SEO Executive

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.

Responsibilities

• Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements
• Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Who you are

You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
• Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
• Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
• Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
• Experience with common relational SQL, NoSQL and Graph databases.
• Strong experience with scripting languages: Python, PySpark, Scala, etc.
• Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
• Experience with big data tools (Spark, Kafka, etc) and stream processing.
• Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
• Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
• Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Unico Connect is a leading technology company specializing in mobile application development.

We are seeking a Mobile Developer Lead with experience in Flutter and native Android or native iOS development, who will lead a talented team of mobile developers. As a Mobile Developer Lead, you will play a pivotal role in shaping the future of our mobile applications, ensuring high-quality delivery, and fostering a culture of innovation.

Responsibilities

1. Technical Leadership: Lead a team of mobile developers working on Flutter apps, providing technical guidance, and mentoring junior developers. Set technical standards and best practices to ensure code quality and maintainability.

2. Development: Actively participate in mobile app development using Flutter, andoccasionally in native Android or iOS development as needed. Review and contribute to the codebase when necessary.

3. Team Management: Manage and guide the mobile development team, including task assignment, performance reviews, and fostering a collaborative and innovative work environment.

4. Process Improvement: Streamline development processes, implement Agile methodologies, and continuously seek ways to enhance efficiency and productivity.

5. Technology Evaluation & Adoption: Stay up-to-date with the latest mobile technologies such as FlutterFlow, tools, and trends. Evaluate and introduce new technologies that can enhance the mobile development process.

6. Quality Assurance: Ensure high-quality development and delivery, including code reviews, testing, and monitoring to meet or exceed customer expectations.

7. Documentation: Maintain detailed technical documentation and participate in code reviews to ensure code quality.

8. Collaboration: Collaborate with cross-functional teams, including designers and backend developers, to ensure the successful delivery of projects.

Qualifications:

● Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

● Proven experience (4-7 years) in mobile app development with native Android or iOS, and expertise in Flutter development.

● Strong leadership and team management skills, with a track record of leading and motivating development teams.

● Prior experience in either native Android (Java/Kotlin) or native iOS (Swift/Objective-C) development.

● Familiarity with mobile app architecture, design patterns and state management

● Excellent problem-solving and decision-making skills.

● Strong communication and interpersonal skills.

● Commitment to continuous learning and staying up-to-date with industry trends.

● Attention to detail and a commitment to delivering high-quality code.

● Ability to work in a fast-paced and collaborative environment.

● Knowledge of Firebase or other backend services.

● Understanding of version control systems, such as Git.

Nice to Have:

● Experience with state management libraries like Provider, Riverpod, or GetX.

● Implementation of features such as in-app purchases, video streaming, realtime chat, location services, geo-fencing and custom camera.

● Familiarity with continuous integration and continuous deployment (CI/CD) processes.

Skills

● Leadership

● Architecture

● Cross-platform

● Team Handling

● Innovation

Hardly are we searching for professionals with experience in the travel and tourism industry alone.

Responsibilities:

• Respond promptly and professionally to client inquiries via phone, email, or live chat.
• Handle a high volume of incoming emails and prioritize them based on urgency and importance.
• Provide accurate and timely information to clients, resolving their issues and addressing their concerns effectively.
• Demonstrate leadership qualities by assisting junior team members, providing guidance, and fostering a positive work environment.
• Manage backend processes related to customer support, ensuring smooth operations and timely resolution of issues.
• Collaborate with other departments, such as Sales and services Development, to address client needs and improve overall customer satisfaction.
• Proactively identify opportunities for process improvement and implement solutions to enhance the efficiency of the support team.
• Maintain a high level of activity and engagement, ensuring that all client inquiries are handled promptly and efficiently.

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMDF0120PS

1. Primary skill:

• C#, JavaScript, CSS, JQuery /Angular 2 +(Angular version 2 or higher), Typescript
• Microsoft .Net (ASP.NET & ASP .NET CORE)
• MVC and WebAPI
• MS SQL

1. Secondary skill:

Strong background in Microsoft Technologies and SDLC concepts. Should have experience in below technologies

MS SQL Server management Studio (SSMS) to develop database objects such as Stored Procedures, Functions, views, triggers, constraints etc. and look for performance tuning and Exception handling for these components

 (Good to have)

Good to have: Understanding of MS Excel VBA /MS-access/ macro codes

4.Years of Experience: 5-8 Years

1. Location:(Remote)
2. Position-1
3. Budget- Max 25 LPA
4. NP- Immediate