Senior Software Engineer

2 weeks ago

Greater Kolkata Area, India Techno-Comp Computer Services Pvt. Ltd. Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Description
Primary Skills :
AI, AI - SciKit/Deep Learning, Computer Vision, AI Engineering, Django, Flask, FastAPI Microservices Framework, Microservices, MongoDB, Python.

  • Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions.
  • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
  • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.
  • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
  • Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.
  • Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.
  • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.
  • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
  • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
  • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.
  • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
  • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
  • Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions.
  • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
  • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.

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