Fullstack Developer

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

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.

Title:- Senior Data Engineer 

Experience: 4-6 yrs

Budget: 24-28 lpa

Location: Bangalore 

Work of Mode: Work from office

Primary Skills: Data Bricks, Spark, Pyspark,Sql, Python, AWS

Qualification: Any Engineering degree

Responsibilities:

∙Design and build reusable components, frameworks and libraries at scale to support  analytics products. 

∙Design and implement product features in collaboration with business and Technology

 stakeholders. 

∙Anticipate, identify and solve issues concerning data management to improve data   quality.

∙Clean, prepare and optimize data at scale for ingestion and consumption.

∙Drive the implementation of new data management projects and re-structure of the   current data architecture.

∙Implement complex automated workflows and routines using workflow scheduling tools. 

∙Build continuous integration, test-driven development and production deployment

 frameworks.

∙Drive collaborative reviews of design, code, test plans and dataset implementation  performed by other data engineers in support of maintaining data engineering  standards.

∙Analyze and profile data for the purpose of designing scalable solutions. 

∙Troubleshoot complex data issues and perform root cause analysis to proactively resolve

 product and operational issues.

∙Mentor and develop other data engineers in adopting best practices.

Qualifications:

Primary skillset:

∙Experience working with distributed technology tools for developing Batch and  Streaming pipelines using 

  o SQL, Spark, Python, PySpark [4+ years],

  o Airflow [3+ years],

  o Scala [2+ years].

∙Able to write code which is optimized for performance.

∙Experience in Cloud platform, e.g., AWS, GCP, Azure, etc.

∙Able to quickly pick up new programming languages, technologies, and frameworks.

∙Strong skills building positive relationships across Product and Engineering.

∙Able to influence and communicate effectively, both verbally and written, with team  members and business stakeholders

∙Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for  Managed Spark jobs, build Docker images, etc.

∙Working knowledge of Data warehousing, Data modelling, Governance and Data   Architecture

Good to have:

∙Experience working with Data platforms, including EMR, Airflow, Databricks (Data

 Engineering & Delta Lake components, and Lakehouse Medallion architecture), etc.

∙Experience working in Agile and Scrum development process.

∙Experience in EMR/ EC2, Databricks etc.

∙Experience working with Data warehousing tools, including SQL database, Presto, and

 Snowflake

∙Experience architecting data product in Streaming, Serverless and Microservices  Architecture and platform.

We are seeking a Senior Python Developer to join our team. As a Senior Python Engineer, you will play an integral part in the development and innovation of AI-dedicated software and to develop ways to enhance the end user experience.

Responsibilities:

• Adopting a collaborative work style with other relevant departments.
• Designing and maintaining front and back end components of web applications.
• Troubleshoot and solve defects and bugs within software.
• Review code and implement a standard of which to assess written code.
• Ensure encryption and cybersecurity protocols are adhered to at all times.

Requirements:

• Ideally, you will hold a Masters or PhD in Computer Science or a related field.
• Have a minimum of 5+ years experience in Software development using Python.
• Experience using Django and/or Flask.
• Experience working with regional databases including Postgres.
• Familiarity with Github would also be preferred.

Benefits:

• Work Location: Remote
• 5 days working​

You can apply directly through the link: https://zrec.in/nAb0Z?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

Roles and Responsibilities

- Calling people who have filled the signup or contact form

- Finding leads online/offline who match the criteria of the target customer

- Make cold calls to the leads generated

- Handle both outbound/inbound calls

- Update systems, CRMs, Excels, Google Sheets

- Give platform demo to interested customers

- Write articles/knowledge base for tutorials on how to use the product

- Support customers for any queries about the product

Desired Candidate Profile

- Should have great convincing skills

- Should have strong negotiating skills

- Should be able to pitch the client understand the customer instead of repeating a fixed sales pitch

- Should have always achieved targets or beyond

- Should be able to Tech Savvy

- Go-getter attitude, self-starter, instead of manager or management having to follow up to get work done or to remind about targets

- Well organized with handling data, sales funnel and reaching out to the customers on time

- Soft-spoken and delight for customers to speak to

- Must have email writing skills to follow up or share information

- Can be on phone for a long time and familiar with using dialer systems

Job Purpose:

As the Presales Manager Infrastructure Services, you will provide consultancy services by analysing customer requirements and providing quality and cost-effective solutions to produce high quality bid proposal to our customers. You will help the organization improve its profit potential and competitive standing through continuous reviews and enhancements on products and solutions trending.

Key Accountabilities

·       Build and maintain a comprehensive and up-to-date bid materials and templates

·       Produce high quality solution and bid proposal to increase the winning chances of bids

·       Strategize and maintain standardization of products and solutions align to partnership strategy and business direction

·       Be the brand custodian

·       Team Manager

Job Responsibilities & Duties

·       Provides infrastructure presale support to internal/external team during bidding.

·       Gather bid/user requirement from tender specification; evaluates and recommends new/upgrade of software and hardware to meet the project/tender requirement.

·       Provides infrastructure architecture design through industrial best practices and standards.

·       Provides infrastructure consultancy to internal/external team.

·       Profound understanding of the interdependencies of the services (application, system, network and database) and their failover capabilities in a n-Tier Data Center Environment

·       Keeps abreast of technological advancement, emerging standards and new software or hardware solutions to continuously provide proven, innovative, cost-effective and quality solution.

·       Ability to apply experiences and knowledge into Infrastructure solutions

·       Must have good technical skills and know-how to assist in technical solution selling

·       Ability leading and conducting Proof-Of-Concept (POC) and Demo activities to assist sales in closing deals

·       Excellent communication and presentation skills (Tender presentation)

·       Excellent documentation skills with fluent English for Technical write-up and proposal writing

·       Provides technical guidance to junior colleagues in their work

·       Any other duties as and when assigned.

Financial Accountabilities

·       To meet the set target revenue and profit yearly set by the management committee

Minimum Education/Qualifications

·       Degree in Computer Science or related IT discipline with minimally 8 years of relevant experiences in System Integrator environment

Minimum Years/Type of Experience

·       An experience Team player.

·       Generally, the candidate should have minimally 5 years of relevant working experiences in establish system Integrator organization with IPv6 domain experiences.

·       He/She should have good domain knowledge in Government bid process and their domain solution.

·       In addition, he/she should have the experiences and skillsets in the following Infrastructure domain areas:

o  Networking: Preferably CCNP with in depth knowledge of market leading brands of Firewalls, Load Balancers, Routers and Switches, IPS/IDS, Global Traffic Manager, Wireless and IP Telephony in a n-Tier Data centre environment.

o  Application: Familiar with middleware products and their role on multi-tier architecture, broad understanding of the ORACLE and IBM suits and RedHat JBoss group of Middle-wares.

o  Databases: Sound knowledge and experiences with different types of database products, replication technologies and (eg. Oracle, IBM DB2, MSSQL, MySQLs) and their role on multi-tier architecture in a multi-sites environment.

o  Server: Sound knowledge and experiences on server virtualization and able to calculate the compute resources sizing based on project requirements inputs; good understanding of architecture components for all tiers, storage, back up and server security. General understanding of the major hardware platforms (Oracle Sun, IBM, HP, DELL, etc).

o  Storage: Sound knowledge and experiences on storage networking and data replication, sizing requirements, implementations and SAN / NAS replication as well as COLD / WARM DR storage architecture. Preferably having a good understanding of FCoE, FCIP concept and theory would be advantage.

o  Security: Preferably CISSP certified and familiar with the industry trends in relation to security solutions and best practices such as infrastructure hardening, endpoints and SIEM solution, advance threats and mitigation know-how.

o  Cloud: Good understanding of Cloud Computing solutions with experiences in design, implementation and      operation of IaaS. PaaS platform for various type of hypervisors. Essential knowledge in Micro-services architecture (Kubernetes)

o  Essential knowledge of Government Infrastructure Policies and Implementation knowledge in Government      Commercial Cloud and Private Cloud

Looking for integration of Signavio tool with other systems like Teams, SNOW, EXTOLLO, Alice etc.,  Optimization and automation of the processes are needed  Enhance the integrations with other systems, look for optimization & automation  Candidate should have good knowledge on the above languages and frameworks  Hands on experience and good at handling the business connects is must  Should have good communication skills & Analytical Skills  Good to have: UI Frameworks like ReactJS and Angular  Should be able to understand the complete framework of application/tool  Understanding on the integrations & configurations with integrated DB and other technology classes layers is added advantage  Good team player and be ready to work individually and also team level Education: BE/B. Tech in relevant stream and equivalent degree in computer science

Company Overview:

Rakuten, Inc. (TSE's first section: 4755) is the largest ecommerce company in Japan, and third largest eCommerce marketplace company worldwide. Rakuten provides a variety of consumer and business-focused services including e-commerce, e-reading, travel, banking, securities, credit card, e-money, portal and media, online marketing and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas. Founded in 1997, Rakuten is headquartered in Tokyo, with over 17,000 employees and partner staff worldwide. Rakuten's 2018 revenues were 1101.48 billions yen. 　 -In Japanese, Rakuten stands for ‘optimism.’ -It means we believe in the future. -It’s an understanding that, with the right mind-set, -we can make the future better by what we do today. Today, our 70+ businesses span e-commerce, digital content, communications and FinTech, bringing the joy of discovery to more than 1.2 billion members across the world.

Website : https://www.rakuten.com/">https://www.rakuten.com/

Crunchbase : https://www.crunchbase.com/organization/rakuten">Rakuten has raised a total of https://www.crunchbase.com/search/funding_rounds/field/organizations/funding_total/rakuten">$42.4M in funding over https://www.crunchbase.com/search/funding_rounds/field/organizations/num_funding_rounds/rakuten">2 rounds

Companysize : 10,001 + Employees

Founded : 1997

Headquarters : Tokyo, Japan

Work location : Bangalore (M.G.Road)

Please find below Job Description.

Role Description – Data Engineer for AN group (Location - India)

Key responsibilities include:

We are looking for engineering candidate in our Autonomous Networking Team. The ideal candidate must have following abilities –

• Hands- on experience in big data computation technologies (at least one and potentially several of the following: Spark and Spark Streaming, Hadoop, Storm, Kafka Streaming, Flink, etc)
• Familiar with other related big data technologies, such as big data storage technologies (e.g., Phoenix/HBase, Redshift, Presto/Athena, Hive, Spark SQL, BigTable, BigQuery, Clickhouse, etc), messaging layer (Kafka, Kinesis, etc), Cloud and container- based deployments (Docker, Kubernetes etc), Scala, Akka, SocketIO, ElasticSearch, RabbitMQ, Redis, Couchbase, JAVA, Go lang.
• Partner with product management and delivery teams to align and prioritize current and future new product development initiatives in support of our business objectives
• Work with cross functional engineering teams including QA, Platform Delivery and DevOps
• Evaluate current state solutions to identify areas to improve standards, simplify, and enhance functionality and/or transition to effective solutions to improve supportability and time to market
• Not afraid of refactoring existing system and guiding the team about same.
• Experience with Event driven Architecture, Complex Event Processing
• Extensive experience building and owning large- scale distributed backend systems.