AI/ML Software Development Lead

2 days ago

Noida, Uttar Pradesh, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title:

Ai/ml Software Development Lead


About the Role:

We are seeking a highly skilled Ai/ml software development lead to join our team. The ideal candidate will have strong expertise in building and productionizing ai/ml solutions, designing end-to-end pipelines, and applying mlops best practices.

You will work on a variety of ml use cases including classification, regression, nlp, and generative ai tasks, while collaborating with cross-functional teams to deliver scalable and impactful solutions.

Key Responsibilities:
  • 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.
Required Skills & Experience:

- 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.

Machine Learning & Deep Learning:
  • Strong grasp of ml fundamentals: classification, regression, regularization, multicollinearity.
  • Hands-on experience with dl concepts: rnn's, transformers/attention, loss functions, gan's, diffusion models.
  • Experience with transfer learning and fine-tuning pre-trained models.
Mlops & Model Lifecycle Management:
  • Proficiency in ml pipeline design, deployment, and monitoring.
  • Experience handling data drift, concept drift, and model observability.
  • Exposure to automated monitoring and drift alerting frameworks.
Software Engineering & DevOps:
  • Strong expertise in rest api development and integration.
  • Experience with ci/cd pipelines, docker, and containerized deployments.
  • Familiarity with cloud-based ml (aws/azure/gcp) and logging frameworks.
Data Engineering & Problem-Solving:
  • Proficiency in dataframe operations: joins, filtering, ranking, mapping, aggregation.
  • Ability to design efficient data preprocessing and transformation workflows.
Nice-to-Have Skills:
  • 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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