PHP Developer in CodeIgniter

About us

We're Inferentics , an early-stage B2B EdTech startup building AI-powered exam analytics infrastructure for CBSE schools across India. Our core product ingests student exam data and turns it into diagnostic insights and recommended actions for teachers, HODs, and principals.

We have a live product, real school partners, and real data. Now we're building the team that takes us to scale.

About the role

We're looking for a Senior AI Engineer who can also operate as the technical lead for our small engineering team. This is a founding-team role. You'll set the technical direction, ship features fast, and work directly with the PM and leadership on what gets built and how.

This is not a pure IC role. You'll be the senior-most engineer in the room, which means you own the architecture, mentor the team, and are the bridge between product and engineering.

Responsibilities

• Lead the engineering team: set technical direction, review code, unblock junior engineers, and create a culture of high ownership and fast shipping
• Build and own the AI pipeline: from prompt engineering and LLM integration to fine-tuning and model evaluation
• Ship product, fast: work closely with the PM to scope features, make build-vs-buy calls, and get things into production without unnecessary overhead
• Design scalable backend systems: APIs, data pipelines, OCR and document processing workflows, all built for the school-scale data volumes we're working with
• Think about scale while moving at startup speed: architecture decisions now need to hold up as we expand across hundreds of schools
• Influence the roadmap: you'll have a seat at the table on what features get prioritised and how we evolve the product

What we're looking for

• At least 5 years of software engineering experience, with at least 2 years in AI/ML engineering roles
• Hands-on experience building and shipping LLM-powered features in production: prompt engineering, RAG, fine-tuning, evaluation pipelines
• Strong Python backend skills; experience with FastAPI or similar; comfort with data-heavy workloads
• Experience in a tech lead or senior IC role: you've mentored engineers and driven technical decisions, not just executed them
• High ownership, zero-to-one mentality: you've built systems from scratch and know what good looks like at an early stage
• Comfort working directly with product and business stakeholders, not just engineering

Good to have

• Experience at an AI-first company or EdTech product where AI is the core. 
• Worked on OCR, document processing, or exam/assessment data pipelines
• Frontend exposure (React / TypeScript) — we're a small team and full-stack flexibility helps

Why choose us

• You'll be the technical anchor of a founding-stage team.
• You'll have direct influence on model strategy and product roadmap, not just implementation
• Small team means no bureaucracy, no waiting for approvals, no committees
• We believe in compensating for what good talent deserves.

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

We are looking for Senior-level of Paid Media Expert. You have to work for a single/Multiple ecommerce brand or at a digital marketing agency where they handle international clients and manage the team. You will need to analyzing campaign performance and making optimizations. You need to install tracking pixels. 

We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.

Key Responsibilities:

• Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
• Design and deploy serverless applications using AWS Lambda and API Gateway.
• Build and manage RESTful APIs and microservices.
• Implement CI/CD pipelines for efficient and secure deployments.
• Work with Docker to containerize applications and manage container lifecycles.
• Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
• Design efficient database schemas and write optimized SQL queries for PostgreSQL.
• Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
• Write unit, integration, and performance tests to ensure code reliability and robustness.
• Monitor, troubleshoot, and optimize application performance in production environments.

Required Skills:

• Strong proficiency in Python and Python-based web frameworks.
• Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
• Sound knowledge of microservices architecture and asynchronous programming.
• Proficiency with PostgreSQL, including schema design and query optimization.
• Hands-on experience with Docker and containerized deployments.
• Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
• Familiarity with API documentation tools (Swagger/OpenAPI).
• Version control with Git.

Key Responsibilities

• Design and Build complicated Workflow
• Understanding the user persona and deliver slick experience
• Experience in JavaScript (ReactJS / Redux) React Native, HTML, CSS, JQuery, HTTP
• Strong understating of XML, JSON, DOM, and w3c standards
• Providing technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support
• Be an Interface with Stockholder sand architects to create technology specifications from business requirements for one or more modules within the project
• Responsible to prepare the technical design of the components within the module (one or more of client/web presentation tier, server tier, data access and data model, integration component, package function customization)
• Proficient in articulating the pros and cons of using a certain technology stack or component or design pattern versus another to the clients and project team and drives selection of technologies, designs to come up with the optimal architecture
• Drives the performance tuning, re-design and re-factoring for a module
• Contributes to designing and implementing the build, release process as well as system configuration and deployment characteristics of the application
• Implements (hands-on) the module components based on prevailing Framework and Open-source standards & its best practices.
• Mentors the team (people working on the module and other project team members) on technology concepts and best practices for design, implementation and other processes

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions

Skills And Qualifications

• Practical knowledge and understanding of web applications.
• 3+ years of good hands-on experience in Python, with knowledge of Django
• Good hands-on experience in SQL Database (MYSQL / Postgres)
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools GIT.
• Has experience of working in an Agile Environment. Fluent in English (written and oral) Fluency in a second language is preferred.
• Comfortable working remotely with great communication skills for a remote work environment.

Bonus Qualifications

• Knowledge of any cloud. ( Especially Azure )