Human Resources Professionals to be Placed at a Canadian Based Company

• Strong Social Media Manager Profile
• Mandatory (Experience 1) – Must have 1+ years of experience in social media management.
• Mandatory (Experience 2) – Must have proven experience managing content for Instagram and YouTube.
• Mandatory (Core Skills 1) – Must have experience in coordinating with video editors/graphic designers to deliver engaging content.
• Mandatory (Core Skills 2) – Must have excellent caption writing skills and ability to create engaging, trend-driven content.
• Mandatory (Company) - Product Startup Companies OR Highly Preferred - Online Gaming Companies
• Mandatory (Location) - Candidate must be based out of Mumbai

Preferred Companies

1. Dream 11 2. Mobile Premier League (MPL) 3. PokerBaazi 4. Zupee 5. Probo 6. Games 24x7 7. Winzo 8. Paytm First Games 9. Junglee Games 10. Adda52 11. My11Circle 12. RummyCulture/Rummy

Job Title: PHP/Laravel Developer with JavaScript (3–10 Years Experience)

Department: Engineering

Industry: Insurance / Fintech

Employment Type: Full-Time, Permanent

Job Summary

We are looking for an experienced PHP/Laravel Developer with strong JavaScript skills to work across the full stack. You will build scalable backend systems, interactive frontends, robust APIs, and use modern AI tools to speed up development. This role involves backend coding, frontend development, database design, and full-stack integration.

What You’ll Be Doing

1. Backend Development

• Build reliable PHP applications and REST APIs
• Write clean, maintainable Laravel code
• Create REST APIs and work with GraphQL when required
• Work with microservices and Docker-based environments
• Perform code reviews and maintain coding best practices

2. Frontend Development

• Develop responsive and modular web UIs using JavaScript frameworks
• Build interactive components using React, Vue, or Angular
• Work with modern CSS frameworks and preprocessors
• Implement SPA features like routing & state management
• Ensure browser compatibility and mobile responsiveness

3. Database Work

• Design database schemas for MySQL, PostgreSQL, MongoDB, Redis
• Write optimized SQL queries via Eloquent ORM or Query Builder
• Implement indexing and performance optimization
• Work with SQL & NoSQL databases
• Manage migrations and ensure database stability

4. AI Tools & Productivity

• Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine)
• Integrate AI APIs (OpenAI, Claude) into applications
• Build AI-powered features and automations
• Use AI tools for debugging, refactoring, and code optimization

5. Full-Stack Integration

• Connect frontend and backend layers smoothly
• Implement authentication and authorization flows
• Manage client-server data flow and API integrations
• Work with state management across the stack
• Ensure consistent and seamless user experiences

Job Requirements

Must-Have (3–10 Years Experience)

Backend Skills

• Strong experience with PHP 8+ & Laravel
• Eloquent ORM, Query Builder, Blade, Middleware, Events
• API development & authentication
• Redis/Memcached caching
• Queue management (Laravel Queues, Horizon)
• Working knowledge of Node.js

Frontend Skills

• Strong JavaScript (ES6+, async/await, modules)
• React / Vue / Angular
• State management (Redux, Vuex, NgRx)
• Build tools: Webpack, Vite, Laravel Mix
• CSS3, HTML5, Sass/Less or CSS-in-JS
• Responsive, mobile-first development

Database Skills

• MySQL, PostgreSQL, Redis; MongoDB is a plus
• Schema design, optimization, indexing
• Migrations, normalization, performance tuning

AI Tools Experience

• Hands-on experience with coding assistants (Copilot, Cursor, Tabnine)
• Experience integrating AI APIs (OpenAI, Claude, etc.)
• Using AI tools for debugging & code improvement
• Basic understanding of prompt engineering

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

What we are looking for in our Frontend Engineering Manager:

• You'll be responsible for managing frontend projects from conception to completion, ensuring their scalability and impact.
• Collaborate with designers to create visually appealing solutions while ensuring quality and performance are not compromised, providing expertise in front-end technologies, interactions, and optimizations.
• Maintaining close collaboration with key stakeholders, particularly in marketing, you'll facilitate communication essential to project success.
• Technical expertise is essential. Our frontend engineering team is distinguished by its hands-on coding proficiency.
• You'll thrive in our dynamic, fast-paced environment, demonstrating a passion for continuous learning and the ability to mentor others.

What we expect from the candidate:

• 8 (Min) to 10 (Max) years of experience in front-end development, including at least 2 years in a managerial role.
• Experience with frontend technologies such as NextJS, ReactJS, and TypeScript is preferred.
• Proficiency in frontend technologies such as HTML, CSS, and JavaScript,
• Possess a strong grasp of grid systems, responsive web design (RWD), reflow principles, and mobile interactions, with the ability to implement dynamic elements such as GIFs, animations, videos, and parallax effects to enhance landing page experiences.
• Exceptional skills in system design and architecture and cloud hosting solutions, enabling the creation of robust front-end solutions.
• Prior experience in SaaS or product-based companies is highly desirable.
• A Bachelor's/Master's degree in Computer Science or a related field is required.

• Plan and execute all digital marketing efforts, including SEO/SEM, marketing databases, email, social media, and display ads.
• Create, manage, and improve our social media presence.
• All digital marketing efforts should be measured and reported on, and goals should be evaluated (ROI and KPIs)
• Identify patterns and insights, and then improve your spending and performance based on them.
• Consider fresh and innovative growing techniques.
• Experiments and conversion tests should be planned, executed, and measured.
• Work with internal teams to develop landing pages and improve the user experience.
• Use your analytical skills to assess the entire consumer experience across numerous channels and contact points.
• Conversion points are measured and user funnels are optimized.
• Collaborate with other vendors and agencies.