Lead Generation

Job Profile: Entrepreneur in Residence (EIR) at Founders Office

Location: Chembur, Mumbai

Reports to: Founders

Job Type: Full-Time

Job Description

Position Overview: AXS Solutions is seeking a dynamic and driven Entrepreneur in Residence (EIR) to join the Founders Office. The ideal candidate will work closely with the founders to drive the growth and expansion of AXS in various dimensions, including business development, strategic partnerships, innovation, and operational efficiency. This role offers a unique opportunity to be at the heart of AXS’s growth strategy, working on high-impact projects and initiatives.

Key Responsibilities:

1. Strategic Growth Initiatives:

• Identify and develop new business opportunities and markets for expansion.
• Collaborate with the founders to define and implement strategic growth initiatives.
• Conduct market research and analysis to inform strategic decision-making.

1. Business Development:

• Lead efforts to establish and maintain strategic partnerships and alliances.
• Explore new revenue streams and develop plans to capitalize on them.
• Assist in negotiations and closing deals with key partners and clients.

1. Innovation and Product Development:

• Work with cross-functional teams to drive innovation and product development.
• Identify emerging trends and technologies that could impact AXS’s business.
• Develop and oversee pilot projects to test new ideas and concepts.

1. Operational Efficiency:

• Analyze and improve existing business processes to enhance efficiency and effectiveness.
• Develop and implement operational strategies to support growth objectives.
• Monitor key performance indicators (KPIs) and metrics to track progress and identify areas for improvement.

1. Leadership and Mentorship:

• Mentor and support junior team members and emerging leaders within the organization.
• Foster a culture of innovation, collaboration, and continuous improvement.

Key Skills and Qualifications:

• Education: Bachelor’s degree in Business, Economics, Engineering, or a related field; MBA or advanced degree preferred.
• Experience: Minimum of 3-7 years of experience in business development, strategy, consulting, or a related field; experience in a startup environment is a plus.
• Entrepreneurial Mindset: Proven track record of entrepreneurial success, either as a founder or in a leadership role in a high-growth company.
• Strategic Thinking: Strong strategic and analytical thinking skills, with the ability to identify and capitalize on growth opportunities.
• Business Acumen: Deep understanding of business operations, financial planning, and market dynamics.
• Leadership: Strong leadership and mentoring skills, with the ability to inspire and motivate teams.
• Communication: Excellent verbal and written communication skills, with the ability to effectively present ideas and influence stakeholders.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.

Personal Attributes:

• Proactive and Results-Driven: Takes initiative and is focused on achieving tangible results.
• Innovative: Creative thinker who is always looking for new ways to solve problems and create value.
• Collaborative: Team player who works well with others and fosters a collaborative work environment.
• Resilient: Able to handle setbacks and challenges with a positive attitude and persistence.

Experience: 2 - 4 yrs

CTC: As per industry std.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Responsibilities

• Drive new business and build strong relationships with existing clients.
• Grow and drive profitability in the unit numbers.
• Common Point of contact for Client and Agency.
• Taking client briefing and de-briefing the agency spocs.
• Ideation of digital campaigns basis business requirements /trendings.
• Presentation of thoughts to senior management.
• Handling coordination of digital media plans.
• Ensuring the execution as per the plan.
• Task Planning and management for the team.
• Address client queries effectively and in a timely manner.
• Liaison for requirements related to any campaigns.
• Reporting - Campaign /website / social.
• Keep a track of campaign deliverables wrt to committed numbers.
• Monthly review preps.

Requirements

• Presentation Analytics - Adwords/ Google Analytics/Facebook Ads/ Programmatic.
• Communication - Oral / Written.
• In-depth understanding of online marketing tools and social media platforms.
• Ensuring timely approvals from clients.
• Invoice processing and closures with Finance.
• Good knowledge of 360 Digital Marketing Aspects.
• Cross function Team Management.

Requirements:

• 3+ years’ experience under your belt developing performance-critical applications that run in a production environment using Node.Js
• Expertise in Database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in common Cloud technologies, AWS/GCP Knowledge of CI/CD tools and workflows.
• Knowledge in one or more of the following: NoSQL (especially, but not only Redis), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ)
• Good stakeholder management skills, with an ability to build trust and rapport with internal and external stakeholders
• It is good to have knowledge of Kubernetes and Docker and related deployment technologies.
  
  

Roles & Responsibilities:

• Write well-designed, testable, efficient, and high-quality code.
• Design (LLD & HLD) and architect technical solutions for the business problems of a large-scale system.
• Prepare and produce releases of software components.
• Support continuous improvement by investigating alternatives and technologies.
• Contribute to all phases of the development lifecycle
• We believe leadership comes through ownership and so we love people who take ownership of their work and lead by example

• Develop scalable, secured, and efficient backend for the website, mobile app, and browser extension.
• Integration of user-facing elements developed by front-end developers
• Solve complex performance problems and architectural challenges
• Ensure HTML, CSS, and shared JavaScript is valid and consistent across related applications
• API development for mobile app, browser extension, web
• Design and maintain a database
• Develop components of the database such as storage, queries, and triggers
• Create reusable, effective, and scalable PHP code
• Implement security and data protection measures
• Integration of payment gateway, third-party services via API
• Source code management using bit bucket/git
• Using/creating packages for reusability across the products
• Integration of multiple data sources and databases into one system

   Primary Responsibilities

• Full understanding of the PIM data model
• Create conceptual data models, data flow documentation and user workflow processes

• Complete analysis needed to normalize and harmonize data attributes for the PIM and Data Governance tool

• Support needed for data governance documentation such as data dictionary and data lineage

• Lead discovery meetings with business owners to evaluate current PIM system and processes to document a recommended solution design of PIM for stakeholder review

• Document business requirements for data attributes, taxonomy, hierarchy, workflow and procedures in the PIM

• Leveraging agreed to solution design to configure the PIM system with the needed attributes, business rules, validations and workflow to ensure the business need is satisfied

• Define test cases and develop and execute test plans
• Identify and communicate the level of effort associated to new requirements that are received to be leveraged to establish release schedule for new demand

Minimum Requirements

• Bachelor's degree required
• 2-3 years' relevant experience required; 5- 7 years' work experience preferred