Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description Collaborate with Workforce Management and Operational teams to analyze data formats and structures from in-house Workforce Management systems or client CRM/WFM systems Design and implement a scalable data warehouse or data lake with appropriate data pipelines. Ensure automated processing of operational data for generating standardized and customizable KPI matrices and dashboards. Lead the creation of systems that allow flexibility for client-specific rules and calculations. Integrate AI/ML solutions for predictive analytics and business insights. Establish data governance and ensure compliance with security and regulatory standards. Monitor data quality and optimize performance across the data ecosystem. Act as a technical leader, mentoring and managing a small team of data engineers. Provide regular updates to stakeholders and collaborate on defining long-term data strategies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8+ years of IT experience with at least 5 years in data engineering or architecture roles. Hands-on experience with data pipeline tools and cloud platforms (e.g., Azure Data Factory, Azure Databricks, AWS Glue). Proficient in SQL, Python, and ETL processes. Experience in designing data warehouses, data lakes, and creating dashboards using BI tools like Power BI or Tableau. Familiarity with AI/ML technologies for analytics and predictive modeling. Strong understanding of data lifecycle management and compliance requirements. Mandatory Skills: Expertise in managing multi-source data integrations. Knowledge of industry-standard KPI frameworks and dashboarding techniques. Ability to handle client-specific customization requirements. Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies. Additional Information Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies. Soft Skills: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to thrive in a fast-paced, dynamic environment. Leadership qualities to mentor and guide a team effectively.

Role: Data Solutions Architect Location: Thane, India Work Style: Work from Office Start Date: ASAP About the Role We are seeking a hands-on Data Solutions Architect to lead the design and development of a robust data infrastructure for our BPO operations. This role will involve analyzing operational data from multiple sources, designing efficient data pipelines, and creating an adaptable data warehouse or data lake to streamline KPI and dashboard generation. The role demands expertise in data engineering, analytics, and AI technologies to derive actionable insights and support predictive modeling. The ideal candidate will lead the initiative with one or two data engineers while keeping flexibility for client-specific data nuances. Key Responsibilities Collaborate with Workforce Management and Operational teams to analyze data formats and structures from in-house Workforce Management systems or client CRM/WFM systems Design and implement a scalable data warehouse or data lake with appropriate data pipelines. Ensure automated processing of operational data for generating standardized and customizable KPI matrices and dashboards. Lead the creation of systems that allow flexibility for client-specific rules and calculations. Integrate AI/ML solutions for predictive analytics and business insights. Establish data governance and ensure compliance with security and regulatory standards. Monitor data quality and optimize performance across the data ecosystem. Act as a technical leader, mentoring and managing a small team of data engineers. Provide regular updates to stakeholders and collaborate on defining long-term data strategies. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8+ years of IT experience with at least 5 years in data engineering or architecture roles. Hands-on experience with data pipeline tools and cloud platforms (e.g., Azure Data Factory, Azure Databricks, AWS Glue). Proficient in SQL, Python, and ETL processes. Experience in designing data warehouses, data lakes, and creating dashboards using BI tools like Power BI or Tableau. Familiarity with AI/ML technologies for analytics and predictive modeling. Strong understanding of data lifecycle management and compliance requirements. Mandatory Skills: Expertise in managing multi-source data integrations. Knowledge of industry-standard KPI frameworks and dashboarding techniques. Ability to handle client-specific customization requirements. Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies.

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description Key Responsibilities: Assist in managing office facilities, including regular maintenance, cleanliness, and infrastructure support. Coordinate with vendors and service providers for housekeeping, security, pantry, courier, and maintenance needs. Support procurement activities by identifying vendors, obtaining quotations, processing purchase orders, and maintaining records of office supplies, consumables, and services. Track inventory levels and manage timely procurement of supplies and equipment to ensure seamless operations. Support transportation arrangements for employees and visitors, including vehicle scheduling, route planning, and driver coordination. Maintain records related to transportation services, fuel consumption, maintenance schedules, and compliance with transport regulations. Assist in managing travel bookings, accommodation, and logistics for employees and guests as required. Oversee access control systems, ID card issuance, and visitor management processes. Support internal processes for new joiners, including workspace preparation, asset issuance, and orientation support. Coordinate and manage logistics for meetings, events, and internal programs. Ensure compliance with health, safety, and security protocols, including fire safety checks and incident reporting. Maintain organized documentation for procurement, transportation, vendor contracts, facility maintenance logs, and administrative records. Collaborate with internal teams to provide consistent and efficient operational support. Qualifications Qualifications and Experience: Bachelor’s degree or equivalent in Business Administration, Commerce , or a related field. 6 months to 1year of experience in office administration, procurement, or facilities support. Show more Show less

