Scouting for a Solution Architect to join an AI services company. An exciting role for someone with a strong passion for Data Ingestion, Architecture, Design and Governance within the life sciences domain.

Key responsibilities

• Own end to end architecture across ingestion, transformation, semantic/ontology and visualization layers, producing HLDs, LLDs and data flow diagrams.

• Build scalable cloud native pipelines and microservice based APIs for unstructured/structured data, NLP extraction, and high performance dashboards and analytics.

• Drive security, responsible AI, Compliance, and cross functional collaboration to translate requirements into sprint ready technical designs.

Ideal Background

• 10+ years in architecture across cloud, data, analytics, and application integration with strong AWS (Lambda, S3, API Gateway, IAM, EKS, Textract, Bedrock) and Databricks/Delta Lake/ETL expertise.

• Hands-on with NLP/AI extraction pipelines, microservices/APIs, and BI tools (Power BI, Tableau, Looker), ideally in scientific, medical, clinical, or other regulated data heavy domains.

• Proven leadership in architecture decision-making, aligning global Agile teams, and communicating complex designs to diverse stakeholders.

• Cloud architecture (AWS preferred), data/analytics/NLP, and Agile/Scrum certifications (PSM/CSM) are strong pluses.

We are seeking a GenAI leader for one of our clients who is a global technology company in Financial Services.

Role Overview:

The Chief GenAI Officer will lead the organization’s Generative AI strategy, overseeing innovation, implementation, and governance. This role is responsible for integrating Generative AI (GenAI) technologies into core business functions to drive efficiency, innovation, and competitive differentiation; while ensuring ethical, compliant, and responsible use of AI.

Key Responsibilities:

• Define and execute the organization’s enterprise-wide Generative AI vision and roadmap.
• Translate business priorities into actionable GenAI initiatives that drive measurable value.
• Oversee design, development, and deployment of GenAI-powered systems, applications, and copilots.
• Establish AI ethics, data governance, and risk frameworks aligned with global regulations (GDPR, AI Act, etc.).
• Build and lead a multidisciplinary AI team of data scientists, engineers, prompt designers.
• Identify new revenue streams, operational efficiencies, and customer experience enhancements enabled by GenAI.
• Oversee research initiatives in Generative AI, Large Language Models (LLMs), and multimodal systems.
• Author and supervise the publication of whitepapers, technical papers, and AI innovation reports to showcase organizational thought leadership.
• Lead patent development and IP portfolio creation for proprietary GenAI technologies, frameworks, and use cases.

Qualifications & Experience:

• Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or related field.
• 15+ years in data science, including 3–5 years in AI leadership roles.
• Strong understanding of LLMs, NLP, multimodal models, retrieval-augmented generation (RAG), and enterprise AI platforms.
• Demonstrated success in leading cross-functional teams and large-scale initiatives.
• Deep knowledge of AI ethics, data privacy, and emerging regulatory frameworks.
• Excellent stakeholder management and communication skills.

About the Role:
We are seeking a Lead or Principal Data Scientist to join a global fintech organization focused on transforming the asset and wealth management space. The ideal candidate will bring deep expertise in Generative AI and Large Language Models (LLMs) to fine-tune models and deliver intelligent, personalized user experiences.

Key Responsibilities:

• Collaborate closely with design and product teams to build and optimize conversational AI experiences.

• Fine-tune models using LoRA and advanced RAG frameworks with data tailored to specific business use cases.

• Drive innovation in Generative AI and NLP to enhance product capabilities and scalability.

Required Qualifications:

• Over 10 years of total work experience with a Master’s or Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.

• 5–8 years of experience in Machine Learning, Deep Learning, Text Mining, and NLP.

• 2+ years of hands-on experience working with LLMs and Generative AI, with proven expertise in building conversational AI products or platforms.

• Familiarity with financial concepts and investing is a strong advantage, though not mandatory.

About the role

The role involves designing, developing, and deploying machine learning models that drive data-driven
decision-making across the organization’s products and platforms. The candidate will focus on building robust,
scalable ML solutions for prediction, classification, and optimization use cases. The role requires a
blend of technical expertise, analytical thinking, and business understanding to deliver measurable
impact.

Roles & Responsibilities

• Design, develop, train, test, and deploy end-to-end ML models for production-scale applications.R
• Work across the entire ML lifecycle – from data ingestion and feature engineering to model training, evaluation, and deployment.
• Build and maintain MLOps pipelines for scalable and reliable model deployment in real-time environments.
• Collaborate with cross-functional teams (engineering, product, and data) to translate business problems into ML solutions.
• Evaluate and optimize model performance, ensuring efficiency, scalability, and robustness.
• Stay updated on the latest trends in AI/ML, model monitoring, and automation frameworks.
• Experience in building real-time inference pipelines and production-grade ML systems.
• Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD for ML.
• Excellent analytical and problem-solving skills with attention to scalability and performance.

Educational Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field from a Tier 1 institution.

• Minimum 5–8 years of hands-on experience in machine learning and data science.
• Strong expertise in Python, SQL, and machine learning libraries such as Scikit-learn,
  TensorFlow, and PyTorch.
• Experience with data processing tools (Pandas, NumPy, Spark) and visualization frameworks
  (Tableau, Power BI, or Matplotlib).
• Deep understanding of model evaluation metrics, statistical inference, and feature
  engineering.
• Hands-on experience with MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, CI/CD
  pipelines).
• Familiarity with cloud platforms such as AWS, Azure, or GCP for model deployment.
• Exposure to NLP, computer vision, or time-series models is an added advantage.

Hyderabad / Remote

Job Role:
‍The role involves designing, building, and fine-tuning large language models (LLMs) for both text and voice-based applications. The candidate will drive innovation in generative AI solutions, implement end-to-end ML pipelines, and ensure reliability, scalability, and ethical AI deployment across AI initiatives.

Roles & Responsibilities:

• Design, develop, and deploy large language models (LLMs) for both text and voice use cases.
• Implement fine-tuning, prompt engineering, and optimization for domain-specific Gen AI solutions.
• Architect and manage ML systems leveraging neural networks and transformer architectures.

• Drive implementation of Retrieval-Augmented Generation (RAG) systems and AI agents.

• Collaborate with cross-functional teams to build scalable AI products.

• Conduct data preprocessing, model evaluation, and continuous model improvement.

• Lead projects on responsible AI deployment, bias detection, and model governance.

• Mentor junior engineers and contribute to the AI/ML Centre of Excellence

Education Qualification & Experience: 

• Bachelor’s or Master’s degree from any Tier 1 institution

• Minimum 5-10 Years of hands-on experience with LLM fine-tuning, prompt engineering, and generative AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI)

• Deep understanding of Neural Networks and Transformer-based architectures (GPT, BERT, Llama, etc.)

• Experience building AI systems for both Voice and Text modalities

• Proficiency in Python, TensorFlow, PyTorch, Hugging Face, and related ML frameworks

• Strong understanding of RAG systems and vector databases (Pinecone, Weaviate, ChromaDB)

• Expertise in ML Ops, model deployment, and monitoring (Kubernetes, Docker, CI/CD)

• Knowledge of cloud-based AI services (AWS Sagemaker, Azure ML, GCP Vertex AI)

• Familiarity with NLP, Speech Recognition, and Conversational AI

• Sound understanding of AI ethics, governance, and compliance

Scouting for an experienced GenAI Engineering Manager for a global investment management firm who is ranked amongst the largest hedge funds.

Key Responsibilities:

• Lead end-to-end development of GenAI applications, solving complex technical problems while driving timely, high-quality project delivery.

• Understand the technical needs of diverse internal teams, evaluate emerging open-source technologies, and integrate them into scalable, production-grade systems.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
• With 7–15 years of relevant industry experience, with a strong background in software engineering and AI application development.
• Proven experience in developing intelligent agents, integrating large language models (LLMs) into real-world products, and building GenAI infrastructure components (e.g., LLM_Gatways).

• Proficient in Python, Java or C++ with strong coding and debugging skills.

• Familiarity with frameworks such as LangChain and LangGraph.

• Solid foundation in backend engineering, data structures, and algorithms.

