Senior/Experienced ML Engineer (Remote | Immediate Joiner)

Gemini

Role Responsibilities

• Design and deploy scalable machine learning systems using modern frameworks (TensorFlow, PyTorch).

• Architect data pipelines and optimize model serving in production environments.

• Collaborate with cross-functional teams to define ML-driven product features.

• Conduct rigorous testing, evaluation, and monitoring of ML models.

• Mentor junior engineers and participate in code reviews, tech discussions, and process improvements.

• Lead efforts in

  Gemini

  and

  RAG

  -based model deployments.

• Develop and implement solutions that incorporate

  Langchain

  for advanced NLP and machine learning capabilities.

• Work on computer vision tasks (e.g., object recognition, image classification, segmentation).

Skills & Experience

• 4+ years of experience building and deploying machine learning solutions.

• Strong Python programming and deep understanding of ML algorithms.

• Hands-on experience with cloud ML tools (AWS SageMaker, GCP AI Platform, etc.).

• Solid knowledge of RESTful APIs, Docker, CI/CD pipelines, and distributed computing.

• Experience with

  Gemini

  and

  RAG

  architectures in machine learning workflows.

• Expertise in

  Langchain

  for improved AI systems.

• Proficiency in computer vision techniques, such as image classification, segmentation, and object detection.

Preferred Tools & Technologies

• TensorFlow, PyTorch, FastAPI, Airflow.

• Docker, Kubernetes, GitHub Actions.

• Experience with NLP, recommendation systems, or time-series analysis is a plus.

• Familiarity with

  Gemini

  ,

  RAG

  , and computer vision tools.

• Familiarity with

  PyTorch, TensorFlow, OpenCV, PubSub