ML Ops
2 weeks ago
Job Description ML Ops Engineer (2–3 Years Experience)
Position Overview
We are looking for a passionate and skilled ML Ops Engineer with 2–3 years of experience to join our AI initiatives and services team. The ideal candidate will not only be strong in operationalizing machine learning workflows but also have hands-on exposure or working knowledge in Large Language Models (LLMs), Computer Vision, Speech-to-Text, and Image Recognition to solve real-world problems.
This role requires strong adaptability to multiple technologies, excellent communication skills, and a creative problem-solving mindset to bridge the gap between AI research and scalable business solutions.
Key Responsibilities
- Design, build, and maintain end-to-end ML Ops pipelines for deploying and scaling ML/AI models.
- Automate workflows for model training, deployment, monitoring, and retraining.
- Ensure scalability, reliability, and performance of ML systems in production.
- Work with ML Engineers and Data Scientists to bring models from experimentation to production.
- Manage model versioning, governance, monitoring, and logging.
- Implement CI/CD for ML workloads with Docker/Kubernetes and cloud platforms (Azure, AWS, or GCP).
- Support integration of models into client-facing applications and services.
- Apply ML Ops practices to LLMs, Vision, Speech-to-Text, and Image Recognition use cases.
- Stay up to date with emerging AI tools and frameworks (LangChain, Hugging Face, OpenAI APIs, etc.) and apply them to real-world problem solving.
Required Skills & Qualifications
- 2–3 years of professional experience in ML Ops / Data Engineering / AI Engineering.
- Strong programming skills in Python with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with ML Ops tools (MLflow, Kubeflow, Airflow, DVC, or similar).
- Solid knowledge of CI/CD pipelines, Docker, Kubernetes, and cloud services (Azure ML, AWS Sagemaker, or GCP Vertex AI).
- Familiarity with LLMs, Vision, Speech-to-Text, and Image Recognition techniques — practical experience or strong conceptual knowledge.
- Understanding of prompt engineering, model fine-tuning, or transfer learning is a plus.
- Excellent problem-solving skills, creativity, and the ability to adapt quickly to new technologies.
- Strong communication and collaboration skills to work effectively with cross-functional teams and clients.
Preferred Skills
- Exposure to LangChain, Hugging Face Transformers, or RAG-based systems.
- Experience working with APIs and microservices to serve AI models.
- Knowledge of monitoring tools for deployed AI models (Prometheus, Grafana, EvidentlyAI).
- Familiarity with handling unstructured data (text, audio, images, video).
Education
- Bachelor's or master's degree in computer science, Data Science, AI/ML, or related field.
What We Look For
- A strong ownership mindset with the ability to deliver end-to-end solutions.
- Passion for solving real-world business challenges using AI.
- Professionals who can communicate complex concepts clearly to both technical and non-technical audiences.
- A creative thinker who stays ahead of trends in AI/ML and ML Ops practices.
-
ML Ops Engineer
4 weeks ago
Bengaluru, India L&T Technology Services Full timeJob Title : ML Ops Engineer Location: Bengaluru Experience : 7+Years ML Ops Engineer Programming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) Required...
-
ML Ops Engineer
3 weeks ago
Bengaluru, India L&T Technology Services Full timeJob Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...
-
ML Ops Engineer
2 weeks ago
Bengaluru, Karnataka, India L&T Technology Services Full time ₹ 6,00,000 - ₹ 18,00,000 per yearJob Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...
-
ML Ops Engineer
4 weeks ago
Bengaluru, India L&T Technology Services Full timeJob Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...
-
ML Ops Engineer
2 weeks ago
Bengaluru, India L&T Technology Services Full timeJob Title : ML Ops Engineer Location: Bengaluru Experience : 7+Years ML Ops Engineer Programming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) Required Skills:...
-
Ml ops engineer
7 days ago
Bengaluru, India Aurigo Software Technologies Full timeRole Brief:We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...
-
ML Ops Engineer
2 weeks ago
Bengaluru, India Saarthee Full timeJob Summary: We are seeking a skilled ML Ops Engineer to support and enhance our machine learning operations infrastructure. In this role, you will be responsible for monitoring production services, troubleshooting issues, and collaborating with teams to improve automation and system reliability. You will play a critical role in ensuring seamless model...
-
ML Ops Engineer
2 weeks ago
Bengaluru, India Saarthee Full timeJob Summary: We are seeking a skilled ML Ops Engineer to support and enhance our machine learning operations infrastructure. In this role, you will be responsible for monitoring production services, troubleshooting issues, and collaborating with teams to improve automation and system reliability. You will play a critical role in ensuring seamless model...
-
LLM & ML Ops Engineer
3 weeks ago
Bengaluru, India Gainwell Technologies LLC Full timeJob Description Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle...
-
Ml ops engineer
6 days ago
Bengaluru, India Aurigo Software Technologies Full timeRole Brief:We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...
