1,727 Nlp Engineer jobs in India

Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

Experience: 6-8years

Looking for Senior Data Science Developers (immediate joiners).

Key Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and opportunities.
• Develop and deploy machine learning models to solve business challenges.
• Communicate findings through data visualizations and reports.
• Collaborate with data engineers, analysts, and product teams to turn insights into action.
• Design and implement A/B tests to evaluate feature performance or business hypotheses.
• Translate business problems to data science problem
• Work with stakeholders to understand data needs and deliver custom solutions.

Must have Skills:

• Proficiency in Python for data analysis and modeling.
• Strong knowledge of SQL and working with relational databases.
• Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
• Experience in Forecasting will be added advantage
• Solid understanding of statistics , probability , and hypothesis testing .
• Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
• Working knowledge with cloud platforms like AWS, Databricks (Databricks preferred)
• Experience in MLOP's and CI/CD work flow
• Expeirence in developing end to end pipeline in any of cloud platform (AWS and Databricks)

Company Overview

GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.

Job Overview

We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.

Qualifications and Skills

• Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
• Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
• Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
• Experience with payroll processing, reflecting an understanding of financial data management.
• Data visualization skills to communicate data insights effectively. (Mandatory skill)
• Ability to work independently and collaboratively within a team to achieve common objectives.
• Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
• Excellent communication skills, both written and verbal, to present data findings clearly.

Roles and Responsibilities

• Analyze large datasets to discover trends and patterns that support business objectives.
• Collaborate with team members to understand data requirements and design analytical solutions.
• Develop and implement data models to optimize business processes and improve operational efficiency.
• Create intuitive data visualizations and dashboards to present insights to stakeholders.
• Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
• Support the companys data-driven culture by promoting and educating team members on data importance.
• Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
• Stay updated on industry trends and advancements in data science to apply best practices.

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai/Bangalore

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Interested candidates send updated resume to

• Design, develop, and implement state-of-the-art NLP models and algorithms.
• Process, clean, and prepare large volumes of text data for model training.
• Develop and optimize features for text data, applying various NLP techniques.
• Train, evaluate, and fine-tune machine learning models for tasks such as text classification, sentiment analysis, NER, and summarization.
• Build scalable and robust NLP pipelines for production deployment.
• Collaborate with cross-functional teams to integrate NLP solutions into products.
• Stay abreast of the latest research and advancements in NLP and deep learning.
• Write clean, efficient, and well-documented code in Python.
• Participate in code reviews and contribute to team best practices.
• Troubleshoot and resolve issues in deployed NLP models.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
• Minimum of 3-5 years of experience in Machine Learning, with a strong focus on NLP.
• Proven experience in developing and deploying NLP models in production.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Solid understanding of deep learning architectures (Transformers, RNNs, LSTMs).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills in a remote setting.
• Knowledge of data structures, algorithms, and software design principles.

• Design, train, and deploy machine learning models for various NLP tasks, including text classification, sentiment analysis, named entity recognition, and machine translation.
• Process and analyze large volumes of unstructured text data.
• Develop and implement efficient data preprocessing and feature engineering pipelines.
• Experiment with state-of-the-art NLP models and techniques (e.g., transformers, LSTMs, BERT).
• Collaborate with product managers and other engineers to integrate NLP solutions into products and services.
• Evaluate model performance, identify areas for improvement, and implement optimizations.
• Stay current with the latest research and advancements in NLP and machine learning.
• Contribute to the development of scalable and robust machine learning infrastructure.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and provide constructive feedback to peers.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Proven experience in developing and deploying NLP models in a production environment.
• Strong understanding of NLP concepts, algorithms, and techniques.
• Proficiency in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of machine learning principles and best practices.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

• Design, build, and deploy scalable NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
• Develop and implement state-of-the-art NLP algorithms and techniques, leveraging deep learning frameworks.
• Process and analyze large volumes of text data, including cleaning, tokenization, and feature engineering.
• Collaborate with product managers and software engineers to integrate NLP models into production systems.
• Evaluate and fine-tune model performance, optimizing for accuracy, efficiency, and robustness.
• Stay abreast of the latest research and advancements in NLP and machine learning.
• Contribute to the development of internal tools and libraries to streamline NLP development workflows.
• Conduct experiments, analyze results, and present findings to technical and non-technical stakeholders.
• Ensure the ethical and responsible development and deployment of NLP technologies.
• Troubleshoot and debug issues related to NLP model performance and implementation.
• Mentor junior engineers and contribute to knowledge sharing within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a specialization in NLP.
• Minimum of 5 years of professional experience in machine learning, with a strong focus on NLP development and deployment.
• Proven expertise in developing and implementing various NLP techniques (e.g., RNNs, LSTMs, Transformers, BERT, GPT).
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, spaCy, NLTK, and Hugging Face Transformers.
• Experience with data preprocessing, feature engineering, and model evaluation for text data.
• Strong understanding of machine learning principles, algorithms, and best practices.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to thrive in a fully remote, fast-paced environment.
• Ability to work independently and manage complex projects from conception to completion.