Master Data Scientist for AI Innovation
1 day ago
EdgeVerve is a pioneering force in the field of artificial intelligence, committed to pushing the boundaries of what is possible. Our cutting-edge solutions empower businesses to harness the full potential of AI.
Job SummaryWe are seeking a highly skilled Master Data Scientist for AI Innovation to join our team. This role involves driving the development and implementation of advanced machine learning algorithms and models to tackle complex business challenges.
Key Responsibilities:- Machine Learning Model Development: Design, research, and implement innovative machine learning models to address key business needs.
- Data Engineering: Develop efficient data pipelines and ETL processes to extract, transform, and load large datasets into our Postgres database.
- Model Deployment: Deploy machine learning models into production environments, ensuring optimal performance and scalability.
- Ai Integration: Integrate AI capabilities seamlessly into our existing systems and applications.
- Team Leadership: Mentor and guide junior team members in machine learning and data science best practices.
- Problem Solving: Analyze complex business problems and develop effective solutions using machine learning techniques.
- Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
- Technical Skills:
- Ai: Strong understanding of AI concepts and proficiency in Gen AI base application development, including embedding and semantic search.
- Machine Learning: Proficiency in machine learning algorithms (regression, classification, clustering, deep learning) and their implementation using Python libraries (TensorFlow, PyTorch, Scikit-learn).
- Programming: Expert-level Python programming skills, including data manipulation, statistical analysis, and model development.
- Database: Proficiency in SQL and experience with PostgreSQL for data storage and retrieval.
- Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for deploying and managing machine learning workloads.
- Data Engineering: Experience with data pipelines, ETL processes, and data preprocessing techniques.
- Big Data: Knowledge of big data technologies (Hadoop, Spark) is a plus.
- Soft Skills:
- Problem Solving: Ability to analyze complex problems and develop effective solutions.
- Communication: Excellent communication skills to explain technical concepts to both technical and non-technical audiences.
- Collaboration: Strong teamwork and interpersonal skills to work effectively with cross-functional teams.
- Leadership: Ability to mentor and guide junior team members.
- Business Acumen: Understanding of business objectives and how machine learning can drive business value.
- Continuous Learning: Passion for staying updated with the latest advancements in machine learning and AI.
- Competitive salary range based on location and experience.
- Comprehensive health insurance package.
- Paid time off and holidays.
- Professional development opportunities.
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