Data Scientist

**Experience: 2 to 4 Years**

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.
- 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)**
- 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.

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