AI Engineer - II

AI Engineer - II

𝗔𝗯𝗼𝘂𝘁 𝗣𝗮𝗿𝗮𝗯𝗼𝗹𝗮𝟵:

Parabola9 is at the forefront of the AI revolution. We are a dynamic and innovative company dedicated to building intelligent solutions that solve real-world challenges. From AI-powered surveillance with our SPECTRA platform to high-accuracy enterprise intelligence with SENTRA, we empower our clients with data-driven insights and advanced automation. Our mission is to be a pioneering force in the AI space.

We’re looking for a passionate AI Engineer II to join our fast-growing team and play a key role in developing and deploying video-based AI products built on LLMs and multimodal architectures — all within the AWS ecosystem.

Role Overview:

AI Engineer II

💼𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:

• Design, fine-tune, and deploy

  video/multimodal AI models

  (LLMs + video pipelines) for tasks such as video understanding, summarization, and embedding.
• Build and manage

  model inference pipelines on AWS

  (SageMaker, EC2/GPU, EKS/ECS, Lambda, S3) for large-scale video workloads.
• Collaborate with data/annotation teams to develop robust video datasets and create

  training workflows

  .
• Integrate models into

  production-grade services and APIs

  , ensuring scalability, reliability, and cost-efficiency.
• Implement

  MLOps best practices

  including CI/CD, model versioning, experiment tracking, and performance monitoring.
• Research and experiment with

  cutting-edge transformer architectures, multimodal embeddings, and fine-tuning methods (LoRA, PEFT)

  .
• Optimize model inference for

  real-time or near-real-time

  performance.

Required Skills & Qualifications:

• 2–5 years of experience in AI/ML engineering or applied research.
• Proficiency in

  Python

  and frameworks like

  PyTorch, TensorFlow, or JAX

  .
• Proven experience working with

  LLMs or transformer-based models

  , preferably in

  video/multimodal

  contexts.
• Hands-on experience with

  AWS services

  for ML deployment (SageMaker, EC2, S3, EKS/ECS, Lambda).
• Experience with

  video processing pipelines

  (frame extraction, segmentation, embedding generation).
• Familiarity with

  MLOps tools

  (MLflow, DVC, Docker, Kubernetes) and model optimization for inference.
• Strong communication and teamwork skills.

Preferred / Nice-to-Have:

• B.Tech/M.Tech/MS in Computer Science, AI, or related field.
• AWS Certified Machine Learning – Specialty.
• Experience in a

  startup or product development

  environment.
• Familiarity with

  generative video models

  ,

  agentic AI

  , or

  LangChain

  workflows.
• Knowledge of

  vector DBs (FAISS, Pinecone)

  ,

  distributed GPU training

  , or

  TensorRT/DeepSpeed

  .
• Contributions to open-source, research papers, or public demos.

Why Join Parabola9:

• Work on

  cutting-edge video + AI products

  shaping the future of enterprise intelligence.
• Be part of a

  collaborative and agile team

  where your work has a visible impact.
• Gain deep expertise in

  AI/ML, cloud, and multimodal systems

  .
• Competitive compensation, flexible work setup, and opportunities to grow.

📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻:

India (Pune / Bangalore / Hyderabad / Remote)

How to Apply:

reach out directly to me here on LinkedIn

Let’s build the future of AI together!

#hiring #Parabola9 #AIEngineer #AIDeveloper #AIjobs #machinelearning #deeplearning #LLMs #AWS #startups #AI