Cloud Machine Learning Engineer Job at Vodafone (Pune)

Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainiu...

Location

United States , Cupertino; Austin

Salary:

159200.00 - 247600.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
8+ years of design verification experience using System Verilog and UVM
8+ YOE in testbench development including: stimulus, checkers, assertions and coverage

Job Responsibility

Verify custom chip designs at the SOC level
Integrate 3rd party IPs and VIPs into the SOC testbench
Create comprehensive testplans, write robust random testcases, and execute coverage plans
Maintain autosmoke and regression infrastructure
Dive deep into bugs and triages
Mentor junior engineers

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

New

Sr Machine Learning Engineer

Let’s do this. Let’s change the world. We are looking for a highly motivated exp...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Hands-on experience with AWS, Databricks, Apache Spark, PySpark, SparkSQL, Python, and SQL for large-scale data engineering
Strong proficiency in workflow orchestration, Spark performance tuning, and scalable batch and streaming data pipeline development
Experience with real-time data processing and integration using Apache Kafka, Debezium, or similar streaming technologies
Hands-on experience with MLOps tools and practices, including MLflow, model serving, feature stores, experiment tracking, deployment, and lifecycle management
Experience with GenAI engineering practices, including prompt engineering, LLM evaluation, AI observability, agentic workflows, and knowledge graphs
Ability to design and develop APIs or service interfaces for data, ML, and GenAI application integration
Experience with Agile/SAFe delivery models, DevOps practices, CI/CD concepts, and cross-functional team collaboration
Strong analytical, problem-solving, debugging, communication, and teamwork skills
Ability to quickly learn, adapt, and apply emerging technologies across data, ML, and AI engineering
Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of experience years of experience in Computer Science, IT or related field

Job Responsibility

Design, deploy, monitor, and optimize production-grade ML and Generative AI applications for AI-enabled manufacturing solutions
Define technical architecture, engineering standards, and best practices across data engineering, ML, GenAI, analytics, and platform capabilities
Partner with business stakeholders, product owners, and cross-functional teams to translate manufacturing challenges into secure, scalable, production-ready AI and data solutions
Design, develop, and maintain complex ETL/ELT pipelines in Databricks using PySpark, Scala, and SQL for large-scale structured and unstructured data processing
Build efficient ingestion, transformation, migration, and deployment pipelines across databases, APIs, logs, event streams, images, PDFs, documents, and third-party platforms
Design and implement GenAI solutions including RAG, embeddings, vector databases, agentic workflows, tool-calling systems, LLM orchestration, serving optimization, knowledge graphs, and metadata-driven retrieval
Build GenAI applications using frameworks and platforms such as LangChain, LangGraph, LlamaIndex, DSPy, OpenAI APIs, Amazon Bedrock, or equivalent technologies
Develop evaluation and observability frameworks to monitor model quality, hallucination rates, drift, retrieval effectiveness, latency, token usage, cost, reliability, operational health, and business impact
Build and maintain MLOps and LLMOps capabilities, including experiment tracking, model registry, prompt management, versioning, CI/CD, automated testing, deployment automation, monitoring, governance, and release controls
Design scalable data quality, validation, security, privacy, access control, logging, governance, and interoperability capabilities across hybrid cloud environments

Fulltime

New

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

New

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

Master’s / Bachelor’s degree and 5 - 8 years of experience in Software Engineering, Data Science or Machine Learning Engineering Experience
Strong foundation in machine learning algorithms and techniques
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, langchain)
Familiar with AWS, Azure, or Google Cloud

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

New

Associate Machine Learning Engineer

The Associate Machine Learning Engineer position offers a unique opportunity to ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 3 to 5 years of Computer Science, IT or related field experience
Strong foundations in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in model monitoring, including model observability and explainability
Proficiency in Python (or R) and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
Understanding of the LLM inference lifecycle, including prompt execution, retrieval, and response generation
Awareness of common LLM failure modes such as hallucinations, prompt injection, and data leakage

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, Databricks) for ML model development, training, and deployment
Develop solutions using DevSecOps framework that are secure, scalable, reliable, and aligned with enterprise architecture standards
Evaluate model performance using appropriate metrics and optimize models for accuracy and efficiency
Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
Identify and resolve technical challenges effectively
Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
Analyze customer feedback and support data to identify pain points and opportunities for improvement

Fulltime

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

158606.00 - 200052.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
4) Involved with data science platforms including Databricks and SageMaker
5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
7) Experience with software DevOps CI/CD tools and GitLab
8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.

Job Responsibility

Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus or for sales roles, other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program

Fulltime

Senior Machine Learning Engineer - ML Training Infrastructure

We are seeking an experienced, technical oriented, impact delivering-driven expe...

Location

United States , Mountain View

Salary:

170000.00 - 240000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
3+ years professional software engineering experience
2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
Strong programming skills in Python, with proficiency in frameworks such as, PyTorch (preferred), TensorFlow, or similar
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure)
Willingness to travel to Sunnyvale, CA as needed
Comfortable working in highly ambiguous and dynamic environments

Job Responsibility

Design and development of scalable, reliable, high-performance ML framework to support model training at scale
Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost
Raise the bar on system observability, debuggability, and operational excellence, and user experience
Collaborate with cross-functional teams to integrate new features and technologies into the platform

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

GenAI / Machine Learning Engineer - VOIS

We are seeking a GenAI / ML Engineer with 3-4 years of overall professional expe...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

3-4 years of overall experience in software engineering, AI/ML engineering, data engineering, cloud engineering, or related technology roles
At least 1 year of relevant domain experience in areas such as Generative AI, LLM-based applications, NLP or conversational AI, data or analytics engineering, cloud-native development, or enterprise chatbot platforms
Strong hands-on experience with Python for application development, automation, AI/ML workflows, or backend services
Working knowledge of machine learning and Generative AI concepts, including LLMs, embeddings, prompts, and RAG-based patterns
Comfortable working with SQL and enterprise datasets to support analytical and data-driven use cases
Good working knowledge of Google Cloud Platform or similar cloud environments
Experience developing or integrating APIs and backend or cloud-based applications
Ability to debug, test, and optimise AI/ML or data-driven solutions for accuracy, reliability, and performance
Communicate effectively with both technical and business stakeholders and work collaboratively across teams

Job Responsibility

Design, develop, and enhance GenAI and ML-based solutions for enterprise business use cases
Build and improve Natural Language to SQL and Retrieval-Augmented Generation based chatbot capabilities
Develop and maintain Python-based backend services, APIs, and AI workflows supporting LLM-driven applications
Work with Google Cloud Platform services to build, deploy, and optimise scalable, cloud-native AI applications
Improve retrieval quality, prompt orchestration, SQL generation accuracy, chatbot response quality, and overall solution performance
Collaborate with internal stakeholders to translate business requirements into scalable AI/ML product capabilities
Contribute to testing, evaluation, monitoring, documentation, and production-readiness of GenAI solutions
Support continuous improvement of AI engineering practices, including prompt design, evaluation frameworks, observability, and responsible AI usage

What we offer

Opportunity to work on production-grade Generative AI solutions with direct business impact
Hands-on exposure to modern GCP services, cloud-native deployment patterns, and enterprise-scale AI architectures
Experience across LLMs, RAG, Natural Language to SQL, enterprise data platforms, APIs, and chatbot engineering
A high-visibility role with clear growth pathways into senior engineering, technical leadership, solution architecture, or AI product ownership roles

Fulltime

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Cloud Machine Learning Engineer

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