11+ Pattern recognition Jobs in Chennai | Pattern recognition Job openings in Chennai

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Position: Oracle DBA

Experience: 6–8 Years

Key Responsibilities:

1. Install, configure, and maintain Oracle databases in production and non-production environments.
2. Perform database tuning, backups, and recovery.
3. Monitor database performance and implement improvements.
4. Ensure data security and compliance with audit requirements.
5. Handle upgrades and patching of database environments.

Skills Required:

1. Strong experience with Oracle 11g/12c/19c.
2. Hands-on with RMAN, Data Guard, and Oracle RAC.
3. Proficient in writing complex SQL and PL/SQL.
4. Oracle Certified Professional (OCP) preferred.

We are looking UI- Angular candidate with Java Coding experience

1. Look for Angular 8 and above heavy profiles [Angular – 75%; Java – 25%]
2. The resource should be an expert in Angular.
3. CSS knowledge is must.
4. MFT is must.
5. Should have experience in Java based angular work.
6. 25% java questions will be based on Core Java and Java Spring.   

Location: Chennai/Pune

Mandatory

·  Experience in Research, Design, Architecting high-performance iOS applications & saw commercially successful scale.

·  Must have built applications individually (end-to-end).

·  Have Experienced in Swift, Objective C, Cocoa framework, UIKit, Core Location, GCD, Auto Layout, Xcode & iOS applications.

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

Strong hands-on experience with ReactJS, Redux, TypeScript, HTML, Bootstrap, Material UI, CSS3/SCSS, Webpack, NPM, NVM, Visual Studio Code

Knowledge/Experience on Restful APIs integration.

Unit testing with Jasmine or an equivalent framework

Experience or Knowledge in developing complex reusable component libraries such as complex grids, spreadsheet components etc.,

Strong in UI/UX standards implementation

Understanding of browser fundamentals and Page Optimizations

Experience working with Git and Azure

• Proficiency in Java, with a good understanding of its ecosystems
• Sound knowledge of https://www.simplilearn.com/tutorials/java-tutorial/oops-interview-questions" target="_blank">Object-Oriented Programming (OOP) Patterns and Concepts
• Familiarity with different design and architectural patterns
• Skill for writing reusable Java libraries 
• Knowhow of Java concurrency patterns
• Basic Understanding of the concepts of MVC (Model-View-Controller) Pattern, JDBC (Java Database Connectivity), and RESTful web services
• Experience in working with popular web application frameworks like Play and Spark
• Relevant Knowledge of Java GUI frameworks like Swing, SWT, AWT according to project requirements
• Ability to write clean, readable Java code
• Basic knowhow of class loading mechanism in Java
• Experience in handling external and embedded databases
• Understanding basic design principles behind a scalable application
• Skilled at creating database schemas that characterize and support business processes
• Basic knowledge of https://www.simplilearn.com/jvm-and-the-implications-of-sandbox-model-rar41-article" target="_blank">JVM (Java Virtual Machine), its drawbacks, weaknesses, and workarounds
• Implementing automated testing platforms and unit tests 
• In-depth knowledge of code versioning tools, for instance, Git
• Understanding of building tools like Ant, Maven, Gradle, etc
• Expertise in continuous integration

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Project

You will be working to build a browser-based IDE and various other inclusive edtech product, if you’re up for the task - apply

Requirements 

Deep understanding of HTML, CSS, and JavaScript.

Solid experience working with the PHP and latest Laravel version

Proven expertise in managing API services (REST and SOAP)

Good working knowledge in design and query optimization of databases

Familiarity with server tools (Apache) and cloud servers (Azure / AWS)

Our Culture

We are passionate about other’s success and believe that all individuals are unique and capable of reaching their full potential. Our goal is to challenge the status quo and make a difference.

Do you want to translate your skills & time into something more meaningful? Join us to empower individuals who have been neglected by society and break barriers through tech. Together, we will build a wider movement for educational equity.