Job Description

Experience: 2 to 4 Years
Location: Bhopal or Gurugram (Only Apply people who is nearby to this cities).

We are seeking a passionate and experienced Data Scientist with a solid foundation in machine learning, Python, and generative AI. This role is a fantastic opportunity to leverage your technical expertise and analytical skills to derive actionable insights from data, improve decision-making processes, and help drive strategic initiatives within our organization. As a key member of our team, you will work on end-to-end machine learning and generative AI projects, collaborating closely with cross-functional teams to build and deploy data-driven solutions at scale.

Key Responsibilities:

1. Data Acquisition and Integration

• Gather, clean, and preprocess large datasets from multiple sources, ensuring high data quality and consistency.
• Curate, validate, and maintain high-quality datasets for analytics and machine learning needs.
• Develop automated processes to enhance data quality and reliability.
• Collaborate with data engineers to optimize ETL pipelines and storage solutions to ensure data efficiency and reliability.

2. Data Analysis and Exploration

• Conduct comprehensive exploratory data analysis to understand underlying patterns, trends, and insights.
• Develop and apply advanced statistical and machine learning models to derive valuable insights.
• Design compelling visualizations and dashboards to communicate findings to both technical and non-technical stakeholders effectively.

3. Model Development and Deployment

• Design, build, and optimize predictive and prescriptive machine learning models tailored to business needs.
• Implement and automate model deployment pipelines, ensuring seamless integration into production environments.
• Continuously monitor and maintain model performance, retraining and updating models as needed to maintain accuracy and relevance.

4. Generative AI and Large Language Models (LLM)

• Lead initiatives in building LLM-based applications to drive innovative AI-powered solutions.
• Fine-tune and deploy open-source LLM models, optimizing them for specific use cases and organizational needs.
• Demonstrate experience in implementing the entire LLM lifecycle, from model selection and fine-tuning to deployment and monitoring.

5. Collaboration and Communication

• Work closely with cross-functional teams, including software engineers, data engineers, and business analysts, to define data-driven strategies and actionable insights.
• Effectively communicate complex technical concepts and findings to both technical and non-technical team members.
• Contribute to collaborative projects and participate in discussions to help align data science projects with business objectives.

6. Continuous Learning and Innovation

• Stay up-to-date with the latest advancements in data science, machine learning, and generative AI.
• Identify opportunities to enhance existing data science processes, tools, and methodologies.
• Engage in knowledge-sharing, mentorship, and peer review activities to foster team growth and expertise.

Qualifications:

• Educational Background: Bachelor's or higher degree in Computer Science, Data Science, Statistics, or a related field.

Technical Skills:

• Proficient in Python and its data science libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong command of machine learning frameworks (e.g., TensorFlow, PyTorch) and knowledge of LLM frameworks (e.g., LangChain, Chainlit). ? Experience in SQL for data extraction, transformation, and manipulation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing. ? Knowledge of version control (e.g., Git) and containerization tools (e.g., Docker) for reproducibility and efficient deployment.
• Analytical and Problem-Solving Skills: Ability to tackle complex problems, interpret data meaningfully, and build solutions aligned with business objectives.

Job Type: Full-time

Pay: Up to ?1,800,000.00 per year

Schedule:

• Day shift

Application Question(s):

• What is your current CTC?

Experience:

• total work: 3 years (Required)

Work Location: In person