AI/ML Developer

• A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

• Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
• Mentor and coach other team members
• Evaluate the performance of NLP models and ideate on how they can be improved
• Support internal and external NLP-facing APIs
• Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

• Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

• Proven ability to multi-task and deliver results within tight time frames
• Must have strong verbal and written communication skills
• Strong listening skills and eagerness to learn
• Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

• NLP
• Deep Learning
• Machine Learning
• Python
• Bert

Preferred Requirements

• Experience in Computer Vision is preferred

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

• You're proficient in AI/Machine learning latest technologies  
• You're proficient in GPT-3 based algorithms 
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

ApnaComplex is one of India’s largest and fastest-growing PropTech disruptors within the Society & Apartment Management business.  The SaaS based B2C platform is headquartered out of India’s tech start-up hub, Bangalore, with branches in 6 other cities. It currently empowers 3,600 Societies, managing over 6 Lakh Households in over 80 Indian cities to effortless manage all aspects of running large complexes seamlessly.

If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ApnaComplex is the place for you.

The primary responsibility of this role is to handle technical requests filed by the end users of the product, handle troubleshooting and resolve errors.

Key job responsibilities

• Troubleshoot Issues
• When technical issues with the product arise, production support engineers must act quickly to analyze the available data and find the root cause of the problem. They may then develop a solution themselves or pass the problem on to other engineering team members, all the while providing users with progress updates.
• Contribute to Product Development
• Production support engineers participate in all stages of the product development process, including designing, building, and testing. They also create useful tools such as internal software to automate key processes or platforms where customers can send inquiries and reviews.
• Assist Users
• This role entails interacting with product users, often external customers but sometimes also employees. These interactions can occur in various setups, including in-person meetings, phone calls, emails, and live messaging chats. In all of these cases, it’s vital to address concerns promptly and maintain a helpful attitude.
• Prepare Technical Documentation
• Production support engineers prepare extensive documentation when logging product issues, as they must note all details, including their observations, diagnoses, and action steps. Other common tasks include weekly reports summarizing production performance, release notes for upgrades, and troubleshooting guides.
• Suggest Improvements
• Because production support engineers deal with product issues first-hand, they can readily suggest overall product improvements, such as features that customers want. Ideally, they should also proactively evaluate engineering processes and provide recommendations to increase efficiency

Basic Skills & Qualifications

• 1-5 years of relevant experience.
• Should be familiar with Database tools (such as excel or MySQL)
• Should be familiar with Industry-specific tools (such as programming languages)
• Should be familiar with Customer support software (such as Zoho Desk, Zendesk, or LiveAgent)

Skills that will help you build a success story with us

• Problem Solving skills.
• Technical expertise
• Customer Service
• Attention to detail
• Multitasking

Locations: Bangalore 

Quick Glances:

• https://www.apnacomplex.com/why-apnacomplex">What to look for at ApnaComplex
• https://www.linkedin.com/company/1070467/admin/">Who are we A glimpse of ApnaComplex, know us better
• https://www.apnacomplex.com/media-buzz">ApnaComplex - Media – Visit our media page  

ANAROCK Ethos - Values Over Value:

Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.

We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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.

Role 1 : Core Java

Experience  - 5 – 10 years

Location – Mumbai ( NKP) / Weworks

Primary Skills / Must have:

• Knows Java Programming Language (Java 7, 8) with Object-Oriented Design and Spring Framework. Understanding of RESTFul Services development.
• Has a good understanding of asynchronous requests, multithreading and related issues and ways to resolve them.
• Has a good understanding of web and web programming principles, cookies, sessions etc.
• Familiar with tomcat, servlet model and their limitations.
• Has a good understanding of basic algorithms and data structures.
• Good analytical skills, problem-solving skills and willingness to learn.
• Good communication and collaboration skills. Willing to ask questions.
• Team player.

 Secondary Skills / Desired skills

• Modern web development tools including JavaScript frameworks such as Angular JS and CSS frameworks such as Bootstrap.
• Familiarity with Git and Linux/Unix commands.

Role 2 – JAVA + Linux + SQL Server combination of skills - Bangalore

Experience  – 4 – 9 years

Location – Bangalore  ( RMZ Ecoworld)

Required Technical Skills:

• Strong Java experience.
• Experienced in Agile development lifecycle.
• Hands-on experience with Programming language: Python, and SQL
• Experience in database platforms : DB2/Sybase/MSSQL server.
• Working knowledge of Linux/Unix.
• Working knowledge of Java spring framework,Angular 7/8,GIT.

Desired Technical Skills:

• Working experience on Actimize RCM solution.
• Knowledge of testing automation tools like selenium.
• Good knowledge of Actimize AIS solution
• CI/CD

Required Aptitudes

• Ability to take on challenges and open to learning new technologies.
• Ability to work on multiple projects at the same time.
• Passion for innovation and find creative solutions to complex business problems.
• Team player.

Educational qualification and experience:

• Bachelor degree in engineering/computer science or MCA from recognized institution
• Minimum 3 years of development experience in required technical skills.

Role 3 – Java+ Spring + Azure  ( Mandatory)

Location – Bangalore

Experience – 4 – 7 years

Role 4 – Java Fullstack

Experience  - 5 – 9 years

Location – Mumbai ( NKP)

No of open role – 4

Mandatory Skills – Core Java , Full stack and Unix

Responsibilities Include:

Ø  Work closely with Business Analysts to understand User and Functional Requirements

Ø  Conduct Technical Design, create Design Prototype and Design Specifications. Be able to understand business needs and translate into technology solutions

Ø  Implement the requirements using the latest firm wide technologies and approved global solutions

Ø  Perform Unit Testing and, wherever applicable, collaborate with QA Engineer on System / Integration / QA / Regression / Performance / Capacity Testing, and create testing documentation

Ø  Coordinate with users on User Acceptance Testing and provide testing support

Required technical skills:

Ø  Minimum 3-4 years of hands-on experience in software development

Ø  Good programming skills using Java

Ø  Excellent relational database skills on Sybase / DB2 & Unix Shell Scripting

Ø  Good knowledge and solid experience in Agile software development

Ø  Good knowledge, skills and abilities to perform high quality software testing

Ø  Experience on Axiom / XML / SOAP / Informatica is preferred but not essential

Required professional skills:

Ø  Enthusiasm for and interest in learning and applying new technologies to solve real world business problems

Ø  Pursuit for perfect delivery quality in a zero-error-tolerance environment

Ø  Strong analytical and problem solving skills

Ø  Good communication skills including ability to explain technical issues to non-technical people

Ø  Highly organized, self-motivated, result-oriented, and proactive with capability to work with minimal supervision

Ø  A strong can-do attitude

Ø  Creative and flexible while observing policies, rules and standards

Demonstrate highly proficient written and verbal communication skills in the English language

Role 5 – Core Java / Java backend hands on developer

Location – Mumbai and Banglare

Experience  - 5  – 10 years /

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

• Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
• Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
• Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
• Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
• Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

• Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
• Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
• Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

• 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
• Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
• Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
• Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
• Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
• A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
• Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.