11+ Data extraction Jobs in Chennai | Data extraction Job openings in Chennai

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

We are seeking a skilled Full Stack (FSE) Developer with expertise in Java, Spring Boot development to join our dynamic team. In this role, you will be responsible for development of critical banking application across various business domains. You will collaborate closely with cross-functional teams to ensure high-quality solutions are developed, maintained, and continuously improved.

Responsibilities:

Development of business-critical banking applications.

Develop new features for banking applications using FSE technologies.

Ensure code quality through proper testing, reviews, and adherence to coding standards.

Collaborate with design, backend, and other teams to deliver seamless user experiences.

Troubleshoot, debug, and optimize performance issues.

Participate in agile development processes and contribute to continuous improvement initiatives.

Requirements:

Bachelors/Masters degree in computer science, Software Engineering, or a related field.

4 – 6 years of relevant experience in application development.

Solid experience in:

Java, Spring Boot.

APIs / REST.

Kubernetes / OpenShift. 

Azure DevOps.

JMS, Message Queues.

Nice to have knowledge in: 

Quarkus.

Apache Camel.

Soft skills / Personality:

Excellent English communication skills / proactive communication.

Candidate needs to have Self-dependent working style.

Candidate needs to have problem solving skills (Strong analytical skills to identify and solve complex issues).

Candidate needs to show high Adaptability (Flexibility in adjusting to different working environments and practices).

Candidate needs to be quick in Critical thinking (Evaluating information and making informed decisions).

Candidate needs to have Team collaboration (Ability to work collaboratively with a distributed team) character.

Candidate needs to have Cultural awareness ability.

Candidate needs to be Initiative (Proactively seeking solutions and improvements).

Good to have knowledge about Co Banking systems.

Good to have Banking domain knowledge.

Experience in customer facing is an advantage.

Skills & Requirements

Java, Spring Boot, APIs/REST, Kubernetes, OpenShift, Azure DevOps, JMS, Message Queues, Quarkus, Apache Camel, Excellent English communication, Proactive communication, Self-dependent working, Problem-solving, Analytical skills, Adaptability, Critical thinking, Team collaboration, Cultural awareness, Initiative, Co-banking systems knowledge, Banking domain knowledge, Customer-facing experience.

Role Summary

As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.

Requirements:

·      Around 4 years of working experience in data warehousing / BI system.

·      Strong hands-on experience with Snowflake AND strong programming skills in Python

·      Strong hands-on SQL skills

·      Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.

·      Knowledge on debt for cloud databases

·      AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions

·      Solid understanding of ETL processes, and data warehousing concepts

·      Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework

·      Experience with scrum methodologies

·      Infrastructure build tools such as CFT / Terraform is a plus.

·      Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.

·      Strong team player with good communication skills.

Overview Optisol Business Solutions

OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.

Benefits, working with Optisol

·      Great Learning & Development program

·      Flextime, Work-at-Home & Hybrid Options

·      A knowledgeable, high-achieving, experienced & fun team.

·      Spot Awards & Recognition.

·      The chance to be a part of next success story.

·      A competitive base salary.

More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.

• Cultivating solid relationships with clients through the provision of exceptional service.
• Should be open to travel and explain the products of clients to relevant stakeholders
• Creating a positive onboarding experience for new clients.
• Regularly interacting with clients and their audience through telephone calls, email communications, or face-to-face meetings.
• Identifying ways to overcome clients' challenges
• Maintaining an accurate record of all existing and potential clients.
• Responding to client inquiries in a timely and professional manner.
• Training and providing overall guidance to other fellow members.
• Organizing training seminars to enable clients to engage with the stakeholders
• Should be proficient in using excel.
• Should have 1-3 years of experience
• Mediator between the clients and different departments in the organization.

• Interest in our tech stack (Java or Scala, SQL Databases, NoSQL, Microservices, and AWS)
• Strong computer science fundamentals with data structures, algorithms, various programming languages, distributed systems, etc. 
• Understanding of engineering best practices—you constantly seek to improve engineering standards, tooling and processes
• Ability to write “good code” - easily understandable, secure and testable! 
• Comfortable helping drive technical decisions within our Engineering team
• Experience building applications at scale

All Time Design is looking for Business Development Manager. The ideal candidate will have a track record of new business pipeline generation over the phone within an Enterprise capacity and the ability to close opportunities directly.

Job responsibilities include but are not limited to:

• Growing revenue via prospecting, qualifying, selling, and closing client accounts
•   Meeting Quarterly & Annual Revenue Targets
•   Managing perspective client relationships through all phases of the sales cycle
•   Providing a consultative solutions sales process to prospects
•   Conducting one-on-one and group sales presentations
•   Calling to establish new opportunities
•   Tracking customer information, forecasts, and reports
•   Developing and maintaining prospect and customer lists based on strategic marketing data and other sources for sales leads

Requirements:

• Must have experience in SaaS/ Tech/ IT companies.
•  2+ years of sales experience focused on growing existing business or new business
•   Large account management or project management experience
•  Proven track record for closing large and mid-size companies
•  Ability to adapt, overcome objections, and learn complex solutions
•   Strong time management skills
•  Create new business opportunities through in-depth conversations and relationship building
•  Proven track record of growing business from an established client base
•  Strong time management skills
•  Consistent and documented track record for achieving monthly/quarterly/annual target metrics
• Strong oral and written communication skills are a must
•   Ability to work in a fast-paced, team environment with revenue deadlines
•  Working knowledge of computer applications such as Microsoft Office
•   Must have knowledge of CRM