• Deep understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Claude), fine-tuning techniques (e.g., LoRA, PEFT), and vector search tools (e.g., FAISS, Weaviate, Pinecone)

We’re seeking a dynamic Client Partner to lead and grow a key account portfolio in the Life Sciences and Healthcare space. This is a fantastic opportunity to join a leading services and consulting company specializing in product development and custom software solutions for organizations of all sizes. The role will focus on ensuring seamless delivery while driving strategic account expansion.

Key Requirements:

• Proven track record of transitioning from a delivery background into account management.
• Hands-on approach to delivery excellence, ensuring projects meet or exceed client expectations.
• Experience managing end-to-end account growth, including revenue generation and relationship building.
• Full P&L responsibility for a $5 million business unit.
• Prior experience in the Life Sciences and/or Healthcare sector.
• Minimum of 10 years of relevant experience in IT services or consulting.
• Knowledge of cloud or data engineering services.

The Role

We are looking for a Head Generative AI CoE for one of the fastest-growing Data & Analytics services and consulting organizations.

Job Location Bangalore/Chennai

Key Responsibilities

– Build, scale, and lead the Generative AI CoE as a strategic capability within the organization.

– Define and drive the long-term vision, roadmap, and investment strategy for GenAI across verticals.

– Develop scalable, secure, and ethical GenAI-powered solutions across use cases in marketing, customer experience, content automation, product design, R&D, and enterprise productivity.

Partner with sales, account teams, and clients to identify opportunities, define problem statements, and drive solution proposals.

– Partner with sales, account teams, and clients to identify opportunities, define problem statements, and drive solution proposals.

– Stay abreast of evolving GenAI trends, tools, ethical implications, and use cas

Key Qualifications

12 – 18 years of experience in AI/ML, with at least 2-4 years in hands-on or leadership roles in Generative AI.

– Strong understanding of LLMs (GPT, LLaMA, Claude, etc.), embeddings, prompt engineering, RAG, transformers, and foundation model fine-tuning

– Proven track record in delivering GenAI solutions to enterprise clients across sectors.

– Excellent communication, stakeholder management, and executive presence.

Interested candidates please write to me at preetha@rinalytics.com

We’re seeking an exceptional technology and AI leader to join one of our clients — a highly accomplished founder who previously built one of the largest AI-driven education platforms in the Global South, impacting over 190 million students through deep-tech innovation and large-scale public deployment. Following the successful integration of the first venture into a global digital ecosystem, this founder is now embarking on a bold new initiative at the intersection of sovereign GenAI, human capital, and real-world systems design.

Key Highlights:

• Opportunity to join as a Co-Founder & CTO and shape the technology strategy and roadmap from the ground up.
• Partner with a visionary founder who brings a systems-level perspective and a proven track record of scaling deep-tech solutions with social impact.
• Focus on building solutions that integrate AI, data, and systems design to tackle large-scale real-world challenges.
• Flexible, co-creative approach: the founder is open to complementary ideas, new perspectives, and joint vision building.
• Ideal partner has a strong background in AI, technology leadership, and product development.
• A passion for impactful innovation that scales across human capital, technology, and policy landscapes.

If you’re an entrepreneurial technology leader ready to embark on a transformative journey with a like-minded founder, let’s connect.

We have been retained for an exclusive search to identify a visionary Global Head – Delivery Operations to lead one of the fastest-growing Data & Analytics services and consulting organizations. This high-impact role will spearhead large-scale delivery excellence and revenue growth, with a focus on AI, data platforms, and analytics solutions.

Key Requirements:

• Proven experience in leading global delivery operations for Data & Analytics, with a focus on hyperscalers and data platforms.
• Domain expertise in one or more of the following: CPG/Retail, Manufacturing, Finance, Healthcare, and Technology.
• Demonstrated experience as a GTM leader with a strong focus on driving revenue growth.
• Exceptional communication and stakeholder management skills, with the ability to drive large, complex transformation initiatives.
• Based in or willing to relocate to Bangalore.

We’re seeking a dynamic, results-driven Sales Hunter with a strong background in Retail and CPG to drive new business growth across the Midwest region. This is a fantastic opportunity for a proven sales professional passionate about data, AI, and cloud solutions to make an impact in a high-growth environment.

