Human Resource - Intern

Key Responsibilities

·      Design, build, and maintain efficient, reusable, and reliable Python automation scripts.

·      Consume, integrate, and manage external services using APIs (CRUD operations, JSON parsing).

·      Read, comprehend, and debug existing code to identify bottlenecks and fix bugs.

·      Interact with databases using SQL to extract and manipulate required data.

·      Maintain source code quality through Git version control and participate in code review workflows.

·      Clearly communicate logic, architectural choices, and technical roadblocks to the team.

Skill Requirements & Competencies

Non-Negotiable Skills

·      Aptitude & Logical Problem Solving: Exceptional ability to break down complex problems. The ability to explain the logic behind your code is strictly required.

·      Core Python Mastery: Deep understanding of decorators (e.g., writing execution time loggers), list/dictionary comprehensions, and advanced string operations. (would be good to know packages such as heapq or equivalent which aids problem solving using pre implemented data structures).

·      Concurrency & Parallelism: Practical experience with asyncio, multithreading, and multiprocessing, including knowing exactly when and why to use each.

·      APIs & Data Handling: Proven experience calling endpoints, parsing JSON data, and working with any standard API framework (e.g., FastAPI, Flask, Django REST).

·      SQL Database Skills: Intermediate ability to write SQL queries to fetch, filter, and manipulate data. NoSQL exposure is a good to have.

·      Code Comprehension & Debugging: Ability to jump into an existing codebase, understand its flow, and efficiently troubleshoot bugs.

·      Strong Communication: Must be able to articulate technical concepts, code, approach etc. clearly to both technical and non-technical stakeholders.

Intermediate Skills

·      Version Control (Git): Competent in creating/modifying repositories, branching, committing, pushing, and managing Pull Requests.

·      Command Line / Scripting: Intermediate proficiency in Bash/Shell scripting for environment navigation and basic OS-level automation.

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.

🌟 Job Opening: Business Development Manager (B2B – EdTech Curriculum Sales)

Company: KGISL – Million Genius Coders

Industry: Education Technology | K–12 Curriculum Solutions

Job Type: Full-Time | On-Field | Individual Contributor

Work Days: 6 Days/Week (Monday–Saturday)

Experience: 1–4 Years (EdTech / Institutional Sales Preferred)

North & Central TN: Vellore, Ranipet, Tiruvannamalai

South TN: Ramanathapuram, Kanniyakumari

💼 About the Role – What You’ll Do

As a BDM – Institutional Sales, you’ll drive growth by acquiring and onboarding schools (B2B segment) to adopt our flagship coding curriculum solutions. This is a pure field role focused on relationship-building, solution selling, and driving MoUs with school stakeholders.

🔧 Key Responsibilities

Conduct on-site visits to schools, meeting Principals, Management, and Key Decision Makers.

Deliver compelling product pitches and presentations for MGC’s NEP-aligned coding curriculum.

Manage the end-to-end sales cycle – from lead generation and demo to MoU closure and onboarding.

Coordinate with internal teams for delivery, trainer allocation, LMS access, and post-sale services.

Ensure compliance with the company’s Ops Policy, CRM standards, and field protocols.

✅ Who Should Apply

Proven experience (1–2 years) in EdTech / K–12 B2B sales / school curriculum sales.

Strong field sales discipline with CRM exposure.

Excellent communication in Tamil and English.

Strong technical understanding of curriculum-based solutions or EdTech offerings.

Willingness to travel extensively within the assigned region.

Self-driven, accountable, target-oriented mindset with strong follow-ups.

Opportunities to lead new curriculum launches and academic partnerships across India

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.  

You will be responsible for:

• Developing computer vision algorithms to detect key moments within popular online games
• Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
• Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
• Specifying exact requirements for training data sets, and working with analysts to create the data sets
• Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
• Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

• Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
• Experience using Python, TensorFlow, OpenCV and other computer vision tools
• Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
• Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
• Familiarity with AWS environments
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

We are looking for Software Developers for the product team in Pune/Gurugaon. We need immediate joiners.

