Search Engine Optimisation

Review Criteria

• Strong Oracle Integration Cloud (OIC) Implementation profile
• 5+ years in enterprise integration / middleware roles, with minimum 3+ years of hands-on Oracle Integration Cloud (OIC) implementation experience
• Strong experience designing and delivering integrations using OIC Integrations, Adapters (File, FTP, DB, SOAP/REST, Oracle ERP), Orchestrations, Mappings, Process Automation, Visual Builder (VBCS), and OIC Insight/Monitoring
• Proven experience building integrations across Oracle Fusion/ERP/HCM, Salesforce, on-prem systems (AS/400, JDE), APIs, file feeds (FBDI/HDL), databases, and third-party SaaS.
• Strong expertise in REST/JSON, SOAP/XML, WSDL, XSD, XPath, XSLT, JSON Schema, and web-service–based integrations
• Good working knowledge of OCI components (API Gateway, Vault, Autonomous DB) and hybrid integration patterns
• Strong SQL & PL/SQL skills for debugging, data manipulation, and integration troubleshooting
• Hands-on experience owning end-to-end integration delivery including architecture reviews, deployments, versioning, CI/CD of OIC artifacts, automated testing, environment migrations (Dev→Test→Prod), integration governance, reusable patterns, error-handling frameworks, and observability using OIC/OCI monitoring & logging tools
• Experience providing technical leadership, reviewing integration designs/code, and mentoring integration developers; must be comfortable driving RCA, performance tuning, and production issue resolution
• Strong stakeholder management, communication (written + verbal), problem-solving, and ability to collaborate with business/product/architect teams

Preferred

• Preferred (Certification) – Oracle OIC or Oracle Cloud certification
• Preferred (Domain Exposure) – Experience with Oracle Fusion functional modules (Finance, SCM, HCM), business events/REST APIs, SOA/OSB background, or multi-tenant/API-governed integration environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Oracle Integration Cloud (OIC)?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is seeking an experienced OIC Lead to own the design, development and deployment of enterprise integrations. The ideal candidate will have atleast 6+years of prior experience in various integration technologies, with a good experience implementing OIC integration capabilities. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Lead the design and delivery of integration solutions using Oracle Integration Cloud (Integration, Process Automation, Visual Builder, Insight) and related Oracle PaaS components.
• Build and maintain integrations between Oracle Fusion/ERP/HCM, Salesforce, on-prem applications (e.g., AS/400, JDE), APIs, file feeds (FBDI/HDL), databases and third-party SaaS.
• Own end-to-end integration delivery - from architecture/design reviews through deployment, monitoring, and post-production support.
• Create reusable integration patterns, error-handling frameworks, security patterns (OAuth2, client credentials), and governance for APIs and integrations.
• Own CI/CD, versioning and migration of OIC artifacts across environments (Dev → Test → Prod); implement automated tests and promotion pipelines.
• Define integration architecture standards and reference patterns for hybrid (cloud/on-prem) deployments.
• Ensure security, scalability, and fault tolerance are built into all integration designs.
• Drive performance tuning, monitoring and incident response for integrations; implement observability using OIC/OCI monitoring and logging tools.
• Provide technical leadership and mentorship to a team of integration developers; review designs and code; run hands-on troubleshooting and production support rotations.
• Work with business stakeholders, product owners and solution architects to translate requirements into integration designs, data mappings and runbooks

Ideal Candidate

• 5+ years in integration/enterprise middleware roles with at least 3+ years hands-on OIC (Oracle Integration Cloud) implementations.
• Strong experience with OIC components: Integrations, Adapters (File, FTP, Database, SOAP, REST, Oracle ERP), Orchestrations/Maps, OIC Insight/Monitoring, Visual Builder (VBCS) or similar
• Expert in web services and message formats: REST/JSON, SOAP/XML, WSDL, XSD, XPath, XSLT, JSON Schema
• Good knowledge of Oracle Cloud stack / OCI (API Gateway, Vault, Autonomous DB) and on-prem integration patterns
• SQL & PL/SQL skills for data manipulation and troubleshooting; exposure to FBDI/HDL (for bulk loads) is desirable
• Strong problem-solving, stakeholder management, written/verbal communication and team mentoring experience

Nice-to-have / Preferred:

• Oracle OIC certification(s) or Oracle Cloud certifications
• Exposure to OCI services (API Gateway, Vault, Monitoring) and Autonomous Database
• Experience with Oracle Fusion functional areas (Finance, Supply Chain, HCM) and business events/REST APIs preferred.
• Background with SOA Suite/Oracle Service Bus (useful if migrating legacy SOA to OIC)
• Experience designing multi-tenant integrations, rate limiting/throttling and API monetization strategies.

Job Title: Sr. ETL Test Engineer

Experience: 7+ Years

Location: Gurgaon / Noida / Pune (Work From Office)

Joining: Immediate joiners only (≤15 days notice)

About the Role

We are seeking an experienced ETL Test Engineer with strong expertise in cloud-based ETL tools, Azure ecosystem, and advanced SQL skills. The ideal candidate will have a proven track record in validating complex data pipelines, ensuring data integrity, and collaborating with cross-functional teams in an Agile environment.

Key Responsibilities

• Design, develop, and execute ETL test plans, test cases, and test scripts for cloud-based data pipelines.
• Perform data validation, transformation, and reconciliation between source and target systems.
• Work extensively with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and related Azure services.
• Develop and run complex SQL queries for data extraction, analysis, and validation.
• Collaborate with developers, business analysts, and product owners to clarify requirements and ensure comprehensive test coverage.
• Perform regression, functional, and performance testing of ETL processes.
• Identify defects, log them, and work with development teams to ensure timely resolution.
• Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and contribute to continuous improvement.
• Ensure adherence to data quality and compliance standards.

Required Skills & Experience

• 5+ years of experience in ETL testing, preferably with cloud-based ETL tools.
• Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure SQL.
• Advanced SQL query writing and performance tuning skills.
• Strong understanding of data warehousing concepts, data models, and data governance.
• Experience with Agile methodologies and working in a Scrum team.
• Excellent communication and stakeholder management skills.
• Strong problem-solving skills and attention to detail.

Preferred Skills

• Experience with Python, PySpark, or automation frameworks for ETL testing.
• Exposure to CI/CD pipelines in Azure DevOps or similar tools.
• Knowledge of data security, compliance, and privacy regulations.

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modeling on-chain behavior, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Key Responsibilities:

● Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.

● Project Management: Lead the end-to-end implementation , ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.

● Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging platform. Utilize process mapping and data analysis to drive continuous improvement.

● Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration. Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.

● Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.

● Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.

● Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.

Qualifications:

● Minimum of 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.

● Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.

● Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.

● Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.

● Proven expertise in financial operation processes and related software solutions is a plus

● Proficiency in developing business intelligence solutions or with low-code tools is a plus

Why Join ?

● Opportunity to work with a cutting-edge financial technology company.

● Collaborative and innovative work environment.

● Competitive compensation and benefits package.

• ● Professional development and growth opportunities.
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• Must have 3+ years of project/program management experience in Financial Services/Banking/NBFC/Fintech companies only.
• Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets
• Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.
• Experience in process analysis, optimization, and mapping for operational efficiency.
• Strong client-facing communication and stakeholder management capabilities.
• Good expertise in financial operations processes and workflows with proven implementation experience.

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
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• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
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• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.