Senior Machine Learning Engineer

3 days ago

Thāne, Maharashtra, India beBeeAI Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a skilled professional to join our organization in building agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques.

This role involves designing, developing, and optimizing domain adaptive agentic AI systems that automate business processes. It also requires working with large-scale pre-trained models to fine-tune with techniques like PEFT, SFT, and adapting them for specific applications and domains.

Key responsibilities include:

  • Designing prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring model outputs align with use case requirements.
  • Building end-to-end workflows for AI solutions from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaborating with cross-functional teams to define AI product requirements and deliver innovative solutions.
  • Staying current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure the organization stays at the forefront of technology.
  • Deploying machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
Required Skills and Qualifications

To be successful in this role, you will need:

  • A minimum of 5+ years of hands-on experience in machine learning and AI engineering.
  • Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
  • Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
  • Strong experience in prompt engineering to optimize AI models' performance.
  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
  • Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
Benefits

In this role, you will have the opportunity to work on cutting-edge projects, develop your skills, and contribute to the success of our organization.

You will be part of a dynamic team that values collaboration, innovation, and continuous learning.

We offer a competitive compensation package, including salary, benefits, and opportunities for growth and development.

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