Personal Assistant

About the Role:

We are looking for an ideal candidate with 5+ years of experience in Data Science / Machine Learning, with strong hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and AI-powered applications. The candidate should be comfortable working across the complete AI lifecycle—from understanding business requirements and experimenting with models to building, evaluating, deploying, and monitoring production-grade GenAI solutions.

The role requires a combination of strong technical expertise, business understanding, problem-solving ability, and stakeholder management skills.

Key Responsibilities:

Generative AI & LLM

·      Design, develop, and deploy Generative AI and LLM-based solutions for enterprise use cases.

·      Work with models such as OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or equivalent LLM platforms.

·      Develop applications using prompt engineering, structured outputs, function/tool calling, and LLM orchestration.

·      Design and implement Retrieval-Augmented Generation (RAG) solutions.

·      Work with vector databases and semantic search for enterprise knowledge retrieval.

·      Develop and evaluate AI agents and multi-step AI workflows.

·      Implement techniques such as prompt optimization, context management, grounding, and hallucination reduction.

·      Develop AI solutions for text classification, summarization, information extraction, question answering, document intelligence, and other enterprise use cases.

Machine Learning & Data Science

·      Develop and optimize traditional Machine Learning and statistical models where appropriate.

·      Perform data exploration, feature engineering, model selection, training, validation, and evaluation.

·      Apply appropriate ML and statistical techniques to solve business problems.

·      Work with structured, unstructured, and semi-structured data.

·      Develop scalable data pipelines to support AI/ML solutions.

·      Collaborate with Data Engineers to prepare and manage data for AI applications.

AI Evaluation & Productionization

·      Design evaluation frameworks to measure LLM accuracy, relevance, groundedness, toxicity, latency, and cost.

·      Implement guardrails and responsible AI practices.

·      Monitor model and application performance in production.

·      Identify model/data drift and implement appropriate improvement strategies.

·      Optimize AI solutions for performance, scalability, reliability, and cost.

·      Support deployment and productionization of AI/ML solutions.

·      Client & Delivery Responsibilities

·      Work closely with the CEO, Delivery team, Solution Architects, Engineering teams, and clients to understand business problems and identify AI opportunities.

·      Translate business requirements into practical AI/ML solutions.

·      Participate in client discussions, solution presentations, technical workshops, and POCs.

·      Develop rapid prototypes and demonstrate the feasibility of GenAI solutions.

·      Convert successful POCs into scalable, production-ready applications.

·      Provide technical guidance and contribute to AI solution architecture.

·      Prepare technical documentation, solution approaches, and project estimates where required.

·      Stay current with developments in Generative AI, LLMs, Agentic AI, and AI engineering.

Required Skills:

·       5+ years of hands-on experience in Data Science, Machine Learning, AI, or a related field.

·      Strong practical experience in Generative AI and LLM-based applications.

·      Strong proficiency in Python.

·      Strong understanding of Machine Learning and statistical concepts.

·      Hands-on experience with:

o       LLMs

o       Prompt Engineering

o       RAG

o       Vector Databases

o       Embeddings

o       Semantic Search

o       LLM Evaluation

o       AI Guardrails

·      Experience with frameworks/tools such as LangChain, LangGraph, LlamaIndex, or equivalent.

·      Experience with APIs and integrating LLMs into enterprise applications.

·      Strong SQL and data handling skills.

·      Experience working with large and complex datasets.

·      Strong understanding of NLP concepts.XX

Technical Skills:

·      Experience with OpenAI / Azure OpenAI / AWS Bedrock / Google Vertex AI.

·      Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or equivalent.

·      Experience with Databricks, Snowflake, or cloud data platforms.

·      Experience with Docker and CI/CD.

·      Exposure to AWS, Azure, or GCP.

·      Experience with ML/AI deployment and MLOps.

·       Knowledge of AI security, data privacy, governance, and responsible AI.

·      Experience building AI Agents / Agentic AI workflows.

·      Experience with multimodal AI is an added advantage

Key Competencies

·      Strong analytical and problem-solving ability.

·      Ability to translate business problems into practical AI solutions.

·      Strong communication and presentation skills.

·      Ability to interact confidently with senior stakeholders and clients.

·      Strong ownership and delivery mindset.

·      Ability to work independently in a fast-paced environment.

• Strong experimentation and innovation mindset.
• Ability to balance technical feasibility, business value, scalability, and cost.

