Data Engineer

We are looking for a resilient, empathic Business Development Executive to contribute to 

the growth of our company. Business development executives are responsible for finding 

and retaining clients, encouraging extant clients to purchase added products or features, 

and remaining abreast of changes in consumption.

Requirements:

• Bachelor's degree in business management, marketing, or related field.

• 0 - 3 years' relevant work experience in business development or similar field 

preferred.

• Excellent written and verbal communication skills.

• Ability to handle multiple projects simultaneously and work under pressure.

• Proficient in Microsoft Office and relevant software.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends.

Requirements:

- Proficiency in Java fundamentals and coding.

- Proficiency in front-end technologies such as Angular and React.

- Experience with backend frameworks like Spring Boot (mandatory).

- Previous experience as a Java Full Stack trainer.

- Excellent communication skills.

- Ability to work independently and remotely (for candidates outside Kochi, Kerala).

- Willingness to work onsite in our office (for Kochi residents).

Preferred Qualifications:

- Certification in Java.

- Experience with Agile methodologies.

Job Sector: IT, Software

Job Type: Permanent

Location: Chennai

Experience: 10 - 20 Years

Salary: 12 – 40 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: Python, Spark, AWS, SQL, PySpark

Contact at triple eight two zero nine four two double seven

Job Description:

Requirements

• Minimum 12 years experience
• In depth understanding and knowledge on distributed computing with spark.
• Deep understanding of Spark Architecture and internals
• Proven experience in data ingestion, data integration and data analytics with spark, preferably PySpark.
• Expertise in ETL processes, data warehousing and data lakes.
• Hands on with python for Big data and analytics.
• Hands on in agile scrum model is an added advantage.
• Knowledge on CI/CD and orchestration tools is desirable.
• AWS S3, Redshift, Lambda knowledge is preferred

Position: Android Developer – SD II

Organization: A Funded global healthcare platform connecting doctors, thereby enabling exchange of information on a quick and real time basis, founded in the year 2013.Currently there are 3 lakh doctors using this platform and everyday there are 400 new doctors joining it.A Funded global healthcare platform connecting doctors, thereby enabling exchange of information on a quick and real time basis, founded in the year 2013.Currently there are 3 lakh doctors using this platform and everyday there are 400 new doctors joining it.

The platform promotes exchange of viewpoints, ideas, and information on various medical practices amongst healthcare professionals. This saves both time and money as solutions to several health issues can be accessed on a real time basis. There are 1.3 million registered doctors and 400+ daily publications on its platform and they operate across 16+countries.

Location: Bangalore (Currently Remote, Later you need to relocate)

Roles & Responsibilities

You’re Awesome At -

• Native Android App development (Preferably for a B2C Product)
• Proficiency in various algorithms and data structures.
• Proficiency in Kotlin with at least 1 year of experience in Kotlin.
• Good knowledge of Coroutines, RxJava and JetPack components. JetPack Compose is a bonus.
• Strong experience with REST APIs (Retrofit), storage databases, multi-threading, performance, and memory tuning.
• Deep understanding of android architecture such as MVP and MVVM

Your Academic Qualifications -

BE / BTech in Computer Science preferred. However, if you have good hands-on knowledge of building Android apps, that’s what we are looking for!

You’ll Be Improving & Responsible For –

• A team that is building products used by 300k + doctors every single day.
• Work on Petabyte Scale Streaming Systems - more than 500 million hours of video has been streamed.
• Lead high volume VOD streaming (think of systems as sophisticated as Netflix and Amazon prime).
• Challenge oneself on Security, Scalability and Stability
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Reach out to the open-source community to encourage and help implement mission-critical software fixes

Your Experience Across the Years in the Roles You’ve Played -

2-4 years

Good to have:

• Experience in a test-driven environment
• Application built using Jetpack Components.
• In depth knowledge of handling database and db migration.
• Passion for product quality and attention to details.

What you need to have:

Job Description:

We are looking to hire a skilled Desktop Support Engineer to assist our clients with computer hardware and software issues. Addressing and resolving sudden specific problems, they may run regular tests and monitor computer systems to prevent the problems from occurring.

The candidate should have: 

• Troubleshooting hardware and software issues.
• Installing and maintaining hardware and computer peripherals.
• Installing and upgrading operating systems and computer software.
• Troubleshooting networking and connection issues.
• Advising on software or hardware upgrades.
• Providing basic training in computer operation and management.
• Completing job reports and ordering supplies.

• Within a team of more than 60 people, you will be in charge of: entire HR activities and will carry out the following duties:
• Managing company staff, including coordinating, and supporting the recruitment process.
• Manage Internal and External communication related to HR
• Bridging management and employee relations by addressing demands, grievances, or other issues 4) Preparation and implementation of HR policies and guidelines
• Support Group policies, good practices and guidelines to managers and monitoring they are properly applied locally
• Compliance implementation and grievance handling. Nurture a positive working environment
• Ensure legal compliance throughout human resource management
• Employee engagement Activities, General administration work at Bangalore office including procurement of office supplies
• Coordination with suppliers, vendors, and service providers for Ecocert
• Maintaining knowledge of changing trends, best practices, regulatory changes in human resources and associated fields.

Education:

• Bachelor’s degree + Diploma/MBA in HR
• Experience: 5+ years in human resources (proven working experience as HR Manager or HR Executive) or recruitment

Technical skills: -

• In-depth knowledge of labour law and HR best practices
• Demonstrable experience with Human Resources metrics
• Extensive knowledge of HR policies and systems
• Knowledge of HR systems and databases (HRIS)
• Familiarity with HR software and working knowledge of MS Office

Behavioural skills:

• Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset
• People oriented and results driven
• Ability to architect strategy along with leadership skills
• Autonomy, proactivity, accountability
• Attention to details
• Adept to problem-solving and conflict resolution
• Excellent active listening, negotiation, communication, and presentation skills.
• Handle confidential matters with discretion

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.