Job Information

- Date Opened 01/14/2026
- Job Type Full time
- Industry IT Services
- Work Experience 8-10 years
- City Noida
- State/Province Uttar Pradesh
- Country India
- Zip/Postal Code 201309

Job Description

Profile: Senior AI Engineer
Exp: 6+ years
Location: Pune/Bangalore/Noida

Budget - 45 Lacs

Job Summary:

Experience

- 4+ years of experience designing, developing, and deploying ML models in production environments

- 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling

- Experience with production-grade Python (preferred), as well as Java or C/C++

- Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Skills

- Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn

- Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker)

- Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network)

- Strong foundation in probability theory and statistical modeling (generative and discriminative)

- Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform Docker, and Kubernetes





- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders

- Solid collaboration skills with cross-functional teams (engineering, analytics, product)

- Ability to independently manage tasks and thrive in a remote-first or hybrid environment

Preferred Skills

- Experience in regulated industries (e.g., finance, healthcare, insurance)

- Excellent communication and stakeholder engagement skills

- Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs)

- Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.)

- Proficiency in model evaluation, distributed training, and hyperparameter optimization

- Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)

- Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)

- Proficient in API and Microservices technologies

- Track records in large-scale, real-time AI/GenAI/ML database and solution technologies

- Background in responsible AI/ML, model interpretability, and fairness auditing.

📌 Senior AI Engineer (India)
🏢 Techneplus
📍 India