Senior AI Developer

3 days ago


Kolkata, West Bengal, India RPSG Ventures Full time
About RPSG Ventures

RPSG Ventures is a leading conglomerate in India, known for its innovative approach to business and commitment to excellence.

With a rich legacy of growth and expansion, the Group has established itself as a trusted partner in various industries, including power, energy, performance chemicals, retail, IT services, FMCG, media, entertainment, plantations, and sports.

The Group's diverse portfolio is driven by a dedicated workforce of over 50,000 employees from diverse backgrounds, with a presence in more than 50 countries.

We are seeking a highly skilled Senior AI Developer to design, develop, and deploy AI models and solutions.

Job Summary:

As a key member of our team, you will possess a blend of strong programming expertise, algorithmic problem-solving skills, and a passion for innovation.

You will work closely with data scientists to implement scalable AI pipelines, optimize model performance for production environments, and research state-of-the-art techniques to solve business challenges.

Responsibilities:

Main Responsibilities:

  • Design, build, and train AI/ML models, including LLMs, transformers, and generative systems.
  • Collaborate with data scientists to implement scalable AI pipelines.
  • Optimize model performance for deployment in production environments.
  • Research and implement state-of-the-art AI/ML techniques to solve business challenges.
  • Develop APIs and interfaces for integrating AI models with existing systems.
  • Monitor and maintain deployed AI models to ensure reliability and scalability.
  • Ensure compliance with AI ethics and organizational data privacy policies.

Requirements:

  • An engineering degree (BE/BTech) or MSc in Computer Science, Physics, or a related scientific field with a strong mathematical foundation.
  • 4–7 years of experience in Data & Analytics, with hands-on experience in AI/Gen AI model development and deployment.
  • Proficiency in Python and frameworks like Tensor Flow, PyTorch, and Scikit-learn.
  • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, or Sage Maker for model lifecycle management.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes for deploying AI models.
  • Experience with version control systems like Git and CI/CD pipelines for continuous integration and deployment.
  • A strong understanding of NLP, computer vision, or reinforcement learning techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving and teamwork skills.


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