Data Scientist
- Everestek Technosoft
- 3 - 7 years
- Mumbai
- 2 months ago
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Job Description
Overview
The role involves developing AI agents, implementing NLP models, and deploying scalable AI solutions on cloud platforms. Ideal candidates should have 3+ years of experience, strong Python skills, expertise in ML/DL frameworks, and familiarity with NLP, cloud services (AWS), and AI automation tools. Join us to drive cutting-edge AI innovations in a collaborative and fast-paced environment.
Responsibilities
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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.
- Prompt engineer to develop new and enhance existing Gen-AI applications.
- (Chatbots, RAG)
- 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.
- Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization.
- 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 Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: Everestek TechnosoftLocation(s): Mumbai
Keyskills: cd continuous integration python github cloud services natural language processing scikit-learn nltk documentation dl cloud platforms numpy machine learning pandas tensorflow git data science matplotlib pytorch aws flask ml communication skills
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