Python AI/ML

We are seeking a Machine Learning Engineer with expertise in Deep Learning, NLP (Natural Language Processing), and Generative AI. The ideal candidate should have hands-on experience in building and deploying advanced machine learning models and be adept at working with cloud platforms like AWS, Azure, or GCP. Familiarity with the latest NLP libraries and frameworks, such as LangChain and OpenAI's toolsets, is essential. You will contribute to designing, developing, and deploying AI-powered solutions that drive innovative capabilities across our platforms.

Key Responsibilities:

• Design, build, and deploy machine learning models, particularly focused on NLP and Generative AI applications.
• Develop and refine models in areas like text analysis, natural language understanding, conversational AI, and large language models.
• Collaborate with cross-functional teams to identify and understand project requirements, translating business objectives into ML/AI solutions.
• Optimize and scale models in cloud environments (AWS, Azure, or GCP) ensuring reliability and efficiency.
• Leverage LangChain, OpenAI, and similar frameworks for rapid prototyping and deployment of conversational and generative AI solutions.
• Build and maintain pipelines and workflows using Docker to streamline ML/DL model deployment and scalability.
• Utilize both SQL and NoSQL databases for efficient data processing, storage, and retrieval.
• Document model architectures, data flows, and training processes, ensuring all aspects of model lifecycle management are covered.

Requirements:

Technical Skills:

• Proficiency in

  Machine Learning (ML)

  ,

  Deep Learning (DL)

  , and

  Natural Language Processing (NLP)

  , with a strong understanding of Generative AI.
• Strong coding skills in

  Python

  and experience with machine learning libraries such as

  TensorFlow

  ,

  PyTorch

  , or

  Hugging Face

  .
• Experience with cloud platforms (

  AWS, Azure, or GCP

  ) and knowledge of ML services on these platforms.
• Familiarity with

  LangChain

  ,

  OpenAI

  , and

  GPT-based models

  for building and deploying NLP and generative AI applications.
• Experience working with

  SQL

  and

  NoSQL databases

  for data management and transformation.
• Containerization experience with

  Docker

  for application scalability and deployment.
• Knowledge of MLOps best practices and CI/CD processes is a plus.

Professional Experience:

• 2+ years

  of hands-on experience in ML/DL projects related to NLP and Generative AI.
• Demonstrable project work involving NLP applications (e.g., text classification, entity recognition, summarization, etc.) and generative AI solutions (e.g., chatbot, content generation, etc.).
• Experience with version control systems (e.g., Git) and collaboration on ML projects in a team environment.

Preferred Qualifications:

• Bachelors or Master’s degree in Computer Science, Data Science, or a related field.
• Certifications in Machine Learning, NLP, or Cloud (AWS, Azure, GCP).
• Prior experience working with large language models and transformers.

Why Join Us?

• Work with cutting-edge AI and NLP technologies in a collaborative, innovation-driven environment.
• Opportunities for continuous learning, certifications, and career advancement.
• Access to state-of-the-art infrastructure, tools, and cloud resources