Senior AI/ML Engineering Specialist

5 days ago

Bhubaneshwar, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Title:

Senior AI/ML Engineering Specialist

We are seeking a highly skilled Senior AI/ML Engineering Specialist to lead our advanced AI and Machine Learning projects. This role is ideal for a strong technical professional with 6-7 years of experience in designing, developing, and deploying cutting-edge AI solutions.

You will be responsible for end-to-end ownership of AI/ML projects, from requirement gathering to model deployment, while also mentoring junior team members.

The ideal candidate will have hands-on expertise in ML, Deep Learning, Computer Vision, NLP, and LLMs with the ability to build scalable, production-grade AI systems.

Main Responsibilities:

  • Collaborate with clients and stakeholders to gather requirements, design solutions, and provide technical proposals.
  • Design, develop, train, and optimize AI/ML models for diverse use cases (NLP, Computer Vision, OCR, LLM based solutions).
  • Lead proof-of-concept (POC) and proof-of-technology (POT) initiatives, including solution demonstrations and workshops.
  • Translate business problems into technical requirements and deliver efficient AI/ML solutions.
  • Deploy AI/ML models as services or APIs using Cloud (AWS/Azure/GCP) and/or Kubernetes.
  • Stay updated with the latest AI/ML trends, frameworks, and technologies (e.g., transformers, LLMs, generative models).
  • Mentor and guide junior engineers, promoting best practices in coding, testing, and deployment.
  • Contribute to organizational AI/ML strategy and innovation roadmap.

Required Skills & Qualifications:

Core Expertise:

  • Strong background in Machine Learning, Deep Learning, Computer Vision, NLP.
  • Hands-on with OpenCV, OCR algorithms, and advanced neural networks (CNN, RNN, GANs, Transformers, etc.).
  • LARGE LANGUAGE MODELS: EXPERIENCE WITH GPT-3.5/4, LLaMA, MISTRAL, GEMINI, ETC.
  • LLM INTEGRATION: FAMILIARITY WITH FRAMEWORKS LIKE LANGCHAIN, LLAMAINDEX, AGENTGPT.
  • Strong knowledge of Python with frameworks like Tensor Flow, PyTorch, Keras, and DevOps:
    • Experience deploying AI models as REST APIs or services.
    • Knowledge of Cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
    • Proficiency in unit testing and secure development.
  • Potential:
    • Experience leading or mentoring a small team of AI/ML engineers.
    • Ability to take ownership, work independently, and scale into a Lead role.

Soft Skills:

  • Strong client-facing and communication skills.

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