Bachupally Hyderabad Telangana Machine learning engineer Jobs – 6021 Open Jobs Today

Machine Learning Engineer
Amgen —Hyderabad, Telangana
- Azure
- Software troubleshooting
- Master's degree
Machine Learning Algorithm Engineer
Ceremorphic Technologies —Hyderabad, Telangana
- ₹0 a year
- Full-time
- C++
- Machine learning
- APIs
Quick apply
R-D Engineer II
Medtronic —Nanakramguda, Hyderabad, Telangana
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Machine Learning Compiler Engineer
Ceremorphic Technologies —Hyderabad, Telangana
- ₹0 a year
- Full-time
- C++
- Machine learning
- APIs
Quick apply
SDE- I
Bluphlux —Hyderabad, Telangana
- Full-time
- System design
- Java
- Master's degree
Network Engineer
Sioniq —Hyderabad, Telangana
- ₹4,00,000 - ₹5,00,000 a year
- Full-time
- Azure
- Computer Science
- AWS
Quick apply
Machine Learning Engineer IV
Brightstar Lottery —Hyderabad, Telangana
- Azure
- Computer Science
- Master's degree
Associate Machine Learning Engineer
Amgen —Hyderabad, Telangana
- Computer Science
- Master's degree
- Databases
Implementation Engineer
Wexa AI —Hyderabad, Telangana
- Up to ₹8,00,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
Machine Learning Engineer
The Goodyear Tire & Rubber Co. —Hyderabad, Telangana
- Full-time
- Computer Science
- English
- SQL
Associate Machine Learning Engineer
The Goodyear Tire & Rubber Co. —Hyderabad, Telangana
- Full-time
- Computer Science
- English
- SQL
12d
Site Reliability Engineer
HCLTech —Hyderabad, Telangana
- Azure
- AWS
- Scripting
Machine Learning Engineer
Zessta —Hyderabad, Telangana
- Full-time
- Java
- Master's degree
- C++
System Engineer Hyderabad, India Jul. 31, 2026
Alter Domus —Hyderabad, Telangana
- Microsoft Access
- Windows
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machine learning engineer
CRED —Hyderabad, Telangana
- ₹50,000 - ₹5,00,000 a year
- Full-time
- System design
- Java
- Machine learning
Analytical Scientist II
AVEVA DRUG DELIVERY SYSTEMS INC —Kukatpally, Hyderabad, Telangana
- ₹8,00,000 - ₹9,00,000 a year
- B.Sc
- Laboratory experience
- English
Product Support Engineer
Enea —Hyderabad, Telangana
- ₹6,00,000 - ₹9,00,000 a year
- Weekend availability
- Azure
- Computer Science
- English
- Health insurance
- Paid time off
ML Engineer I
UST —Hyderabad, Telangana
- DevOps
- Master's degree
- AWS
Quick apply
11d
Data Analyst/PowerBI Engineer
ProArch —Hyderabad, Telangana
- Full-time
- Remote
- Computer science
- Microsoft Excel
- Data analysis skills
Quick apply
Senior SDET - 2026
AutoRABIT Holding Inc. —Hyderabad, Telangana
- ₹20,00,000 - ₹32,00,000 a year
- Full-time
- CRM software
- Salesforce
- Java

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Machine Learning Engineer

Amgen -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Software troubleshooting
Kubernetes
Computer vision
Software deployment
Spark
R
AWS Certification
Test automation
NoSQL
Git
Google Cloud Platform
Master's degree
Databases
SQL
OS Kernels
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Risk management
Forecasting
Natural language processing
APIs
ETL
Agile
Predictive analytics
S3
Data science
Training & development
AI
Communication skills
Python
AWS Certified Solutions Architect – Professional

Full job description

India - Hyderabad

JOB ID: R-250971 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Aug. 31, 2026 CATEGORY: Engineering

Role Description

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and support scalable machine learning solutions. This role will develop predictive models, build reusable machine learning pipelines, operationalize models through MLOps practices, and monitor model performance in production.

The ideal candidate has strong hands-on experience with machine learning algorithms, predictive modeling, forecasting, Python, feature engineering, model training and evaluation, AWS cloud services, and production ML operations. Experience developing Generative AI and Large Language Model applications is also preferred.

The candidate will collaborate with data scientists, data engineers, software engineers, product teams, and business stakeholders to deliver secure, reliable, and scalable machine learning solutions.

Roles and Responsibilities

Design, develop, train, evaluate, and deploy predictive machine learning models for time-series forecasting, classification, regression, anomaly detection, clustering, recommendation, and other business use cases.

Perform data exploration, preprocessing, feature engineering, feature selection, and model experimentation.

Select appropriate machine learning algorithms, forecasting methods, and evaluation metrics based on business and technical requirements.

Build reusable machine learning pipelines covering data ingestion, feature engineering, training, validation, deployment, monitoring, and retraining.

Develop forecasting solutions using historical data, time-series features, backtesting, and appropriate validation techniques.

Optimize model performance through hyperparameter tuning, cross-validation, experimentation, and error analysis.

Develop and maintain production APIs and services that expose machine learning capabilities to applications and downstream consumers.

Implement MLOps practices, including experiment tracking, model versioning, model registries, automated testing, CI/CD, and reproducible deployments.

Develop, deploy, and operate machine learning workloads primarily on AWS.

