HR

Example Responsibilities:

• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Develop monitoring and observability solutions for ML systems
• Collaborate with ML Engineers to establish best practices for optimized model deployment
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

• 5+ years of experience in software engineering with Python
• Experience with ML frameworks, particularly PyTorch
• Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia,Trainium)
• Proven experience building and operating AWS serverless architectures
• Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions
• Experience with containerization using Docker and orchestration tools
• Strong knowledge of RESTful API design and implementation
• Proficiency in writing good quality & secure code and be familiar with static code analysis tools
• Excellent analytical, conceptual and communication skills in spoken and written English
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Great to have Experience and Qualifications:

• Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
• Experience working in regulated industries with strict compliance requirements for cloud-native solutions

Money Honey Financial Services has an open position for a well-qualified Software developer, to be filled immediately. If you have a combination of deep experience with ASP.Net, MVC, C#, JQuery, JavaScript experience with databases and domain-driven application systems, a history of working successfully in small innovative software teams, and a flexible, upbeat approach to working with colleagues. 

Job Description:

● Strong hands-on technical expertise on Microsoft ASP.Net, MVC, C#, JavaScript, Jquery and SQL Server

● Exposure to SDLC tools, such as: Visual Studio, JIRA, Git including CI/CD and test automation

● Leading the development team in the design, development, coding, testing and implementation of IT applications in on-prem and cloud environment.

● Proficient in the software development lifecycle and underlying processes. Exposure to Agile methodologies is very useful

● Strong communication skills both oral and written to handle team, client and management levels.

● Work with business teams in understanding and prioritizing the requirements for future releases.

● Developing standards and procedures to ensure that software quality standards are met and consistent.

● Proven track record in designing and delivering technical solutions

● Strong management experience particularly managing multiple application development teams, including L1 and L2 support.

● Confident, resourceful and transparent.

About Company: Money Honey Financial Services Pvt Ltd. is a one-stop shop for information, advice as well as transaction execution of financial services. We offer Mutual Fund, Fixed Deposit, Govt Bonds, Public Issue of NCD, IPO, P2P, etc.. Servicing more than 75,000 clients with the help of 150-member team.

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.

As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.

Senior iOS Developer Job Description:

We are seeking a skilled and experienced Senior iOS Developer with a minimum of 3 years of professional experience in iOS app development. The ideal candidate will possess a strong 

background in the Swift programming language and possess basic knowledge of SwiftUI and GraphQL.

Responsibilities:

1. Develop high-quality and robust iOS applications using Swift.

2. Collaborate with cross-functional teams, including designers and backend developers, to

implement and integrate features and functionality into iOS apps.

3. Participate in the entire app development lifecycle, from concept and design to testing,

deployment, and maintenance.

4. Identify and troubleshoot bugs, performance issues, and other technical problems in iOS

applications.

5. Stay up to date with the latest iOS development trends, tools, and technologies, and

actively contribute innovative ideas to enhance app performance and user experience.

6. Conduct code reviews and ensure adherence to coding standards and best practices.

7. Collaborate with the QA team to conduct thorough testing and ensure the delivery of

high-quality, bug-free iOS applications.

8. Continuously optimize and improve app performance, responsiveness, and efficiency.

9. Keep abreast of industry trends and advancements in iOS development, evaluate 

and recommend new tools and technologies to enhance the development process.

Requirements:

1. Bachelor’s degree in computer science, Software Engineering, or a related field (or

equivalent work experience).

2. Minimum of 3 years of professional experience in iOS app development, with a strong

emphasis on Swift programming language.

3. Extensive experience with Swift and knowledge of UIKit.

4. Proficiency in using XCode, Interface Builder, and other iOS development tools.

5. Solid understanding of iOS app architecture patterns (e.g., MVVM) and design

principles.

6. Strong problem-solving skills and the ability to debug and resolve complex issues.

7. Familiarity with REST, GraphQL APIs and integrating backend services into iOS

applications.

8. Experience with version control systems, such as Git.

9. Ability to work effectively both independently and as part of a team, with excellent

communication and collaboration skills.

Type: Full time

Experience: 3+ years (Required)

Notice Period: 0-30 days (Preferred)

Location: Chennai

Salary package:18-22LPA

Work timing: 3PM - 12AM

Job Description:

• Role is of Software Sales Manager
• The role requires the person to hunt and open new accounts for Company’s Returns Inventory Management Solution.
• Complete Ownership of Sales Cycle including the following:
  • Identifying opportunities
  • Managing the pipeline
  • Working with the marketing team to launch marketing campaigns
  • Managing the relationship with the client
• To be Successful, the candidate should have experience in Software/Consultative Solution Sales, should have done concept selling, especially in the retail industry
• Should have a understanding of IT Landscape in an enterprise, understanding of Logistics Supply chain, especially returns could be an added advantage
• The role requires the person to be quick thinker, innovative problem solver and ability to think on his feet will come in good stead.

Responsibilities

• Hunting New Accounts
• Business Development
• Enterprise Account & Sales Management – grow SOW
• Manage the entire sales cycle
• Maintain High level of customer satisfaction
• Pipeline management, Accurate Sales forecasting, Sales Negotiations and Business Closure.
• Exceeding Monthly and Quarterly Sales Targets

Desired Candidate Profile

• 3-5 years Sales Experience (preferable -Software, Consulting, Solution Sales, Concept Sales)
• Excellent Communicator, Presentation and writing Skills
• Business Development & Hunting New Accounts in SW/Consulting Solution Sales, Should know Concept Selling.
• Entrepreneurial mind set, Problem solver, quick thinker, Passionate, self-motivated, a self-starter with innovative mindset
• Willing to work in a fast-paced environment, where you need to be able to adapt effectively to changes.
• Excellent time management and prioritization skills.
• Experience in Supply Chain, Logistics Solutions may be an added advantage

Key skills:

Business Development, Enterprise Sales, Consulting Selling experience, Concept Selling, Solution Sales, Software Sales

Salary: 8 to 12 lakhs P.A.

Functional Area: Sales & Business Development, Hunting New accounts, Enterprise Account & Relationship Management

Role: Enterprise Sales & Business Development Manager

Education:

MBA or Equivalent with 3-5 years’ experience in SW/Consulting Solution Sales, Concept selling

Location: Mumbai, Delhi,