Company Description Quantanite is a specialist business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity. The company is headquartered in London, with delivery centers in Dhaka (Bangladesh), Johannesburg (South Africa) and Thane (India). The current positions are for our Thane, India delivery center. Job Description We are seeking a Python Full Stack developer to be an extension to our team and play a critical role in implementation of several solutions in the form of products, or tools & utilities. The ideal candidate will have a strong experience of end-to-end development of small-scale products & utilities independently. As a Full Stack developer, you will be responsible for front-end and back-end development using various technology and frameworks, working closely with the operations team as well as business analyst, project management and our technology partners. Key Responsibilities Develop, test, and maintain Al apps and machine learning models using Python. Create and maintain Al bots based on custom/ application APls. Implement data manipulation and analysis using libraries such as NumPy and Pandas Troubleshoot and debug Al applications and fine tune models. Participate in code reviews to ensure code quality and share knowledge with the team Stay updated with the latest advancements in Al and machine learning technologies. Ensure that solutions are scalable, maintainable, and meet the best practices for security, performance and data management Stay current with emerging technologies and trends in process automation and make Python Full Stack Developer recommendations for incorporating them into client solutions Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project lifecycle Continuously research emerging technologies and determine credible solution Positively and constructively engage with clients and operations teams where required. Qualifications Experience in Azure. Proficiency in Python as the primary programming language. • Building LLM powered applications in a production environment. Knowledge of Python backend frameworks like Django or Flask, FastAPl etc. Knowledge of LLM internals and good knowledge of LLM ecosystem both private (Open Al, Gemini, Anthropic etc) and open source. Experience with version control systems like Git/ Github, Devops knowledge. Strong experience with NumPy and Pandas libraries for data manipulation and analysis. Solid understanding of machine learning principles and algorithms Preferred candidate profile Experience with Langchain. Knowledge of ReactJS(with Next & TypeScipt) Azure(deployment on webapps, Functions) Familiarity with Hugging Face Transformers for natural language processing. Experience in BPO Outsourcing/ IT outsourcing Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent work experience. 3-5 years of experience in Al, machine learning, and Python development. Proven ability to work independently and as part of a team.

Key Responsibilities: Develop and Fine-Tune LLMs (e.g., GPT-4, Claude, LLaMA, Mistral, Gemini) using instruction tuning, prompt engineering, chain-of-thought prompting, and fine-tuning techniques. Build RAG Pipelines: Implement Retrieval-Augmented Generation solutions leveraging embeddings, chunking strategies, and vector databases like FAISS, Pinecone, Weaviate, and Qdrant. Implement and Orchestrate Agents: Utilize frameworks like MCP, OpenAI Agent SDK, LangChain, LlamaIndex, Haystack, and DSPy to build dynamic multi-agent systems and serverless GenAI applications. Deploy Models at Scale: Manage model deployment using HuggingFace, Azure Web Apps, vLLM, and Ollama, including handling local models with GGUF, LoRA/QLoRA, PEFT, and Quantization methods. Integrate APIs: Seamlessly integrate with APIs from OpenAI, Anthropic, Cohere, Azure, and other GenAI providers. Ensure Security and Compliance: Implement guardrails, perform PII redaction, ensure secure deployments, and monitor model performance using advanced observability tools. Optimize and Monitor: Lead LLMOps practices focusing on performance monitoring, cost optimization, and model evaluation. Work with AWS Services: Hands-on usage of AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch, and serverless computing to deploy and manage scalable AI solutions. Contribute to Use Cases: Develop AI-driven solutions like AI copilots, enterprise search engines, summarizers, and intelligent function-calling systems. Cross-functional Collaboration: Work closely with product, data, and DevOps teams to deliver scalable and secure AI products. Required Skills and Experience: Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini). Strong expertise in Prompt Engineering, Chain-of-Thought reasoning, and Fine-Tuning methods. Proven experience building RAG pipelines and working with modern vector stores ( FAISS, Pinecone, Weaviate, Qdrant ). Hands-on proficiency in LangChain, LlamaIndex, Haystack, and DSPy frameworks. Model deployment skills using HuggingFace, vLLM, Ollama, and handling LoRA/QLoRA, PEFT, GGUF models. Practical experience with AWS serverless services: Lambda, S3, API Gateway, IAM, CloudWatch. Strong coding ability in Python or similar programming languages. Experience with MLOps/LLMOps for monitoring, evaluation, and cost management. Familiarity with security standards: guardrails, PII protection, secure API interactions. Use Case Delivery Experience: Proven record of delivering AI Copilots, Summarization engines, or Enterprise GenAI applications. Experience 6-8 years of experience in AI/ML roles, focusing on LLM agent development, data science workflows, and system deployment. Demonstrated experience in designing domain-specific AI systems and integrating structured/unstructured data into AI models. Proficiency in designing scalable solutions using LangChain and vector databases. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Work Location: In person

