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Job Description
Requirements
- Design, develop, and deploy scalable machine learning models, with a focus on deep learning applications in image processing, computer vision, and NLP.
- Build and maintain end-to-end pipelines for training, evaluation, deployment, and monitoring of ML models.
- Apply expertise in OCR and computer vision to develop intelligent document understanding solutions.
- Collaborate with cross-functional teams including software engineers, product managers, and data scientists to integrate ML solutions into products.
- Drive experimentation and prototyping using frameworks such as TensorFlow, PyTorch, Keras, and Scikit learn.
- Utilize Gen AI frameworks (e.g., Langchain, Langgraph) to build and optimize conversational agents and LLM-based applications.
- Conduct code reviews, mentor junior team members, and contribute to the overall machine learning strategy and best practices.
- Stay up-to-date with the latest advancements in machine learning and AI research to incorporate state-of the-art techniques into our solutions.
- Experience: 5+ years of professional experience in machine learning, deep learning, or related fields.
- Programming Languages: Proficiency in Python and experience with ML libraries including TensorFlow, PyTorch, Keras, and Scikit-learn.
- Computer Vision: Strong experience in image processing, OpenCV, and vision-based model development.
- OCR: Hands-on experience developing and deploying OCR pipelines and document processing solutions.
- NLP & Gen AI: Solid background in natural language processing and experience with generative AI technologies, including Langchain and Langgraph.
- ML Engineering: Experience building robust ML pipelines and deploying models into production environments.
- Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.
Looking to get Placed? Try our Placement Guarantee Plan
- Masters or Bachelors in Computer Science, Machine Learning, AI, or a related field.
- Experience with cloud platforms (AWS, GCP, or Azure) and ML infrastructure tools (e.g., MLflow, Docker, Kubernetes).
Health insurance.
Hybrid working mode.
Provident Fund.
Parental leave.
Yearly Bonus.
Gratuity.
Location: Kolkata
Hybrid Mode
Full time
Skills
PythonDeep LearningMachine LearningAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
24 Nov 25, 05:40 PM IST
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