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• Own end-to-end delivery of Oracle Fusion application services
• Act as primary contact for client stakeholders for service performance
• Oversee incident, problem, and change management
• Monitor SLA adherence, produce performance dashboards, and ensure governance compliance
• Drive service improvements, resource allocation, and escalation management
• Coordinate offshore/onsite teams and ensure smooth service transition
• 8+ years’ experience in application support/service delivery
• Knowledge of ITIL processes
• Strong analytical, coordination, and reporting skills
• Proven experience in managing application support teams
• Excellent stakeholder management, communication, and leadership skills

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

Job Role:

As a senior R&D Java Engineer, you will work in a highly collaborative, dynamic environment. Your work will impact a lot to make world bit safer place. You’ll design creative solutions to problems faced by companies due to cyber attacks. You will work closely with other partners such as product and pre-sales managers, UI developers, and other software engineers to develop new product offerings and improve the efficiency of the solution.

Responsibilities:

• Develop, modify, and implement, the software components of Nimesa Product.
• Assist QA Engineers with the creation and review of the test cases
• Write junits and test automation if anything required to have the coverage
• Assist other Engineers with the creation of detailed software design specifications.
• Keep an eye out for technology trends, and open-source projects that can be used.

Requirements:

• Bachelor's or Master's degree in computer science or relevant fields.
• At least 3+ years experience in end-end software development for large design and coordinating project teams in the SaaS industry.
• Software development experience with Java and Spring / Springboot, RabbitMQ, MYSQL etc
• Must have worked on fairly complex products from scratch
• Strong knowledge of data structure, multithreading and other comp science concepts (SQL or NoSQL)
• Excellent social and communication skills
• Demonstrated expertise in building Web Applications, Enterprise Applications, Web Services, and Management at scale is a requirement.
• Experience with Design patterns
• Knowledge of cloud-based architectures, deployment and operational aspects of Amazon Web Services cloud

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  

You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Work Experience:  2 years to 10 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg. 

• Working with business teams across the company to define requirements and high-level process/ system solutions, leading cross-functional teams (10-25) and managing the timelines for field sourcing teams to support sourcing and on-boarding of supply
• Working on strategies to acquire supply for existing business and new product lines and executing through field teams
• Driving margins improvements by improving supply acquisition cost
• Improving driver engagement and adoption to technology
• Regularly communicating with senior management and clients on status, risks and change control
• Defining KPIs/ KRAs on which would form the base for different processes

Desired Candidate Profile

• Graduates from Tier 1/2/3 engineering colleges and/or Tier 2/3 management colleges
• 2-10 years of frontline operational experience in B2B domain at a city/hub level
• Ability to adapt quickly to a new environment    

• 5+ years of relevant experience
• Design, implement and manage websites using WordPress
• Collaborate with members of a creative team
• Manage front-end and back-end website development
• Create WordPress plug-ins and themes
• Maintain well-documented, reusable, and transferrable code
• Troubleshoot and resolve website problems for clients and co-workers
• Stay abreast of new developments in software, trends, and practice
• Must have experience in managing media websites at scale.
• Proficiency using WordPress
• Expertise in HTML5, CSS3, JavaScript, and jQuery
• Experience using debugging tools such as Firebug and Chrome Inspector
• Strong understanding of front-end and back-end website development
• Keen attention to detail
• Good communication skills

• Experience in open source technologies - Solr, Redis, Kafka
• Exposure to building & managing applications in Amazon Webservices (AWS)
• Experience in security, scalability & performance aspects of solution
• Critical Skills: 1. Java / J2EE, Spring, PostGreSQL 2. Nginx, Tomcat 3. Developing REST webservices

Job Summary:

• Willingness to work on highly scalable cloud-native solutions based on microservices.
• Quickly learn the technologies and deliver using the same.
• Take complete ownership of the customer requirements.
• Motivated to deliver world-class quality.
• Inclined to bring new ways of thinking, working and providing solutions.
• Drive the concept of quality into everybody and have a zero-tolerance towards bad quality.

• Understand requirements from product management, customer and able to comprehensively break this down to manageable tasks.

Experience:

● 3-9 years of development experience.

Technical Skills:

Mandatory:

• Java - Advanced concepts concurrency, reflection, lambda, Java Springboot, Spring security,
• Actuator/Prometheus/Grafana/Servo (metrics),
• EFK/ELK stack (log analysis)
• OpenAPI/Swagger (documentation)
• RDBMS (PostgreSQL, MySQL, Maria or any other)
• NoSQL (Anyone of Mongo DB, Redis, Cassandra, Neo4J or other DBs)
• Automated unit tests/e2e tests (JUnit, TestNG, RestAssured etc)
• CI/CD pipelines (Jenkins, Sonar, Maven/Gradle etc)

Optional: (But highly recommended)

• NewSQL DB (TiDB, CockroachDB)
• AMQP/RabbitMQ
• Kafka
• Docker
• Kubernetes