Mis Data Analyst

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!

🌐 About Us:

Exotica IT Solutions is at the forefront of digital transformation — delivering cutting-edge solutions in AI, automation, and custom software development.

Join Exotica IT Solutions and lead our marketplace-driven growth journey!

🔹 What You’ll Do:

✅ Lead and scale our IT sales strategy on Upwork & similar platforms

✅ Drive high-quality lead generation and conversions

✅ Create compelling proposals, pitch decks & RFP responses

✅ Build and manage a high-performing sales & Upwork specialist team

✅ Strengthen client relationships and boost long-term retention

✅ Optimize our Upwork presence to increase win rates and visibility

✅ Report actionable insights to leadership on key sales metrics

🔹 What We’re Looking For:

✔️ 5+ years in B2B/B2C IT services sales

✔️ 6+ years of hands-on experience with Upwork or similar platforms

✔️ Strong leadership, communication, and technical understanding

✔️ Proven ability to hit revenue targets and grow accounts

✔️ Flexible to engage across time zones.

👉 Ready to take the lead? Apply now or DM us for more details.

🌐 www.exoticaitsolutions.com

DevOps Engineer

Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.

Responsibilities

• 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx),

application servers (Jboss, Tomcat) and database systems (postgres, mysql)

• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Terraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a Plus

Tasks and Responsibilities:

• Detailed technical analysis and specifications;

• Technical artifacts for new releases and automated tests as appropriate;

• Participation in meetings with the project team;

• Inputs to team lead for monthly activity and status reports of the team;

Profile:

• Bachelor or Master degree;

• +5 years of professional experience in software development;

• +3 years of hands-on Java or Node.js/Typescript development experience;

• Knowledge of JSF, Angular or Wicket;

• Knowledge of Docker, Solr/Elastic and/or Amazon Web Services (lambda, dynamodb, IAC, cognito, SNS, SQS, step-functions, cloud watch, log group, https codes used in REST api) is an advantage;

• Fluent in English

We are seeking an experienced Senior Java Full Stack Consultant to join our dynamic team. The successful candidate will be responsible for developing high-quality software solutions using Java technologies and contributing to the design and architecture of complex applications. As a consultant, you will collaborate with clients to understand their business needs and provide expert guidance and technical leadership throughout the software development lifecycle. The ideal candidate is a self-motivated individual with a strong background in Java development, full-stack web development, and a proven track record of delivering successful projects.

Responsibilities:

• Collaborate with clients to gather and analyze business requirements, and translate them into technical specifications and solutions.
• Design, develop, and deploy high-quality software applications using Java technologies.
• Develop and maintain scalable and secure web applications using front-end and back-end technologies such as HTML, CSS, JavaScript, AngularJS, Spring, Hibernate, and SQL.
• Perform code reviews to ensure adherence to coding standards, best practices, and proper documentation.
• Conduct thorough testing and debugging of applications to ensure software quality and reliability.
• Provide technical leadership and mentorship to junior developers on the team.
• Collaborate with cross-functional teams, including project managers, designers, and other developers, to deliver projects on time and within budget.
• Stay updated with the latest industry trends and technologies, and recommend innovative solutions to enhance software development processes and practices.
• Participate in meetings and discussions with clients to understand their needs, provide technical advice, and present project progress and deliverables.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's degree is a plus.
• Proven experience (5+ years) as a Java Full Stack Developer, Consultant, or similar role.
• Strong proficiency in Java programming language and frameworks such as Spring, Hibernate, and AngularJS.
• Experience with front-end technologies including HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Vue.js).
• Solid understanding of database concepts and experience with SQL and ORM tools.
• Expertise in software development methodologies and best practices, including Agile and Scrum.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with clients and team members.
• Demonstrated ability to lead projects and mentor junior developers.
• Self-motivated with a passion for continuous learning and professional development.

Preferred Qualifications:

• Experience in developing and deploying microservices architectures.
• Knowledge of DevOps practices and tools such as Jenkins, Docker, and Kubernetes.
• Familiarity with testing frameworks such as JUnit and Selenium.
• Certification in Java programming or related technologies.

We offer competitive compensation packages, a collaborative work environment, and opportunities for growth and professional development. If you are a highly skilled Java Full Stack Developer looking for a challenging and rewarding role, we would love to hear from you.

Job Description

1. TREND MICRO /SYMANTEC  Anti-Virus Security Management tDLP MANAGEMENT
2. MONITORING END POINTS AND DAILY UPDATE TOBE PUSHED THROUGH SERVER AV CONSOLE
3. RCA for non-updating of end points and remote resolution.
4. Interacting with OEM to fix.
5. SQL Data base  Troubleshooting/Restoring Database.
6. Automated the process of vulnerability management and policy compliance across the enterprise; provide network discovery and mapping, asset prioritization,
7. Good  speak and write English Communication
8. Able to work shift basis

• Extensive knowledge of linux kernel internals.
• Good knowledge of C programming language.
• Familiarity with any processor architecture, virtualization, storage and network management.
• Strong experience in debugging linux kernel mode
• Debugging experience across hardware and platform firmware.