Business development Executive

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

Job Purpose

• The role consists of training and knowledge building among the emerging candidates about Global market trading analysis.
• There will be on the floor experience of stock market analysis.

Duties and responsibilities

• Perform technical analysis in US markets such as the NYSE, NASDAQ & Amex
• Analyze securities performance and Pricing of companies listed on US market.
• Developing forecast and projections.
• Monitoring Industries Trends and Market news.
• Prepare technical reports based on the company's fundamentals and previous performances.
• After successful completion of the training period, a Learner would be a full-fledged US stock market analyst/trader who would be able to make wise and informed stock trading decisions.
• This profile DOES NOT entail selling/marketing of any financial products or services/ calling clients.

Work Timings and Location

• 06.00 PM to 03.00 AM
• Monday to Friday
• ITPP – International Tech Park, Kharadi, Pune.

Qualifications

• Strong mathematical and statistical aptitude skills
• BCOM/BBA/MBA/PGDM-Finance /NCFM, CFAs/CMTs and any graduate/post-graduate who has passion/skill for trading.
• The candidate must be in the age group of 20-24 years
• The candidate should not have appeared in the selection process with us within the past 6 months.

Future Career Opportunities

After successful completion of the internship program, the excellent candidates will be provided the following career opportunities with the extremely high incentive program with an organization and designated as:

1. Associate US Equity Analyst

2. Equity Analyst

3. Sr. Equity Analyst

Training Period: Minimum 3 months (Not fixed)

Job Types: Full-time, Regular / Permanent, Internship, Fresher

Interview Rounds

·        HR Round

·        Aptitude Test

·        Technical/Manager’s round.

About Client Launched in 1993, Client's brand, focused on providing high-quality herbal powders for beauty care. With a commitment to purity, their products contain only natural ingredients without fillers or preservatives. Recognizing the demand for safe and differentiated products in the growing Indian personal care market, they expanded their product range. In 2012, a strategic investor joined, leading to further expansion and enhanced product quality. Today, the brand boasts 36 products across 10 categories, marrying Ayurvedic principles with natural ingredients, offering outstanding products globally through various channels.

 Job Description:

• Develop and oversee performance marketing strategy
• Manage Ad campaigns on Facebook, Google & Marketplaces
• Create engaging content for digital platforms
• Conduct regular CRO audits and execute A/B tests
• Implement user testing for enhanced conversion rates
• Review and optimize advertising campaigns for planned ROAS/ACOS
• Identify and optimize performance marketing channels
• Manage Analytics for campaign tracking
• Troubleshoot campaign-related issues
• Stay updated on industry trends and emerging technologies

Requirements

• 3-4 years of proven Performance Marketing experience
• Bachelor's degree in Marketing, Business, or related field
• In-depth knowledge of digital marketing channels and analytics
• Strong creative skills with attention to detail
• Data-driven mindset and analytical abilities

Responsibilities:

● Support the entire application lifecycle (concept, design, test, release and support)

● Produce fully functional mobile applications writing clean code

● Gather specific requirements and suggest solutions

● Write unit and UI tests to identify malfunctions

● Troubleshoot and debug to optimize performance

● Design interfaces to improve user experience

● Liaise with the Product development team to plan new features

● Ensure new and legacy applications meet quality standards

● Research and suggest new mobile products, applications and protocols

● Stay up-to-date with new technology trends

Requirements and skills:

● Proven work experience as a Mobile developer

● Demonstrable portfolio of released applications on the App Store or the Android market

● In-depth knowledge of at least one programming language like Flutter Java

● Experience with third-party libraries and APIs

● Familiarity with OOP design principles

● Excellent analytical skills with a good problem-solving attitude

● Ability to perform in a team environment

● BSc degree in Computer Science or relevant field

The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor. 

Responsibility 

• Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies 
• Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies 
• Develop, curate and maintain training datasets for AI models 
• Label large datasets for supervised learning of AI models 
• Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives

• Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data. 
• Experience in developing training datasets for AI models and data labelling for supervised learning of AI models. 
• Excellent attention to detail 
• Customer advisory experience preferably in data security domain 
• Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus. 
• Broad knowledge of operationalizing data security, regulations and standards will be an advantage 
• Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
• Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
• Graduate/Post Graduate in Engineering discipline from premium institute