Manager- Digital Marketing

Job Title: (Generative AI Engineer Specialist in Deep Learning)

Location: Gandhinagar, Ahmedabad, Gujarat

Company: Rayvat Outsourcing

Salary: Upto 2,50,000/- per annum

Job Type: Full-Time

Experience: 0 to 1 Year

Job Overview:

We are seeking a talented and enthusiastic Generative AI Engineer to join our team. As an Intermediate-level engineer, you will be responsible for developing and deploying state-of-the-art generative AI models to solve complex problems and create innovative solutions. You will collaborate with cross-functional teams, working on a variety of projects that range from natural language processing (NLP) to image generation and multimodal AI systems. The ideal candidate has hands-on experience with machine learning models, deep learning techniques, and a passion for artificial intelligence.

Key Responsibilities:

·        Develop, fine-tune, and deploy generative AI models using frameworks such as GPT, BERT, DALL·E, Stable Diffusion, etc.

·        Research and implement cutting-edge machine learning algorithms in NLP, computer vision, and multimodal systems.

·        Collaborate with data scientists, ML engineers, and product teams to integrate AI solutions into products and platforms.

·        Create APIs and pipelines to deploy models in production environments, ensuring scalability and performance.

·        Analyze large datasets to identify key features, patterns, and use cases for model training.

·        Debug and improve existing models by evaluating performance metrics and applying optimization techniques.

·        Stay up-to-date with the latest advancements in AI, deep learning, and generative models to continually enhance the solutions.

·        Document technical workflows, including model architecture, training processes, and performance reports.

·        Ensure ethical use of AI, adhering to guidelines around AI fairness, transparency, and privacy.

Qualifications:

·        Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.

·        2-4 years of hands-on experience in machine learning and AI development, particularly in generative AI.

·        Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.

·        Experience with NLP models (e.g., GPT, BERT) or image-generation models (e.g., GANs, diffusion models).

·        Strong knowledge of Python and libraries like NumPy, Pandas, scikit-learn, etc.

·        Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment and scaling.

·        Familiarity with APIs, RESTful services, and microservice architectures.

·        Strong problem-solving skills and the ability to troubleshoot and optimize AI models.

·        Good understanding of data preprocessing, feature engineering, and handling large datasets.

·        Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.

Preferred Skills:

·        Experience with multimodal AI systems (combining text, image, and/or audio data).

·        Familiarity with ML Ops and CI/CD pipelines for deploying machine learning models.

·        Experience in A/B testing and performance monitoring of AI models in production.

·        Knowledge of ethical AI principles and AI governance.

What We Offer:

·        Competitive salary and benefits package.

·        Opportunities for professional development and growth in the rapidly evolving AI field.

·        Collaborative and dynamic work environment, with access to cutting-edge AI technologies.

·        Work on impactful projects with real-world applications.

Responsibilities:

• Research, design and build highly reliable, available and scalable solutions that can

handle Millions of API calls across systems.

• Own large technical deliverables and execute in a structured manner, complete ownership

of functional Services that your team is responsible for.

• Take the accountability of the overall health of the products you build and predictability

of the deliverables of your team.

• Platformism components as libraries, utilities and service and promote reuse.

• Be able to conceptualize and develop prototypes quickly.

Requirements

• Ability to take ownership of projects under the guidance of your mentor.

• Must be an excellent problem solver.

• Must be familiar with one of the languages Java, Spring, Hibernate, microservices etc.

object-oriented high level proprietary or open-source language with strong programming

constructs.

• Solid understanding of DS and algorithms, OOP concepts, and MVC architecture.

• BE/MTech/MCA/MSc
• 3+yrs Hands on Experience in TSQL / PL SQL / PG SQL or NOSQL
• Immediate joiners preferred*
• Candidates will be selected based on logical/technical and scenario-based testing

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

1. Technical Skills Desired:
   1. Experience in MS SQL Server and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
   2. Design database tables, views, indexes
   3. Write functions and procedures for Middle Tier Development Team
   4. Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
   5. Query Optimization for performance improvement
   6. Design & develop SSIS Packages or any other Transformation tools for ETL

1. Functional Skills Desired:
   1. Banking / Insurance / Retail domain would be a
   2. Interaction with a client a

1. Knowledge in a Cloud Platform (AWS / Azure)
2. Knowledge on version control system (SVN / Git)
3. Exposure to Quality and Process Management
4. Knowledge in Agile Methodology

1. Soft skills: (additional)
   1. Team building (attitude to train, work along, mentor juniors)
   2. Communication skills (all kinds)
   3. Quality consciousness
   4. Analytical acumen to all business requirements

• Ability to provide overall product value and differentiate support offerings that clearly map to customer needs.
•  Ability to  Identify and resolve gaps in customer expectations versus actual service levels.
• Assists with the creation of a sales cycle plan.
• Manage Customized project requests and handle projects till it doesn’t go live.
• Coordinate with the Technical team, Client, sales team, and delivery team for a project.

KRA – Manager Presales

• Ability to provide overall product value and differentiate support offerings that clearly map to customer needs.
• Identify and resolve gaps in customer expectations versus actual service levels.
• Lead Generation activities such as cold calling to prospects
• Assist in preparation of sales proposals, RFP, and RFI responses
• Research and develop prospect list using LinkedIn and Web research
• Create proposals, sign-off documents, and integration documents.
•  Expected to be thorough with the products of the company and if there are any new developments or innovations going on.