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We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

Job Title : Embedded System Software Engineer
Experience Required : 1 to 3 Years
Duration : 6+ Months (Extendable)
Notice Period : Immediate
Job Description :
We are seeking a motivated and skilled Embedded System Software Engineer to join our team.
The ideal candidate will have 1 to 3 Years of experience in embedded software development with a solid foundation in C++ and Qt 5.
This role involves working with embedded Linux systems and contributing to the development and maintenance of robust embedded applications.
Mandatory Skills : C++, Qt 5, Embedded Linux (Yocto preferred), SOAP/REST protocols, Git, problem-solving, and analytical skills.
Key Responsibilities :
- Design, develop, and maintain embedded software applications using C++ and Qt 5.
- Work on embedded Linux systems, with a preference for experience in The Yocto Project.
- Integrate and manage network communication using protocols such as SOAP and REST.
- Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
- Utilize Git for version control and collaborative development.
- Troubleshoot and debug software and system issues efficiently.
- Continuously improve code quality through code reviews, testing, and optimization.
Required Skills and Qualifications :
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1 to 3 Years of hands-on experience in software development.
- Proficiency in C++ and Qt 5 Framework.
- Experience working with Embedded Linux; knowledge of Yocto Project is a strong plus.
- Basic understanding of network protocols, including SOAP and REST.
- Familiarity with Git or other version control systems.
- Strong problem-solving and analytical skills.
Preferred Skills (Nice to Have) :
- Experience in cross-compiling and deployment for embedded targets.
- Familiarity with CI/CD tools and automated testing for embedded systems.
- Understanding of hardware-software integration challenges.

Internship Opportunity – Embedded Systems & IoT
Join our hands-on internship program designed for engineering students passionate about core tech. You'll work on real-time projects involving microcontrollers, sensors, RTOS, circuit design, and IoT protocols.
Gain exposure to AI-integrated embedded applications and build a strong project portfolio with mentorship and placement support.
Location: Bangalore (Hybrid/On-site)
Duration: 2–3 months
Eligibility: Final-year students and pre final year (ECE/EEE/CSE/Mechatronics)
#EmbeddedSystems #IoTInternship #EngineeringInternship #CoreTechCareers #Microcontrollers #RTOS #PCBDesign #IoTProjects #KnowxInnovations #AIoT #TechInternship #SkillDevelopment #HandsOnLearning #BangaloreInternship #StudentInternship

Job Description:
We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.
Key Responsibilities:
- Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
- Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
- Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
- Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
- Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
- DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.



About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.


- Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
Requirements
- 2 - 4 years of relevant experience in Data science.
- Preferred education: Bachelor's degree in a technical field or equivalent experience.
- Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
- Experience in risk and credit score domains preferred.


We are seeking a Senior Software Engineer / Senior Game Developer for feature development and engineering initiatives for a reputable studio based in the United States.
The game that is being worked on has tens of millions of daily active users, and the work will entail creating new game modes, new UI screens, and new features.
The ideal candidate would know how to use multiple game frameworks and be comfortable learning new ones.
All current game development is using a language called Monkey X, which is a cross-platform reimagining of the BASIC programming language (with object-oriented programming support).
The team is currently split between California, Texas, and Germany. The candidate would need to overlap mostly with European time zones but sometimes be available for calls with the West Coast.
Time zone/Location: remote, mostly overlap with CET time zone
Responsibilities
o Learn or know Monkey X and integrate your existing game development knowledge into
the codebase.
o Help mentor and direct other developers on the team
o Become the right hand of the lead developer and offer assistance as needed
Requirements
o Unity, Cocos2d, Flixel, Arcade, Pygame, Phaser, or other game framework experience.
o The ability and comfort to learn new languages and frameworks quickly
o At least one shipped game, portfolios of games welcome
o C#, Java, VB.NET, Objective C, C++, or other object-oriented programming language and OOP experience required.
o Knowledge of Design Patterns



- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
We are looking for a self motivated and passionate individual, with strong desire to learn and ability to lead. This position is for a Flight Test Engineer, with exposure to building and flying sUAS (RC Multirotors and Fixed wings). See the detailed job description below.
Responsibilities
• Plan and execute flight test plans for new software features, electronics, sensors, and payloads.
• Perform hands-on mechanical and electrical integration of new hardware components on the internal fleet of test vehicles for R&D and testing.
• Troubleshoot and debug any components of a drone in the office or in the field. Maintenance of vehicles – keep the fleet ready for flight tests.
• Participate in defining and validating customer workflows and enhancing User experience.
• Coordinate cross-team efforts among FlytBase engineers to resolve issues identified during flight tests.
• Drive collaboration with FlytBase Developer team, Business Development team and Customer Support team to incorporate customer feedback and feature requests into FlytBase’s product development cycle.
• Learn about the domain and competitors to propose new drone applications, as well as, improvements in existing applications
Experience/Skills
• Experience in flight testing and operating/piloting small UAS and/or RC aircraft (both fixed-wing and multirotor systems).
• Experience in using flight-planning and ground control station software.
•Familiarity with UAV platforms, like, Pixhawk, DJI, Ardupilot and PX4.
•Experience in integrating, operating, and tuning autopilots on a variety of unmanned vehicles.
•Basic knowledge of electrical test equipment (multimeter, oscilloscope) and UAS sensors.
•Ability to work hands-on with electro-mechanical systems including assembly, disassembly, testing, troubleshooting.
•Good verbal and written communication skills.
Good to have
• RF communications fundamentals.
• Passionate about aerial robots i.e. drones.
• Programming languages and scripting for engineering use (C++, C, MATLAB, Python).
Compensation:
As per industry standards.
Perks:
+ Fast-paced Startup culture
+ Hacker mode environment
+ Great team
+ Flexible work hours
+ Informal dress code
+ Free snacks

Professor:
To drive the campus academic operations in close coordination with,
a) Head of Departments. b) Faculty members c) Students
To create an 'IT centre of excellence' at the campus.
Should have driven the academic function of IT dept.
Should have experience of handling the academic operations
Associate / Assistant Professor:
Adhering to university time line (other the new courses)
To ensure coverage of Syllabus as per university standards
Learning Outcome
Examination Result ( Includes both Internal & Main Exams)
Knowledge Improvement Program
Innovation & Development
Technical Skills:
- General: C++, Java, OS, RDBMS, Software Engg, Data Structure etc
- Niche technologies like Cloud, Mobility, Information security, Data Science, IoT and Artificial Intelligence to name a few
Behavioural Competencies:
- Strong Leadership Qualities
- Excellent Communication skills
- Strong interpersonal skills to work with diverse teams
- Strong Presentation Skills
Qualification: B.Tech, M.Tech & Ph.D - Completed / Pursuing
Year of Exp:
- Professor: Min 12+ years of exp post PG and 5 years post Ph.D
- Associate Professor: Min 10+ years of exp post PG and 3 years post Ph.D
- Assistant Professor: 2+ years exp
How you match
Skills
-
MatchTeaching
-
No matchData Privacy
-
No matchInternet of Things (IoT)
-
No matchArtificial Intelligence (AI)
-
No matchCurriculum
-
No matchNetwork Security
-
No matchPresentation Skills
-
No matchInformation Security
-
No matchRDBMS
-
No matchInterpersonal Skills.

