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Data Scientist+GCP

2 months ago

Bengaluru, India LTIMindtree Full time
Experience – 4 to 7 yearsLocation – Mumbai, Pune, Bangalore

Mandatory Skills – Data Science, GCP, Gen AI, AI/MLJob 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 processEvaluation 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 languagesExposure 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.