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Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

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 part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

Criteria

Mandatory

• Strong Product / Business Analytics profile, with a focus on B2C digital products
• Mandatory (Experience 1): Must have 4+ YOE in Consumer analytics for Product / Marketing / Business / Consumer behaviour Insights for B2C Products (Don't want logistics, operations or supply-chain focused analytics profiles, they should have worked on consumer-side analytics)
• Mandatory (Experience 2): Must have hands-on experience with data analysis tools (SQL, Excel, Python, R)
• Mandatory (Experience 3): Must have hands-on experience with KPI dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels
• Mandatory (Experience 4): Proven ability to translate and communicate complex analytical concepts into clear, actionable insights for non-technical stakeholders
• Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 6 years.

Preferred Companies

Scaler, Unacademy, upGrad, BYJU’S, Vedantu, Khan Academy, Toppr, Practo, QISpine, Paytm, Paytm Money, Freo Money, Groww, Zerodha, CRED, Navi, PhonePe, Jupiter, Kuku FM, Hike Messenger, Pocket FM, Dailyhunt, Gaana, JioSaavn, MX Player, Hotstar, Gameskraft, Dream11, MPL, Nazara Technologies, WinZO

It's a Contractual role for a particular project ongoing in the company, duration will be 1 year or may exceed as per the project requirement, After that the candidate might get opportunity to get permanent role.

2. The candidate will be on Moschip's payroll only.

3. Candidate should be comfortable for directly visiting and working with client's place.

4. Salary Range for this role would be -

Candidate having experience of 3 years - 12 to 14 LPA

Candidate having experience of 4 years - 14 to 16 LPA

Candidate having experience of 5 years - 16 to 20 LPA

5. Immediate to 15 days joiner preferred

Education Qualification - B.Tech / M.Tech Only.

3 to 5 years of hands-on experience in Linux Device Driver development

Strong experience with Linux kernel programming & memory management

Experience with Zephyr OS / device driver model (porting bare-metal drivers).

Familiarity with RTOS linux kernel internals and hardware protocols (They mainly use AXI protocol, i2c, spi).

Strong knowledge of PCIe and DMA drivers

Proficiency in C / C++ programming languages

Experience working with hardware interfaces/protocols (AXI, I2C, SPI)

Key Responsibilities:

• Assist in planning and executing email marketing campaigns to generate leads.
• Create engaging email content tailored to potential clients interested in web design, mobile app development, and SEO.
• Manage and grow email contact lists.
• Monitor email performance metrics such as open rates, click-through rates, and conversions.
• Research and identify potential B2B leads and contribute to the lead generation pipeline.
• Work closely with the sales and marketing teams to align email campaigns with business goals.
• Use tools like Mailchimp, HubSpot, or similar platforms to manage campaigns.

Requirements:

• Strong written communication skills.
• Basic understanding of digital marketing and email platforms.
• Interest in web technologies and digital services.
• Self-motivated and eager to learn.
• Bachelor’s degree in Marketing, Communications, or a related field

The Store Manager is responsible for overseeing daily operations of the apparel store, ensuring excellent customer service and sales performance. They manage staff, maintain inventory levels, and ensure visual merchandising aligns with brand standards. The role includes analyzing sales data and implementing strategies to meet targets. Strong leadership and communication skills are essential. Experience in fashion retail is preferred.

1. Work timings - You are the master of your time. However, with great freedom comes great responsibility. If you have committed something to the team, we expect that you will give it your best to make sure that commitment is done and is done on time.
   
2. Leave policy - Take a leave whenever for whatever reason you want. You don't need to explain yourself to us
   
3. Health insurance for you and your family

Desired Candidate Profile

• A Master's degree in business administration (MBA), Marketing
• Minimum 16 to 22 yrs of Sales experience in personal care/ hygiene industry
• Excellent verbal and written communication skills
• Willingness to travel regularly to different markets
• Proficiency with Microsoft office
• Strong analytical skills and ability to work well with little supervision