
Data Scientist
3 days ago
We are seeking a talented and motivated Data Analyst/Scientist with 1-2 years of experience to join our dynamic team. The role
involves leveraging AI/ML techniques, data analytics, and modern frameworks to build innovative solutions, drive business insights,
React.js, Next.js, and Nest.js.
**Key Responsibilities**:
1. AI/ML Development:
- Build and deploy AI/ML models, including Gen AI, LLM/SLM, and Deep Learning algorithms, to solve business
challenges.
- Implement machine learning pipelines to analyse and process large datasets eIectively.
2. Data Analytics:
- Conduct detailed data analysis to generate actionable insights.
- Design and optimize predictive models for data-driven decision-making.
3. Cloud Integration:
- Leverage Google Cloud Platform (GCP) for scalable solutions and data workflows.
- Ensure eFFective integration of data pipelines and analytics tools on GCP.
4. Web Development Support:
- Collaborate with developers to implement features using Node.js, React.js, Next.js, and Nest.js frameworks.
5. Collaboration and Communication:
- Work closely with cross-functional teams to deliver solutions that align with business needs.
- Present findings and recommendations to stakeholders clearly and eIectively.
**Qualifications**:
- Experience: 1 - 3 years in data analytics, AI/ML, or related roles.
- Technical Skills:
- Proficient in Python and AI/ML libraries.
- Hands-on experience with Google Cloud Platform (GCP).
- Familiarity with JavaScript frameworks (Node.js, React.js, Next.js, Nest.js).
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
**Job Types**: Full-time, Permanent
Pay: Up to ₹1,000,000.00 per year
**Benefits**:
- Health insurance
- Paid sick time
- Provident Fund
- Work from home
Schedule:
- Monday to Friday
**Experience**:
- total work: 2 years (required)
- Google Cloud Platform: 1 year (required)
- Python: 1 year (required)
- Generative AI: 1 year (required)
**Location**:
- Mumbai, Maharashtra (required)
Work Location: In person
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