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Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
About the company
KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.
Form Link for quicker response-https://forms.gle/vEYAFUaj8Fgs3sLy6
Job Description
Education Qualification: CA, CFA
Position: Senior & Junior position
Experience: Senior (6-8 years) & Junior (2-4 years)
Location: Pan India with potential requirement to travel to the middle east
Employment Type: contract for 6-12 months (Hybrid)
Responsibilities:
- Record Keeping: Maintain accurate and up-to-date financial records, including transactions, accounts payable/receivable, and payroll.
- Budget Monitoring: Track spending against the approved budget and flag discrepancies.
- Reporting Support: Assist the CFO in preparing financial reports and forecasts.
- Invoice Management: Process payments and manage vendor relations.
- Data Entry: Ensure timely and accurate entry of financial data into accounting systems.
- Tax Compliance: Ensure compliance with local and international tax regulations, including filing returns and payments.
- Tax Planning: Develop tax-efficient strategies to optimize the firm’s financial performance.
- Reporting: Prepare tax reports and liaise with external auditors and tax authorities.
- Regulatory Updates: Stay updated on changes in tax laws and assess their impact on the firm’s operations.
- Risk Mitigation: Identify and mitigate potential tax risks to avoid penalties or disputes with authorities.
We are looking for an experienced Java Developer with strong proficiency in Kafka and MongoDB to join our dynamic team. The ideal candidate will have a solid background in designing and developing high-performance, scalable, and reliable applications in a microservices architecture. You will be responsible for building real-time data processing systems, integrating various services, and ensuring smooth data flow across systems.
Key Responsibilities:
- Design, develop, and maintain scalable Java applications with a focus on performance and reliability.
- Build and maintain Kafka-based real-time data pipelines for handling high-volume, low-latency data.
- Work with MongoDB to design and optimize database schemas and queries for high throughput and availability.
- Collaborate with cross-functional teams to define, design, and implement new features and improvements.
- Troubleshoot and resolve issues related to system performance, scalability, and reliability.
- Ensure software quality through best practices, including testing, code reviews, and continuous integration.
- Implement and maintain security best practices in both code and data handling.
- Participate in agile development cycles, including sprint planning, daily standups, and retrospectives.
Required Skills & Qualifications:
- 7+ years of experience in Java development, with a strong understanding of core Java concepts (J2EE, multithreading, etc.).
- Hands-on experience with Apache Kafka, including setting up brokers, producers, consumers, and understanding Kafka Streams.
- Proficient in working with MongoDB for designing efficient data models, indexing, and optimizing queries.
- Experience with microservices architecture and RESTful APIs.
- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.
- Strong understanding of distributed systems, message-driven architectures, and event streaming.
- Familiarity with version control systems like Git.
- Excellent problem-solving skills, with the ability to debug and optimize code for high-performance systems.
- Experience with CI/CD pipelines and automated testing.
Job Responsibilities:
- Server Monitoring: Monitor server performance and respond to alerts promptly. Troubleshoot and resolve system and network issues.
- Server Disk Cleanup: Regularly analyze and clean up server storage to optimize performance and resource allocation.
- Deployment of New Linux Instances: Create and configure new Linux server instances based on project requirements. Ensure proper security measures and updates during deployment.
- DNS Management: Manage DNS records, domains, and configurations for internal and external services.
- Backing up/Archiving Logs: Implement backup and archiving strategies for server logs to maintain data integrity and facilitate auditing.
- MySQL Backups: Create and manage automated backups of MySQL databases to ensure data integrity. Develop disaster recovery plans.
- System Administration Strategies: Develop and implement system administration strategies to enhance server performance, security, and scalability. Stay updated with industry best practices and emerging technologies
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a Linux Administrator or similar role (5+ years).
- Proficiency in Linux server administration (CentOS, Ubuntu, etc.).
- Strong knowledge of: Server monitoring tools (e.g., Nagios, Zabbix). Configuration management tools (e.g., Ansible, Puppet). Virtualization and containerization (e.g., Docker, Kubernetes). DNS management (e.g., BIND, AWS Route 53). Backup solutions (e.g., Bacula, AWS Backup). Log management and analysis (e.g., ELK Stack, Graylog). Database administration (e.g., MySQL, MariaDB). Security best practices and firewall configuration. Scripting languages (e.g., Bash, Python). Version control systems (e.g., Git). Cloud platforms (e.g., AWS, Azure, Google Cloud). Monitoring and alerting tools (e.g., Grafana, Prometheus). Networking concepts (TCP/IP, routing). System administration strategies and documentation. Excellent problem-solving skills and the ability to work independently.
- Strong communication and teamwork skills.
About us:
Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.
We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.
Qualifications:
- Overall experience of 4 to 7 years in ML
- B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)
Requirements:
- Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
- Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
- Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
- Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
- Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
- Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
- Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
- Proficient in writing GPU kernels using CUDA .
- Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
- Developed novel techniques for ML model measurement and mitigation.
- Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
- Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
- Experience with MongoDB, MySQL, and Vector databases.
- Experience with analytics.
- Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
- Experience in mentoring and growing engineers.
Additional Benefits:
Competitive compensation along with ESOPs of a path-breaking Fintech startup
If you love interacting with high-net worth people, and maintaining strong long-term relationships, this is the position for you!
The WH/TL is a dynamic professional with experience in Business Development, Portfolio Management & Client Relationship Management in the Financial Services sector. (S)he would be responsible for driving teams to exceed sales targets and client relationship management by delivering the best standards of services.(S)he would be helping the teams to establish strong ties with them by designing & implementing their financial plans; and then by ensuring that they receive and execute on the right advice. (S)he would be a business manager as he would be responsible for P&L of his team.
Wealth Management, Financial Services, Broking
Responsible for development and management of respective zone teams, comprising Team Leaders, RMS
Responsibilities:
Handling a team of Wealth Managers and planning and achieving Sales Targets for Wealth Management products through the team by motivating, Inspiring and providing guidance to the team to keep the performance levels high
Maintaining profitability targets by ensuring good IRR and cross sell
Identifying streams for revenue growth & developing business plans to build consumer preference
Responsible for creation a client base in direct equity by acquiring new Private Wealth / HNI Clients / Corporate clients by interacting & developing rapport with all external/internal constituents of client at all levels; for maximum client retention & achievement of revenues
Monitoring client’s portfolio performance and rendering sustained advisory services for securing high ROI
Proven track record of establishing systems/ procedures, thereby contributing in a major way towards augmented growth and profitability level
Fulfilling the compliance standards in Financial Planning, Asset Allocation and Product Sales and managing Delinquencies by ensuring proper Sales Process
Recruiting, training and ensuring seamless induction to the newly joined team members and managing attrition within the team
To ensure achievement of acquisition ,activation and other Cross sell targets .To also ensure achievement of sub targets within acquisition with a special focus on Premium segment customers
To ensure achievement of business and revenue targets attributed for the company.
Conduct performance reviews for effective monitoring and measuring of results.
Qualifications: Graduate/ MBA/PGDM in Finance


Exp: Min 3yrs
Strong in Java Development and React js, Springboot, Hibernate, SQL, MangoDB.
Experience with agile practices, quick iterations, and integration of regular feedback.
Good understanding of all aspects of the Software Development Lifecycle.
Quick learning skills and good.
communication skills.
Should be ready to work from office. Currently work from office.
This is an urgent requirement as the project starts soon.
- Key Technical Skills: Deep experience on Performance Engineering with understanding of Java/J2EE technologies.
- Experienced in defining and realizing end-to-end Technical Architecture for large scale real- time enterprise Ability to identify and define non-functional requirements and design systems to meet the same.
