Academic counselor,Telesales

Position Overview:

 As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.

Key Responsibilities:

• Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
• Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
• Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
• Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
• Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
• AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
• Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
• Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

• 3+ years of experience in machine learning or AI development, with a focus on generative models.
• Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
• Working knowledge of javascript and other web concepts is a plus.
• Analyse and preprocess diverse datasets to extract meaningful information for AI applications
• Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
• Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
• Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
• Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
• Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
• Strong research interest delving deep into depths of AI, LLM tech with passion.
• Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
• Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
• Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
• Familiarity with model evaluation techniques and performance metrics specific to generative models.
• Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
• Strong communication skills and the ability to collaborate in a cross-functional team environment.

Technical specifications/Skill Set:

• Minimum of 5+ years of significant experience in application development.
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development
• Knowledge of system architecture, object-oriented design, and design patterns.
• Required technical skills: Strong Core Java, J2EE, Spring boot, Akka, API development & distributed application development experience.
• Desirable technical skills: Micro-services pattern, Kafka, Knative Eventing, Camel-K, Container Technologies like Docker, Kubernetes, NoSql preferably Cassandra.
• Experience working with high volume data and computationally intensive system.
• Domain knowledge in Financial Industry and Capital Markets is a plus.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.

Basic Qualifications:

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking
• Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

• Full-Cycle Recruitment Process
• New Client References for the company

• Management- Manage full-cycle recruitment for a host of assigned searches.
• Gather Information- Understand the company and candidate requirements thoroughly.
• Process- Create and suggest the hiring process and strategies on the basis of the job description.
• Timeline- Mention the timelines for the end-to-end recruitment process to hire the right-fit candidate.
• Job Marketing- Advertise the job through different channels to get more attraction.
• Sourcing- Source candidates through different job portals and social media platforms.
• Initial Screening- Screen the candidates via phone call or video call.
• Interviews- Conduct rounds of interviews before shortlisting and submitting candidates to the clients.
• Assessments- Create and submit assessments based on each candidate’s interview.
• Co-ordination- Follow up with the client and candidates to schedule final interviews on a timely basis.
• Negotiation- Based on the client’s shortlisting, initiate negotiations with candidates and close the deal.
• Candidate Management- Once the deal is closed, follow up and maintain a good relationship with the candidates till the transition is complete.
• Client Management- keep in touch with the client for more vacancies.

• Excellent communication (verbal & written), interpersonal and consulting skills
• Sound judgment to recognize and strive to meet client's hiring needs.
• Ability to meet targets and deadlines.
• Confident, pleasant personality, ambitious, self-motivated, organized with leadership and management skills.