Data Scientist

2 days ago

Indore, Madhya Pradesh, India Alphanext Technology Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About Alphanext

Welcome to Alphanext, a leading provider of talent solutions headquartered in London, with operational bases in Pune and Indore. With a strong focus on the global technology community, we are dedicated to connecting exceptional talent with innovative organizations around the world.

Job Description:

We are looking for an experienced Data Scientist to join our team who will leverage GCP and advanced machine learning technologies to solve complex business problems. The ideal candidate will have hands-on experience in Gen AI, Vertex AI platform, and developing scalable AI/ML models in the cloud.

Responsibilities:

  • Design, build, and deploy machine learning models using Google Cloud Platform services, especially Vertex AI.
  • Develop and optimize generative AI solutions incorporating the latest advances in Gen AI and large language models.
  • Collaborate with cross-functional teams to understand business challenges and translate them into data-driven models.
  • Perform data wrangling, exploratory data analysis, and statistical modeling to uncover insights and improve model accuracy.
  • Implement explainable AI techniques and ensure ethical AI practices are followed.
  • Automate workflows for model training, validation, deployment, and monitoring using cloud-native tools.
  • Stay current with emerging trends in ML, Gen AI, and cloud AI technologies, driving innovation in solutions.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related quantitative field.
  • Proven experience with Google Cloud Platform, especially Vertex AI.
  • Strong understanding and experience with machine learning algorithms and Gen AI models.
  • Proficiency in Python and cloud-based data science tools and libraries.
  • Experience with productionizing ML models and managing lifecycle in cloud environments.
  • Strong analytical and problem-solving skills with an ability to manage multiple projects.
  • Excellent collaboration and communication skills.

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