- Ability to review existing Architectures and identify Risks, Trade-offs, and share recommendations for addressing the identified
- Demonstrate strong understanding of cloud architecture considerations when scaling and tuning application deployments. Must have hands on experience working on any of the Cloud deployments on AWS or
- Good experience on leveraging APM tools to provide deep dive analysis on performance problems. Deep understanding of the dashboards which can be built for CIO level interactions. Must have relevant experience on APM tools like Dynatrace or AppDynamics.
- Experience in performance optimization of J2EE systems on any of different types of application servers - WebLogic, WebSphere, JBoss etc. Deep expertise in any one of the application servers is a
- Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment
- Experience on working on Performance Testing Projects. Fair understanding of Performance Testing tools - Apache JMeter /Gatling/ HP Load Runner for Load testing. Must be in a position to review Performance Testing programs and steer directions towards right Workload Model, appropriate Test and Monitoring Strategy, build performance models and derive at right Capacity Planning.
- Experience in Big Data Analytics like - Apache Kafka, Apache Storm, Apache Hadoop, Apache
- Good skills in RDBMS like: Oracle, MS-SQL, MySQL, Cassandra, and Mongo DB
- Exposure to Agile methodologies & Continuous Integration Tools
- Entrepreneur / Intrapreneur (someone who has built technology teams ground-up, built new solutions from scratch)
- Very sound understanding of technology and have a consultative
- Sound understanding of complex enterprise IT environment and issues faced by CIOs in the digital
- Excellent Pre-sales experience and have played a key role in winning business along with the sales
- Excellent communication, interpersonal, liaison and problem-solving skills with the ability to work in a multi-cultural environment
- Good negotiation skills
- Go getter and results oriented
- High energy level with ability to work well under pressure
- Good relationship building skills. Someone who enjoys CIOs trust and has an ability to develop relationships at all levels (technology teams) of the customer
Hiring Graphic Designer Interns
Responsibilities:
- Make different types of design layouts for social media using your skills.
- Web design layout & typography according to brand guidelines.
- Create designs for direct mailing, posters, logos, brochures, etc.
- Good communication skills with the ability to think creative concepts.
- Visualize and design the briefed upon requirements.
- Meeting timelines.
Skills: Photoshop, Premiere Pro, Illustrator, In Design
Location: Mumbai, Maharashtra ( Marol, Andheri)


React Native Application Developer
Job Description
- As a React Native Developer, your responsibility will include creating a suite of applications and improving the functions of applications in development.
- Experience in building a React or Native mobile app with traffic at scale
- Ability to architect, refractor and debug an app without disrupting users
- Proficient with mobile application life cycles
- Should have multiple apps deployed to the App Store, Google Play Store and deep knowledge of the distribution processes
- Understanding of unit and functional testing best practices.
- Should be able to dive into the source code of front end libraries to debug, patch and extend them when necessary
- Can take a defined software design and turn it into code.
- Understands how to optimize the delivery of code and assets (e.g., images, fonts) to a browser or device (e.g., lazy loading assets, using CDNs, caching, compression, etc.).
- Experience with React Js, React Native, JavaScript including DOM Manipulation and the JavaScript object model. Exp with integrated JSON is a must.
- Thorough understanding of React Native and its core Principles. Hands-on experience on React Native Framework at least 2 Years.
What you will do
- Working collaboratively in building products and services.
- Designing mobile-based features, impacting Customer's Digital Experience
- Taking ownership of the entire software development lifecycle for mobile application
- Collaborating with cross-functional teams to define design and add new features
- Ensuring the performance, quality and responsiveness of the applications.
- Understanding end-user requirements and use cases and translating them into a pragmatic and effective technical solution
Required Candidate profile
- Capability to perform both independently and in a team
- Ideal Candidate - Must be open to work on new technologies, versatile and capable of accepting new challenges.
- Good Knowledge of HTML5, CSS