Data Scientist

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

• 2 - 5 years of hands-on experience with Mongo DB as a Developer.
• Deploy and create MongoDB clusters with appropriate configuration once the machines are provisioned
• Be able to script, and have programming ability with MongoDB shell and/or other programming languages
• Configure and monitor replica sets and Sharded Clusters
• Ability and experience in working with applications that work with MongoDB such as Java, Node.js and/or others
• Experience with MongoDB security, managing roles and permissions
• Experience with MongoDB backups and restores, manually and using MongoDB and other tools
• Knowledge and experience in working with MongoDB Ops Manager and/or Cloud manager
• Knowledge and/or experience working with MongoDB Atlas
• Knowledge of at least one DevOps tool such as Puppet, Chef, Ansible or similar
• Experience with ORM tools such as spring data is preferred.

We are seeking a qualified HR Associate in regard to selling cars and bike service products that our customers have grown to rely on. We are a growing platform and are required to target customers by hiring more sales executives on daily basis.

Role: Associate - Employer Branding

Experience: 1-3 years

Location: Hyderabad

Technovert is not a 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 the 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 delivers

Responsibilities:

• Drive Technovert’s Employee Value Proposition and talent attraction strategy externally and internally.
• Infuse human element into all communications to personify the brand and demonstrate an emotional connect with employees.
• Drive brand evangelists network internally by working in collaboration with Marketing, HR & Talent Acquisition leaders on employee branding, campaigns, programs, and events to boost pride amongst associates.
• Promote employee referral programs to foster referrals.
• Plan and execute campaigns to maintain the company's positioning on social media platforms like LinkedIn, Instagram, YouTube, and Facebook.
• Design email marketing campaigns to promote positive referrals on job portals like Glassdoor, Naukri and Ambition Box.
• Expand the company's online presence on different employment sites, developing creative ways to draw prospective employees to the company's website and identifying new recruitment opportunities through social media.
• Developing employer branding event concepts - online and in person.
• Organizing employer branding material.

Must have:

• Sound understanding of brand management strategies.
• Great interpersonal communication to influence and prepare speakers.
• Hands-on experience with social media management.
• Strategic thinking and problem-solving skills.
• Strong communications and organizational skills.
• Meticulous attention to detail.
• Multi-tasker with a strong work ethic.
• Creativity.

Nice to Have:

•   Presence on Social Media platforms.
•   Understanding of E-mail Marketing.

Qualification: 

MBA/PGDM with majors/minors in Marketing.

• 8+ years of experience building Web applications, APIs, Service based platforms
• Excellent command on Java/J2EE and/or Spring/Hibernate
• Strong command over REST based services and micro-services
• Good knowledge of databases such as MySQL
• Good knowledge of creating and maintaining Dev ops infrastructure on AWS or similar platforms
• Good knowledge of code repo software such as git and build management tools

• Creating and processing invoices
• Cross-checking invoices with payments and expenses to ensure accuracy
• Managing a company's accounts payable and receivable
• Sending bills and invoices to clients
• Tracking organization expenses
• Processing refunds
• Working with collection agencies on overdue payments
• Communicating with clients regarding billing and payments
• GST returns
• TDS knowledge
• Tally Proficient

Designing, architecting and developing the backend and APIs, primarily using the MEAN/MERN stack, for products or platforms for end-clients to consume our technology in Infrastructure Monitoring from Satellite Imagery and Robotic Process Automation in Banking and Mortgage Services.

- Interfacing with the customer, tech team members, project managers and other relevant product people for a thorough understanding of the product, use case and business objective, detailed specification and data flow for the requirement, demonstration of the solution and clarification of queries at appropriate times during the life-cycle of the product.

- Preparing test cases, setting up CI/CD and integration with logging and monitoring systems for the products or platforms 

- Seeking customer feedback to continuously optimize the product for great customer experience and high technical performance in areas such as hardware efficiency, latency and throughput

- Delivering a robust backend platform for the products and platforms by incorporating important considerations regarding minimal downtime, high availability, data redundancy, tight security, etc. into the design