AVP/ VP Engineering

• Project Planning and Execution:Develop comprehensive project plans, including scope, objectives, timelines, and budgets.   
• Lead project teams, assigning tasks and responsibilities, and ensuring effective collaboration.
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Manage project resources, including personnel, equipment, and budgets.
• Ensure projects are delivered on time, within budget, and to the required quality standards.

Stakeholder Management:

• Build and maintain strong relationships with stakeholders, including clients, team members, and senior management.
• Communicate project status, risks, and issues effectively to stakeholders.
• Manage stakeholder expectations and ensure their needs are met.

Risk Management:

• Identify and assess project risks and develop risk mitigation strategies.
• Proactively address issues and resolve conflicts to minimize project disruptions.
• Implement change management processes to control project scope and ensure alignment with objectives.

Job Summary:

A Desktop Support Engineer is responsible for providing IT support, troubleshooting hardware and software issues, and ensuring the smooth operation of desktop and laptop systems in an organization.

Key Responsibilities:

* Install, configure, and maintain Windows, macOS, and Linux operating systems.

* Troubleshoot hardware and software issues on desktops, laptops, and peripherals.

* Provide technical support for printers, scanners, and other office equipment.

* Assist users with network connectivity issues (Wi-Fi, LAN, VPN).

* Manage user accounts, passwords, and security settings in Active Directory.

* Respond to and resolve IT support tickets efficiently.

* Perform system updates, patches, and security checks.

* Train employees on basic IT troubleshooting and best practices.

Skills & Qualifications:

* Education: Diploma/Bachelor’s in IT, Computer Science, or related field.

* Experience: Minimum 1+ year in IT support or desktop engineering.

* Technical Skills: OS troubleshooting, hardware repairs, networking basics, and software installations.

* Soft Skills: Strong problem-solving, communication, and customer service skills.

Work Environment:

* Typically an on-site role in offices, IT firms, or support centers.

* May require shift-based work or on-call support.

At ISA ERP, we develop highly inventive ERP and decision-support Software to enhance productivity and address the challenges faced by global manufacturers due to the dynamically changing market. We embrace an inquisitive mindset, provide freedom to experiment, and encourage the acquisition of new skills. This offer is only for those who would not spare any pains to grow, innovate, and derive satisfaction by contributing significantly.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

About:-

ShareNest is India’s first technology-enabled, asset-light marketplace that makes second home ownership accessible, affordable and enjoyable for everyone. ShareNest's vision is to enrich lives by democratizing second home ownership, making it enjoyable and making it accessible for all. Our innovative co-ownership model is a unique combination of owning an aspirational, fully managed second home along with the benefit of financial upside from real estate investment.

Founded by the Business Head of India's first PropTech Unicorn, ShareNest has secured $1.5 million in a seed round from marquee investors, industry leaders and unicorn founders which will help build a base for the business to scale it to new heights.

Roles & Responsibilities:-

-Present, promote and sell service using solid opinions to prospective clients.

-Perform cost-benefit and needs analysis of existing/potential clients to meet their

needs.

-Establish, develop and maintain positive business and customer relationships.

-Reach out to customer leads through cold calling.

-Expedite the resolution of customer problems and complaints to maximize

satisfaction.

-Achieve agreed-upon sales targets and outcomes within schedule.

-Coordinate sales effort with team members and other departments.

-Keep abreast of best practices and promotional trends.

-Continuously improve through feedback Roles and Responsibilities

Desired Candidate Profile :

-Must be a Graduate

-Good communication skills

-Good Convincing Power

-Good Presentation skills

-Real Estate Sector is Preferred

Location - Mumbai

• 3+ years of experience in designing digital products.
• Ability to understand short and long-term goals of the product and business.
• Excellent understanding of user-centred design and visual design principles.
• A good understanding of frontend principles to guide the team from an engineering point of view.
• Understanding of behavioural analytics and goes by data-driven decisions, when needed. 
• Excellent communication and presentation skills and the ability to clearly articulate design decisions to the team and leadership.
• Keen interest in applying user research, user-needs validation and usability evaluation.
• Self-driven, comfortable with a fast-paced, always user-focused.
• A portfolio that showcases experience creating visual UI systems involved in overall creative direction down to icon systems, transitions, etc.
• Extensive knowledge and understanding of web and mobile platforms (iOS, Android design guidelines as well as their limitations

Why you should join us

- You will join the mission to create positive impact on millions of peoples lives

- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)

- You get to work in an accelerated learning environment

What you will do

- You will provide deep technical expertise to your team in building future ready systems.

- You will collaborate in a highly cross functional team, providing engineering perspective to non technical members of the team

- You will help develop a robust roadmap for ensuring engineering operational excellence

- You will establish clean and optimised coding standards that are well documented

- You will author efficient, reliable and performant systems

- You will design systems, frameworks and libraries that work at scale, are easy to maintain and provide a great developer experience

- You will be agile and curious about customer problems and business objectives

- You will actively mentor and participate in knowledge sharing forums

- You will work in an exciting startup environment where you can be ambitious and try new things :)

You should apply if

- You have a strong foundation in Computer Science concepts and programming fundamentals

- You have been working on backend web technologies since 8+ years

- You have built and maintained reliable systems that operate at high scale

- You’re experienced in building and running cloud-native platforms & distributed systems

- Extensive experience in any web stack (we use Typescript / AWS / DynamoDB / PostgreSQL)

- You understand the hustle of a startup and are good with handling ambiguity

- You are data driven, have customer empathy and enjoy building delightful applications

- You are curious, a quick learner and someone who loves to experiment

- You insist on highest standards of quality, maintainability and performance

- You work well in a team to enhance your impact

What are we looking for:

1. Strong experience in MySQL and writing advanced queries
2. Strong experience in Bash and Python
3. Familiarity with ElasticSearch, Redis, Java, NodeJS, ClickHouse, S3
4. Exposure to cloud services such as AWS, Azure, or GCP
5. 2+ years of experience in the production support
6. Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
7. Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
8. Interest in learning new languages / framework as needed
9. Good written and oral communications skills
10. A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with

As a product solutions engineer, you will:

1. Analyze recorded runtime issues, diagnose and do occasional code fixes of low to medium complexity
2. Work with developers to find and correct more complex issues
3. Address urgent issues quickly, work within and measure against customer SLAs
4. Using shell and python scripts, and use scripting to actively automate manual / repetitive activities
5. Build anomaly detectors wherever applicable
6. Pass articulated feedback from customers to the development and product team
7. Maintain ongoing record of the operation of problem analysis and resolution in a on call monitoring system
8. Offer technical support needed in development