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Data Scientist
2 weeks ago
**Overview**:
**Responsibilities**:
- Design, build, and optimize machine/deep learning models, including predictive models, recommendation systems, and Gen-AI-based solutions.
- Develop and implement advanced AI agents capable of performing autonomous tasks, decision making, and executing requirement-specific workflows.
- Perform advanced data manipulation, cleansing, and analysis to extract actionable insights from structured and unstructured data.
- Create scalable and efficient recommendation systems that enhance user personalization and engagement.
- Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance.
- Implement and optimize machine and deep learning models for NLP tasks, including text classification, sentiment analysis, and language generation.
- Explore, develop, and deploy state-of-the-art technologies for AI agents, integrating them with broader enterprise systems.
- Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases.
- Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions.
- Effectively communicate technical solutions and findings to both technical and non-technical stakeholders.
**Details**:
- At least 3 years of experience working with data sciences.
- Python proficiency and hands-on experience with libraries like (Pandas, Numpy, Matplotlib, NLTK, Sklearn, and Tensorflow)
- Proven experience in designing and implementing AI agents and autonomous systems.
- Strong expertise in machine learning, including predictive modeling and recommendation systems.
- Hands-on experience with deep learning frameworks like TensorFlow or PyTorch, focusing on NLP and AI-driven solutions.
- Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs.
- Experience in prompt engineering for AI models to enhance functionality and adaptability.
- Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models.
- Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools.
- Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation.
- Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges.
- Hands-on experience working with API frameworks like Flask, FastAPI, etc.
- Git and GitHub proficiency.
- Excellent communication & documentation skills to articulate complex ideas to diverse audiences.
- Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants.
- Familiarity with MLOps pipelines and CI/CD for AI/ML workflows.
- Experience with reinforcement learning or multi-agent systems.
- BE (OR Master) in Computer Science, Data Science, or Artificial Intelligence.
- Agentic AI systems using frameworks like Langchain or similar
**Job Details**:
**Number Of Openings**:
1
**Job Type**:
Full Time
**Posted On**:
12/02/2025
**Location**:
Mumbai, Surat, Indore