Lead Generation Intern

Responsibilities and Duties:

- Minimum 2+ years of hands-on experience in React Native

- Ability to create and maintain continuous integration and delivery of React Native applications.

- Integrate third-party APIs

- Build pixel-perfect, buttery smooth UIs across both mobile platforms

- Experience with code optimization and performance improvements

- Ability to create and maintain continuous integration and delivery of React Native applications.

- Knowledge in creating and publishing APK file to both play store and app store is added advantage

- Efficiency to take ownership over the assigned project

- Excellent leadership quality and positive attitude to reach the business objective

- Effective performance with high quality (bug free) output and on time delivery to meet the deadlines.

- Experience in Mongo DB, MySQL, Node JS, AWS is a plus

- Knowledge of GIT

Company Name - Bhanzu formerly (Exploring Infinities).

Website - https://www.bhanzu.com/ 

Mode- WFO

Job Description:

Roles and Responsibilities:

● Willing to familiarize yourself with the company's vision and mission seeking to accomplish set goals and objectives

● Collating and maintaining client information in the CRM database

● Make calls to clients and respond to callback requests

● Email & WhatsApp conversations with potential leads

● Make potential leads understand our courses

● Convert potential leads into customers

● Learning & using our customer relations management software & others

● Related computer software

Requirements:

● Excellent written and verbal communication skills

● Ability to work under pressure

● Laptop is mandatory

● Willing to work in a startup environment (fast-paced)

● No. of days Working: 6 (Rotational off MON- FRI & Sat and Sun Compulsory working)

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.

SA Role Summary:

The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.

Key Responsibilities:

Solution Design and Architecture:

●      Develop and maintain a comprehensive understanding of the business processes and technology landscape.

●      Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.

●      Define and document architectural designs, including system components, functionalities, interfaces, and data flows.

●      Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency

●      Identifying reusable components in a project and working with the Backend team to generalize those components.

●      Amazon Web Services (AWS) Certification (Preferred)

Technical Leadership and Guidance:

●      Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.

●      Evaluate and recommend technologies and tools for the effective development and management of solutions.

●      Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.

Stakeholder Engagement and Communication:

●      Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.

●      Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

●      Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.

Project and Risk Management:

●      Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.

●      Identify potential technical and project risks and develop mitigation strategies.

Quality Assurance and Best Practices:

●      Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.

●      Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.

Continuous Learning and Improvement:

●      Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.

●      Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal opportunity employer. This means that 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.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

About Tredence

Tredence is a global analytics service and solutions company. This is one of the fastest-growing startup in Silicon valley. We have recently raised our Series A private equity. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. 

Responsibilities & Description of the role

Role requires working with cross-functional teams and involves following key responsibilities –

• Co-own the financial plan of the business unit along with the business head
• Revenue governance (including client interactions for deal closures and contracting; forecasting, revenue recognition)
• Margin governance (including cost take-out initiatives, systemic and sustainable cost control, rate hikes, cost analysis)
• Working capital governance (including unbilled reduction, timely invoicing and collection, improving debt ageing and PDD)
• Commercial Structuring and Deal pricing
• MIS for the business unit including sales performance tracking and other analytics
• People management - internal stakeholder management
• Critical attributes to success would be strong communication, cadence and resilience.
• “Can do” attitude and faster learning curve

Must have Skills

- CA/MBA Finance from Tier I college with 4-5 years of experience

- Proven working experience as a Business Finance Partner

- Experience with creating data models

- Experience with general ledger functions and the month-end/year end close process

- Excellent accounting software user and administration skills

- Working knowledge of Microsoft Office, BI tools, Oracle Netsuite

Why join Tredence?  

There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

Tredence 5 core values

• Think Impact
• Be Entrepreneurial
• Constantly curious
• Do the right thing
• Pursue Excellence

Navia Life Care is looking for a young, energetic, and passionate backend developer for a full-time role, and available to join immediately. 

They will be expected to fulfill the following responsibilities :

Backend developer responsibilities :

- Design and build system backend on Python, Django and PostgreSQL

- Experience with Machine Learning, Data Analytics will be a Plus

- Collaborate with cross-functional teams to define, design, and ship new features.

- Unit-testing code for robustness, including edge cases, usability, and general reliability.

- Help improve code quality through writing unit tests, automation and performing code reviews

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

- Handle software updates, patches, and bug fixes.

- Develop applications for time-sensitive projects while considering business/system requirements.

- Continually learn about new programming languages, operating system updates, and other information that will affect the functions of applications in development.

- Integrate with our front-end and mobile applications

- Participate in brainstorming sessions and have the chance to contribute innovative and original ideas to our technology, algorithms and product

Requirements :

- Minimum 1 to 5 years working experience in Python, DJango, and other related technologies

- Have published one or more Android apps on the Google Play store

- Experience with third-party libraries and APIs, WebRTC etc.

- Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

- Excellent ability to develop and understand algorithms.

- Opportunity to join a fast-growing and funded healthcare startup, and direct reporting to the Chief Technology Officer.

- We provide a flexible and innovation-driven work environment, with a 5-day working week, and competitive compensation packages.