Telangana Model based manufacturing engineer Jobs – 131 Open Jobs Today

Associate Machine Learning Engineer
Amgen —Hyderabad, Telangana
- Computer Science
- Master's degree
- Databases
Surface Design Engineer – Protective Gear / Helmets
ASTHRA PROJECTS —KPHB Colony, Hyderabad, Telangana
- ₹25,000 - ₹35,000 a month
- Full-time
- Bachelor's degree
- In-person
- Automotive diagnostics
- Commuter assistance
- Health insurance
Quick apply
4d
Model-based Manufacturing Engineer
AST SpaceMobile —Hyderabad, Telangana
- Weekend availability
- English
- Microsoft Office
- Bachelor's degree
New Product Engineer
GEEKAY WIRES LTD —Medak, Telangana
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
- AutoCAD
- Bachelor's degree
- Construction experience
- Health insurance
Quick apply
Computational Modeling Engineer – Discrete Manufacturing Modeling
Eli Lilly —Hyderabad, Telangana
- Full-time
- Doctoral degree
- Research
- Master's degree
3d
Design Verification Engineer
Micron —Hyderabad, Telangana
- AI
Machine Learning Engineer
The Goodyear Tire & Rubber Co. —Hyderabad, Telangana
- Full-time
- Computer Science
- English
- SQL
11d
Data Scientist
NYB INFOTECH —Hyderabad, Telangana
- ₹10,00,000.31 - ₹35,00,000.94 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
4d
Data Engineer
Prolifics —Hyderabad, Telangana
- Master's degree
- SQL
- Bachelor's degree
Machine Learning Engineer
Amgen —Hyderabad, Telangana
- Azure
- Software troubleshooting
- Master's degree
Custom Software Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Analysis skills
- APIs
- Agile
Head of Supply Chain
QUESS CORP LTD —Hyderabad, Telangana
- Up to ₹30,00,000 a year
- Urgently hiring
- Engineering
- Master's degree
- Analysis skills
Quick apply
R&D Engineer
ABB Global Industries and Services Private Limited —Hyderabad, Telangana
- Online application
- CAD
- English
- Microsoft Office
Quick apply
2d
GEN AI Developer
BirlaSoft —Hyderabad, Telangana
- Azure
- Computer Science
- Master's degree
Data Scientist (Commercial)
Amgen —Hyderabad, Telangana
- Master's degree
- SQL
- Bachelor's degree
SolidWorks Design Engineer
G Group Engineering & Architectural Consultants —Cherlapalli, Hyderabad, Telangana
- From ₹50,000 a month
- Full-time
- AutoCAD
- Assembly
- In-person
Quick apply
Infrastructure Engineer
Gradera Inc. —Hyderabad, Telangana
- Full-time
- Azure
- AWS
- Linux
Quick apply
Prinicipal Digital Solutions Engineer
Eli Lilly —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- B.Sc
3d
Computational Modeling Engineer – Process Modeling
Eli Lilly —Hyderabad, Telangana
- Full-time
- Doctoral degree
- Master's degree
- APIs
2d
Senior Delivery Manager / Delivery Lead
Accellor —Hyderabad, Telangana
- Full-time
- Remote
- Azure
- PMP
- AWS
- Health insurance
- Paid time off
Quick apply

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Associate Machine Learning Engineer

Amgen -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

TensorFlow
Performance tuning
Law
Computer Science
Kubernetes
PyTorch
Big data
Spark
R
Master's degree
Databases
OS Kernels
AWS
Docker
Machine learning
Splunk
Agile
AI
Communication skills
Python
Hadoop

Full job description

India - Hyderabad

JOB ID: R-245678 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Aug. 13, 2026 CATEGORY: Manufacturing

ABOUT THE ROLE

Role Description:

The Associate Machine Learning Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You’ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen’s Applied AI & Automation Footprint.

The role is responsible for building and scaling our AI and machines learning solutions from development to production. Your expertise in MLOps will be essential in creating efficient and reliable ML pipelines. The role represents working in the solution engineering and DevOps teams to lead the transition from Intelligent automation to Agentic Process Automation and ensures that strategy and implementation remain connected throughout the value stream. The ideal candidate has experience in building AI & ML solutions, has excellent communication skills, and an understanding of Agile methodologies.

This role focuses on supporting the development, deployment, operation, and reliability of AI and LLM‑based solutions in production environments, working under guidance of senior engineers and platform teams. The position emphasizes operational excellence, observability, and compliance for applied AI and GenAI systems.

Roles & Responsibilities:

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
Evaluate and recommend technologies and tools that best fit the solution requirements
Support operationalization of machine learning and GenAI models developed by data scientists and solution teams.
Assist in evaluating model and LLM performance using metrics related to reliability, efficiency, and response quality.
Support deployment and operation of LLM‑based workflows, including prompt configurations, retrieval‑augmented generation (RAG) pipelines, and agent‑based automations.
Assist with monitoring AI and LLM systems for availability, latency, error rates, and quality degradation.
Support model, prompt, and pipeline versioning across development, test, and production environments.
Participate in incident triaging, root cause analysis, and rollback or mitigation activities for AI services.
Assist with evaluation runs for LLM outputs, including grounding, reliability, and safety checks.
Follow established AI governance, security, and compliance standards when operating AI and GenAI solutions.
Monitor AI and LLM endpoints for availability, latency, throughput, and error rates using enterprise monitoring tools.
Assist with dashboards, alerts, runbooks, and operational documentation to support reliable AI system operations.

Basic Qualifications and Experience:

Any degree and 3 to 5 years of Computer Science, IT or related field experience

Functional Skills:

Must-Have Skills:

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.

Good-to-Have Skills:

Good understanding of cloud platforms (e.g., AWS, Databricks) and containerization technologies (e.g., Docker, Kubernetes)
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
Experience with data processing tools like Hadoop, Spark, or similar
Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
Ability to analyze client requirements and translate them into solutions
Exposure to LLM evaluation techniques beyond accuracy, including grounding, faithfulness, latency, and reliability of metrics.

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated awareness of presentation skills

Apply Now

Refine Your Search

model based manufacturing engineer jobs in telangana

Associate Machine Learning Engineer

Surface Design Engineer – Protective Gear / Helmets

Model-based Manufacturing Engineer

New Product Engineer

Computational Modeling Engineer – Discrete Manufacturing Modeling

Design Verification Engineer

Machine Learning Engineer

Data Scientist

Data Engineer

Machine Learning Engineer

Custom Software Engineer

Head of Supply Chain

R&D Engineer

GEN AI Developer

Data Scientist (Commercial)

SolidWorks Design Engineer

Infrastructure Engineer

Prinicipal Digital Solutions Engineer

Computational Modeling Engineer – Process Modeling

Senior Delivery Manager / Delivery Lead

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