About Quantanite Quantanite is a global provider of outsourcing solutions that enable businesses to achieve digital transformation through cutting-edge technology and deep domain expertise. We deliver next-generation AI-driven solutions to optimize front office, back-office and shared services environments. Our mission is to provide innovative, scalable, and cost-effective solutions that enhance operational efficiency and drive business growth. Role Overview We are seeking an experienced Senior Technical Project Manager based in India to coordinate and oversee technical project delivery in collaboration with Nexgai, Quantanite’s technical partner, and our offshore delivery teams. This role is pivotal in ensuring seamless execution of AI-driven transformation programs, requiring strong project leadership, technical fluency, and cross-functional coordination across global stakeholders. Key Responsibilities Drive end-to-end project delivery across AI, automation, and enterprise technology initiatives, ensuring delivery milestones are met on time and within scope. Lead coordination with the Nexgai India team and support offshore project implementation and governance. Translate business requirements into detailed technical implementation plans. Act as the technical liaison between Quantanite delivery teams, Nexgai engineers, and client stakeholders. Manage technical scope, timelines, and resource allocation for multiple concurrent projects. Review and provide input on architecture diagrams, technical documentation, integration strategies, and performance metrics. Identify project risks and lead mitigation planning in alignment with business goals. Facilitate agile ceremonies, technical reviews, sprint planning, and retrospectives. Deliver executive-level reporting on technical progress, risks, and outcomes to the Chief Transformation Officer. Required Qualifications & Experience 8+ years of experience in technical project management, with at least 3 years in a senior/lead role. Demonstrated expertise in managing large-scale enterprise technology projects (preferably in AI, ML, RPA, or enterprise architecture domains). Strong understanding of AI technologies, data pipelines, cloud platforms, APIs, and software engineering practices. Experience managing offshore delivery models and working with cross-functional global teams. Solid technical background with the ability to engage confidently with engineers, data scientists, and solution architects. Proficiency in tools such as Jira, Confluence, MS Project, or similar project management systems. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master’s preferred). Excellent verbal and written communication skills. Preferred Qualifications Certification in PMP, PRINCE2, or Agile (Scrum Master, SAFe). Experience delivering digital transformation projects in the BFSI and retail sectors. Prior experience working with or within an AI solutions company. Why Join Quantanite? Work on groundbreaking AI transformation projects shaping the future of operations. Collaborate with innovative technical partners like Nexgai. Gain global exposure and leadership visibility while working with diverse teams. Be part of a purpose-driven, innovation-led organization with opportunities for career growth. If you're a technically strong project manager who thrives in a fast-paced, innovation-focused environment, we'd love to hear from you. Show more Show less

Key Responsibilities ●Collaborate with Workforce Management and Operational teams to analyze data formats and structures from in-house Workforce Management systems or client CRM/WFM systems ●Design and implement a scalable data warehouse or data lake with appropriate data pipelines. ●Ensure automated processing of operational data for generating standardized and customizable KPI matrices and dashboards. ●Lead the creation of systems that allow flexibility for client-specific rules and calculations. ●Integrate AI/ML solutions for predictive analytics and business insights. ●Establish data governance and ensure compliance with security and regulatory standards. ●Monitor data quality and optimize performance across the data ecosystem. ●Act as a technical leader, mentoring and managing a small team of data engineers. ●Provide regular updates to stakeholders and collaborate on defining long-term data strategies. About the Candidate Education: •Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: •8+ years of IT experience with at least 5 years in data engineering or architecture roles. •Hands-on experience with data pipeline tools and cloud platforms (e.g., Azure Data Factory, Azure Databricks, AWS Glue). •Proficient in SQL, Python, and ETL processes. •Experience in designing data warehouses, data lakes, and creating dashboards using BI tools like Power BI or Tableau. •Familiarity with AI/ML technologies for analytics and predictive modeling. •Strong understanding of data lifecycle management and compliance requirements. Mandatory Skills: •Expertise in managing multi-source data integrations. •Knowledge of industry-standard KPI frameworks and dashboarding techniques. •Ability to handle client-specific customization requirements. Preferred Skills: •Experience in BPO or IT Outsourcing environments. •Knowledge of workforce management tools and CRM integrations. •Hands-on experience with AI technologies and their applications in data analytics. •Familiarity with Agile/Scrum methodologies. Soft Skills: •Strong analytical and problem-solving capabilities. •Excellent communication and stakeholder management skills. •Ability to thrive in a fast-paced, dynamic environment. •Leadership qualities to mentor and guide a team effectively. Job Types: Full-time, Permanent Pay: ₹3,000,000.00 - ₹3,800,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Work Location: In person

About the Company Implement Architecture and design from definition phase to go-live phase. About the Role Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams’ efforts where required. Responsibilities Implement Architecture and design from definition phase to go-live phase. Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams’ efforts where required. Qualifications A Bachelor's degree in Computer Science, Software Engineering, or a related field Required Skills Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc. Proficient in programming languages like Python (Full Stack exposure) Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store Experience in implementing and deploying applications on Azure Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git Experience with different development methodologies (RUP | Scrum | XP) Preferred Skills None specified Pay range and compensation package None specified Equal Opportunity Statement Include a statement on commitment to diversity and inclusivity. Show more Show less

Job Summary: We are seeking a responsible and dependable Office Boy to handle day-to-day office support tasks, maintain cleanliness, and assist with employee transportation when required. The candidate should be proactive, punctual, and able to manage multiple tasks efficiently. Key Responsibilities: Maintain cleanliness and hygiene of office premises, including pantry, workstations, washrooms, and common areas. Serve tea, coffee, and water to staff and visitors. Assist with basic administrative tasks such as photocopying, filing, and internal document delivery. Set up meeting rooms as per requirements (e.g., seating arrangement, refreshments, stationery). Monitor and maintain pantry supplies; ensure cleanliness and availability. Dispatch and collect documents/packages from courier services or vendors. Support office errands and coordinate with the admin team as needed. Assist in dropping employees to their home locations during late working hours or as per schedule (company cab/support vehicle). Ensure safety and comfort of employees during transportation. Requirements: Minimum qualification: High school pass or equivalent. Basic knowledge of office hygiene and maintenance. Good interpersonal skills and cooperative attitude. Punctual, disciplined, and trustworthy. Flexibility with work hours (especially in case of late drops). Prior experience in a similar role is preferred. Familiarity with city routes is an added advantage. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹14,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Night shift Work Location: In person

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description About the Role As a DevOps Engineer you will work closely with our global teams to learn about the business and technical requirements and formulate the necessary infrastructure and resource plans to properly support the growth and maintainability of various systems. Key Responsibilities Implement a diverse set of development, testing, and automation tools, as well as manage IT infrastructure. Plan the team structure and activities, and actively participate in project management. Comprehend customer requirements and project Key Performance Indicators (KPIs). Manage stakeholders and handle external interfaces effectively. Set up essential tools and infrastructure to support project development. Define and establish DevOps processes for development, testing, release, updates, and support. Possess the technical expertise to review, verify, and validate software code developed in the project. Engage in software engineering tasks, including designing and developing systems to enhance reliability, scalability, and operational efficiency through automation. Collaborate closely with agile teams to ensure they have the necessary tools for seamless code writing, testing, and deployment, promoting satisfaction among development and QA teams. Monitor processes throughout their lifecycle, ensuring adherence, identifying areas for improvement, and minimizing wastage. Advocate and implement automated processes whenever feasible. Identify and deploy cybersecurity measures by continuously performing vulnerability assessments and managing risk. Handle incident management and conduct root cause analysis for continuous improvement. Coordinate and communicate effectively within the team and with customers. Build and maintain continuous integration (CI) and continuous deployment (CD) environments, along with associated processes and tools. Qualifications About the Candidate Proven 5 years of experience with Linux based infrastructure and proficient in scripting language. Must have solid cloud computing skills such as network management, cloud computing and cloud databases in any one of the public clouds (AWS, Azure or GCP) Must have hands-on experience in setting up and managing cloud infrastructure like Kubernetes, VPC, VPN, Virtual Machines, Cloud Databases etc. Experience in IAC (Infrastructure as Code) tools like Ansible, Terraform. Must have hands-on experience in coding and scripting in at least one of the following: Shell, Python, Groovy Experience as a DevOps Engineer or similar software engineering role. Experienced in establishing an optimized CI / CD environment relevant to the project. Automation using scripting language like Perl/python and shell scripts like BASH and CSH. Good knowledge of configuration and building tools like Bazel, Jenkins etc. Good knowledge of repository management tools like Git, Bit Bucket etc. Good knowledge of monitoring solutions and generating insights for reporting Excellent debugging skills/strategies. Excellent communication skills. Experienced in working in an Agile environment. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development At Quantanite, youʼll have a personal development plan to help you improve in the areas youʼre looking to develop in over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. Youʼll also have the opportunity to progress internally. As a fast growing organisation, our teams are growing, and youʼll have the chance to take on more responsibility over time. So, if youʼre looking for a career full of purpose and potential, weʼd love to hear from you!

About The Company Implement Architecture and design from definition phase to go-live the Role : Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : Implement Architecture and design from definition phase to go-live phase. Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : A Bachelor's degree in Computer Science, Software Engineering, or a related Skills : Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc. Proficient in programming languages like Python (Full Stack exposure) Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store Experience in implementing and deploying applications on Azure Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git Experience with different development methodologies (RUP | Scrum | Skills : None range and compensation package : None Opportunity Statement : Include a statement on commitment to diversity and inclusivity. (ref:hirist.tech) Show more Show less

About Company - Quantanite is a customer experience (CX)solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity. About Job Role Were seeking a skilled backend developer to join our team and contribute to our server-side development processes. You will be responsible for designing and maintaining scalable web services, managing databases, and collaborating with stakeholders to ensure seamless integration between the front and back end. As part of a cross-functional team, you'll work closely with front-end developers, AI Engineers, and DevOps professionals to enhance functionality, optimize workflows, and deliver high-quality web applications. Key Responsibilities Backend developers are responsible for maintaining robust server-side logic and ensuring optimal application functionality. Core duties include : Develop and maintain server-side applications. Build scalable and secure web services using backend programming languages like Python or Node.js. Manage databases and data storage. Optimize database performance using tools such as Postgres, MySQL, MongoDB, or SQL Server while ensuring secure and reliable data management. Collaborate with team members. Work closely with front-end developers, designers, and project managers to ensure alignment between server-side functionality and user interfaces. Implement APIs and frameworks. Design and implement RESTful APIs to facilitate communication between server-side applications and end-user systems. Conduct troubleshooting and debugging. Identify and resolve performance bottlenecks, security vulnerabilities, and server-side errors to maintain system stability. Optimize scalability and workflows. Develop reusable code and scalable solutions to accommodate future growth. Qualifications And Skills To excel as a backend developer, candidates should meet the following qualifications : Education : A bachelors degree in computer science, software engineering, or a related field. Certifications in backend frameworks or cloud platforms (e.g., AWS or Azure) are a plus. Work experience : At least 2-3 years of professional experience in backend web development, including familiarity with the full software development lifecycle. Technical skills : Proficiency in backend programming languages (e.g., Python, Pandas, FastAPI), database management (e.g., MongoDB, MySQL), and version control tools like Git. Experience with frameworks like FastAPI or Node.js is highly valued. Soft skills : Strong problem-solving and communication skills to collaborate effectively with team members and stakeholders (ref:hirist.tech) Show more Show less

Role & Responsibilities GenAI Solution Development : Design, build, fine-tune, and evaluate generative AI models (e.g., LLMs, diffusion models) for specific business use cases. Apply prompt engineering and model optimization techniques for performance and cost-efficiency Platform Integration & Enhancement Work with and improve Quantanite's MoBIUS Generative AI Platform. Bridge R&D (QLabs) and production-ready solutions. Cross-Functional Collaboration Partner with teams across different business pillars to gather requirements and integrate GenAI into workflows. Human-Centric AI Design Design AI tools that enhance user experience and augment human capabilities. Prioritize ethical AI and employee engagement in solution design. Research & Prototyping Stay current with GenAI trends and tools; prototype emerging technologies, often within QLabs. Performance Monitoring & Optimization Monitor deployed models for efficiency, accuracy, and impact on business metrics. Continuously iterate for improvements. Ethical AI & Governance Ensure AI systems follow best practices regarding fairness, transparency, privacy, and bias mitigation. Preferred Candidate Profile Advanced Education : Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Domain Experience Prior experience applying AI/ML solutions within domains directly relevant to Quantanite's core service offerings : Customer Experience (CX), Contact Centers, Sales Automation/CRM, Business Process Outsourcing (BPO), Data Annotation/Management, or HR Technology. 1 Experience in these areas allows for a quicker understanding of business needs and faster value delivery : Platform Development Experience : Experience contributing to the development of scalable AI/ML platforms, MLOps infrastructure, or internal AI tooling. This is particularly relevant given the role's interaction with the MoBIUS platform.1 Full-Stack Familiarity : A broader understanding of software development principles, including experience with API design/development (e.g., RESTful APIs), containerization (e.g., Docker, Kubernetes), and potentially front-end components for integrating AI models into user-facing applications. Publications/Contributions : Contributions to the AI/ML community through publications in relevant conferences/journals or significant contributions to open-source projects. (ref:hirist.tech) Show more Show less

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description About the Role As a DevOps Engineer you will work closely with our global teams to learn about the business and technical requirements and formulate the necessary infrastructure and resource plans to properly support the growth and maintainability of various systems. Key Responsibilities Implement a diverse set of development, testing, and automation tools, as well as manage IT infrastructure. Plan the team structure and activities, and actively participate in project management. Comprehend customer requirements and project Key Performance Indicators (KPIs). Manage stakeholders and handle external interfaces effectively. Set up essential tools and infrastructure to support project development. Define and establish DevOps processes for development, testing, release, updates, and support. Possess the technical expertise to review, verify, and validate software code developed in the project. Engage in software engineering tasks, including designing and developing systems to enhance reliability, scalability, and operational efficiency through automation. Collaborate closely with agile teams to ensure they have the necessary tools for seamless code writing, testing, and deployment, promoting satisfaction among development and QA teams. Monitor processes throughout their lifecycle, ensuring adherence, identifying areas for improvement, and minimizing wastage. Advocate and implement automated processes whenever feasible. Identify and deploy cybersecurity measures by continuously performing vulnerability assessments and managing risk. Handle incident management and conduct root cause analysis for continuous improvement. Coordinate and communicate effectively within the team and with customers. Build and maintain continuous integration (CI) and continuous deployment (CD) environments, along with associated processes and tools. Qualifications About the Candidate Proven 5 years of experience with Linux based infrastructure and proficient in scripting language. Must have solid cloud computing skills such as network management, cloud computing and cloud databases in any one of the public clouds (AWS, Azure or GCP) Must have hands-on experience in setting up and managing cloud infrastructure like Kubernetes, VPC, VPN, Virtual Machines, Cloud Databases etc. Experience in IAC (Infrastructure as Code) tools like Ansible, Terraform. Must have hands-on experience in coding and scripting in at least one of the following: Shell, Python, Groovy Experience as a DevOps Engineer or similar software engineering role. Experienced in establishing an optimized CI / CD environment relevant to the project. Automation using scripting language like Perl/python and shell scripts like BASH and CSH. Good knowledge of configuration and building tools like Bazel, Jenkins etc. Good knowledge of repository management tools like Git, Bit Bucket etc. Good knowledge of monitoring solutions and generating insights for reporting Excellent debugging skills/strategies. Excellent communication skills. Experienced in working in an Agile environment. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development At Quantanite, youʼll have a personal development plan to help you improve in the areas youʼre looking to develop in over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. Youʼll also have the opportunity to progress internally. As a fast growing organisation, our teams are growing, and youʼll have the chance to take on more responsibility over time. So, if youʼre looking for a career full of purpose and potential, weʼd love to hear from you! Show more Show less

About Quantanite Quantanite is a customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We are an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed-up with exceptional results. We have big dreams, and are constantly looking for new colleagues to join us who share our values, passion and appreciation for diversity. About The Role As a DevOps Engineer you will work closely with our global teams to learn about the business and technical requirements and formulate the necessary infrastructure and resource plans to properly support the growth and maintainability of various systems. Key Responsibilities Implement a diverse set of development, testing, and automation tools, as well as manage IT infrastructure. Plan the team structure and activities, and actively participate in project management. Comprehend customer requirements and project Key Performance Indicators (KPIs). Manage stakeholders and handle external interfaces effectively. Set up essential tools and infrastructure to support project development. Define and establish DevOps processes for development, testing, release, updates, and support. Possess the technical expertise to review, verify, and validate software code developed in the project. Engage in software engineering tasks, including designing and developing systems to enhance reliability, scalability, and operational efficiency through automation. Collaborate closely with agile teams to ensure they have the necessary tools for seamless code writing, testing, and deployment, promoting satisfaction among development and QA teams. Monitor processes throughout their lifecycle, ensuring adherence, identifying areas for improvement, and minimizing wastage. Advocate and implement automated processes whenever feasible. Identify and deploy cybersecurity measures by continuously performing vulnerability assessments and managing risk. Handle incident management and conduct root cause analysis for continuous improvement. Coordinate and communicate effectively within the team and with customers. Build and maintain continuous integration (CI) and continuous deployment (CD) environments, along with associated processes and tools. About The Candidate Qualifications and Skills : Proven 5 years of experience with Linux based infrastructure and proficient in scripting language. Must have solid cloud computing skills such as network management, cloud computing and cloud databases in any one of the public clouds (AWS, Azure or GCP) Must have hands-on experience in setting up and managing cloud infrastructure like Kubernetes, VPC, VPN, Virtual Machines, Cloud Databases etc. Experience in IAC (Infrastructure as Code) tools like Ansible, Terraform. Must have hands-on experience in coding and scripting in at least one of the following : Shell, Python, Groovy Experience as a DevOps Engineer or similar software engineering role. Experienced in establishing an optimized CI / CD environment relevant to the project. Automation using scripting language like Perl/python and shell scripts like BASH and CSH. Good knowledge of configuration and building tools like Bazel, Jenkins etc. Good knowledge of repository management tools like Git, Bit Bucket etc. Good knowledge of monitoring solutions and generating insights for reporting Excellent debugging skills/strategies. Excellent communication skills. Experienced in working in an Agile environment. Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress : Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement : Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development : We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events : Regular team and organisation-wide get-togethers and events. Value orientation : Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. (ref:hirist.tech) Show more Show less

About Job Role We are seeking a Python Full Stack developer to be an extension to our team and play a critical role in implementation of several solutions in the form of products, or tools & utilities. The ideal candidate will have a strong experience of end-to-end development of small-scale products & utilities independently. As a Full Stack developer, you will be responsible for front-end and back-end development using various technology and frameworks, working closely with the operations team as well as business analyst, project management and our technology partners. Key Responsibilities Develop, test, and maintain Al apps and machine learning models using Python. Create and maintain Al bots based on custom/ application APls. Implement data manipulation and analysis using libraries such as NumPy and Pandas. Troubleshoot and debug Al applications and fine tune models. Participate in code reviews to ensure code quality and share knowledge with the team. Stay updated with the latest advancements in Al and machine learning technologies. Ensure that solutions are scalable, maintainable, and meet the best practices for security, performance and data management. Stay current with emerging technologies and trends in process automation and make Python Full Stack Developer recommendations for incorporating them into client solutions. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project lifecycle. Continuously research emerging technologies and determine credible solution. Positively and constructively engage with clients and operations teams where required. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent work experience. 3-5 years of experience in Al, machine learning, and Python development. Proven ability to work independently and as part of a team. Required Skills Proficiency in Python as the primary programming language. Building LLM powered applications in a production environment. Knowledge of Python backend frameworks like Django or Flask, FastAPl etc. Knowledge of LLM internals and good knowledge of LLM ecosystem both private (Open Al, Gemini, Anthropic etc) and open source. Experience with version control systems like Git/ Github, Devops knowledge. Strong experience with NumPy and Pandas libraries for data manipulation and analysis. Solid understanding of machine learning principles and algorithms. Qualifications Nice-to-Have Skills Experience with Langchain. Knowledge of ReactJS(with Next & TypeScipt) Azure(deployment on webapps, Functions) Familiarity with Hugging Face Transformers for natural language processing. Experience in BPO Outsourcing/ IT outsourcing Additional Information Why Join Us: At Quantanite, you will be part of a vibrant and forward-thinking team that values innovation, efficiency, and excellence. This is an excellent opportunity for someone looking to grow their career in recruitment while working in an international, collaborative environment. If you are an organized, proactive professional with a passion for recruitment, we invite you to apply and join our dynamic team. (ref:hirist.tech) Show more Show less

