11+ Sentiment Analysis Jobs in Bangalore (Bengaluru) | Sentiment Analysis Job openings in Bangalore (Bengaluru)

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  

You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Work Experience:  2 years to 10 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg. 

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

Job Responsibilities

The Software Engineer EIS Developer develops EIS and Java code for intermediate modules, participates in design reviews, conducts code reviews, creates test plans and resolves moderate defects.  The Developer designs, documents, reviews, and maintains components of software solutions for intermediate projects.  It also includes reacting to production problems or supporting production changes where those applications are operating.

• Strong understanding of EIS (V12 or V20) and Core Java concepts
• 5-7 year of experience
• Knowledge of the Insurance business is a plus
• Highly motivated with good written and oral communication skills.
• Ability to lead conversations and coordinate activities across various time zones.
• Flexibility to adapt to changing priorities and assignments, ability to work well under pressure, as well as ability to work independently.
• Ability to be accountable for key processes of high complexity, high risk, and high visibility.
• Ability to learn new skills quickly and willingness to challenge yourself
• Advanced SQL skills (individuals need to have solid SQL debugging and tuning skills)
• Advanced Oracle Knowledge
• Intermediate UNIX

Primary Skills

• EIS V12 or V20
• Product Factory (V12)
• Kraken Rules (V20)
• Java & React
• OOPS
• Java SpringBoot
• SOAP/REST/JSON
• TDD(Unit/Integration/Acceptance)
• Code Refactoring
• GIT 
• Coding standards
• Build Process
• Security (Web security/API Security)
• HTML/CSS
• Cloud Infrastructure
• Jenkins/Gradle
• Strong communication skills
• Strong analytical ability

Experience

• Overall experience of 5 -7 years of software development
• At least 3 years of experience as a Java and React development
• At least 1 year as a full stack developer with Cloud/PCF experience
• Wide experience with a diverse set of technologies, approaches, tools, etc. would be ideal.
• Good knowledge of Java programming, SQL, Unix
• Exposure and knowledge to Agile methodologies
• Experience in Java development and web front-end development.
• Experience deploying to cloud environments a plus
• Exposure to test-driven development
• Strong communication skills
• Passion for growing your skills, tackling interesting work and solving challenging problems
• Enthusiasm for community, learning, and collaboration
• Excitement about open source software

Shift Timing

·        13:00 - 21:30 PM for overlap with onsite business partner

Top college graduate with experience as Ex-Founder's Office / Ex-founder / Ex-product manager / Ex-Sales / Ex-Customer Success profile

Mandatory (Experience 1): Must have 6–10 years of experience in roles such as Ex-Founder’s Office / Ex-Customer Success / Ex-Sales / Ex-Program / customer-facing Ex-Product profiles

Mandatory (Experience 2): Must have strong strategic thinking and excellent communication skills

Mandatory (Experience 3): Must have direct external customer-facing experience, owning enterprise and/or mid-market customers, across post-sales, solutions, delivery, or customer success charters

Mandatory (Experience 4): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams

Mandatory (Experience 5): Must have managed and led a team of 4+ members, with ownership of outcomes

Mandatory (Experience 6): Must have experience scaling customer-facing functions (1→10 or 1→100 journeys)

Mandatory (Graduation): Only IIT candidates from Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati OR BITS Pilani (Pilani campus)

Mandatory (Graduation Year): Candidates should have graduated in 2018 or before

Mandatory (Compensation): Candidate's current CTC should not be less than 35 LPA

• Understanding learning needs and objectives of different cohorts
• Coordinating internal requirements for specific training programs
• Creating invites, encouraging participation and tracking attendance for trainings
• Running post training surveys and analyzing data to measure learning effectiveness and impact
• Managing learning programs end to end
• Supporting in designing and developing learning programs
• Creating summary reports with key learnings, basis training evaluation post trainings
• Running various other training initiatives and tasks as per the need and as the firm evolves

Desired Candidate Profile

• MBA/ Masters in HR or related discipline with 5-6 years of relevant work experience
• Prior experience in corporate learning function is essential
• Ability to execute plans
• Strong program management and organizing capability
• Excellent communication skills
• Ability to coordinate effectively with multiple stakeholders
• Proficiency with Word, Excel and PowerPoint

We are looking for Oracle Apex developer as per below:

• Minimum of 4 years Working experience in Oracle APEX
• SQL Certification
• Strong analytical and problem solving skills with a solid knowledge on system development life-cycle (SDLC) and Agile implementation approach. Candidate should or at least possess experience on the following:
• Business Requirement Document (BRD) review
• Functional Design Document (FSD) design and development
• System and Data migration and mapping
• Test management
• Change management and training
• Project management (i.e. Status reporting, Change Request Management, Issue and Risk management)

• Excellent Java programming skills.
• Experience in Web application Technologies like JAVA/JSP, HTML, Javascript, and CSS.
• Development experience using Java Spring Boot, Maven
• Knowledge and Experience in using REST API
• Experience in Database Query Languages.
• Experience in designing new application framework or migrating to new framework architecture, redesign, working on POC
• Should be open for understanding debugging the architecture of legacy systems and suggest changes wherever applicable.
• Experience in frameworks like Spring, Hibernate
• Experience in Multi-tier development/deployment of Web Application
• Experience in Producing and Consuming RESTful Web Services
• Strong in developing complex SQL Scripts to generate reports
• Familiarity in Maven, Gitx
• Familiarity in Unit Testing (JUnit)
• Familiarity with Continuous Integration tools (Jenkins etc)

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility