Machine Learning (ML)
Data Science
Amazon Web Services (AWS)Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders
Shubham Vishwakarma
Full Stack Developer - Averlon
About ZeMoSo Technologies
About
We are a product-market-fit studio founded and maintained by successful corporate innovation. We bring products from napkins to product market fit, and our staff are some of the smartest and best engineers, designers and marketers around.
We provide end-to-end product design and development services for the most disruptive and innovative products around the world. We exponentially increase the odds of success for new products by applying lean methodologies and design thinking to the entire process: from napkin to product-market fit to scale. Zemoso Labs has been ranked as one of India’s fastest-growing companies by Deloitte, for two years in a row.
We bring the silicon valley style operating model to the startups around US and Europe.
Our startup customers have raised over $1.2 billion and created value ~$8billion after working with us.
We were featured as one of Deloitte Fastest 50 growing tech companies from India thrice (2016, 2018, and 2019). We were also featured in Deloitte Technology Fast 500 Asia Pacific both in 2016 and 2018. Our engineering studio has won O'Reilly's Architectural Katas event as well (Spring, 2022).
What does that mean for our people?
Our clients are building products that are changing the course of their industries. So, staying on the cutting-edge is non-negotiable and essential to our success. That means you will learn more here than anywhere else.
Company social profiles
Similar jobs
Key Responsibilities:
● Design, develop, and maintain high-performance, scalable, and secure backend systems using Java.
● Build and maintain RESTful APIs and microservices to support application functionality.
● Collaborate closely with frontend developers to ensure smooth integration with React/Angular-based frontend systems.
● Work with both relational databases (SQL) and NoSQL databases to design data schemas, optimize queries, and maintain data integrity.
● Leverage cloud platforms (AWS, Azure, Google Cloud) to deploy, monitor, and scale applications.
● Implement and maintain containerization using Docker and Kubernetes (K8S).
● Write unit tests for both backend and frontend code to ensure code quality and reliability.
● Participate in code reviews to maintain code quality standards and mentor junior developers.
● Contribute to a culture of continuous improvement, proposing and driving best practices in backend development, testing, and deployment.
Required Skills And Experience
● Bachelors or Masters in computer science or related fields.
● 5+ years of experience in backend development, with strong expertise in Java (must-have).
● Solid experience with frontend frameworks such as React or Angular.
● Hands-on experience with RESTful APIs, Docker, and NoSQL databases (such as MongoDB, Cassandra, etc.).
● Strong experience with SQL databases (such as MySQL, PostgreSQL, etc.), including database design, optimization, and query writing.
● Familiarity with cloud platforms (AWS, Azure, Google Cloud) and Kubernetes (K8S).
● Experience in writing unit tests and understanding of test-driven development (TDD) principles.
● Strong understanding of Agile/Scrum methodologies.
Nice to Have:
● Exposure to Automation Testing Frameworks (e.g., Selenium, Cypress).
● Experience working in a SaaS (Software as a Service) environment.
● Knowledge of Agile/Scrum methodologies.
As an Implementation Consultant, you’ll play a crucial role in helping customers successfully adopt Quickbase’s no-code/low-code platform. You’ll partner with Sales and Customer Success teams to lead technical and functional implementations for new and existing clients. Your goal is to demonstrate the platform’s capabilities, drive solution adoption, and enable long-term value.
Key Responsibilities
- Accelerate successful Quickbase adoption through structured engagements.
- Define success metrics and deliver measurable value.
- Coach and enable new Quickbase builders (end-users).
- Understand client business needs and propose optimal solutions.
- Deliver exceptional customer experience and become a trusted advisor.
- Drive implementation best practices across technical, security, and operational aspects.
- Contribute insights to product and engineering teams based on client feedback.
Must-Have Qualifications:
- 7+ years delivering technical solutions in services, engineering, or support roles.
- 3+ years experience designing and building with Quickbase (or similar low-code platforms).
- Strong curiosity about business processes and process optimization.
- 2+ years working with relational databases, SaaS tools, or enterprise integrations.
- Experience engaging with stakeholders across all levels, including C-suite.
- Excellent communication, presentation, and interpersonal skills.
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Business, or a related field.
- Exposure to ERP systems and enterprise software.
- Working knowledge of APIs and integration patterns.
Why Join Us
- Be part of Quickbase’s Center of Excellence (CoE) in India, launched in partnership with Aeries in 2023.
- Gain hands-on exposure to a powerful low-code platform used by 6,000+ global customers.
- Work in a dynamic, collaborative environment with a strong learning culture.
- Engage with cutting-edge tools in SaaS, automation, and workflow transformation.
- Enjoy a diverse and inclusive workplace, with Employee Resource Groups (ERGs) supporting community and culture.
Additional Information
- Travel: Some travel may be required.
- Work Culture: Hybrid team model, strong emphasis on collaboration and innovation.
- Client-Facing: This is a client-facing role, requiring strong communication and presentation skills.
About the Company
Our client is a leading manufacturer of TMT Bar and exporter in India. They are a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform. Merito, a curated talent platform is responsible to identify key resources for this project.
Job Location: Kolkata
Job Description
- Full stack e-commerce developer is responsible for writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performance applications
- Implementation of security and data protection
- Understanding of performance testing and optimization techniques
Requirements
- Fullstack developer should have the ability to translate Wireframes and PSD Designs into functional web apps.
- Binding of UI elements to JavaScript object models
- Creating RESTful services with Node.js
- Fullstack developer must have proven experience in front & back-end development
- Work in a cross-functional team to deliver a complete user experience
- Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
- Create Unit and Integration tests to ensure the quality of code
- Be responsive to change requests and feature requests
- Write code that is cross-platform and cross-device compatible
- Full developer must have the ability to wear many hats and learn new technologies quickly
- Understanding & proficiency in REST APIs.
- Fullstack developer should know Git Repository and Jira.
Key Responsibilities:
*Conduct door-to-door sales visits in your territory.
*Build strong relationships with potential clients, offering tailored solutions.
*Generate leads and surpass sales targets.
*Collaborate closely with the team to implement effective sales strategies.
Requirements:
*Proven B2B sales experience, especially in door-to-door sales.
*Strong communication and negotiation skills.
*Results-driven and self-motivated.
*Thrives in a fast-paced environment.
Data ScienceMachine Learning (ML)Responsibilities:
- Identify relevant data sources - a combination of data sources to make it useful.
- Build the automation of the collection processes.
- Pre-processing of structured and unstructured data.
- Handle large amounts of information to create the input to analytical Models.
- Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
- Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
- Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
- Participate in Problem solving sessions
Requirements:
- Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
- Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
- Strong math skills (e.g. statistics , algebra)
- Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
- Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
- Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com
Required Skills:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia
- Excellent communication (Written & Verbal), presentation skills with a positive attitude to engage with stakeholders
- At least 4 years of hands-oncoding experience in test automation, preferably VB script (must be presently working in automation project)
- At least 1 year of experience in Mobile automation (iOS and Android)
- Design, create and maintain Automated Test Scripts for the front end and back-end systems
- Enhance existing/create automation test frameworks
- Knowledge of pipeline execution
- Experience in Agile Scrum methodologies in sprint automation Test design and automation experience in web applications client-server applications mobile applications
- Knowledge of Jira, BDD Cucumber etc.
- Meeting with the development team to discuss user interface ideas and applications.
- Reviewing site requirements and interface designs.
- Identifying web-based user interactions.
- Developing and implementing highly responsive user interface components using react concepts.
- Should have ability to work independently and multi-task in a fast-paced environment.
- Troubleshooting site interface and debugging developed site codes.
- Developing and implementing front-end architecture to support user interface concepts.
- Monitoring and improving front-end performance.
- Documenting site changes and developing updates.
- Should be confident, self-motivated, who work well in team environments.
- Should meet provided deadlines.
Requirements
- Strong knowledge of Liquid
- Optimize websites to ensure they render consistently in cross-browser environments, with the best SEO principles, caching mechanics, etc.
- Should work on e-commerce projects with different Shopify JS APIs (storefront, AJAX Cart, Sections, etc).
- Shopify Expert must ensure a 100% responsiveness of web design.
- Experience with web/graphic design applications such as Figma, Adobe XD, Adobe Photoshop, Adobe Illustrator.
- Working in e-commerce projects while coordinating with other members.
- Act as a Shopify expert, specializing in all facets of the e-commerce platform.
- For Shopify developer job knowledge of HTML5, CSS3, Javascript/Jquery is a must.
- Shopify developer should have strong knowledge on Installing & Customizing the new Shopify theme.
- Shopify developer Expert-level knowledge of Shopify Liquid templating language.
- Exposure to application development & ruby scripting.
- Shopify Plug-in optimization, and customization, Strong knowledge of OOPs.
- Developer must have proven work experience on version control and source code management like GIT, Bitbucket.
* Brief knowledge of testing tools like JIRA, Scrum etc.
* Basic knowledge of PHP or worked on Wordpress/Laravel/CodeIgniter.
* Basic knowledge of any coding language too.
React.js
Redux/Flux
Bootstrap
jQuery
AngularJS (1.x)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon