GCP-Data Scientist

4 weeks ago

Pune, India LTIMindtree Full time
Job Summary

We are seeking a motivated and adaptable engineer with a minimum of 5 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.

Education:

Bachelor’s degree in computer science, information technology, data science, statistics, or a related field.

Preferred Certifications:

- Relevant Programming Language certification (e.g., Certified Python Developer etc.)- Any other Software Development or Software Engineering related certification- Any cloud engineering certification (GCP preferred)

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