
Junior Data Scientist
3 days ago
We are seeking a motivated and innovative Junior Data Scientist to support the development
and deployment of AI-driven solutions. This role offers hands-on experience with advanced
technologies, including Large Language Models (LLMs), Large Action Models (LAMs),
and AI Agents, which are transforming industries such as healthcare, finance, and
develop, and implement these cutting-edge tools to solve real-world problems and optimize
decision-making processes.
Key Responsibilities:
- Collaborate with senior team members to design and deploy AI models tailored to solve
complex challenges in healthcare, finance, and cybersecurity, incorporating both
predictive analytics and advanced generative AI techniques.
- Build and maintain scalable data pipelines to process large datasets efficiently,
supporting AI/ML model training, testing, and deployment.
- Develop AI Agents that combine data-driven insights with intelligent automation to
streamline workflows, such as healthcare triage, financial fraud detection, or
cybersecurity alert responses.
decision-making and the development of real-time solutions.
- Prototype and test conversational AI systems that enhance user interactions, such as
generating patient education materials, automating customer support, or summarizing
financial insights.
- Explore and implement advanced automation techniques using AI to optimize multi-step
workflows in clinical diagnostics, financial operations, or security alert management.
- Conduct exploratory data analysis and create actionable insights that drive strategy,
improve system efficiency, and enhance project outcomes.
- Research emerging AI technologies, including LLMs, LAMs, and predictive analytics
frameworks, and recommend strategies to integrate them into ongoing and future
projects.
- Stay informed on advancements in AI/ML to identify innovative opportunities for
improving efficiency and achieving business goals.
- Work collaboratively with cross-functional teams to integrate AI solutions seamlessly into
client systems, ensuring alignment with business needs and objectives.
**Requirements**:
- 2-3 years of hands-on experience in data science or machine learning, with
- Proficiency in Python, with practical experience using machine learning libraries such as
Scikit-learn, TensorFlow, or PyTorch.
- Understanding of building and maintaining scalable data pipelines for processing
structured and unstructured datasets.
solve complex challenges.
- Excellent communication skills for effective collaboration with cross-functional teams and
stakeholders.
- Exposure to predictive analytics, data-driven decision-making, or automation projects in
domains like healthcare, finance, or cybersecurity.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for model deployment
and management is a plus.
- Eagerness to learn new AI/ML methodologies and stay updated on advancements in the
field.
- Practical experience in using AI to enhance workflows, identify patterns, and generate
actionable insights is a strong advantage.
**Job Types**: Full-time, Internship
Pay: ₹500,000.00 - ₹1,000,000.00 per year
**Benefits**:
- Health insurance
- Provident Fund
Schedule:
- Day shift
**Experience**:
- total work: 3 years (required)
Work Location: In person
Expected Start Date: 01/01/2025
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