About Quantanite Quantanite is a global provider of outsourcing solutions that enable businesses to achieve digital transformation through cutting-edge technology and deep domain expertise. We deliver next-generation AI-driven solutions to optimize front office, back-office and shared services environments. Our mission is to provide innovative, scalable, and cost-effective solutions that enhance operational efficiency and drive business growth. Role Overview We are seeking an experienced Senior Technical Project Manager based in India to coordinate and oversee technical project delivery in collaboration with Nexgai, Quantanites technical partner, and our offshore delivery teams. This role is pivotal in ensuring seamless execution of AI-driven transformation programs, requiring strong project leadership, technical fluency, and cross-functional coordination across global stakeholders. Key Responsibilities Drive end-to-end project delivery across AI, automation, and enterprise technology initiatives, ensuring delivery milestones are met on time and within scope. Lead coordination with the Nexgai India team and support offshore project implementation and governance. Translate business requirements into detailed technical implementation plans. Act as the technical liaison between Quantanite delivery teams, Nexgai engineers, and client stakeholders. Manage technical scope, timelines, and resource allocation for multiple concurrent projects. Review and provide input on architecture diagrams, technical documentation, integration strategies, and performance metrics. Identify project risks and lead mitigation planning in alignment with business goals. Facilitate agile ceremonies, technical reviews, sprint planning, and retrospectives. Deliver executive-level reporting on technical progress, risks, and outcomes to the Chief Transformation Officer. Required Qualifications & Experience 8+ years of experience in technical project management, with at least 3 years in a senior/lead role. Demonstrated expertise in managing large-scale enterprise technology projects (preferably in AI, ML, RPA, or enterprise architecture domains). Strong understanding of AI technologies, data pipelines, cloud platforms, APIs, and software engineering practices. Experience managing offshore delivery models and working with cross-functional global teams. Solid technical background with the ability to engage confidently with engineers, data scientists, and solution architects. Proficiency in tools such as Jira, Confluence, MS Project, or similar project management systems. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Masters preferred). Excellent verbal and written communication skills. Preferred Qualifications Certification in PMP, PRINCE2, or Agile (Scrum Master, SAFe). Experience delivering digital transformation projects in the BFSI and retail sectors. Prior experience working with or within an AI solutions company. Why Join Quantanite? Work on groundbreaking AI transformation projects shaping the future of operations. Collaborate with innovative technical partners like Nexgai. Gain global exposure and leadership visibility while working with diverse teams. Be part of a purpose-driven, innovation-led organization with opportunities for career growth. If you're a technically strong project manager who thrives in a fast-paced, innovation-focused environment, we'd love to hear from you. (ref:hirist.tech)

Company Description The Quantanite group is a multinational company headquartered in London providing customer support, business process outsourcing and lead generation services. We have off ices in the UK, Bangladesh, South Africa, India, and the United States. The Group Corporate Governance, Compliance, and Finance Reporting Manager is a key leadership role within the Group Finance team, responsible for ensuring strong governance practices, statutory compliance across jurisdictions (with a focus on India, UK, and US), and the accuracy and timeliness of group-level financial reporting. The role directly reports to the Group Financial Controller and will also support FP&A processes to ensure alignment between strategic goals, financial compliance, and reporting excellence. The position is hybrid (within India, near Thane off ice), working closely with the international finance and local team in India. Job Description Main Responsibilities includes but not limited to: Corporate Governance & Compliance Maintain group governance frameworks, board registers, policies, and authorisation hierarchies, board documentation and minutes support. Liaise with legal, secretarial, and regulatory bodies to ensure entity-level compliance. Oversee statutory compliance across jurisdictions, including corporate filings and documentation support. Financial Reporting (Group & Local) Lead preparation and consolidation of group financial reports, ensuring accuracy and consistency. Manage the year-end reporting process, including coordination with local teams and auditors. Standardise reporting tools and deliver insights for executive and board-level reporting. Internal Controls & Risk Governance Support implementation and monitoring of financial controls and compliance policies. Assist in risk reviews, anti-fraud compliance, and policy documentation across the group. Conduct governance training and track control deficiencies and remediation eff orts. 4. India Local Compliance Oversight Coordinate statutory and tax compliance in India (ROC, GST, TDS, transfer pricing, etc.). Ensure accurate and timely regulatory filings and manage external advisors’ inputs. Collaborate with the finance team to manage India’s compliance calendar and obligations. FP&A and Strategic Finance Support Align reporting and budgeting processes with compliance and governance requirements. Contribute governance insights into forecasts, board packs, and strategic planning. Partner with FP&A to support executive decision-making and financial performance reviews. Key relationships: Internal and external Group Financial Controller Group Finance Manager and Head of Group FP&A Senior Management team Global finance team Global HR and IT team Global Sales, Marketing and Operations team Departmental Leaders (Budget Owners) External suppliers and customers Qualifications Technical and Experience requirements: CA/CPA/ACCA qualified with more than 5 years hands-on experience in finance, compliance, and reporting, preferably within a company in the service industry. Strong understanding of IFRS/local GAAP, corporate governance, and multi-entity reporting. Experience working across international entities, with direct India compliance exposure preferred. Must be a self-starter, with an exemplary can-do, problem-solving attitude. A team player with excellent communication skills. Exposure and good understanding of finance operations processes (AR, GL, and AP) Competent English language (written and spoken). G-suite (now Google Workspace) familiarity specially GoogleSheets is a plus. Demonstrable experience in the accounting softwares - SAP, NetSuite, etc. (Xero would be considered an advantage) Would be great to have: US and UK company exposures. Exposure to working with an international team and some foreign language skills. Experience in Business Process Outsourcing (BPO) or Enterprise IT services.

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description About the Role: We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, MLOps/LLMOps, and end-to-end GenAI application development. In this role, you will design, develop, fine-tune, deploy, and optimize state-of-the-art AI solutions across diverse enterprise use cases including AI Copilots, Summarization, Enterprise Search, and Intelligent Tool Orchestration. Key Responsibilities: Develop and Fine-Tune LLMs (e.g., GPT-4, Claude, LLaMA, Mistral, Gemini) using instruction tuning, prompt engineering, chain-of-thought prompting, and fine-tuning techniques. Build RAG Pipelines: Implement Retrieval-Augmented Generation solutions leveraging embeddings, chunking strategies, and vector databases like FAISS, Pinecone, Weaviate, and Qdrant. Implement and Orchestrate Agents: Utilize frameworks like MCP, OpenAI Agent SDK, LangChain, LlamaIndex, Haystack, and DSPy to build dynamic multi-agent systems and serverless GenAI applications. Deploy Models at Scale: Manage model deployment using HuggingFace, Azure Web Apps, vLLM, and Ollama, including handling local models with GGUF, LoRA/QLoRA, PEFT, and Quantization methods. Integrate APIs: Seamlessly integrate with APIs from OpenAI, Anthropic, Cohere, Azure, and other GenAI providers. Ensure Security and Compliance: Implement guardrails, perform PII redaction, ensure secure deployments, and monitor model performance using advanced observability tools. Optimize and Monitor: Lead LLMOps practices focusing on performance monitoring, cost optimization, and model evaluation. Work with AWS Services: Hands-on usage of AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch, and serverless computing to deploy and manage scalable AI solutions. Contribute to Use Cases: Develop AI-driven solutions like AI copilots, enterprise search engines, summarizers, and intelligent function-calling systems. Cross-functional Collaboration: Work closely with product, data, and DevOps teams to deliver scalable and secure AI products. Qualifications Required Skills and Experience: 3-5 years of experience in AI/ML roles, focusing on LLM agent development, data science workflows, and system deployment. Demonstrated experience in designing domain-specific AI systems and integrating structured/unstructured data into AI models. Proficiency in designing scalable solutions using LangChain and vector databases. Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini). Strong expertise in Prompt Engineering, Chain-of-Thought reasoning, and Fine-Tuning methods. Proven experience building RAG pipelines and working with modern vector stores (FAISS, Pinecone, Weaviate, Qdrant). Hands-on proficiency in LangChain, LlamaIndex, Haystack, and DSPy frameworks. Model deployment skills using HuggingFace, vLLM, Ollama, and handling LoRA/QLoRA, PEFT, GGUF models. Practical experience with AWS serverless services: Lambda, S3, API Gateway, IAM, CloudWatch. Strong coding ability in Python or similar programming languages. Experience with MLOps/LLMOps for monitoring, evaluation, and cost management. Familiarity with security standards: guardrails, PII protection, secure API interactions. Use Case Delivery Experience: Proven record of delivering AI Copilots, Summarization engines, or Enterprise GenAI applications. Additional Information Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies. Soft Skills: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to thrive in a fast-paced, dynamic environment.

Semi-qualified accountant, qualified by experience (or with finance/accounting degree) with solid technical skills and ability to partner with commercial and operational stakeholders in a fast paced, growing SME international environment. Health insurance Provident fund