Graphic Designer

Experience Required: 2-5 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are looking for a skilled Android Developer with strong hands-on experience in Kotlin, mobile databases, Firebase, and third-party integrations. The ideal candidate should be passionate about building high-performance, scalable mobile applications and have a strong understanding of the full mobile development lifecycle.

Roles & Responsibilities

• Develop and maintain high-quality native Android applications using Kotlin.
• Work closely with the product and backend teams to implement new features and functionalities.
• Integrate RESTful APIs for seamless data flow and real-time updates.
• Work with mobile databases such as Realm / Realtime databases for data storage and offline handling.
• Implement and manage Firebase features including push notifications, authentication, analytics, etc.
• Integrate payment gateways and other third-party SDKs/APIs as required.
• Optimize application performance, usability, and reliability.
• Handle app releases, versioning, and updates on the Google Play Store.
• Troubleshoot, debug, and resolve technical issues in a timely manner.

Qualifications

• B.Tech / MCA (Preferred)
• 2–5 years of relevant industry experience as an Android Developer.
• Strong experience with Kotlin.
• Hands-on experience with Realm / Real-time Databases.
• Proficiency with Firebase services, especially push notifications.
• Expertise in payment gateway integrations and third-party libraries.
• Strong knowledge of RESTful APIs and backend communication.
• Experience with Android SDK, Android Studio, and architecture components (MVVM, MVP, etc.).
• Knowledge of Git or other version control systems.

🚀 Hiring: React Native 

⭐ Experience: 5+ Years

📍 Location: Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Looking for an experienced React Native with:-

✅Develop and maintain cross-platform mobile apps using React Native

✅Write clean, efficient, and reusable code

✅Experience with REST APIs, Redux, and app stores

✅Optimize app performance and troubleshoot issues

✅Integrate APIs and third-party libraries seamlessly

Company Name - Bhanzu formerly (Exploring Infinities).

Website - https://www.bhanzu.com/

Location - HSR Layout, Bangalore

Workdays: 6-days

Key Responsibilities:

• Candidate Sourcing: Assist in sourcing candidates through various channels, such as online job boards, social media platforms, and professional networks.
• Resume Screening: Review resumes and applications to identify qualified candidates and maintain an organized candidate pipeline.
• Interview Coordination: Schedule and coordinate interviews between candidates and hiring managers, ensuring a smooth and efficient process.
• Candidate Communication: Maintain regular communication with candidates, providing updates on the status of their applications and answering any questions they may have.
• Applicant Tracking: Update and maintain the applicant tracking system (ATS) with accurate and up-to-date candidate information.
• Recruitment Advertising: Support the creation and posting of job advertisements on various online platforms and monitor their effectiveness.
• Employer Branding: Contribute to employer branding initiatives by creating content for social media platforms and assisting in the organization of recruitment events.
• Reference Checks: Conduct reference checks for selected candidates to gather additional insights and validate qualifications.
• Data Analysis: Assist in analyzing and reporting recruitment metrics to track the effectiveness of sourcing strategies and hiring processes.
• Administrative Support: Provide administrative support to the Talent Acquisition team, such as organizing files, maintaining documentation, and preparing reports.

Requirements:

• Recent graduate in Human Resources, Business Administration, or a related field.
• Strong interest in talent acquisition and recruitment.
• Excellent verbal and written communication skills.
• Highly organized with strong attention to detail.
• Proficient in using Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with applicant tracking systems (ATS) is a plus.
• Ability to handle sensitive and confidential information with professionalism and integrity.
• Self-motivated and able to work independently as well as collaboratively in a team environment.
• Strong time management skills and ability to prioritize tasks effectively.
• Flexible and adaptable, with the ability to thrive in a fast-paced and changing work environment.
• A working device 

Company : Barcadly Services (www.barcadlyservices.com)

Job Title: Ads manager(SEM Executive) 

Overview:

As an Ads Manager, you will be responsible for planning, executing, and optimizing advertising campaigns across various channels to increase brand awareness, drive traffic, and generate leads and sales. You will work closely with the relevant departments to ensure that all advertising initiatives are aligned with the overall marketing strategy and goals.

Key Responsibilities:

• Develop and execute advertising campaigns across various channels, including Google Ads, Facebook Ads, LinkedIn Ads, and other social media platforms.

• Conduct research to identify target audiences and develop audience personas for ad targeting.

• Create and manage ad campaigns, including ad copy, ad creatives, and targeting options.

• Monitor and optimize ad performance to ensure maximum return on investment.

• Conduct A/B testing and other experiments to improve ad performance.

• Collaborate with the content team to develop ad creatives and landing pages that align with the overall marketing strategy.

• Provide regular reporting and analysis of ad performance to stakeholders.

• Stay up-to-date with industry trends and best practices to ensure that our ad strategies remain effective.

Requirements:

• Bachelor's degree in marketing, business, or a related field.

• Relevant experience in ad management.

• Strong understanding of various advertising channels, including Google Ads, Facebook Ads, LinkedIn Ads, and other social media platforms.

• Experience with ad targeting options, such as audience segmentation and retargeting.

• Familiarity with ad tracking and reporting tools, such as Google Analytics, Facebook Ads Manager, and LinkedIn Campaign Manager.

• Ability to work independently and manage multiple projects simultaneously.

• Strong analytical skills and attention to detail

Why join Us?

-Exciting projects

-collaborative work environment.

-oppournities for Career growth.

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

• Design and build advanced applications for the iOS platform
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work on bug fixing and improving application performance.

• BTech/MTech degree in Computer Science, Engineering, or a related subject.
• The candidate should have at least 1 Year of experience in iOS Development.
• Deep familiarity with Swift and Cocoa Touch
• Good knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Should have good communication skills.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning