generative ai lead

Tata 1mg

<div>
 
 
 Designation:
 
 Assistant Manager &ndash; Gen AI Solutions
 
 
 
 Department:
 
 Digital Transformation
 
 
 
 Location:
 
 Gurgaon
 
 
 
 
 
 
 About Tata 1mg
 
 
 
 Tata 1mg is a trusted health partner for end consumers and large institutions. Our mission is to make healthcare understandable, accessible, and affordable for all Indians. Over the past three years, we have built a healthcare platform that guides customers to the right and affordable care. Today, Tata 1mg is present in 1000+ cities &mdash; and we&rsquo;re just getting started. Leading the chart as one of the top consumer health platforms through ePharmacy, eDiagnostics, eConsult, and offline stores, Tata 1mg has delivered over 15M ePharmacy orders, 2M eDiagnostics orders, and engages 1M+ organic users daily.
 
 
 Our strongest asset is our 6400+ people who consistently enable us to deliver on our mission.
 
 
 Know more about us:
 
 https://www.1mg.com/aboutUs
 
 
 
 
 
 
 
 Brief about the Role
 
 
 
 We are seeking an experienced professional to lead and deliver cutting-edge
 
 Generative AI initiatives
 
 at Tata 1mg. This role involves managing both in-house AI solution development as well as vendor-driven AI implementations, while ensuring scalability, compliance, and measurable business impact. The role will also involve mentoring and guiding team members, fostering a culture of innovation, and driving collaboration across stakeholders.
 
 
 
 What will you do
 
 
 
 
 
 
 
 In-House Gen AI Development
 
 
 
 
 
 <ul>
 <li>
 Lead projects where problems are identified internally and solved using Gen AI models (e.g., OpenAI, Gemini, Claude).
 </li>
 <li>
 Define solution architecture, logic, and implementation strategy.
 </li>
 <li>
 Ensure scalability, accuracy, and performance of in-house Gen AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Vendor-Driven Solutions
 
 
 <ul>
 <li>
 Manage the full lifecycle of projects executed by vendors or subscription solutions.
 </li>
 <li>
 Draft clear project briefs (problem statement, success metrics, one-pagers).
 </li>
 <li>
 Review and challenge vendor solution architectures for alignment with Tata 1mg&rsquo;s standards.
 </li>
 <li>
 Track progress, validate accuracy, and establish governance frameworks.
 </li>
 <li>
 Ensure vendors deliver with efficiency, accountability, and transparency.
 </li>
 </ul>
 
 
 
 
 
 Team Leadership (10%)
 
 
 <ul>
 <li>
 Support team acquisition, engagement, and retention.
 </li>
 <li>
 Mentor and guide team members on Gen AI initiatives.
 </li>
 <li>
 Foster a collaborative, innovative, and outcome-driven culture.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to identify high-impact problems solvable through Gen AI.
 </li>
 <li>
 Translate business needs into scalable AI-driven solutions.
 </li>
 <li>
 Drive adoption of AI solutions across functions to ensure tangible value creation.
 </li>
 </ul>
 
 
 
 
 
 What we are looking for
 
 
 
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong understanding of Generative AI models, APIs, and solution architectures.
 </li>
 <li>
 Hands-on experience with model integration, prompt engineering, and scaling AI solutions.
 </li>
 <li>
 Ability to critically evaluate vendor solution architectures.
 </li>
 </ul>
 
 
 
 
 
 Program &amp; Vendor Management
 
 
 <ul>
 <li>
 Proven experience leading technology/vendor-driven projects.
 </li>
 <li>
 Skilled at defining success metrics, tracking execution, and ensuring vendor accountability.
 </li>
 <li>
 Strong governance and compliance orientation.
 </li>
 <li>
 Excellent communication skills to align with leadership and business stakeholders.
 </li>
 </ul>
 
 
</div>

Assistant Manager Artificial Intelligence

Accordion Partners

<div><div><div><div>LOCATION</div>
Hyderabad, India
</div><div><div>DEPARTMENT</div>
<div>Business Operations</div> 
</div></div>Company Overview

Accordion is a global private equity-focused financial consulting firm specializing in driving value creation through services rooted in Data &amp; Analytics and powered by technology.

Accordion works at the intersection of Private Equity sponsors and portfolio companies&rsquo; management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics. 
Accordion is headquartered in New York City with 10 offices worldwide. Join us and make your mark on our company. 


Data &amp; Analytics (Accordion | Data &amp; Analytics)

Accordion's Data &amp; Analytics (D&amp;A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media &amp; Entertainment, Technology, and Logistics.

D&amp;A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion&rsquo;s future&mdash;by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. 
Join us and experience a better way to work! 
Location: Hyderabad, Telangana

Role Overview: 
 
Accordion is looking for an experienced Senior Director to lead the Generative AI initiatives, drive the strategy, design, and implementation of cutting-edge architectures. (S)he would be collaborating with clients and internal teams to design and recommend scalable and resilient Gen AI architectures, and work with engineering teams to ensure seamless integration and deployment in cloud-based environments. The Senior Director will be a Gen AI evangelist, driving research and development efforts to enhance the team&rsquo;s expertise in Generative AI and lead knowledge dissemination activities across the organization, serving as an advocate for best practices in AI architecture and development. This role spans Data Science, Generative AI, and Application Development, integrating these disciplines to foster innovation and technological advancement.

What You will do:
<ul>
<li>Architect scalable and efficient Gen AI solutions that can handle large volumes of data, adapt to changing business requirements, and ensure systems are flexible, robust, and future proof.</li>
<li>Lead the end-to-end implementation of Gen AI applications, overseeing the entire development process from concept to deployment, ensuring alignment with business goals and timely delivery.</li>
<li>Develop prototypes and proof of concepts (PoCs) to validate Gen AI solutions, iterating on models to gather feedback and refine the solution before full-scale implementation.</li>
<li>Ensure seamless integration of Gen AI models with existing enterprise systems and data sources, working closely with technical teams to facilitate efficient data flow and compatibility with enterprise applications.</li>
<li>Collaborate with cross-functional teams, including data scientists, DevOps, and business stakeholders, to align Gen AI development with strategic goals and address both technical and business challenges effectively.</li>
<li>Provide technical oversight throughout the project lifecycle, ensuring high performance, reliability, and successful delivery through proactive monitoring and troubleshooting.</li>
<li>Establish best practices for application development that focus on maintainability, scalability, and security, ensuring that Gen AI solutions are secure, easy to maintain, and capable of growing with business demands.</li>
<li>Research and track the latest developments in the field to maintain expertise about the latest best practices and techniques within the industry.</li>
<li> Develop accelerators and best practices across various technology stacks to drive efficiency and consistency in project delivery.</li>
<li>Ensure excellence in delivery across projects, maintaining high standards and meeting client expectations.</li>
<li>Lead knowledge management initiatives by developing and maintaining a repository of best practices, case studies, and learning materials.</li>
<li>Conduct webinars, talk shows, and training sessions to share knowledge and expertise, fostering a culture of continuous learning and improvement within the organization.</li>
</ul>
Ideally, you have:
<ul>
<li>Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.</li>
<li>12+ years of experience in related field.</li>
<li>Strong experience in developing and implementing Gen AI based applications, demonstrating expertise in addressing real-world business use cases.</li>
<li>Hands-on experience with state-of-the-art LLMs such as OpenAI, Anthropic Claude, