Head of Engineering

About 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 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.

Job Description 

At TensorIoT India team, we look forward to bringing on board 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.

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. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

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.

Branch Overview

Branch delivers world-class financial services to the mobile generation. With offices in San Francisco, Lagos, Mumbai, Nairobi, and Tanzania, Branch is a for-profit, socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone, everywhere, deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility. 

The founder and former CEO of Kiva.org leads the Branch’s mission-driven team. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. Most recently, Branch announced our Series C and has garnered more than $100M in funding with investments from leading Silicon Valley firms.

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive. 

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and Data Scientists to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Here are some things you’ll do

• Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
• Customer Service: Using machine learning and NLP, automate customer service interactions and provide context to our customer service team.
• Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
• Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.

Minimum Requirements

We’re looking for a motivated and versatile engineer who understands the needs of a startup.

• 8+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
• Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap.
• Excellent software engineering and programming skills, especially Python and SQL.
• A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
• A deep understanding of using cloud computing infrastructure and data pipelines in production.
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
• Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
• The drive to make a positive impact on customers' lives.

Benefits of Joining

• Mission-driven, fast-paced and entrepreneurial environment
• Competitive salary and equity package
• A collaborative and flat company culture
• Remote first, with the option to work in-person occasionally
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off including personal leave, bereavement leave, sick leave
• Fully paid parental leave - 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one time home office set-up budget
• $500 Annual professional development budget 
• Discretionary trips to our offices across the globe, with global travel medical insurance 
• Team meals and social events- Virtual and In-person

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We’re looking for more than just qualifications -- so if you’re unsure that you meet the criteria, please do not hesitate to apply!

About HighLevel 

HighLevel is an all-in-one, white-label marketing platform for agencies & consultants. Our goal as a business is to create a sustainable, powerful, “all things marketing” operating system that creates limitless opportunities for our customers. With over 20,000 customers, we need people like YOU to help us grow and scale even further in the coming years. We currently have 600+ employees worldwide, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and, above all, encourage a healthy work-life balance for our employees wherever they call home.

Our Website - https://www.gohighlevel.com/ 

YouTube Channel- https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g

Role & Responsibilities 

Looking for a senior AI engineer for the platform team. The ideal candidate will be responsible to derive key insights from huge sets of data, build models around those, and take them to production.

• Implementation - 
• Analyze data to gain new insights, develop custom data models and algorithms to apply to distributed data sets at scale
• Build continuous integration, test-driven development, and production deployment frameworks
• Architecture - Design the architecture with the Data and DevOps engineers
• Ownership - Take ownership of the accuracy of the models and coordinate with the stakeholders to keep moving forward
• Releases - Take ownership of the releases and pre-plan according to the needs
• Quality - Maintain high standards of code quality through regular design and code reviews.

Qualifications

• Extensive hands-on experience in Python/R is a must.
• Proficiency in ML/DL frameworks and tools (e. g. Pandas, Numpy, Scikit-learn, Pytorch, Lightning, Huggingface)
• Strong command in low-level operations involved in building architectures for Ensemble Models, NLP, CV (eg. XGB, Transformers, CNNs, Diffusion Models)
• Experience with end-to-end system design; data analysis, distributed training, model optimisation, evaluation systems, for large-scale training & prediction.
• Experience working with huge datasets (ideally in TeraBytes) would be a plus.
• Experience with frameworks like Apache Spark (using MLlib or PySpark), Dask etc.
• Practical experience in API development (e. g., Flask, FastAPI).
• Experience with MLOps principles (scalable development & deployment of complex data science workflows) and associated tools, e. g. MLflow, Kubeflow, ONNX
• Bachelor's degree or equivalent experience in Engineering or a related field of study
• 3+ years of AI engineering experience
• Strong people, communication, and problem-solving skills

What to Expect when you Apply 

• Exploratory Call 
• Technical Round I/II
• Assignment 
• Cultural Fitment Round 

Perks and Benefits

• Impact - Work with scale, our infrastructure handles around 5 Billion+ API hits, 2 Billion+ message events, and more than 40 TeraBytes of data
• Compensation - Best in Industry
• Learning - Work with a team of A-players distributed across 15 countries who move fast (we have built one of the widest products on the market in under 3 years)
• Generous Device Policy - You get a Macbook Pro
• Unlimited Leave Policy
• 1 team offsite every year
• Remote first culture

EEO Statement: At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with dis abilities to perform the essential functions.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

Skills:

• 6+ years of experience in AI/ML engineering.
• Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Expertise in Generative AI techniques.
• Familiarity with cloud platforms such as Azure and AWS.
• Strong background in statistical modelling and content customization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

We are looking for an ambitious Co-founder and CTO to join and support our growth at Spacenos. The Person we are looking for will fill an entrepreneurial C-Level role and will enrich our team with the product development and delivery skills.

