Business Analyst

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

Build a database of customer leads through references, opening stalls in areas where there are higher

number of footfalls – like apartment complexes, shopping areas etc., door to door visits, distribution of

pamphlets etc

 Schedule meetings with potential liabilities customers and understand their requirement; thereafter

presenting them with the most suitable products and explaining the features/benefits.

 Communicate clearly to customers on the requirements for various types of products & services – for

example, charges for maintaining a locker, minimum balance to be maintained etc.,

 Ensure that all customer documents are verified with originals and are handled with care and

confidentiality.

 Complete all account opening related processes accurately so that the customer experience is

enhanced and forms the foundation of a long relationship with the bank.

 Maintain continuous communication with customers on the status of their account opening process.

 Frequently communicate with newly signed up customers and assist them with additional products and

services based on their requirements – for example, relevant loan products, investment products etc.

 Build reference network from newly signed up customers for potential leads.

 Regularly update Daily Sales Reports and discuss on the plans, action items, progress with the

supervisor.

How to apply: recruit.hrlspl

Position/Title: Senior - Talent Acquisition

Department: Human Resources

Employment Type: Full-time

Location: Mumbai

Shifts (if any): 10:00 AM - 7:00 PM (candidate should be flexible to work as per business requirement)

Experience: 5-10 years

This position is on 3rd party payroll.

About Aeries:

Aeries is a global services company providing technology, business Founded in 2012, Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.

For more information, log on to http://www.aeriestechnology.com 

Key Responsibilities:

1.      Non and IT Recruitment Strategy:

·  Develop a specialized recruitment strategy to attract top talent in the Non IT and IT sectors.

·  Stay updated on the latest IT and NON IT  developments to anticipate hiring needs.

2.       Candidate Sourcing and Engagement:

·  Identify potential candidates through various channels including job portals, networking events, and referrals.

·  Engage potential candidates with an understanding of technical requirements such as SAP, Oracle, cloud technologies, programming languages, and more.

3.       Stakeholder Collaboration:

·  Work closely with IT and Non IT department heads to define precise hiring needs and specifications.

4.       Candidate Assessment:

·  Conduct preliminary screening and technical assessments, ensuring candidates meet the technical and cultural fit for roles.

·  Coordinate technical tests and interviews with the respective teams.

5.       Market Intelligence:

·  Stay informed about market trends, competitive salaries, and benefits to attract and retain the best talent in the ERP and IT sectors.

6.       Process and Metrics Management:

·  Continually refine recruitment processes to enhance efficiency and effectiveness.

7.       Candidate Experience:

·  Ensure a seamless experience for candidates from the initial approach through the onboarding process.

·  Address any specific concerns related to ERP and IT roles.

Desired Minimum Qualification:

·  Bachelor’s degree

·  A minimum of [5 to 10] years of experience in talent acquisition with a focus on Non-IT and IT roles

·  IT technologies.

·  Proven track record in hiring for technical roles.

The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

Skills:

• Knowledge and experience of B2B Lead Generation in IT services
• Experience of Cold calling
• A good knowledge and understanding of the technical aspects of the following:-

•  Microsoft Office and associated systems, including CRM 
• Social Networking (LinkedIn) 

•  Excellent communication skills and an excellent telephone manner 
•  Ability to work independently and under pressure 
•  Good verbal and written skills  
•  Good organisational skills and attention to detail  

Roles and Responsibilities:

• Generate new leads using cold calling, social media, and other relevant lead generation tools.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities.
• Organise and keep the lead status updated in the CRM software
• Follow up on leads and conduct research to identify potential prospects.
• Promote the company’s products/services addressing or predicting clients’ objectives
• To use company databases to gain potential leads.
• Think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business
• Screens potential business deals by analysing market strategies, deal requirements, and financials.

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.

We are an IIT Bombay incubated, early stage healthcare start up developing a mobile based Ai technology to help reduce health risks for women during their pregnancy. Our Founders are Harvard and Columbia University alums with extensive experience in digital health in the US and India.

Role: Back end developer ( Python + Flask/Django, Location Mumbai, Marol):

Must have:

• 1-4 years hands on experience in Core Python with preferably Flask framework for complex web and mobile applications. 
• Deployment experience
• Must have experience with Mongodb, MySQL and AWS
• Experience in Redis, Aerospike 
• Good command of API development and deployment ( G Unicorn, Supervisor, Jenkins) Algorithms, system design, OOPS concepts.
• Agility and flexibility to in start up environement with focus on customer, excellent communication skills, and high level of responsibility and responsiveness.
• Project management, scheduling, allocation and delivery.
• Proven experience in agile development, sprint planning and backlog management.

Good to Have:

Experience in Machine Learning, Dialogflow or Rasa for NLP,