ORM Specialist

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Key Deliverables:

● We're looking for a Partner Relations

● This role involves building and strengthening our connections with investors to

guarantee their contentment and active engagement.

● Act as the go-to contact for any investor-related questions or correspondence.

● Maintain robust relationships with our current investors, ensuring they're well-informed

about how their investments are performing through regular updates and reports.

● Formulate and execute customer acquisition and retention strategies.

● Organise and manage investor events, meetings, and presentations, whether online or

face-to-face, to conduct investment awareness programs.

● Work closely with other departments, such as finance, legal, and management.

● Keep a pulse on market trends, competitor moves, industry norms and regulatory

updates.

Key Competencies and skills:

● Good understanding of Finance and Financial Products

● Outstanding ability to interact and communicate with others.

● Willing to work flexible hours, focusing on customers' needs.

● Dedication to continually learn and adapt in a rapidly changing investment scene.

● Excellent skills in both writing and speaking, capable of explaining complex financial

topics simply and directly.

● Excellent at building relationships and interacting with people, always putting the

customer first in managing investor relations.

● Capable of juggling multiple tasks and setting priorities in a busy setting.

● Attention to detail and has a keen ability to analyse and solve problems.

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?

At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.

As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.

Key job responsibilities:

● Learn to implement large language model solutions using Amazon Web Services (AWS)

● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)

● Support prompt engineering implementation

● Assist in fine-tuning pipelines for specific use cases

● Learn to build basic generative AI solutions for text and images

● Help implement RAG architectures

● Support MLOps/LLMOps practices

● Document implementations and learnings

● Assist in testing generative AI solutions

Wissen Technology is now hiring for Java Developer with hands on experience in Core Java, multithreading, algorithms, data structure and SQL skills .

Required Skills:

• Experience - 5 to 10 years.
• Experience in Core Java 5.0 and above, CXF, Spring.
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Job Summary:

We are seeking a detail-oriented and experienced Accountant with hands-on expertise in Zoho Books to manage and streamline our financial operations. The ideal candidate should have a strong understanding of accounting principles and be proficient in using Zoho Books for daily financial management, reporting, and compliance.

Key Responsibilities:

• Manage day-to-day accounting tasks using Zoho Books, including invoicing, expense tracking, bank reconciliations, and ledger entries.
• Prepare monthly, quarterly, and annual financial reports.
• Ensure accurate and timely recording of all financial transactions.
• Monitor accounts receivable and payable.
• Handle GST/VAT and other statutory compliance reporting within Zoho Books.
• Coordinate with auditors and assist in audits.
• Automate financial workflows and improve process efficiency using Zoho Books features.
• Collaborate with internal teams for budgeting and cost tracking.
• Maintain up-to-date knowledge of financial regulations and Zoho Books updates.

Requirements:

• Bachelor’s degree in Accounting, Finance, or a related field.
• Proven work experience as an Accountant, preferably with 2+ years using Zoho Books.
• Solid knowledge of accounting principles and taxation.
• Proficient in MS Excel and Zoho Books.
• Excellent attention to detail and organizational skills.
• Strong analytical and problem-solving abilities.
• Ability to work independently and as part of a team.

• B.Tech in Computer Science/Information Technology or related field with 5-7 years of relevant experience
• Strong hand in Data Structures and Algorithms
• Proficiency in Java language, Collection & Maps, Exceptional Handling, Object-Oriented Concepts, Design Patterns, Multithreading, and File I/O
• Expertise in Mobile App Automation with Espresso, Appium and/or XCUITest is a must
• Experience in Android Activity life cycles, Android Versions- Builds and apks, App development
• Having solid understanding of tools - jUnit, TestNG, Git Commands, Jenkins Job Setup, Gradle, Maven, and CI/CD
• Candidate with knowledge of Swift, XCUITest, XCUI Tests Scripting, Test Framework Knowledge, Scheme Creation, Cloud Device Management, XCUI Performance and Profiling, XCUI Coverage, SonarCube and Xcode is preffered
• Decent experience in Server Automations, Rest Services, and Controllers, Server Testcases, Jar/war Deployment, SpringBoot, Backend architecture, MySQL/NoSQL, mongo, Redis, Zookeeper

• Own front-end experience activities including UI design, development, testing, and support of complex web and native applications.
• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Developing and implementing highly responsive user interface components using React concepts.
• Writing application interface codes using JavaScript following React workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.
• Produce applications that provide measurable business values.

• Previous experience working as a React Developer.
• Solid understanding of website and native application development principles
• An understanding of React Native best practices and a commitment to following them.
• Experienced in using Mobile Views on iOS and Android
• Good understanding of MVC frameworks
• Ability to create and maintain continuous integration and delivery of React.js/React Native applications.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of React, React Native
• Experience with user interface design.
• Knowledge of how to build and consume APIs and the basics of internet communication protocols and web frameworks
• A knack for writing clean, readable React-Native code
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.

Roles and Responsibilities

The Ideal Candidate with his Bachelor's Degree in Marine Engineering, Electrical / Instrumentation Engineering, Automation, or an adjacent field with experience in Maritime Systems is also welcome. Alternatively experienced electrical officers with maritime experience/ Naval experience with exposure to the above areas are welcome

Prior work experience in the Maritime Industry preferably with strong competence in some or all of the below is desirable :

• Marine Automation, Marine Electrical Systems
• Communication Systems, NAVCOM systems
• Experience in working with PLCs, RTU, Gateway, Edge Devices/ Data Loggers
• Systems operation and maintenance
• In-Depth knowledge of maintenance, commissioning of Marine Electrical and NAVCOM Systems Ability to carry out in-depth troubleshooting and guide vessels for effective case resolutions
• Work Experience as an Electrical/ Technical Superintendent will be a Plus
• Prior experience in the review of the vessel's drawings and machinery specification a must
• Carry out vessel inspection visits as required, Supervise retrofit installations during digital automation & Smart Ship Platform implementation.

A challenging role with one of the fastest-growing maritime digital automation startup.

• The candidate will be driving global delivery, conducting ship inspection to identify vessel machinery from which data signals can be fetched.
• The candidate must have past experience in data telemetry from various machinery such as Main Engine, DG Sets, Boiler, Flowmeters, Emission, Emissions, Ballast, etc.
• Candidate must have experience of working with data signals RS485 NMEA, 4..20 mA, 0..10 V, etc.
• The candidate will work in close coordination with technology specialists, data scientists, and chief engineers with experience in vessel and voyage performance management.
• Prior experience with various control systems, especially for: data telemetry, gateway configuration, working with different PLCs such as Siemens, Alan Bradley, etc.
• Candidates with experience in only navigation & communication systems are also welcome.
• Candidates will be working on cutting edge technology & new age maritime business practices to come up with solutions for the global maritime industry.
• Any experience across electrical systems of the vessels and awareness of various machinery parameters are welcome.
• Awareness & knowledge of power generation, automation systems, reefer container monitoring

, experience in PMS is an added advantage.

Candidates will get tremendous learning experience of innovative solutions & emerging business models in the maritime vertical.

• Consulting & Advisory positions are also available in addition to full-time positions.
• Work from home also available.