ML Engineer

·  4 – 5 years of experience in Front end development

·  2 years of experience using React and Redux

·  3 years of experience in using HTML, CSS

·  1 year of experience in any of the Headless CMS such as Ghost or Strapi or Cockpit.

·  2+ years using JavaScript consuming, displaying and updating data using Web APIs (JSON).

·  2+ years of experience using Material UI and JSS.

About the Role:

We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

We are looking for a skilled and experienced Salesforce bidder to join our team and help us secure high-value projects on Upwork. If you have a strong understanding of Salesforce services, excellent proposal writing skills, and a track record of winning bids, we want to hear from you!

Responsibilities:

• Identify and bid on relevant Salesforce projects on Upwork.
• Craft compelling, customized proposals that highlight our expertise.
• Communicate effectively with potential clients to understand their needs.
• Follow up on bids to maximize conversion rates.
• Collaborate with our technical team to ensure project success.

Requirements:

• Proven experience in bidding and winning Salesforce projects on Upwork.
• Strong knowledge of Salesforce services, including implementation, customization, and integration.
• Excellent written and verbal communication skills.
• Ability to analyze client requirements and tailor proposals accordingly.
• Consistency in achieving high response and conversion rates.

Why Join Us?

• Competitive compensation with performance-based bonuses.
• Opportunity to work with a talented Salesforce development team.
• Long-term collaboration for the right candidate.

If you have the expertise and drive to help us grow our Salesforce business on Upwork, apply now!

Executive - Backend CRM / Spares / AMC

OFFICE LOCATION - Nerkundram, Chennai - 600107

A graduate (Male / Female)

• To Increase the business

• To Achieve AMC & Conversion Target

• To Participate in enquiries For AMC

• To Ensure AMC & Spares Sales Payment are Collected Timely

• Handling high-users

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

Job Title: Performance Engineer

Experience: 6+ years

Primary Skill: Jmeter, Neoload

Location: Hyderabad

Fulfilment Type: Fulltime

• Identify future performance needs and architectural changes based on platform scale;
• Bring your passion to contribute to an exceptional customer experience regarding the performance and scalability of our platform;
• Develop a framework to run PSR tests and measure stats for them;
• Continuously tune Infrastructure and platform performance;
• Provide capacity planning for platform services and influence product architecture for higher resiliency and lower cost of ownership;
• Operate internal testing infrastructure and raise potential defects to development teams;
• Establish best practices and standards for performant platform development;
• Create and maintain reports that describe performance issues and possible root causes;
• Work with various development teams to ensure SLA of their core APIs are tracked and maintained release over release;
• Collaborate with developers, architects, Product Management, Operations and other cross functional teams to successfully achieve teams’ objectives;
• Build and enhance infrastructure and framework and provide actionable metrics to help understand performance issues and address them proactively;
• Evaluate system performance and recommend improvements;
• Provide technical assistance to improve system performance, capacity, reliability and scalability;
• Perform load tests to validate system and solution performance and stability.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.