Generative AI - Solutions Architect / Engineer

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

∙

Good experience in 5+ SQL and NoSQL database development and optimization. 

∙Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. 

∙In-depth understanding of data warehousing principles and performance tuning techniques. 

∙Strong hands-on experience in building complex aggregation pipelines in NoSQL databases such as MongoDB. 

∙Proficient in Python or Scala for data processing and automation. 

∙3+ years of experience working with AWS-managed database services. 

∙3+ years of experience with Power BI or similar BI/reporting platforms. 

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

BD Software Distribution Pvt. Ltd. is a leading Value Added Distributor (VAD) in the Indian market, offering industry-leading consumer, SMB, and Enterprise-level solutions. We are the Country Partner for top brands in the cybersecurity industry, including Bitdefender. With a strong partner network and technical expertise, we provide comprehensive protection against malware and cyber threats to government organizations, businesses, and consumers. With over 750,000 users in India, we are committed to helping achieve cyber peace.

Job Overview

We are seeking a Renewal Specialist to join our team at BD Software Distribution Pvt. Ltd. This role involves managing the renewal process for our software solutions and ensuring customer satisfaction. The ideal candidate should have 1 to 3 years of experience in a similar role, strong communication skills, and a customer-centric approach. This is a full-time position based in Navi Mumbai, Maharashtra, India.

Qualifications and Skills

1 to 3 years of experience in a Renewal Specialist or similar role

Strong understanding of software solutions and the renewal process

Excellent communication and interpersonal skills

Customer-centric approach with a focus on delivering high-quality service

Ability to build and maintain relationships with customers

Strong problem-solving and negotiation skills

Ability to work collaboratively in a cross-functional team environment

Proficiency in CRM software and MS Office

Attention to detail and strong organizational skills

Roles and Responsibilities

Manage the renewal process for software solutions, ensuring timely renewals and customer satisfaction

Develop and maintain strong relationships with customers, understanding their needs and addressing any inquiries or issues

Provide product knowledge and recommendations to customers, ensuring they are maximizing the value of our solutions

Collaborate with internal teams, including Sales and Support, to achieve renewal targets and resolve customer concerns

Track and monitor customer accounts, identifying opportunities for upselling and cross-selling

Prepare and present reports on renewal activities, highlighting trends, challenges, and opportunities

Stay up-to-date with industry trends and competitive landscape to contribute to product enhancements and market positioning

Maintain accurate and updated customer information in the CRM system

Technical Experience :

- Net development work experience

- Proficiency in NET Development with Net Core. 

- Strong object-oriented programming OOPS design skills, SOLID principles and proficiency in software design patterns

- Experience in database  MS SQL Server, No SQL

- Solid understanding of  Microservices

- Good understanding Azure, Docker and Kubernetes 

- Experience with version control systems GitHub and Bitbucket

NodeJS Developer:

We at Fabzen Technologies are looking for a knowledgeable and experienced individual to fulfil the role of Node.js developer.

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering or related field.
• Professional experience on a software development team as a Node.js developer.
• Strong software documentation skills.
• Ability to comprehend and implement detailed project specifications as well as the ability to adapt to various technologies.
• Strong problem-solving skills.
• Understanding of Software Development Life Cycle.
• High attention to detail.
• Excellent troubleshooting and communication skills.
• Able to work well in a team setting.

The candidate must be proficient at:

• Socket programming
• Async await and promises
• Databases such as mongo, MySQL
• Passport JS for Google and Facebook integration
• Working on APIs with authentication and authorization

Responsibilities:

• Work closely with the development team to deliver code as required for the applications and their updates.
• Ensure the design and development of the application fulfil our requirements and achieve desired objectives.
• Ensure company standards are followed; Project schedules and issues are effectively managed, and the same is effectively communicated.
• Ensure documentation, knowledge sharing, and training in new software.
• Create technical specifications and test plans.
• Monitor the functioning of the application and provide suggestions and support to maintain the same.

Experience in a game development company or in developing gaming applications would be an added advantage.

What you need to have:

To get transparent and quick status update, apply on: https://rb.gy/lealon

What you need to have:

Dear Candidate,

We have an urgent requirement of Android Developer for Noida Location.

Joining: Immediate/15 days

Exp: 1-2 years

Location: Noida, Sector-132

Responsibilities and Duties

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Qualifications: B.tech/M.tech/BE/BCA/MCA

Skills Required:

• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.
• Hybrid