Java Developer (3+ Years of Experience),

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• Must have hands-on in Java 8+, Spring, SpringBoot, JPA/Hibernate, and REST API.
• Must have experience in RDBMS (MySql, Oracle, etc.) or NoSQL (MongoDB, Cassandra, etc.).
• Good understanding of coding best practices, code optimization, code coverage, and performance tuning.
• Experience in Spring Cloud, Microservices, and Kafka is a plus
• Experience in DevOps (Docker, Kubernetes, CI/CD, Version Control) is a plus.
• Good understanding of Agile and Scrum methodologies.
• Excellent communication and interpersonal skills.

About Actionboard

https://www.myactionboard.com">Actionboard is comprehensive suite of tools designed to provide actionable insights to entrepreneurs and business people proactively and on demand. Apart from this, Actionboard also provides extensive automation tools to accountants that lets them save time and improve the quality of their work.

What you will do:

• Implement features from end-to-end across the stack
• Work with product managers to understand business requirements and choose appropriate solutions
• Participate and actively contribute to the technical and product discussions

Our tech stack:

1. Ruby on Rails
2. Sidekiq
3. Vue.js
4. PostgreSQL
5. Google Cloud Platform

We handle problems that involve huge amounts of data and apply a lot of machine learning techniques in addition to regular web development work.

Why work on Actionboard:

• Challenging work: Actionboard handles a large volume of data which turns boring day-to-days tasks into interesting challenges. There is also a huge scope for applying machine learning and data science techniques if that sort of thing interests you.
• Work culture: We are serious but we like to have fun. We work hard but not to the point of burnout nor do we ever do all-nighters. Our team is filled with smart, hard-working, diligent types with a can-do attitude when presented with challenges. We are an intentionally small and agile team.
• Growth potentail: We have a half-yearly review process where we make it clear what objectives are needed to be achieved in order to advance to the next level. Promotions and pay increases are based on skills acquired and work performed.

Technical skills are we looking for:

• HTML/CSS/JavaScript experience
• At least a year of experience working with Rails
• Working knowledge in SQL
• Experience in a Test Driven Development approach

How your growth trajectory will look like at Actionboard:

We are a small company with no bureaucracy where rewards follow results very quickly. Below is the ladder a new developer in our team climbs.

Programmer in Training ( 0 - 6 months experience)

• Learn fundamentals of developing a web application with rails
• No ownership expected. No work related initiatives expected.
• Work will be extensively reviewed. And detailed feedback will be given.
• Works on simple routine problems

Junior Programmer (6m to 12m)

• Strengthen fundamentals of ruby, javascript, sql, html, css
• No ownership expected. No work related initiatives expected.
• Work will be heavily reviewed. And detailed feedback will be given.
• Works on simple routine problems but turns around much faster than person in training

Programmer (12m to 18m):

• Work is reviewed with the occasional need for significant direction or implementation changes.
• Follows established patterns and approaches within existing code bases with ease.
• Co-owns a feature along with a Sr. Programmer
• Works mostly on clearly defined and scoped individual features or problems.

Senior Programmer (18 months to 3 years)

• Work doesn't need to be reviewed, but general direction may be.
• Fully capable of taking substantial features from concept to shipping as the sole programmer (alongside a designer).
• Can provide feedback on the work of junior programmers and programmers.
• Deep expertise within at least one programming environment.
• Basic proficiency in at least one additional programming environment.

Lead Programmer (3 years to 5 years)

• Work happens completely autonomously with no regular need for review.
• Fully capable of owning and running entire subsystems of work (e.g. entire inbound/outbound Tally Sync worklow).
• Helps set and maintain professional standards for the entire organization.
• Deep, substantial expertise in multiple domains. e.g. Design
• Capable of running and directing small teams for substantial projects.

Principal Programmer (5 years to 8 years)

• Fully capable of designing, owning, and running entirely new, novel systems (design user activity tracking systems)
• Capable of running and directing larger teams for large, long-running projects.
• Invents new concepts, pushes the whole organization forward regularly. (e.g. Report Builder)