URGENT HIRING II SR. DATA SCIENTIST- GEN AI ( COREOPS.AI)

CoreOps.AI; Dadri; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

CoreOps.AI is seeking a seasoned Data Scientist to lead a Gen‑AI engineering team, overseeing data prep, model training, and production deployment. You will work with cross‑functional teams to define problems, prototype solutions, and ensure scalable AI systems.

The ideal candidate has 6–10 years building Gen‑AI apps, strong ML/DL skills, and experience with Langchain, vector databases, and big data platforms. Proven ability to deploy reliable AI at scale is essential.

Qualifications

• Bachelor’s or master’s degree in computer science, data science, mathematics or related field.
• 6–10 years’ experience building Gen-AI applications.
• Production-grade AI deployment experience.
• Familiarity with Langchain and vector databases.

Responsibilities

• Lead data extraction, cleaning, and pre-processing for Gen-AI projects.
• Train models and deploy them to production.
• Collaborate with cross-functional teams to define problems and prototypes.
• Ensure robustness, scalability, and reliability of AI systems.

Skills

Statistical methods

Deep learning

NLP

Production apps

Langchain

Vector databases

Retrieval algorithms

Big data

Ubuntu/Linux

Communication

Education

Bachelor's/Master's in CS/Data Science

6-10 years Gen-AI experience

Tools

TensorFlow

PyTorch

Keras

Job description

Company Description

About thecompany:

CoreOps.AI is a new age companyfounded by highly experienced leaders from the technology industry with avision to be the most compelling technology company that modernizes enterprisecore systems and operations.

Website: https://coreops.ai

CoreOps is building the AI operating system for enterprises - accelerating modernization by 50% and cutting costs by 25% through intelligent automation, data orchestration, and legacy transformation.

At CoreOps.AI, we believe in the quiet power of transformation—like the dandelion that seeds change wherever it lands.

Inspired by this symbol of resilience and growth, our enterprise AI solutions are designed to take root seamlessly, enrich core operations, and spark innovation across your business.Founded by industry veterans with deep B2B expertise and a track record of scaling global tech businesses, CoreOps.AI brings the power of agentic AI to modernize legacy systems, accelerate digital transformation, and shape the future of intelligent enterprises.

Job Description

Overview:

We areseeking a highly motivated and experienced data scientist to help us in leadingthe team of Gen-Ai Engineers involved. You are required to lead & manageall the processes from data extraction, cleaning, and pre-processing, totraining models and deploying them to production. The ideal candidate will bepassionate about artificial intelligence and stay up-to-date with the latestdevelopments in the field.

Key Responsibilities

• Utilize frameworks like Langchain for developingscalable and efficient AI solutions.
• Integrate vector databases such as Azure CognitiveSearch, Weavite, or Pinecone to support AI model functionalities.
• Workclosely with cross-functional teams to define problem statements and prototypesolutions leveraging generative AI.
• Ensurerobustness, scalability, and reliability of AI systems by implementing bestpractices in machine learning and software development
• Exploring and visualizing data to gain anunderstanding of it, then identifying differences in data distribution thatcould affect performance when deploying the model in the real world
• Demonstrable history of devising and overseeingdata‑centred projects
• Verifying data quality, and/or ensuring it via datacleaning
• Supervising the data acquisition process if moredata is needed
• Finding available datasets online that could beused for training
• Defining validation strategies, feature engineering& data augmentation pipelines to be done on a given dataset
• Training models and tuning their hyperparameters
• Analysing the errors of the model and designingstrategies to overcome them
• Deploying models to production

Preferred Skills

• Proficiency in statistical techniques such ashypothesis testing, regression analysis, clustering, classification, and timeseries analysis to extract insights and make predictions from data.
• Proficiency with a deep learning framework such asTensorFlow, PyTorch and Keras
• Specialized in Deep Learning (NLP) and statisticalmachine learning.
• Experience with developing production-gradeapplications.
• Familiaritywith Langchain framework and vector databases like Azure Cognitive Search,Weavite, or Pinecone.
• Understanding and experience with retrievalalgorithms.
• Worked on Big data platforms and technologies suchas Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing largevolumes of data efficiently and at scale.
• Familiarity in working and deploying applicationson Ubuntu/Linux system
• Excellent communication, negotiation, andinterpersonal skills.

Qualifications and Education Requirements

• Bachelor’s/Master’s degree in computer science,data science, mathematics or a related field.
• At least 6-10 years’ experience in building Gen-Aiapplications.