Key Requirements:

• Proven track record of acquiring new logos in the Midwest region.
• Must have experience selling services in at least one or more of the following areas: data, data engineering, AI, or cloud.
• Background should be from an IT services and consulting company; candidates from BPO/BPM backgrounds will not be considered.
• Demonstrated go-getter attitude with a hunter mindset.
• Majority of domain experience must be in the Retail and/or CPG sectors.
• Minimum of 10 years of relevant sales experience.

Key Requirements:

• Lead and mentor a high-performing data engineering team, driving best practices and ensuring scalability in large-scale data projects, with 2+ years in a leadership role.

• Over 8+ years of hands-on experience in building robust data pipelines, optimizing data models, and ensuring governance, security, and performance.

• Extensive global exposure with expertise in Azure (preferred) for architecting and managing large-scale cloud-based data platforms, lakes, and analytics solutions.

• Collaborate with stakeholders, align data strategies with business goals, and continuously improve data processes and architectures in complex, high-impact projects.

Scouting for a skilled and dynamic Business Analyst:

Join the world’s first cross border consumer fintech neo-bank and play a pivotal role in bridging the gap between business needs and technology solutions. The ideal candidate should possess strong analytical skills and the ability to translate complex business requirements into actionable insights and deliverables.

Responsibilities:

• Stakeholder Collaboration: Understand business needs and craft data-driven solutions.
• Analysis & Insights: Leverage SQL and Python to query, manipulate and analyse data from various sources.
• Storytelling: Create compelling narratives using dashboards, and visualizations.
• Data Quality: Ensure data integrity through validation and quality checks.
• Scripting: Develop connections between analytics databases and third-party systems.

Education Qualification:

Bachelor’s degree with at least 5 years of experience in a Business Analyst, Data Analyst or similar role.

Technical Skills:

• Proficiency in SQL, Python for data extraction, transformation, and analysis.
• Advanced skills in MS Excel, including pivot tables and formulas.
• Data visualization tools such as Tableau, Power BI, Metabase or similar.
• Data modeling, Statistical analysis and database design.
• Prior experience in e-commerce, finance, or healthcare industries.

We are on the lookout for a Principal Data Architect to join the Data Platform team of one of India’s leading e-commerce retail chains. The ideal candidate should have a passion for designing large-scale, high-performance distributed systems and a drive to contribute to a team focused on democratizing data access and fostering data-driven innovation.

Key responsibilities

• Own & implement new solutions around the area of Data, AI & ML

• Lead  he new age data architecture solutions & big data implementation for the ecommerce business

Key Qualifications

• An ideal candidate would bring 12+ years of experience in highly scalable data systems with minimum 4 Years of experience in implementing data/bigdata architectures with high volume and throughput in retail or commerce environment

• Solid understanding of big data modelling patterns and anti-patterns; experience working closely with development teams to design & optimize database schema based on application access patterns.

• Accountable for implementing data policies, standards, and processes within their domain, conduct impact/root cause analysis for incoming data governance requests

• Proven expertise in managing both on-premises and multi cloud-based applications, ensuring seamless integration and optimal performance across diverse environments.

• Extensive experience with Apache Solr and a proven track record of building future-ready data platforms.

Interested candidates kindly write to me at preetha@rinalytics.com

We have embarked on a confidential search for a delivery leader in the data & analytics space with a global services and consulting organisation. The role focuses on driving growth, innovation, and delivery excellence across analytics portfolios.

Key Requirements:

1. Delivery Excellence: Ensure high-quality execution of data and analytics projects with strong governance frameworks.
2. P&L Optimisation: Manage portfolio profitability and drive strategic financial decisions.
3. Account Growth: Expand client relationships and identify new business opportunities.
4. Capability Development: Build and upskill teams to align with future business needs.
5. Partnership-led Delivery: Collaborate with technology and cloud partners for co-innovation and solution development.
6. Multi-Industry Expertise: Leverage 15+ years of experience across industries like retail, healthcare, BFSI, and manufacturing to deliver impactful solutions.

This role is ideal for a visionary leader passionate about transforming the data and analytics landscape.