Data Scientist
Job Description
Role- AI Engineer/Lead AI Engineer/AI Architect
\nExperience- 4-15 YRS
\nJob Location - Chennai/Hyderabad
\nMode of Work- Hybrid
\nNotice Period- 0-30 days (Quick joiners are highly preferred)
\nJob Description:
\nResponsibilities:
\nDesign, develop, and implement AI/ML models and algorithms.
\nFocus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
\nWrite clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
\nWork closely with senior team members to understand project requirements and contribute to technical solutions.
\nTroubleshoot and debug AI/ML models and applications.
\nStay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP).
\nImplement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
\nUtilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI functionalities.
\nQualifications:
\nBachelor's degree in Computer Science, Artificial Intelligence, or a related field.
\n4-15 years of experience in developing and implementing AI/ML models.
\nStrong programming skills in Python.
\nExperience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
\nGood understanding of machine learning concepts and techniques.
\nAbility to work independently and as part of a team. Strong problem-solving skills.
\nGood communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus.