Business Analyst, Compass

Role: Core infrastructure for two global applications.

Key responsibilities:

Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.

Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.

Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.

Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.

Requirements (Must Have)

Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)

Note: Learning projects, bootcamps, and online courses will not be considered.

Python Mastery: Expert-level proficiency in backend Python development. (Must have)

MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)

AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)

Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)

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.

            Azure Database Developer

Mandatory Skills: Data Bricks (Pyspark/Spark), Unity Catalog, T-SQL, Azure Data Factory, Power BI.

Power BI, & Azure Devops

·        Very strong understanding on ETL and ELT

·        Very strong understanding on Medallion architecture.

·        Very strong knowledge in Pyspark and Spark architecture.

·        Very strong knowledge in Unity Catalog architecture using databricks.

·        Very strong knowledge in T-SQL 

·        Good knowledge in Azure data lake architecture and access controls.

·        Good knowledge in data pipeline creation and monitoring using Azure data factory

·        Good knowledge in CI /CD process using Azure devops

·        Power BI

• Advanced Linux / Unix support experience required.
• · Strong shell scripting and python programming skills for SRE related activities required.
• · Understanding on Veritas Cluster Service, Load Balancers, VMWare and Splunk required.
• · Knowledge on ITIL principles required.
• · Effective oral and written communication skills, and interpersonal skills to work well in a team environment required.
• · Strong organizational and coordination skills with the ability to manage multiple tasks and high-pressure situations for outage handling, management or resolution.
• · Be available for weekend work.

Greeting from DevCare Solutions!!!

Job Description:

We're looking for an experienced US Healthcare Recruiter to join our team. The ideal candidate should have a stable profile and prior experience with RN, LPN, LVN, CNA,STNA roles. This on-site position offers flexibility and a dynamic work environment. Functional Area: IT – Software Candidate Requirement Position: US Healthcare Recruiter

Location: Chennai (On-Site - WFO)

Experience: 0.6-3 Years

Requirement: US Healthcare experience is a must. Experience: 1 - 3 years Qualification: Graduate in Education

About us:

Devcare Solution is a place where a best-in-class working environment, professional management, and opportunities to learn exist bundled with exceptional rewards. It is ready to take more on board for all those who deserve a dream career. The team is full of good spirits complimenting each one's brilliance at workplace. Needless to say about the interesting projects, you for sure will gain an enriching positive experience every moment.

Name of the company: DevCare Solutions

Year of establishment: April 19th, 2005

Company address: No 4, Ram complex, Padasalai Street, Urapakkam, Chennai 603210

It's Complete US Shift Onsite

Shift Timing will be 7.00pm to 4.00am IST

Cab: Pick and Drop Available

Dinner will provided in the company

www.devcare..com

• To perform requirement analysis and oversee the implementation of architectures of project scope
• To provide customized reusable solutions of project, program or operational scope
• To develop high-quality and detailed designs
• To conduct unit testing using automated unit test frameworks and identify and address possible risk by conducting mitigation action planning
• Conducting configuration of your own work or from the team and assess the technical impact of multiple technologies/strategies
• Reviewing the work of other developers with feedback for improvement (if applicable)
• Using coding standards and best practices to ensure quality deliverables
• Contribute as a team member to an operational, integration or application architecture requirements, design, implementation, or on-going operations deliverables

StoryXpress (a Techstars-backed company) is an end-to-end video platform and is an efficient and effective way of humanizing the way you promote and sell your product or services, and communicate with your customers. With a suite of professional video tools (Video Creator, Video Recorder, Video Hosting and Analytics, Video APIs, and SDKs), we help small and medium-sized businesses drive more revenue through the strategic use of video. Founded in 2014, StoryXpress has a rich community of 500K+ users including small enterprises to Fortune 500 companies.

Why Work with Us:

• Get an opportunity to contribute to an exciting, forward-thinking and fast-moving Start-Up.

• Shape-Up your career by working with young and supportive teams and peers!

• Innovation and Creativity is all what matters!

• Experience and understand the startup which is transforming the video marketing industry.

• Friendly Policies, good-competitive salaries, Team Outings and what not!

Job Responsibilities:

• Building and scaling web products that directly impact our customers and partners.
• Ensure the technical feasibility of UI/UX designs and implement the same.
• Implement user interfaces in React alongside Node.js.
• Translate several RESTful data sources to be used in a front-end application.
• Dig into bugs and feature requests along with writing the tests.

Job Requirements:

• Should have minimum 2 years of experience in the respective field.
• Proficient knowledge of Node.js, Express.js, MySQL.
• You should know how to build scalable web apps.
• You should know how to build front-end components.
• Proficiency in JavaScript Development.
• Good understanding of micro-server architecture and REST API.
• Should be comfortable with HTML, CSS, and related technologies
• You should know why a framework is necessary.
• Proficient in code versioning tools like Git.

Are you excited at the possibility of developing an already stellar team to meet the growing needs of our platform and business? Does this opportunity to build a groundbreaking team and solve hard problems sound amazing to you? If so, we would love to have you onboard!*

Brownie Points For:

- Experience building/working on Chrome Extensions.
- Proficiency with Socket.io and/or Redis.
- Familiarity with front-end build tools, such as Webpack.

• Market research, understanding the competitive landscape and tailoring the customer communication accordingly
• Lead generation, customer qualification, Demos and achieving sales closure
• Maintaining the customer interactions on Fresh Sales CRM
• Meeting Quarterly & Annual Revenue Targets

• Total 0-2 year of experience
• Prior experience in selling SaaS (Software as a Service) solution or subscription-based product will be a definite plus
• Excellent written and verbal communication skills. 
• Well versed with tools to prepare engaging Business presentations
• Strong knowledge of using LinkedIn and other social media platforms to reach out to prospects
• Self driven