AI/ML Software Developer

2 weeks ago

Gurgaon, Haryana, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title :

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We are seeking a highly skilled and experienced Python Software Engineer to join our organization. The ideal candidate will have extensive knowledge in building, deploying, and productionizing AI/ML solutions, designing end-to-end pipelines, and applying MLOps best practices.

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Key Responsibilities :

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  • Design, develop, and deploy scalable ML/DL models for classification, regression, NLP, and generative AI.">
  • Build and optimize data transformation workflows using Python, Pandas, and related libraries.">
  • Lead AI/ML project lifecycles from data ingestion, training, validation, deployment, and monitoring.">
  • Implement model observability, monitoring for data drift/concept drift, and ensure continuous evaluation.">
  • Develop and expose ML models through REST APIs using frameworks like FastAPI.">
  • Ensure high code quality via unit testing, integration testing, and participation in code reviews.">
  • Collaborate with Data Engineers, DevOps, and Product Managers to deliver enterprise-grade solutions.">
  • Leverage MLOps/DevOps tools to automate ML workflows and CI/CD pipelines.">
  • Stay updated with advancements in AI, ML frameworks, Generative AI, and deployment practices.">
  • Work closely with cross-functional teams to achieve business objectives.">
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Required Skills & Qualifications :

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  • Advanced expertise in Python (5+ years) with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.">
  • Strong knowledge of asynchronous programming, concurrency (FastAPI, Starlette).">
  • Deep understanding of multithreading, multiprocessing, and Python GIL.">
  • Ability to write clean, efficient, and testable code.">
  • Proficiency in machine learning fundamentals : classification, regression, regularization, multicollinearity.">
  • Hands-on experience with deep learning concepts : RNNs, transformers/attention, loss functions, GANs, diffusion models.">
  • Experience with transfer learning and fine-tuning pre-trained models.">
  • Proficiency in software engineering and DevOps : REST API development, CI/CD pipelines, Docker, containerized deployments.">
  • Familiarity with cloud-based ML (AWS/Azure/GCP) and logging frameworks.">
  • Ability to design efficient data preprocessing and transformation workflows.">
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Nice-to-Have Skills :

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  • Experience working with Generative AI and LLMs (Large Language Models).">
  • Familiarity with MLOps platforms (MLflow, Kubeflow, Airflow).">
  • Hands-on exposure to NLP, embeddings, and transformer architectures.">
  • Contributions to open-source ML projects or active GitHub portfolio.">
"],

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