Ameerpet Hyderabad Telangana Ai/ml engineer Jobs – 1075 Open Jobs Today

IC4 - ML Engineer AI COE
Protolabs —Hyderabad, Telangana
- ₹22,25,608 - ₹33,38,412 a year
- Full-time
- Computer Science
- Master's degree
- SQL
Quick apply
1d
AI/ML Engineer
SoulPage IT Solutions —Hyderabad, Telangana
- Full-time
- Remote
- Computer Science
- B.Sc
- Engineering
AI/ML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
- Health insurance
7d
ML Engineer I
UST —Hyderabad, Telangana
- Master's degree
- APIs
- AI
Quick apply
Hiring: Generative AI Engineer with Data Annotation Experience
WORLDWIDE TECHNOLOGY SERVICES LLC —Hyderabad, Telangana
- Up to ₹5,00,000 a year
- Full-time
- Azure
- Databases
- AWS
Quick apply
QA Engineer (AI/ML) – Banking Domain
Softomatic Technology Services —Hyderabad, Telangana
- ₹5,00,000 - ₹15,00,000 a year
- Weekend availability
- Java
- SQL
- Bachelor's degree
Quick apply
Software Engineer, AI/ML
ValGenesis —Hyderabad, Telangana
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Agentic AI Engineer (AI/ML)
Technology Next —Hyderabad, Telangana
- ₹80,000 - ₹1,00,000 a month
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
6d
AI/ML Engineer – Agentic AI
INDUANSH PRIVATE LIMITED —Hyderabad, Telangana
- ₹80,000 - ₹1,10,000 a month
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
5d
AI/ML Engineer/Architect (Open)
Micron —Hyderabad, Telangana
- Computer Science
- Research
- Master's degree
ML Engineer
Saaki Argus & Averil Consulting —Hyderabad, Telangana
- SQL
- Machine learning
- Training & development
Quick apply
AI / ML Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Machine learning
- AI
Generative AI Engineer
Techolution —Hyderabad, Telangana
- Full-time
- Master's degree
- Databases
- AI
- Health insurance
IC1 - ML Platform & Full stack AI Engineer
Protolabs —Hyderabad, Telangana
- ₹31,53,320 - ₹39,41,650 a year
- Full-time
- Machine learning
- AI
Quick apply
1d
AI/ML Engineer
Coherent Corp. —Hyderabad, Telangana
- Full-time
- Data analysis skills
- Master's degree
- SQL
13h
AI/ML Engineer (Python + LLM)
Jade Global —Hyderabad, Telangana
- Full-time
- Master's degree
- SQL
- APIs
AI Engineer - India
Pulsora, Inc. —Hyderabad, Telangana
- Full-time
- Computer Science
- Java
- Master's degree
AI / ML Engineer
Proclink —Hyderabad, Telangana
- Full-time
- Computer Science
- Java
- Master's degree
Gen AI Engineer
WalkingTree Technologies —Hyderabad, Telangana
- Full-time
- Master's degree
- APIs
- AI
ML Engineer & Data Scientist (Life Sciences AI)
Katalyst Healthcares & Life Sciences —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply

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IC4 - ML Engineer AI COE

Protolabs -
Hyderabad, Telangana

Quick apply

Job details

Full-time
₹22,25,608 - ₹33,38,412 a year
1 day ago

Qualifications

TensorFlow
CI/CD
Law
Computer Science
Master's degree
SQL
Pandas
AWS
Docker
Machine learning
Continuous integration
Natural language processing
Manufacturing
AI
Python

Full job description

Join the team as our new ML Engineer, AI Center of Excellence (IC4)

India \u007C AI Center of Excellence

Protolabs is a digital manufacturing company that turns CAD files and technical drawings into physical parts - fast and at scale. Our AI Center of Excellence builds machine learning systems that empower core manufacturing workflows such as manufacturability analysis, predictive maintenance, and automated part routing to the right expert.

We are looking for a Machine Learning Engineer to join the AI COE and support ML and DL systems end-to-end - from problem framing and experimentation through to production deployment. You will work on complex, domain-specific ML problems in manufacturing, applying and adapting state-of-the-art approaches to new challenges and shipping solutions that run in live production environments.

What You'll Do:

Build & Own ML/DL Systems

Apply ML/AI solutions with awareness of business needs, system constraints, and business context.
Build and own ML/DL models across complex data types - geometries, part metadata, transactional data, and free-text notes.
Own small-to-medium ML/DL subsystems and features end-to-end.
Contribute NLP and document understanding pipelines for technical drawings and unstructured manufacturing specs; build reusable components on our AWS Bedrock-based AI Platform.

Experimentation & Technical Problem Solving

Tackle different complex ML problems: identify data issues, navigate model choices, and design clear experiments.
Work independently on assigned ML tasks while collaborating across teams.
Suggest improvements at the feature level; explore and evaluate new techniques with guidance.

Collaboration & Mentorship

Mentor junior peers to grow into ML; provide solid code, testing, and reviews.
Contribute to feature-level design discussions and surface technical suggestions and improvements.

What It Takes:

Technical

Good grounding in the mathematical foundations of ML and a relevant degree (computer science, simulation science, or equivalent).
3-5 years of hands-on experience designing, training, and deploying complex ML/DL models in production using state-of-the-art frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost).
Proven ability to build models that serve as autonomous decision systems, applied to critical business problems with large, heterogeneous data.
Strong Python engineering fundamentals: clean, modular, testable code; data pipelines; model versioning; CI/CD for ML; packaging for production (e.g. Docker, service wrappers).
Solid ML experimentation practice: experiment tracking from scratch (e.g. W&B, MLflow), model evaluation, and iterative improvement tied to measurable business outcomes.
Solid understanding of data transformation techniques, languages, and libraries (e.g. Pandas, Polars, SQL, dbt).
Ability to work independently: break down larger problem definitions into concrete tasks, navigate model choices, and deliver production-ready ML implementations end-to-end.

Leadership & Collaboration

Comfortable working independently on assigned ML tasks while staying closely coordinated with cross-functional teams.
Willingness to mentor junior peers on code quality, testing, and ML best practices.
Able to contribute meaningfully to feature-level design discussions and communicate technical trade-offs clearly.

Mindset

Ownership-driven: takes small-to-medium ML/DL subsystems from problem framing through to production deployment.
Curious and adaptable, applying and adjusting state-of-the-art approaches to new, domain-specific manufacturing problems.
Outcome-focused, tying experimentation and iterative improvement to measurable business results.

Nice to Have

Experience with manufacturing/industrial ML applications.
Familiarity with LLM integration and Generative AI approaches.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, Snowflake).
Exposure to MLOps practices: CI/CD pipelines, model monitoring, and observability.
Experience collaborating in international teams across time zones.

What This Role Is Not:

This is not a pure GenAI engineer role: you will develop complex DL models using tabular and non-tabular, domain-specific data - 3D geometries, CAD-derived features, technical drawings, machining data, and manufacturing metadata.
This is not a Data Analyst role: models you build run in production and make final, customer-facing decisions, not small ML models that create recommendations for a human analyst.

Quick apply

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ai/ml engineer jobs in ameerpet hyderabad telangana

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