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Oracle Fusion HCM Functional Consultant (Oracle workforce compensation and Talent Management)

 POSITION SUMMARY

·    7-9+ years experience in Oracle Cloud.

·    Must have experience in Oracle Fusion Cloud HCM Modules (Oracle workforce compensation and Talent Management).

·    End to end configuration of above Modules.

·    Create and update configuration books.

·    Support the preparation and execution of test scripts and resolve testing defects.

·    Create and update functional design documents.

·    Release upgrade testing.

·    Securities.

·    Good presentation and communication skills - Responsible for communicating and escalating project issues to the team leads.

·    Responsible for project deliverables from offshore for HCM Modules.

·   Exposure to structured software development life-cycle methodology.

·   Experience of working with multi-cultural teams in a geographically diverse environment.

·    Experience in creating workflow and security for the module.

·    Good to have experience in Redwood theme and Visual builder studio.

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

Role Summary

We’re seeking a highly skilled and self-motivated Senior Software Engineer who thrives in a startup environment. You will lead end-to-end development of key features, own architectural decisions, and ensure the smooth delivery of our product.

Mandatory Skill Sets/Expertise

• 5-6 years of experience in full-stack development, with a strong focus on the MERN / PERN stack (MongoDB, PostgreSQL, Express, React, Node.js) and AWS.

• Expertise in AWS cloud architecture and experience with serverless solutions (Lambda, DynamoDB, API Gateway).

• Proficiency in designing and implementing CI/CD pipelines using Git, Jenkins, Github actions, or similar tools.

• Proven experience leading and guiding a development team, with strong mentoring skills.

• Ability to work independently and manage deliverables without oversight, while thriving in a startup mentality.

• Strong problem-solving abilities with a proactive approach to addressing technical challenges.

• Experience with databases like PostgreSQL, MongoDB, or other NoSQL solutions along with ORM tools like Sequalize & Mongoose ORM

• Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

• Knowledge of Typescript for both frontend and backend development. • Experience with Docker and containerized applications.

• Familiarity with GRC (Governance, Risk, and Compliance) tools or SaaS products.

• Experience with other AWS services like ECS, CloudFormation, or RDS.

Key Responsibilities

• Lead and mentor a team of developers, driving best practices in coding and architecture.

• Take full ownership of modules, from design through deployment, and launch web apps singlehandedly if needed.

• Design, develop, and maintain web applications using the PERN / MERN stack (MongoDB, PostgreSQL, Express, React, Node.js) with a focus on scalability, security, and performance.

• Prepare high-level technical designs and architectural decisions, especially on AWS serverless architecture and microservices.

• Implement secure, reliable, and scalable solutions using AWS services • Design and manage CI/CD pipelines to ensure continuous integration and automated deployments.

• Optimize application performance through techniques like lazy loading, code splitting, and caching.

• Collaborate with cross-functional teams, including Product Management, to define features and user experience improvements.

• Ensure high code quality by adhering to SOLID principles, implementing comprehensive testing, and embedding observability into the application.

• Monitor and respond to application performance incidents, focusing on improving uptime and resilience.

• Proactively offer suggestions during retrospectives and work on enhancing team productivity metrics such as Lead Time, Deployment Frequency, and Mean-Time-to-Recovery

Lead Generation Specialist

Summary:

As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.

Key Responsibilities:

Lead Identification:

• Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
• Utilize tools and software to gather and organize lead data effectively.
• Develop a deep understanding of our target audience and market segments.

Lead Nurturing:

• Initiate contact with leads through email, phone calls, and other communication methods.
• Engage with leads to understand their needs and challenges.
• Provide relevant information and resources to educate and nurture leads through the sales funnel.

Data Management:

• Maintain accurate and up-to-date records of lead interactions and status in CRM software.
• Segment and categorize leads for personalized outreach.
• Monitor lead data for quality and completeness.

Lead Qualification:

• Assess and qualify leads based on predefined criteria.
• Collaborate with the sales team to ensure seamless handover of qualified leads.
• Schedule appointments and product demonstrations for qualified prospects.

Reporting and Analysis:

• Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
• Analyze data to identify trends and opportunities for optimization.

Qualifications:

·        Bachelor's degree in Marketing, Business, or a related field.

·        Proven experience in lead generation, preferably in a B2B or technology-related industry.

·        Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.

·        Strong communication and interpersonal skills.

·        Self-motivated with the ability to work independently and as part of a team.

·        Excellent organizational and time management skills.

·        Data-driven mindset with a focus on achieving targets and KPIs.

About the role

We are looking for a Product Manager with experience of shipping features in a fast-paced environment. The candidate will own products under one of the verticals- Micro-savings, Micro-insurance or Micro-credit. The candidate will closely work with product managers, engineers, designers, marketers and business folks to identify product insights, create the product vision, drive development, launch high-quality product experiences and continuously iterate.

What We are Looking For

• Have a minimum 2 years of Product Management experience (not to be confused with total work ex). You should have shipped products/features in the past. This is non-negotiable.
• Demonstrated ability to lead teams and work cross-functionally in a highly collaborative but fast, changing and ambiguous environment.
• Understands the consumer through past experiences, research, and market data and ensures laser focus on the consumer during product development.
• Ability to think out of the box and on your feet.
• Excellent product design skills with solid experience in creating wireframes, storyboards, user flows and process flows
• Strong business acumen
• Intuitive but data-driven combining power of analytics and heuristics with innovative customer validation techniques
• Ability to marshall consensus and sell product vision both internally and externally.

You should apply If

• 2-5 years of experience in product management.
• You're passionate about building the best possible user experience and you monitor your metrics to see whether you're delivering
• Experience managing a team and developing internet or media products and technologies would be highly preferred.
• Experience in managing fintech products is highly desirable.
• End-to-end product management experience with software/web technologies (e.g. on mobile).
• You are comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans
• You have empathy towards users and colleagues, are creative and excited by ideating/ building
• You have business acumen to appreciate and understand levers for business growth and profitability
• You seek high ownership, independent environments and feedback oriented cultures

• Extensive knowledge of linux kernel internals.
• Good knowledge of C programming language.
• Familiarity with any processor architecture, virtualization, storage and network management.
• Strong experience in debugging linux kernel mode
• Debugging experience across hardware and platform firmware.