Develop monitoring and alerting solutions for model accuracy, forecast performance, data quality, drift, bias, latency, reliability, and infrastructure performance.

Establish automated or controlled model-retraining and deployment processes.

Conduct A/B testing and experimentation to evaluate model and application effectiveness.

Develop machine learning solutions that are scalable, secure, explainable, maintainable, and cost-efficient.

Implement responsible AI, security, privacy, access-control, and governance requirements.

Troubleshoot model, data, pipeline, application, and production-environment issues.

Develop Generative AI applications using Large Language Models and Retrieval-Augmented Generation where appropriate.

Build LLM solutions involving document processing, chunking, embeddings, vector search, prompt engineering, evaluation, and monitoring.

Collaborate with data scientists, data engineers, software engineers, DevOps teams, product teams, and business stakeholders.

Participate in technical design discussions, code reviews, sprint planning, backlog refinement, and estimation activities.

Maintain model documentation, technical specifications, operational procedures, and deployment standards.

Stay current with advances in machine learning, forecasting, MLOps, Generative AI, and cloud technologies.

Participate in production support activities, including occasional off-hours support.

Functional Skills

Must-Have Skills

Strong foundation in supervised and unsupervised machine learning algorithms, predictive modeling, statistical methods, and model evaluation.

Strong hands-on experience with Python and SQL.

Experience with machine learning libraries such as Scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent technologies.

Experience with data preprocessing, feature engineering, model selection, model training, hyperparameter tuning, and evaluation.

Hands-on experience developing predictive models and time-series forecasting solutions, including feature engineering, backtesting, model evaluation, and performance monitoring.

Experience developing and deploying production machine learning models.

Understanding of classification, regression, forecasting, clustering, anomaly detection, and recommendation techniques.

Experience implementing MLOps pipelines for model development, deployment, monitoring, versioning, and retraining.

Experience with experiment tracking, model registries, data versioning, and reproducible machine learning workflows.

Hands-on experience with cloud-based machine learning development and deployment, with AWS strongly preferred.

Experience with AWS services such as SageMaker, S3, Lambda, ECR, ECS, EKS, Step Functions, CloudWatch, or equivalent services.

Experience building APIs or services for machine learning models.

Experience with Git, CI/CD, automated testing, Docker, and software-engineering best practices.

Understanding of model monitoring, data drift, concept drift, bias, explainability, and model-performance degradation.

Strong analytical, debugging, troubleshooting, and problem-solving skills.

Ability to work effectively in Agile and cross-functional delivery teams.

Good-to-Have Skills

Experience with advanced time-series forecasting, natural language processing, computer vision, recommendation systems, or optimization models.

Experience with statistical forecasting methods and machine learning-based forecasting approaches.

Experience with Amazon SageMaker, MLflow, Databricks Machine Learning, Azure Machine Learning, Vertex AI, or equivalent platforms.

Experience with AWS-native MLOps architectures and services.

Experience with Kubernetes, infrastructure as code, and cloud-native deployment patterns.

Experience with feature stores, distributed model training, automated retraining, and model-serving platforms.

Experience with data engineering, ETL/ELT pipelines, Apache Spark, PySpark, or Databricks.

Experience with responsible AI, explainability, fairness, model-risk management, and AI governance.

Experience building applications using Large Language Models such as OpenAI GPT, Claude, Gemini, Amazon Bedrock models, or equivalent enterprise-approved models.

Experience with Retrieval-Augmented Generation, embeddings, vector databases, document processing, prompt engineering, and LLM evaluation.

Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable AI application frameworks.

Experience with relational, NoSQL, analytical, or vector databases.

Experience with Azure or Google Cloud machine learning services is beneficial.

Experience delivering solutions within biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.

Basic Qualifications

Master’s or Bachelor’s degree and 5–8 years of experience in Software Engineering, Data Science, Machine Learning Engineering, Computer Science, Information Technology, or a related field.

Preferred Certifications

AWS Certified Machine Learning Engineer – Associate or another relevant AWS certification.

AWS Certified Solutions Architect certification.

Databricks Machine Learning certification.

Microsoft Azure AI Engineer, Azure Data Scientist, or Google Cloud Professional Machine Learning Engineer certification.

Relevant DevOps, Kubernetes, data engineering, or AI certification.

Soft Skills

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills.

Ability to work effectively with global and virtual teams.

High degree of initiative, ownership, and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented mindset with a focus on achieving shared goals.

Strong presentation and public-speaking skills.

Ability to explain machine learning models, forecasts, and results to technical and non-technical stakeholders.

Strong attention to detail and commitment to quality and responsible AI practices.

Apply Now

Refine Your Search

machine learning engineer jobs in bachupally hyderabad telangana

Machine Learning Engineer

Machine Learning Algorithm Engineer

R-D Engineer II

Machine Learning Compiler Engineer

SDE- I

Network Engineer

Machine Learning Engineer IV

Associate Machine Learning Engineer

Implementation Engineer

Machine Learning Engineer

Associate Machine Learning Engineer

Site Reliability Engineer

Machine Learning Engineer

System Engineer Hyderabad, India Jul. 31, 2026

machine learning engineer

Analytical Scientist II

Product Support Engineer

ML Engineer I

Data Analyst/PowerBI Engineer

Senior SDET - 2026

I want to receive the latest job alerts for machine learning engineer in bachupally hyderabad telangana

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