Job Description

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Senior Data Scientist

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Gurugram , Gurugram, Haryana, India (ST19)

Department
Data Analytics
Job Posted On
29-04-2025 11:58:03
Employee Type
Regular
Experience range (Years)
0 - 0

Job Description:

Role Overview:
We are seeking a seasoned AI/ML Engineer to drive the development and deployment of cutting-edge Generative AI solutions. This role will be pivotal in designing, building, and implementing GenAI models to address complex business challenges, focusing on use cases such as content personalization, synthesis, knowledge base chatbots, and automation. The ideal candidate possesses a strong foundation in both traditional machine learning and the latest advancements in Generative AI, with a proven track record of delivering impactful solutions. You will contribute to our GenAI strategy and mentor junior team members.

Key Responsibilities :

  • Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality.
  • Collaborate with cross-functional teams. Work with data scientists, stakeholders, and product managers to build and deploy AI solutions.
  • Prototyping and testing. Create prototypes to test AI applications and refine machine learning techniques.
  • Maintain AI pipelines. Develop and maintain pipelines for deploying AI models into production environments.
  • Stay updated on advancements. Research and implement the latest advancements in AI and machine learning frameworks.

 
Qualifications and Skills

  • Education. A bachelor’s degree in computer science, data science, or a related field
  • Work experience. 3-6 Year Hands-on experience in AI development, data analysis, and machine learning techniques.
  • Technical skills. Proficiency in programming languages like Python, and TensorFlow; familiarity with PyTorch, LangChain and cloud platforms (AWS, Azure, GCP).
  • Soft skills. Strong communication skills and problem-solving abilities to work effectively with stakeholders and cross-functional teams.
  • Knowledge base. Expertise in neural networks, natural language processing, and predictive models.
  • Data engineering. Experience working with big data, pipelines, and statistical analysis tools. (Good to Have)
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