Hiring _Python DE Lead

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

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 Senior 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:
• 4+ 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.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Job Summary:

We are looking for a dynamic and detail-oriented HR Executive to support the human resources department in all facets of HR operations. This role involves managing employee relations, recruitment, performance management, training, and administrative duties to ensure smooth HR processes and a positive work environment.

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or related field.
• 3+ years of experience in an HR role, preferably in a fast-paced environment or organization.
• Experience with HRMS/HRIS (Human Resource Management Systems) and MS Office Suite (Excel, Word, PowerPoint) is preferred.

Skills and Abilities:

• Strong knowledge of HR practices and labor laws.
• Excellent communication and interpersonal skills.
• Ability to maintain confidentiality and handle sensitive information.
• Strong organizational skills with attention to detail.
• Ability to handle multiple tasks and prioritize effectively.

• 2-8 years of experience in frontend development
• Hands-on experience of Minimum 2 years into ReactJS with 6 months in Redux
• Hands on with Core web fundamentals: HTML, JavaScript, and CSS.
• Good exp in JavaScript Libraries like jQuery.
• Have delivered project on ReactJS and played key role

Job Description - 221135

Cloudera is looking for a highly experienced software engineer with strong expertise in Java development and a specialty in platform architecture to join the Cloudera Lens team.

Cloudera Lens is a high-fidelity, context-rich, and fully correlated self-service observability & optimization tool that analyzes the state and wellness of a customer’s environments and empowers them to proactively discover and address unknown unknowns in their data, scale operations without compromising on performance or costs, and expedite remediation of issues.

As a Java engineer, you will be working in a team of engineers led by an Engineering Manager, collaborating with other engineers and stakeholders in India, United States, and other countries around the globe.

Responsibilities:

• Lead, architecture, design, and implementation of key aspects of the Cloudera Lens data collection, data analytics, data correlations, and recommendations.

• Work with product management, engineering, UX, and documentation teams to deliver high-quality products.
• Interact with partners and customers to help define roadmap and shape the technology.
• Empower team members to deliver high-quality software at a fast pace.

Requirements:

• Proven track record of performance.
• Passionate about software engineering. Clean coding habits, attention to detail, and focus on quality and testability.

• Strong software engineering skills: object-oriented design, data structures, algorithms.
• Experience with containerization orchestration technologies: Kubernetes, Docker.
• Deep knowledge of system architecture, including process, memory, storage, and network management is highly desired.
• Experience with the following: Java, concurrent programming, and related areas.
• Experience with Java memory management, performance tuning and scaling
• Experience in building horizontally scalable products handling multi-terabyte datasets is desirable.
• Experience with relational and non-relational databases: PostgreSQL, Amazon S3.
• Strong oral and written communication skills in English.

Advantageous To Have:

• Experience in building enterprise-grade cloud products.
• Experience with building/using cross-functional observability products.
• BS or MS in computer science.
• Cloud experience: AWS, Azure, GCP.
• Python, Linux, Micro Services experience.

We are looking to hire a talented ruby on rails developer to manage the interchange of data between our users and the server. You will be responsible for developing and maintaining the server-side logic for the central database, testing performance, troubleshooting, and integrating front-end elements into the application.

To ensure success as a ruby on rails developer, you should have extensive experience working with ruby and back-end integration techniques. Ultimately, a top-level ruby on rails developer can create clean, functional code that perfectly suits the needs of the company.

• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.

• Bachelor’s degree in computer science, computer engineering, or related field.
• Experience working with ruby on rails as well as libraries like Resque and RSpec.
• Ability to write clean ruby code.
• Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
• Experience with AngularJS or BackboneJS.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
• Knowledge of server-side templating languages including Slim and Liquid.
• Familiarity with testing tools.