MT
Senior AI Engineer
MEGASAT TECHNOLOGY PRIVATE LIMITED
India · On-site Full-time Senior ₹700k – ₹1000k/yr Today
About the role
Department
Artificial Intelligence / Data Science
Reports To
Managing Director
Job Overview
We are seeking a highly skilled Senior AI/ML Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in building scalable AI systems and applying cutting-edge techniques to solve real‑world problems. The role requires close collaboration with leadership and cross‑functional teams to drive innovation and deliver high‑impact AI solutions.
Key Responsibilities
- Design, develop, and deploy AI/ML models for real‑world applications.
- Work on advanced solutions involving machine learning, deep learning, and AI‑driven automation.
- Develop and optimize models in areas such as computer vision, predictive analytics, and intelligent systems.
- Implement and manage MLOps pipelines for model training, deployment, monitoring, and scaling.
- Apply Generative AI techniques to build intelligent systems such as AI assistants, content generation models, and automation tools.
- Collaborate with engineering and product teams to integrate AI models into production systems.
- Ensure model performance, scalability, and reliability in production environments.
- Stay updated with the latest advancements in AI, machine learning, and data science technologies.
Required Qualifications
- Data science, computer vision, and MLOps experience for 7 years.
- Hands‑on experience on Generative AI expertise.
- Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Hands‑on experience in model deployment, cloud platforms, and AI system architecture.
- Experience with data pipelines, large datasets, and model optimization techniques.
- Strong analytical, problem‑solving, and communication skills.
Preferred Skills
- Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field preferred.
- Experience in Generative AI models (LLMs, diffusion models, or similar technologies).
- Knowledge of AI deployment in production environments and cloud platforms.
- Experience in building scalable AI products and end‑to‑end ML pipelines.
Location
[Company Location]
Employment Type
Full‑time
Job Types
Full‑time, Permanent
Pay
₹700,000.00 - ₹1,000,000.00 per year
Work Location
In person
Requirements
- Data science, computer vision, and MLOps experience for 7 years.
- Hands on experience on Generative AI expertise.
- Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Hands-on experience in model deployment, cloud platforms, and AI system architecture.
- Experience with data pipelines, large datasets, and model optimization techniques.
- Strong analytical, problem-solving, and communication skills.
Responsibilities
- Design, develop, and deploy AI/ML models for real-world applications.
- Work on advanced solutions involving machine learning, deep learning, and AI-driven automation.
- Develop and optimize models in areas such as computer vision, predictive analytics, and intelligent systems.
- Implement and manage MLOps pipelines for model training, deployment, monitoring, and scaling.
- Apply Generative AI techniques to build intelligent systems such as AI assistants, content generation models, and automation tools.
- Collaborate with engineering and product teams to integrate AI models into production systems.
- Ensure model performance, scalability, and reliability in production environments.
- Stay updated with the latest advancements in AI, machine learning, and data science technologies.
Skills
AIAI/ML frameworksComputer visionData pipelinesDeep learningGenerative AIMachine learningMLOpsModel deploymentModel optimizationPyTorchPythonTensorFlow
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