111 Data Scientist jobs in Coimbatore

Job Title: Data Scientist – AI/ML & RAG Ontology

Location: Remote

Shift timings: 02:00 PM to 11:00 PM

Overview:

We are looking for a skilled Data Scientist with experience in AI/ML and RAG (Red-Amber-Green) ontology development to help build a domain-specific platform that reconciles policies and laws using technology. The solution will be implemented in Azure and designed to provide accurate, context-aware answers without relying solely on AI outputs.

Key Responsibilities:

• Develop and implement RAG ontology models within Azure.
• Build AI/ML pipelines for domain-specific Q&A (e.g., healthcare policy).
• Collaborate with a team of developers in an agile, fast-paced environment.
• Guide junior/local team members and contribute to model refinement.
• Provide answers and insights with or without AI support.

Requirements:

• 5+ years of experience in AI/ML, ontology modeling, or data science.
• Strong skills in Azure, Python, and ML tools (e.g., PyTorch, vector DBs).
• Experience with policy/legal/healthcare domains is a plus.
• Self-starter, agile mindset, and willing to take ownership.

Title: Data Scientist

About RevX :

Made for Growth, Built for App Marketers.

RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users.

That’s why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth.

We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue.

Position description

We are seeking a talented and motivated Data Scientist with 3-6 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets , we want to hear from you.

As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights.

Your work will directly influence business strategy, product development, and campaign optimization.

Major Responsibilities

• Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems.
• Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance.
• Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights.
• Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks.
• Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes.
• Evaluate and improve model performance, calibration, and deployment strategies for real-time applications.
• Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets.
• Conduct A/B testing and other experimental designs to validate model performance and business strategies.
• Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings.
• Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP).

Required Experience/Skills

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3-6 years of experience in data science or machine learning roles.
• Strong proficiency in Python for machine learning, data analysis, and deep learning applications.
• Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms.
• Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred).
• Advanced SQL skills for data querying and manipulation from large datasets.
• Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker.
• Strong understanding of A/B testing, statistical tests, experimental design, and methodologies.
• Experience in clustering, segmentation, and other unsupervised learning techniques.
• Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Education

• Bachelor of Engineering or similar degree.

Experience: 7+ years in Data Science / ML, with strong hands-on experience in DataRobot

Location: Remote

Budget: As per market standard

• Deep hands-on experience with DataRobot (AutoML, MLOps, and advanced capabilities)
• Strong understanding of ML algorithms, modeling techniques, and evaluation metrics
• Proficiency in Python, SQL, and data wrangling
• Ability to explain complex ML outputs to non-technical stakeholders

We are on the lookout for a Data Scientist with a deep focus on Large Language Models (LLM), General AI, and specialized knowledge in deploying these technologies via APIs using Flask, FastAPI, or Django. This role requires a keen understanding of the latest in AI, including familiarity with Langchain and LlamaIndex for advanced LLM deployment. The ideal candidate will lead our efforts in leveraging LLM for innovative applications, ensuring scalable and efficient model deployment.

Responsibilities

• Lead the development and deployment of LLM and General AI models, focusing on scalable solutions.
• Specialize in API development for LLM deployment using Flask, FastAPI, or Django, ensuring seamless integration into our products.
• Design, construct, install, test, and maintain highly scalable data management systems, ensuring robust data pipelines for AI deployments.
• Implement data ingestion routines both from within and outside the company, ensuring data quality and accessibility for advanced analytics.
• Demonstrate a deep understanding of Langchain and LlamaIndex for cutting-edge LLM applications.
• Collaborate with product teams and stakeholders to implement AI-driven solutions that meet business needs.
• Stay updated with AI advancements, particularly in LLM and deployment methodologies, to keep our solutions innovative.

Qualifications

• Expertise in LLM, General AI, and the deployment of AI models.
• Strong experience in API development with Flask, FastAPI, or Django.
• Knowledge of Langchain and LlamaIndex for LLM applications.
• Expertise in AI and ML development tools, frameworks, and libraries (TensorFlow, PyTorch, GPT, etc.).
• Proven ability in data engineering, including managing data pipelines, databases, and real-time data processing systems.
• Proficient in Python and familiar with AI/ML libraries and frameworks.
• Innovative thinker with excellent problem-solving capabilities.
• BSc/BA in Computer Science, Engineering, or related; a graduate degree in a relevant area is highly preferred.

Data Scientist- India

Contract role- 12 months

Work from home (anywhere in India)

Day Rate- INR 15000/day (with 10% TDS per month)

A senior Data Scientist with good experience with DataBricks and Azure is required for one of our global clients.

Essentials: -

1. NLP is good to have
2. Fully proficient with the latest LLM design
3. AI evaluation frameworks (transition from experiments AI production system)
4. Need to measure the quality of AI flows
5. Databricks/ AZURE
6. Lang Chain, OpenAI, RAG
7. Custom agentic flows
8. MCP servers and tools

Requirements:

• Proven experience as a Data Scientist.
• Proficiency with Databricks and its ecosystem.
• Strong programming skills in Python, R, or Scala.
• Experience with big data technologies such as Apache Spark, Databricks.
• Knowledge of SQL and experience with relational databases.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience).

Key Skills We’re Looking For

1. Machine Learning Mastery

• Strong experience with regression, classification, clustering, regularization, and model tuning.
• Familiarity with CNNs, RNNs, Transformers is a plus.

1. Python Programming

• Proficiency in NumPy, Pandas, Scikit-learn.
• Ability to build ML models from scratch and write clean, production-grade code.

1. SQL & Data Handling

• Able to query large datasets efficiently and apply rigorous data validation.

1. Statistical & Analytical Thinking

• Solid grasp of hypothesis testing, confidence intervals, and interpreting results in business context.

1. ML System Design

• Experience building ML pipelines and deploying models in production (REST APIs, batch jobs, etc.).
• Understanding of monitoring and retraining models post-deployment.