software Engineering work experience, or 5 years Software Engineering work experience
Experience in programming with a language such as Python, C, C++, Java, or Go
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
Experience with SQL and database systems such as Hive, Kafka, and Cassandra
Experience in the development, training, productionization and monitoring of ML solutions at scale
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
Excellent problem-solving and analytical abilities
Proven ability to collaborate effectively as a team player

Job Responsibility

Solve business-critical problems using a mix of classical ML, deep learning, and generative AI
Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives
Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring
Adopt best practices in ML development lifecycle (e.g., data versioning, model training, evaluation, monitoring, responsible AI)
Deliver enduring value in the form of software and model artifacts

Senior Research Engineer Machine Learning, AI for Science

At Microsoft Research AI for Science we believe deep learning has the potential ...

Location

Germany , Berlin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Completed MSc in computer science, machine learning, AI or a related area
Proficiency in collaborative software engineering in Python
Familiarity with Linux and the open-source ecosystem
In-depth understanding of open-source machine learning frameworks such as PyTorch and/or Jax
Experience in designing, developing and deploying ML systems
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs
Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Job Responsibility

Develop and maintain tools, models and technologies for building, training, optimizing and scaling machine learning solutions
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data
Build and optimize distributed data processing and model building pipelines
Prepare and maintain open-source releases and releases for internal and external beta testers
Work cross-functionally with machine learning researchers, engineers and researchers from the natural sciences
Maintain high standards in code quality and software design
Document and share best practices across the organization

Fulltime

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Senior AI and Machine Learning Engineer

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