Python
Machine Learning (ML)The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments.
Key Responsibilities:
- Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains.
- Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology.
- Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications.
- MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability.
- Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency.
- Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.’s product ecosystem.
- Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company.
Qualifications:
- Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute.
- Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience.
- Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques.
- Experience with MLOps practices and deploying machine learning models in production environments.
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience in pet wellness or related industries.
- Familiarity with IoT device data processing and analysis.
- Knowledge of cloud computing platforms and services for ML deployment.
Subodh Popalwar
Software Engineer, Memorres
About Hoomanely
Hoomanly is a startup founded in 2023 by Harshal Hinger and Sai Supriya Sharath. The company is on a mission to disrupt preventive healthcare to increase pet longevity. Hoomanly's primary product is "Ever," an intelligent device ecosystem for pets that combines DeepTech and veterinary research. This innovative system is designed to seamlessly integrate into a pet's natural habitat, continuously working to optimize the animal's welfare.
Based in Bengaluru, Karnataka, India, Hoomanly operates in the intersection of pet care and technology industries. The company emphasizes sustainability, care, cleanliness, and consciousness in its approach to pet health. While still in its early stages, Hoomanly aims to leverage advanced technologies such as artificial intelligence and IoT to improve the lives of pets and strengthen the bond between pets and their owners.
NodeJS (Node.js)Python
Go Programming (Golang)Hoomanly develops an intelligent device ecosystem called "Ever" that combines DeepTech and veterinary research to enhance pet longevity. The company aims to disrupt preventive healthcare for pets by creating smart devices that seamlessly integrate into a pet's environment, continuously monitoring and optimizing their welfare.
Similar jobs
Machine Learning (ML)We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.
Key Responsibilities:
- Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
- Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
- Evaluate the system performance under various operating conditions, data variety, and scenarios.
- Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
- Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
- Report and track defects, providing detailed information to facilitate problem resolution.
- Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
- Provide detailed reports and documentation on system performance, issues, and validation results.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
- Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
- Proficient in scripting and programming languages such as Python, shell scripts etc.
- Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills, with the ability to document and explain complex technical concepts clearly.
- Ability to work in a fast-paced, collaborative environment.
Preferred Skills & Qualifications:
- A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
- Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of Data Analysis and Visualization tools and techniques.
Machine Learning (ML)
Deep LearningLifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.
Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day
Essential experience and requirements:
1. Advanced knowledge in the domains of computer vision, deep learning
2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design
3. Experienced with proper project workflow
4. Good at collating multiple datasets (potentially from different sources)
5. Good understanding of setting up production level data pipelines
6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)
7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation
8. Fundamental understanding of model and system explainability
9. Proactive at constantly unlearning and relearning
10. Documentation ninja - can understand others documentation as well as create good documentation
Responsibilities :
1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain
2. Maintain deployed systems and upgrade them through online learning
3. Develop and deploy advanced online data pipelines
JavaNodeJS (Node.js)Python
Android Development
iOS App DevelopmentWhat would I be doing?
- Actively work with Product Managers to scope out and plan projects
- Be actively involved in hiring and growing our engineering team
- Plan and organize sprints with a highly ambitious group of engineers
- Actively work with engineers helping them break roadblocks throughout the sprints
- Involved in building and reviewing Project Architecture
- Actively review Code, Product and API Specifications
- Develop engineers on the team and help them advance in their careers
- Care about agility as much you care about scalability and availability
- Build and help us evolve our culture
- Teams at Our Company is expected to be comfortable working across the stack, delivering new features and products from start to finish
- Most products are Ruby on Rails applications with ReactJS frontends. We have PostgreSQL for most of our storage, and everything is hosted on AWS
- Clear and influential in both, writing and person
- Being a role model for the team
- Bringing-in the experience of building and scaling system to 100x
- Programming expert - help team resolve programming related issues as quickly as possible and introduce the team to better ways of building products.
- Opportunity to work with "India’s leading B2B" E-commerce venture. The company grew its revenue by more than 5.5x last year to reach to a 350 Cr annual revenue run rate scale. We invite you to be part of the upcoming growth story of B2B sector through Us.
- Opportunity to work with most dynamic individuals in Asia recognized under Forbes 30 Under 30 and industry stalwarts from across companies like Microsoft, Paypal, Gravitas, Parksons, ITC, Snapdeal, Fedex, Deloitte and HUL
- Our Company is featured in LinkedIn Top Startups 2019: The 25 hottest Indian companies to work for!
