Business Intelligence Lead

Building the machine learning production (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.

Responsibilities

As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.

• Enable Model tracking, model experimentation, Model automation
• Develop ML pipelines to support
• Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
• Develop MLOps components in Machine learning development life cycle using Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
• Be an integral part of client business development and delivery engagements across multiple domains

Required Qualifications

• 3-5 years experience building production-quality software.
• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
• Strong experience in System Integration, Application Development or Data Warehouse projects across technologies used in the enterprise space
• Knowledge of MLOps, machine learning and docker
• Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
• CI/CD experience( i.e. Jenkins, Git hub action,
• Database programming using any flavors of SQL
• Knowledge of Git for Source code management
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions
• Foundational Knowledge of Cloud Computing on Azure
• Hunger and passion for learning new skills

We at Gobi are taking applications for a business development executive.

The ideal candidate will have experience in procuring new clients and managing existing ones in the security and manpower sector. They should have evidence of strong communication skills and good negotiation skills.

Responsibilities

• Procuring new clients through direct contact or word-of-mouth
• Maintain consistent contact with existing clients
• Attending networking activities to research and connect with prospective clients.
• Analyzing market and establishing competitive advantages
• Maintaining meaningful relationships with existing clients to ensure that they are retained.
• Reviewing clients' feedback and implementing necessary changes.
• Suggest upgrades or added products and services that may be of interest to clients.

Qualifications

• Degree in marketing, business administration, or similar.
• Experience in full sales cycle including deal closing Demonstrated sales success.
• Strong negotiation skills.
• Great networking skills.
• Strong communication and presentation skills
• CRM experience is preferred.
• Resourceful, with outstanding research skills.
• Excellent written and verbal communication.

Position: Senior Backend Developer

Experience: 4 + years

Location: Bengaluru/Mangalore

We are a multi-award-winning creative engineering company offering design and technology solutions

on mobile, web, and cloud platforms.

We are looking for an ambitious Backend developer to join our team.

Roles and Responsibilities:

1. Work closely with our clients to develop, test, and ship software.

2. Design, code and maintain standard compliant APIs.

3. Debug complex applications.

4. Follow agile processes.

5. Actively participate in project estimation, planning, code reviews and risk management activities

6. Perform peer code reviews.

Desired Profile:

■

Excellent hands-on experience in backend software development

■

Proficient in NodeJS with solid understanding of Typescript

■

Hands on experience with relational [MySQL / PostgreSql] and NoSQL databases

[Preferably, MongoDB]

■

Cloud deployment experience [Preferably, AWS]

■

Must have working knowledge about the AWS serverless services (Lambda, Step Function, API

Gateway, Database Proxy, SQS/SNS, Event Bridge)

■

Experience in containerizing with Docker and Kubernetes is an added advantage.

■

Experience in leading a team is needed.

Good to have:

■

Knowledge of GraphQL API

■

Good Communication and Leadership/Mentoring skills

About the Company:-

Our Client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job description:-

• General Insurance Domain Knowledge

• Increase reach and market share by adding new clients in the desired segment to the Organization’s Portfolio

• Achieve financial targets articulated in the strategic plans of the Organization in terms of the brokerage earned through

✓ Conversion of new clients

✓ Retention of existing clients

✓ Support of specialist vertical budgets

• Create potential databases from insurers and other sources

• Insurance Data Management

• GAP Analysis / Tender Bidding

• Client Management & Visits on a periodical basis

• Market Research on Large Accounts and Strategy Planning

• Updating self on Product Knowledge to ensure the right offerings to the Client

Location:- Mumbai

Qualification:-

• Graduation / MBA / Post-Graduation

• Insurance-related qualifications would be added advantage

Prior Experience: 6 - 10 years of experience in Corporate Sales

Technical Skills:

• Ability to handle diverse types of Clients / Large Corporates within India

A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.

Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

Roles and Responsibilities

• Build talent pipelines for current and future job openings
• Lead all sourcing strategies
• Manage our external partnerships with colleges, job boards and HR software vendors
• Implement online and offline employer branding activities
• Prepare and review our annual recruitment budget
• Oversee all stages of candidate experience (including application, interviews and communication)
• Forecast hiring needs based on business growth plans
• Manage, train and evaluate our team of recruiters
• Participate in and host recruitment events to drive awareness of our company
• Develop a network of potential future hires (e.g. past applicants and referred candidates)
• Measure key recruitment metrics, like source of hire and time-to-hire

Desired Candidate Profile

• Proven work experience as a Talent Acquisition Specialist or similar role
• Demonstrable experience managing full-cycle recruiting and employer branding initiatives
• Solid understanding of sourcing techniques and tools (e.g. social networks)
• Hands-on experience with Applicant Tracking Systems (ATSs) and HR databases
• Good team-management abilities
• Excellent communication skills with the ability to foster long-term relationships (with internal teams, external partners and candidates)
• BSc/MSc in Human Resources Management or relevant field