Data Scientist

Job Title: Data Scientist

Location: Mumbai

Job Type: Full-time

About Us: Everestek is a forward-thinking organization specializing in designing and deploying

cutting-edge AI solutions. From powerful recommendation engines and intuitive chatbots to

state-of-the-art generative AI and deep learning applications, we empower businesses to

harness the full potential of their data. Our mission is to create transformative, data-driven

products that enable our clients to innovate faster, personalize their offerings, and stay ahead in

an ever-evolving tech landscape.

At Everestek, we foster a culture of collaboration, creativity, and continuous learning. Our

dynamic team of data scientists, engineers, and innovators is dedicated to pushing the

boundaries of what's possible in artificial intelligence. If youre passionate about solving complex

problems and want to be part of an organization that values experimentation and impact,

Everestek is the place for you.

Key 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.

• 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.

Qualifications and Skills:

Required:

• 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.

Preferred:

• 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.