- Working here translates into being a part of a dynamic start-up with some of the most enthusiastic, hardworking and intelligent people in a fast paced and electrifying environment
- Our company has been awarded as the most Disruptive Procurement Startup of the year - 2017
- Being a company that is expanding itself every day and working towards exploring newer avenues in the market, every employee grows with the company
- The position provides a chance to build on existing talents, learn new skills and gain valuable experience in the field of Ecommerce
Machine Learning (ML)Deep LearningPythonJob Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
JavaNodeJS (Node.js)PythonAndroid DevelopmentWe are looking for a talented product engineer to facilitate the design and manufacturing of our next line of exciting products. As a product engineer, you will be working closely with the design team to create industry-relevant products that meet company specifications. You will also be required to design and oversee the product manufacturing process to ensure that our products meet state safety requirements.
To ensure success as a product engineer, you should have excellent analytical and design skills, good working knowledge of design software, and advanced troubleshooting skills. A top-notch product engineer should be able to transform ideas into high-end products that perfectly meet the needs of our customers.
Product Engineer Responsibilities:
- Meeting with the development team to discuss product ideas.
- Analyzing market and industry product trends.
- Determining product feasibility costs and return on investments.
- Developing design ideas based on customer interests, budgets, and market research.
- Creating rough product designs using sketches and computer software.
- Conducting theoretical testing on design models.
- Creating full product designs and specifications using computer software modeling techniques.
- Selecting product materials and designing the product manufacturing process.
- Overseeing production and ensuring that products conform to market specifications and safety regulations.
Product Engineer Requirements:
- Bachelor’s degree in mechanical engineering or a similar field.
- Previous experience working as a product engineer.
- Advanced analytical and design skills.
- Excellent written and verbal communication skills.
- Knowledge of industry and market trends.
- Ability to visualize theoretical models and design ideas.
- Good project management skills.
- A keen eye for detail.
JavaNodeJS (Node.js)PythonAndroid DevelopmentiOS App DevelopmentFunction: Software Engineering → Backend Development
Data Structures
Microservices
AWS
Algorithms
Java
Responsibilities:
Own and drive the development of new products and features @ Jodo.
Lead design and development of the Jodo backend platform.
Write reusable code/modules while optimizing for speed of delivery.
Identify opportunities for automation.
Make cloud (AWS) infrastructure/services scalable and secure.
Mentor junior developers to improve their speed and quality of code.
Core team member - work closely with founders and head of engineering in building high-quality products Traits of the Ideal Candidate.
High sense of ownership - Personally own the targets, and feel that the buck always stops with you.
Quality of work output - Optimize the speed of delivery and scalability of products built.
Good communication - Ability to clearly communicate with internal stakeholders.
Hungry to learn and grow - Passion to learn & be a better version of oneself; motivated to succeed Background.
Requirements:
8+ years of proven experience as a Backend/Full Stack developer in a fast-paced environment.
Proficient in building Microservices/RESTful APIs with any modern tech stack.
Working knowledge of relational and non-relational databases.
Ability to analyze and convert business requirements into technical requirements.
Track record of outperformance in previous workplaces.
CITRIOT – Job Description for Tech Lead
Responsibilities:
- Determining project requirements and developing work schedules for the team that will be working in a hybrid environment (remote-in person).
- Delegating tasks and achieving daily, weekly, and monthly goals.
- Liaising with team members and managing time effectively to ensure projects are completed to standard in a time-constrained environment of our startup Citriot.
- Identifying risks and forming contingency plans as soon as possible. Be able to update work schedules and performing troubleshooting as required. Example: coming up with an alternative hardware platform or a software tech stack very quickly if one fails or is unable to deliver results, and ensuring that the team is capable of delivering the results.
- Analyzing existing operations and being a mentor towards the interns. Being empathetic towards the employees and resonating well with their level of knowledge and skills; while at the same time encouraging them to achieve more.
- Keeping up-to-date with industry trends and developments (very important).
- Being transparent with the team about challenges, failures, and successes.
- Writing progress reports and delivering presentations to the relevant stakeholders (not required very often, but an important responsibility).
Qualifications:
- Bachelor’s degree in computer science, engineering, or a related field (preferably CS or ECE). The candidate we’re looking for should have a research mindset and can complete projects in strict “startup-friendly” deadlines.
- Experience with Scrum/agile development methodologies.
