Data Scientist+GCP

2 days ago

bangalore, India LTIMindtree Full time

Experience – 4 to 7 years

Location – Mumbai, Pune, Bangalore


Mandatory Skills – Data Science, GCP, Gen AI, AI/ML

Job Details:

We are seeking a motivated and adaptable engineer with a minimum of 4 years of experience in software development, data engineering, or cloud technologies with a strong background in Python to join our team as a Google Cloud Platform (GCP) Data Science and AI Engineer. The ideal candidate will have a foundational understanding of cloud services and programming, with a strong desire to learn and specialize in GCP AI/ML technologies. Candidate’s primary responsibility will be to design, develop, and deploy innovative AI / GenAI solutions using GCP's powerful suite of tools. By joining our team, the candidate will have the chance to contribute to cutting-edge AI projects and leverage the power of GCP to drive innovation.


Key Responsibilities:

1. GCP Data Science & AI Implementation:

  • Design, develop, and deploy data science and AI models using GCP services like Vertex AI, BigQuery ML, Cloud TPU etc.
  • Utilize GCP's MLOps capabilities for efficient model development, deployment, and management.
  • Explore and apply advanced AI techniques such as generative AI, reinforcement learning, and federated learning.

2. Machine Learning:

  • Design solutions utilizing different types of Machine Learning techniques such as Supervised, Unsupervised, Classification, Regression.
  • Build pipeline for AI / ML model development process
  • Evaluation of Machine Learning Models and how to address Overfitting / Underfitting.

3. Data Engineering:

  • Ingest, clean, and prepare data for analysis using GCP data processing tools.
  • Develop data pipelines and workflows to automate data extraction, transformation, and loading (ETL) using tools such as Apache Beam, Cloud Composer etc.
  • Implement and maintain data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Run etc.

4. Model Development & Evaluation:

  • Develop and train machine learning models using TensorFlow, PyTorch, or other frameworks.
  • Evaluate model performance using appropriate metrics and techniques.
  • Optimize models for production deployment, considering factors like latency, scalability, and cost.

5. AI Applications:

  • Build and deploy AI applications across various domains, such as natural language processing, computer vision, and predictive analytics.
  • Integrate AI models with GCP services to create end-to-end solutions.

6. Security, Networking & Compliance (Good to have skills):

  • Implement and maintain data security best practices within the GCP environment.
  • Understand and manage networking concepts such as VPC, Cloud Load Balancing, and IAM within GCP.
  • Ensure compliance with industry standards and internal data governance policies.

7. Collaboration & Support:

  • Collaborate with data analysts, data engineers, and other stakeholders to understand business requirements and translate them into data science solutions.
  • Provide technical guidance and support to team members.

8. Continuous Improvement:

  • Stay updated on the latest advancements in data science, AI, and GCP technologies.
  • Contribute to the development of best practices and standards within the team.

Skills:

  • Strong understanding and extensive experience in Python programming languages
  • Exposure to basic data analysis or machine learning concepts.
  • Familiarity and experience with cloud computing platforms. (GCP preferred)
  • Basic knowledge of version control systems (e.g., Git).
  • Ability to quickly learn multiple technologies and adapt to new tools and platforms.
  • Strong interest in technology and a passion for staying up to date with industry trends.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

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