Required Education & Experience:

·      Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline

Job Description – .Net Developer

LOCATION

Delhi (travel readiness outside home residence is important)

EXPERIENCE

5+ years

ROLES & RESPONSIBILITIES

• Design, develop, and maintain scalable and secure web and desktop applications using .NET

technologies.

• Design, develop, and maintain web and desktop applications using .NET Framework and .NET

Core technologies.

• Build scalable, secure, and high-performance web applications using ASP.NET, MVC, and Web

API.

• Develop and optimize data access layers using Entity Framework and interact with SQL Server

or other relational databases.

• Implement responsive front-end interfaces using HTML, CSS, JavaScript, and modern

frameworks like Angular or React.

• Ensure cross-platform compatibility and responsiveness for web applications.

• Write clean, maintainable, and testable code following coding standards and best practices.

• Collaborate with cross-functional teams including designers, testers, and other developers

throughout the SDLC.

• Participate in code reviews, troubleshooting, and performance tuning.

• Ensure application security, scalability, and reliability.

SKILLS AND QUALIFICATION

• 5+ years of professional experience in .NET application development.

• Minimum 5 years of experience in .NET development.

• Strong hands-on experience with C#, ASP.NET MVC, .NET Core, and Web API.

• Proficiency in Entity Framework and SQL Server or other relational databases.

• Solid front-end development skills with HTML, CSS, JavaScript, and experience with Angular or

React.

• Strong understanding of object-oriented programming and design patterns.

• Experience in full-stack development with an ability to manage both backend and frontend

requirements.

• Familiarity with version control systems like Git.

• Excellent debugging, problem-solving, and analytical skills.

Job Title: Business Development Executive.

Location: HSR Layout, 6th sector, Bangalore

Company: A2M Technologies Pvt Ltd.

Job Type : Field Work.

Experience : Both Freshers and Experienced Candidates.

Salary Range : Up to 4.5 LPA.

Job Summary:

The Field Sales Executive will be responsible for driving sales growth through direct interactions with potential clients. The role involves prospecting, engaging with new and existing customers, and building long-term relationships to promote A2M Technologies' products and services.

Key Responsibilities:

Lead Generation & Prospecting: Identify potential clients through field visits, cold calling, and networking.

Sales Presentations: Present A2M Technologies’ products and services to prospective clients, highlighting their value proposition.

Client Relationship Management: Build and maintain strong relationships with both new and existing clients.

Negotiation & Closing: Negotiate terms of agreements, close sales deals, and ensure customer satisfaction.

Market Research: Stay updated on market trends, competitor activities, and customer needs to adjust strategies accordingly.

Achieve Sales Targets: Meet or exceed monthly and quarterly sales targets set by the management.

Sales Reporting: Provide daily/weekly sales reports and updates to the sales manager.

Product Knowledge: Maintain a deep understanding of the products and services offered by A2M Technologies.

After-Sales Support: Ensure timely follow-up with client's post-sales and resolve any issues related to the product or service.

*Cross-functional Collaboration: * Work closely with other departments like marketing, customer service, and technical teams to ensure seamless delivery to clients.

Key Qualifications:

Education: Bachelor’s degree in business, Marketing, or a related field (preferred).

Experience: 0-3 years of experience in field sales or a similar role.

Skills:

Strong communication and negotiation skills.

Ability to work independently and manage time effectively.

Proficiency in using CRM software and MS Office tools.

A valid driver’s license and willingness to travel frequently.

Benefits:

· Career Growth Opportunities: Emphasis on continuous learning, internal promotions, and opportunities for upward mobility within the organization.

· Performance-based Incentives: Bonuses, rewards, or recognition programs tied to meeting or exceeding performance goals.

· Professional Development: Access to training programs, certifications, and workshops to enhance skills and competencies.

About Us:

We’re a team of finance and technology enthusiasts who enjoy revolutionizing the investment industry through digital products & services. We’re building the next generation investment management platform for our financial professional customers so they can build better investment portfolios & help their clients retire in style.

About the role:

We’re looking for a full stack engineer to be part of a team of talented engineers and help us build high quality financial products that we launch to the market via partnerships with banks and broker-dealers. The candidate should be an innovator, highly technical, and passionate about speed, quality, and building amazing products. The candidate should also have demonstrated success in scaling platforms. Our team operates in a start-up environment with the backing of a large, industry leader and we actively cultivate a culture of innovation and excellence. The ideal candidate should enjoy working in this setting.