- 2-5 years experience as a software engineer, firmware engineer or a hardware engineer in lead positions who is familiar with the following software/tools:
- Experience & expertise in one or more programming languages: Python, JavaScript and C++
- Experience programming microcontrollers in Embedded C or MicroPython
- Experience with two or more of the following prototyping environments: Arduino (boards and IDE), Raspberry Pi (headless setup, GPIO programming), Nvidia Jetson/TX1/TX2 boards with setup
- Strong conceptual knowledge on networking topologies, communication technologies and interfacing protocols (SPI, I2C, CAN, etc.)
- Have worked on a PCB design project at least once in their career/university
- Have experience programming embedded boards from either Microchip or STM32 (let us know if you have experience with any others as well)
- Experience in a similar role would be advantageous.
- Excellent technical, diagnostic, and troubleshooting skills.
- Strong leadership and organizational abilities.
- Willingness to build professional relationships with staff and clients.
- Excellent communication, motivational, and interpersonal skills.
If you are interested in the role, we request you to kindly attach a pdf/word file along with your resume(and/or cover letter) mentioning how well you would fit in our company based on the above points.
JavaPython- Strong CS fundamentals in OOD, DS, Algorithms and Problem Solving for a wide variety of problem spaces and technologies
- Expert coder in any modern language such as Java, Golang or Scala.
- Experience in working with Product and Engineering leaders to drive and implement platform and product vision.
- Ability to leverage deep and wide knowledge of technology stack to recommend appropriate architecture and design solutions, and provide technical leadership to a team of rock star Software Engineers.
- Can translate the impact of design choices on non-functional attributes like scalability, performance, availability and security.
- Experience in providing leadership, career guidance, performance management, prioritization and personnel management for minimum team size of 10.
- Experience creating large-scale, multi-tiered, distributed web applications with databases, and designing web services, APIs, data models and schemas, using SQL or NoSQL.
- Experience with Cloud environments, such as AWS.
- Comfortable in Windows and Linux environments.
- Comfortable with different data storage solutions such as Postgres, Oracle, SQL Server, ElasticSearch, SQL, Hadoop, or MongoDB.
- Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Hudson, Sonar, PMD, Checkstyle, Findbugs, and Fortify etc.)
- Worked in Agile environments previously.
- Good command of development metrics, methodologies and tools.
- Will ensure timely and frequent delivery of high quality software, while adapting technical decisions to the immediate needs of the business.
- Good analytical, problem-solving and troubleshooting skills.
- Can drive adoption of best practices across the Software Engineering Lifecycle, including reviews, source control, build processes, continuous integration and deployment.
JavaNodeJS (Node.js)PythonAndroid DevelopmentResponsibilities:
-
Acting as an entrepreneur - taking ownership the problem statement end-to-end.
-
Delivering direct value to the customer - and not just stop with internal delivery.
-
Lead a diverse team of High performing Engineers - who set new standards everyday.
-
Be a great engineer yourself - to be able to hire, mentor, and grow the engineering team.
-
Estimate, plan, divide and conquer customer problem statements - through sturdily developed & performant technical solutions.
-
Handle multiple competing priorities and ambiguity - all in a fast-paced, high growth environment.
Requirements:
-
7+ years of experience as an engineer or a lead - solving real world customer problems.
-
1-4 years of experience as a manager - having led high value delivering engineering teams.
-
BE / B. Tech /M. Tech from a premier institute - preferably in Computer Science.
-
Proven track record of building and managing high performing engineering teams.
-
The ability to convince, negotiate and work with equally competent and smart stakeholders.
-
Experience building complex technical solutions - highly scalable service-oriented architectures, distributed cloud-based systems - which power our FinTech products.
-
Proven ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
- Build and Lead multiple teams of notch engineers to own, drive & deliver critical parts of our products.
- Work closely with Engineering Managers to develop the best technical design and approach for new product development.
- Set up the organization & processes to enable timely delivery of projects with high quality.
- Set up best practices for development and champion their adoption.
- Oversee Architecture & design of technically robust, flexible and scalable solutions.
improvement.
- Show strong business and technical judgment that will accelerate time to market of releases, while incrementally moving our services towards the long-term vision.
- Be responsible for mentoring and developing front line managers and engineers.
Requirement:
- Bachelor Degree or higher in Computer Science or related field from Premium Institutes
- 5+ years of work experience in software development and 1-2 years as a leadership role.
- Deep Understanding of enterprise grade technologies.
- Experience in Node.Js, Java, Python tech stack.
- Knowledge of Object-Oriented Design, data structures, algorithm design, and complexity analysis.
-
- Strong analytic and quantitative skills; ability to use hard data and metrics to back up assumptions, recommendations, and drive actions.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres