ENOVIA Developer

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is FULL TIME WFH NIGHT SHIFT role.

The role is fully Remote but the client is conducting Drive interview at Bangalore on 28-29 March

If interested kindly share your updated cv at 82008 31681

Manager US Taxation (Partnership - Financial Services)

Mumbai,Bangalore & Hyderabad

Must-Haves :

Should have reviewing experience on Partnership 1065 forms for Financial Services clients. 

EA/CA/CPA certified for this role (Mandatory).

Experience in any of the below:

Hedge Fund Taxation

Private Equity Taxation

Funds of Funds Taxation

-Providing tax planning and reviewing complex 1065 tax returns of Hedge Funds, Private Equity Funds, Venture Capital Funds, Fund of Funds, and similar complex structures.

-Review and managing of the Tax returns and supporting Work papers as per US Tax Law

-Compliances for below:

 i) Form 1065, Schedules K-1, K-2, K-3, 

ii) State and Local Tax compliances 

iii) International filling compliances

-Lead client relationships on day-to-day tax matters supporting partners with service execution and development of extended services

Open for candidates from Mumbai,Bangalore,Hyderabad 

Minimum 1 years experience working a Manager

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No gaps in organization

No job hoppers(candidate must have good stability)

No Poach Clients (Plus other Strict No-Nos) :

PKF O CONNOR DAVIES INDIA PRIVATE LIMITED

Only consulting firms, we are not open to candidates from industry.

Non-certified candidates cannot be hired at Manager level.

Nice to Haves :

Target Companies :

Big 4's, Small and Mid-size boutique firms

Additional Guidelines :

Shift timings: 12:30 pm to 9:30 pm, should be flexible during busy season.

Work mode: 4 days' work from office (home drop for female employees).

Rounds of Interviews: In person interview (both rounds on the same day)

NNIIT is a pioneering Edtech start-up with the goal of empowering individuals in the digital age. We are actively seeking talented individuals to join our dynamic team in Hyderabad. If you meet the qualifications and are passionate about making an impact in the Ed-tech sector, keep reading!

Job Description:

Company: NNIIT (On-Roll)

Salary: 4 LPA Plus Incentives

Job Location: Hyderabad (On site)

Roles & Responsibilities:

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails.
• Calling to 250+ calls/day and maintain 3hrs of Talk-time thus booking 10 conductions for the week for each day
• Understand customer needs and requirements. Route qualified opportunities to the appropriate sales executives for further development and closure.
• Close sales and achieve quarterly quotas
• Research accounts, identify key players and generate interest.
• Maintain and expand your database of prospects within your assigned territory Team with channel partners to build pipeline and close deals
• Perform effective online demos to prospects.

FAQs:

Salary Expectation: Minimum 20,000 INR with the potential to reach up to 74,000

INR based on skills, experience, and interview performance.

Eligibility Criteria: Graduates with 1 to 31 years of experience in Ed-tech K9 & K12 background are eligible to apply.

Specific Skills Required: Good sales skills, proficiency in English, and strong communication abilities are essential.

Applicants: Both male and female candidates are welcome to apply.

• 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

• Bachelor's or Master’s degree in Computer Science or equivalent area
• 10 to 20 years of experience in software development
• Hands-on experience designing and building B2B or B2C products
• 3+ years architecting SaaS/Web based customer facing products, leading engineering teams as software/technical architect
• Experiences of engineering practices such as code refactoring, microservices, design and enterprise integration patterns, test and design-driven development, continuous integration, building highly scalable applications, application and infrastructure security
• Strong cloud infrastructure experience with AWS and/or Azure
• Experience building event driven systems and working with message queues/topics
• Broad working experience across multiple programming languages and frameworks with in-depth experience in one or more of the following: .Net, Java, Scala or Go-lang
• Hands-on experience with relational databases like SQL Server, PostgreSQL and document stores like Elasticsearch or MongoDB
• Hands-on experience with Big Data processing technologies like Hadoop/Spark is a plus
• Hands-on experience with container technologies like Docker, Kubernetes
• Knowledge of Agile software development process

