Transformative AI Engineer

2 days ago

Mumbai, Maharashtra, India beBeeApplied Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Us:

At our organization, we are pioneering the application of artificial intelligence and machine learning to drive transformative advancements.

As an Applied AI/ML Engineer, you will spearhead the end-to-end lifecycle of foundational model development, leveraging state-of-the-art approaches in generative AI. Your role will entail focusing on data- and compute-efficient learning approaches tailored to unique challenges.

You will collaborate with cross-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines. Beyond research and experimentation, you will play a pivotal role in transforming state-of-the-art models into operational systems that deliver measurable impact.

Key Responsibilities:

  • Development and training of foundational models across modalities
  • End-to-end lifecycle management of foundational model development from data curation to model deployment by collaborating with the core team members
  • Conduct research to advance model accuracy and efficiency
  • Implement state-of-the-art AI techniques in Text/Speech and language processing
  • Collaborate with cross-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines
  • Develop pipelines for debugging, CI/CD, and observability of the development process
  • Demonstrated ability to lead projects and provide innovative solutions
  • Document technical processes, model architectures, and experimental results, maintain clear and organized code repositories

Education Qualification:

  • Bachelor's or Master's in any related field with 2 to 5 years of experience in industry in applied AI/ML

Minimum Requirements:

  • Proficiency in Python programming and familiarity with at least 3 from the list of tools specified below:

1. Foundational model libraries and frameworks (TensorFlow, PyTorch, HF Transformers, NeMo, etc)

2. Experience with distributed training (SLURM, Ray, Pytorch DDP, Deepspeed, NCCL, etc)

3. Inference servers (vLLM)

4. Version control systems and observability (Git, DVC, MLFlow, W&B, KubeFlow)

5. Data analysis and curation tools (Dask, Milvus, Apache Spark, Numpy)

6. Text-to-Speech tools (Whisper, Voicebox, VALL-E (X), HuBERT/Unitspeech)

7. LLMOPs Tools, Dockers, etc.

8. Hands-on experience with AI application libraries and frameworks (DSPy, Langgraph, langchain, llamaindex, etc.)

Benefits:

This role offers the opportunity to work on cutting-edge AI projects and collaborate with cross-functional teams. You will have the chance to develop your skills in AI and contribute to the success of our organization.

Others:

The ideal candidate will be passionate about AI and machine learning and have a strong desire to learn and grow with our organization. We offer a dynamic and supportive work environment that encourages collaboration and innovation. If you are looking for a challenging and rewarding career opportunity, apply now

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