Thiruvananthapuram Kerala Cloud engineer Jobs – 178 Open Jobs Today

AI /ML ENGINEER -1+ Years
REIZEND PRIVATE LIMITED —Thiruvananthapuram, Kerala
- ₹5,00,000 - ₹9,00,000 a year
- Azure
- AWS
- Machine learning
Quick apply
Software Engineer - Intermediate
Equifax —Thiruvananthapuram, Kerala
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Health insurance
- Paid time off
Cloud Devops Engineer
Cogniphi Technologies —Thiruvananthapuram, Kerala
- Azure
- DevOps
- Databases
- Health insurance
Computer Vision Engineer
Lightrains Technolabs —Thiruvananthapuram, Kerala
- C++
- Machine learning
- Python
Data Engineer
IBS Software —Thiruvananthapuram District, Kerala
- Java
- Databases
- Python
Full Stack Software Engineer
Ceenex Global LLC —Thiruvananthapuram, Kerala
- ₹40,000 - ₹50,000 a month
- Full-time
- Azure
- Computer Science
- English
Quick apply
Backend Engineer (Java)
Applogiq —Thiruvananthapuram, Kerala
- Full-time
- Java
- APIs
- Health insurance
Quick apply
Lead Platform Engineering (AI & Autonomous Systems)- Kochi
VGreen Technology Solutions (VGreenTEK) —Thiruvananthapuram, Kerala
- ₹25,00,000 - ₹30,00,000 an hour
- Azure
- DevOps
- Java
Quick apply
5h
Technical Support Engineer
estrrado —Technopark, Thiruvananthapuram, Kerala
- Email
- Microsoft Access
- Azure
- Microsoft Outlook
DevOps Engineer
IGDS Technologies —Thiruvananthapuram, Kerala
- Email
- Azure
- DevOps
- AWS
Lead Cloud Engineer – 6+ Years
ThinkPalm Technologies —Thiruvananthapuram, Kerala
- Full-time
- DevOps
- Windows
- Java
DevOps Engineer – GCP, Kubernetes & Terraform
UST Global —Thiruvananthapuram, Kerala
- DevOps
- Scripting
- Linux
3d
Lead I - Cloud Infrastructure Services
UST Global —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- DevOps
5h
Data Science Engineer (Production ML & Data Pipelines)-100% Remote
VGreen Technology Solutions (VGreenTEK) —Thiruvananthapuram, Kerala
- ₹80,000 - ₹1,00,000 a month
- Remote
- SQL
- Machine learning
- Python
Quick apply
AWS L2 Support Engineer – Amazon Workspace
UST Global —Thiruvananthapuram, Kerala
- Azure
- DevOps
- AWS
TC-CS-CDR-EDR-Staff
EY —Thiruvananthapuram, Kerala
- Communication skills
Site Reliability Engineer (SRE) – GCP & DevOps
UST Global —Thiruvananthapuram, Kerala
- DevOps
- System design
- Java
Site Reliability Engineer-Career
Equifax —Thiruvananthapuram, Kerala
- Full-time
- Hybrid work
- Computer Science
- B.Sc
- DevOps
- Health insurance
- Paid time off
Lead I - Production Support
UST Global —Thiruvananthapuram, Kerala
- Full-time
- Azure
- SQL
- Analysis skills
8d
Lead Site Reliability Engineer
Equifax —Thiruvananthapuram, Kerala
- Full-time
- Hybrid work
- Computer Science
- B.Sc
- Windows
- Health insurance
- Paid time off

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AI /ML ENGINEER -1+ Years

REIZEND PRIVATE LIMITED
Thiruvananthapuram, Kerala

Quick apply

Job details

Permanent
₹5,00,000 - ₹9,00,000 a year

Qualifications

TensorFlow
CI/CD
Elasticsearch
Image processing
Azure
Kubernetes
PyTorch
Computer vision
NumPy
Pandas
AWS
Docker
Sentiment analytics
Machine learning
Continuous integration
Deep learning
SciPy
Natural language processing
APIs
S3
Apache
Keras
AI
Python

Full job description

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments.

Experience: 1 - 3 years of experience
Work From Office
Trivandrum
Salary : 5- 9 LPA

Key Responsibilities

1.AI Model Development and Optimization:

Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch.

Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications.

Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks.

Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives.,

Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures.

2.Natural Language Processing (NLP):

Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems.

Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks.

3.AI Model Deployment and Frameworks:

Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments.

Create robust data pipelines for training, testing, and inference workflows.

Implement CI/CD pipelines for seamless integration and deployment of AI solutions.

4.Production Environment Management:

Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability.

Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift.

5.Data Engineering and Pipelines:

Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets.

Integrate with cloud-based data storage and retrieval systems for seamless AI workflows.

6.Performance Monitoring and Optimization:

Optimize AI model performance through hyperparameter tuning and algorithmic improvements.

Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.)

7. Solution Design and Architecture:

Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions.

Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints.

Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases.

8.Stakeholder Engagement:

Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines.

Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs.

Preferred Skills

Proficient in Python, with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization.

Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models.

Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks.

Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications.

Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks.

Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors.

Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows.

Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines.

Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift.

Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency.

Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi

Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows.

Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions.

Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets.

Familiarity with edge deployment frameworks and optimization for resource-constrained environments.

Job Type: Permanent

Pay: ₹500,000.00 - ₹900,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

cloud engineer jobs in thiruvananthapuram kerala

AI /ML ENGINEER -1+ Years

Software Engineer - Intermediate

Cloud Devops Engineer

Computer Vision Engineer

Data Engineer

Full Stack Software Engineer

Backend Engineer (Java)

Lead Platform Engineering (AI & Autonomous Systems)- Kochi

Technical Support Engineer

DevOps Engineer

Lead Cloud Engineer – 6+ Years

DevOps Engineer – GCP, Kubernetes & Terraform

Lead I - Cloud Infrastructure Services

Data Science Engineer (Production ML & Data Pipelines)-100% Remote

AWS L2 Support Engineer – Amazon Workspace

TC-CS-CDR-EDR-Staff

Site Reliability Engineer (SRE) – GCP & DevOps

Site Reliability Engineer-Career

Lead I - Production Support

Lead Site Reliability Engineer

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