Responsibilities:

• Design, develop, test, deploy and maintain highly performant api-driven web applications on our stack (Angular, React, SASS, Java SpringBoot, Mulesoft).
• Design and implement REST APIs to industry/company standards
• Work with our amazing product design team to develop and iterate on user interfaces that bring simplicity to complicated financial data.
• Interact with engineering members across the organization to ensure consistency in engineering practices and foster active exchange of ideas
• We have development centers in Atlanta, Houston, New York City and India and the ability to collaborate across a global organization is a key skill.
• Perform peer code reviews. Review performance, security and flexibility of the code.
• Participating in agile ceremonies (e.g. daily standup, release and sprint planning, demos, scrum of scrums).
• Work with Architect to define technical roadmaps
• Participate and help to evangelist and promote enterprise solutions with business and technology partners

What we're looking for:

• 3+ years experienced in front-end frameworks, such as Angular and React
• 3+ years experience in back-end technologies, such as Node.JS, ExpressJS, or Java Springboot
• 2+ years experience with Mulesoft
• Experience with core AWS services
• Experience working in an Agile team and environment
• Familiarity with software engineering support systems and tools, such as Git, Jenkins, Bamboo, Gulp, Bower, Maven, Log4j
• Familiar with SSO solutions, such as SAML, OAuth, OpenID a plus
• Knowledge of the Financial Services industry a plus

Good to Have:

• Experience with DevOps tools like Docker, Kubernetes, Jenkins, etc.
• Experience in developing microservices-based architectures
• Knowledge of frontend technologies like HTML, CSS, and JavaScript
• Experience with Python technologies

Roles and Responsibilities

· Supports customers by providing helpful information,

· Overseeing the customer service process.

· Resolving customer complaints brought to your attention.

· Answering questions, and responding to complaints.

· Maintaining a pleasant work environment for your team

· Conducting quality assurance surveys with customers and providing 

feedback to the staff.

· Possessing excellent product knowledge to enhance customer suppor

· Handling Customer concerns and complaints in a timely manner

· Informing Customers of upcoming promotions, offers, updates and 

much more

· Courier Tracking, contacting courier people, give a feedback to 

customer

· Semi Voice process

Role: ODI Developer

Location: Hyderabad (Initially remote)

Experience: 5-8 Years

Technovert is not your typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that deliver.

Must have:

• Experience with DWH Implementation experience, with experience in developing ETL processes - ETL control tables, error logging, auditing, data quality, etc.
• Responsible for creation of ELT maps, Migrations into different environments, Maintenance and Monitoring of the infrastructure, working with DBA's as well as creation of new reports to assist executive and managerial levels in analyzing the business needs to target the customers.
• Should be able to implement reusability, parameterization, workflow design, etc.
• Expertise in the Oracle ODI toolset and OAC & knowledge of ODI Master and work repository &data modeling and ETL design.
• Used ODI Topology Manager to create connections to various technologies such as Oracle, SQL Server, Flat files, XML, etc.
• Using ODI mappings, error handling, automation using ODI, Load plans, Migration of Objects.
• Ability to design ETL unit test cases and debug ETL Mappings, expertise in developing Load Plans, Scheduling Jobs.
• Integrate ODI with multiple Sources/targets.

Nice to have:

• Exposure towards Oracle Cloud Infrastructure (OCI) is preferable.
• Knowledge in Oracle Analytics Cloud to Explore data through visualizations, load, and model data.
• Hands-on experience of ODI 12c would be an added advantage.

Qualification:

• Overall 3+ years of experience in Oracle Data Integrator (ODI) and Oracle Data Integrator Cloud Service (ODICS).
• Experience in designing and implementing the E-LT architecture that is required to build a data warehouse, including source-to-staging area, staging-to-target area, data transformations, and EL-T process flows.
• Must be well versed and hands-on in using and customizing Knowledge Modules (KM) and experience of performance tuning of mappings.
• Must be self-starting, have strong attention to detail and accuracy, and able to fill multiple roles within the Oracle environment.
• Should be good with Oracle/SQL and should have a good understanding of DDL Deployments.

Associate Lawyer has to complete extensive case-related research into relevant case laws for a particular case. They must plan and present arguments in a court of law.

Also, Associate Lawyer is responsible for keeping everyone – from firm's senior advocates to clients – updated of the progress of a case by creating reports as well communicating verbally.