• Designing, implementing, testing, and maintaining production-quality cloud storage solutions within Google Cloud Platform, Amazon Web Services, and Microsoft Azure
• Provision and manage storage within Virtual (VMWare, Hyper-V, etc), Windows, and Linux environments
• Ensure the availability, reliability, and security of storage platforms and related management systems
• Monitor and report on SAN operational health and performance
• Familiarity with Fibre Channel, iSCSI, CIFS, and NFS protocols and management
• Plan and execute SAN zoning configuration changes on Brocade and Cisco MDS technologies
• Plan and execute storage hardware, software, and firmware updates/upgrades
• Troubleshooting any storage-related problems or outages
• Install and configure new storage devices
• Perform capacity analysis/capacity planning, and recommend storage environment improvements
• Create documentation around storage management tasks and procedures
• Cross-train other staff on storage processes and best practices
• Perform capacity analysis on vSphere environments, and recommend changes and enhancements to meet demand
• Perform day-to-day management tasks in vCenter, including vMotion, storage migrations, and P2V
• Knowledge of, and experience implementing VMWare best practices
• Experience supporting a variety of platforms, including at least some of the following: DellEMC Unity, VMAX/PowerMax (this is an important one), Isilon, DataDomain, NetApp
• Supporting and operating platforms with the core principle of “automate everything” at the center of your work

• Hiring, developing and managing the creative team
• Keeping abreast with current trends, job knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks, and participating in professional organizations.
• Making sure all Visual Management activities are executed and implemented as per the plan and budgets allocated
• Planning, and designing overall user flow & user experience (UX) for e-store/ mobile app to ensure its creative, innovative and user-friendly
• Creating appealing and eye-catching visual displays
• Developing visual design and strategies for new collection/category/ product launch
• Developing visual strategies for the display of products on the e-store in a way that will enhance the overall user experience (UX)
• Brainstorming the e-store & Mobile App theme, design ideas, content etc with senior management
• Making detailed guidelines document to develop the User Interface (UI) for new developments and amendments
• Providing instructions and working closely with Graphic Designer for making UI designs and creatives
• Improving social reach & ad engagement and conversion rate.
• Managing the processes related to video shoots, product shoots, lifestyle shoots etc for social media and websites
• Setting up and streamlining process for product and marketing designs to result in an overall performance improvement of the team

What you need to have:

SiteRecon is looking for an Engineering Leader who can visualize the nuts and bolts of the product architecture and bring it to life. You will be responsible for leading the engineering team and contributing to product conception from an engineering standpoint. You will also be the thought leader for engineering in the team. 

You will lead the development of new smart web applications and you will be mainly involved in the development of our platform (SiteRecon). You will be working in an exciting environment alongside people with tremendous ambition. You will have the freedom to implement your own designs & solutions. You will be working together with the core team of SiteRecon - all graduates from IITs working at the cutting edge for the past few years, CEO, CPO, and CDS. 

Role and Responsibilities:

• Ensure high-quality customer experience through our products. 
• Hiring and retaining engineering teammates. 
• Inculcate a culture where high-quality engineers can thrive and grow. 
• Contribute to product conception from an engineering perspective.
• Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
• Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
• Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.
• Develop and implement high and low-level system design for engineering projects.
• Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.
• Coordinate with internal teams to understand data processing pipelines and provide technical solutions.
• Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
• Represent engineering team before stakeholders outside SiteRecon (users, investors, job candidates)

Does This Sound Like You?

Must Haves:  

• 3+ years of experience in the backend (preferably Django), frontend and software design and architecture.
• Experience with DevOps technologies such as Docker, Kubernetes, Jenkins or CI/CD.
• Knowledge of messaging services like Apache Kafka, RabbitMQ.
• Understanding of cloud services like AWS and GCP.
• Experience working at a startup that scaled while you were there.
• Experience managing a team, converting product requirements into engineering sow.

Good To Haves:  

• Experience with PostGIS or any other geo-database.
• Understanding of Geographic Information Systems and related terminologies.
• Experience in developing production versions of deep learning applications.

Candidate attribute (Culture Fit):

• Comfortable operating in a constantly changing and fast-paced environment.
• A passionate, driven individual who can achieve results through both, independently and teamwork and collaborative approaches.
• Have a strong work ethic and natural ownership ability.