Skills Required

• 3+ years of experience as a technology leader. 
• Skilled in Java, ReactJs, Firebase, Google Cloud.
• Applied knowledge of Cloud Security, AWS, Machine Learning, AI and Tensorflow.
• Strong communication and team management skills. 
• Excellent resource handling and understanding of scaling principles. 

Roles and Responsibilities

• Develop and understand technological roadmap
• Develop feature rollout systems and processes
• Hire and manage outside/contracted engineering talent
• Structure and lead teams, individuals, and cross-functional relationships in a way that ensures productivity and communication.
• Collaborate with other teams to optimize user experience of products.
• Drive modern engineering principles and practices by implementing relevant techniques, processes, and best practices
• Clearly articulate plans and projects to both senior level executives and more junior team members.

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.

3. Receive offer letter if selected.

Our hiring process takes less than 24 hours from the time you receive the Final Step form.

Validity: Up to Dec 2023

- Apply soon, the earliest applicant would be preferred over the late applicants.

Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.

Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.

At Amagi, our Billing Platform is key to our continued growth. The success of our products is dependent on the success of our billing platform and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.

We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.

Role reporting into: Engineering Director - Enterprise Platforms

Individuals reporting into this role: Senior Architect, Staff Software Engineer, Software Tech Lead, Senior Software Engineer

Location: Bangalore, India

Key responsibilities include (but are not limited to):

• Lead the core Engineering activities in an Agile model
• Participate in the overall design and development discussions
• Work closely with the Product Management team to establish product and engineering roadmaps.
• Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
• Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
• Lead the billing, account receivables and account payables automation and workflows implementation.

Person Specification:

• 10+ years of overall SDLC experience with 6+ years of experience managing cloud application/platform engineering teams.
• Hands-on with at least of one cloud of the platforms, AWS or GCP
• Experience developing the usage/subscription based billing for SaaS products.
• Exposure to design and development of microservices optimized for scalability and speed
• Experience developing the horizontally scalable distributed systems, streaming data pipelines
• Hands-on experience of implementation of highly available, low latency and robust cloud services.
• Experience with both SQL and NoSQL technologies
• Knowledge of finance processes
• Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
• Salesforce sales and revenue cloud knowledge
• NetSuite, Salesforce, Freshdesk integration experience
• Working experience with any of the enterprise cloud platforms or applications.

We are looking for a coding Engineering Manager based in Chennai. This is a new role within the growing Engineering function, where you will be responsible for leading a team of talented professionals, assisting them to deliver complex technical solutions across a range of teams. The successful candidate will be comfortable directing, planning and coordinating the team, as well as developing overall concepts for new and existing products and processes. Reporting into the Head of Engineering for our Chennai team, this role is integral to the successful growth of the team as well as wider company performance. 

What You’ll Be Doing:

Play the role of a servant leader in helping the team to excel in the areas of ownership and help to continuously raise the bar on performance.

Perform your responsibilities through delegation, empowerment and influence aimed at delivering long term outcomes for the team and business.

Build, manage and grow one or more engineering team(s), foster Agile practices and continuous improvement, enable engineers to build, test, deliver and operate high-level software products across the company

A hands-on technical approach to management, leveraging your software engineering experience to assist product needs and build

Work with our Product, DevOps, and Data Science functions on articulating roadmaps & ensure a high quality and timely implementation to support our mission and help eliminate identity fraud

Join a mission-orientated company, solving real-world fraud and identity based challenges

Facilitate career growth and success for all team members.

What You’ll Bring:

6+ years of demonstrated deep technical design and programming skills (in individual capacity) designing and delivering enterprise grade distributed systems in the following tooling; Web applications (Java/PHP/.NET/Python) or Mobile applications (SDK, Android/iOS)

2+ years prior experience managing one or more Agile engineering team(s); contributing to a track record of building complex and technical products, ideally within a start-up or fast scaling environment

Track record of having managed performance cycles of engineers of varying experience levels directly reporting to you.

Experience with building software with Agility and in conformity to security standards.

Willingness to “roll-up your sleeves and get your hands dirty” when required

Experience delivering and operating complex software solutions - understanding the end-to-end needs of what is involved within this process.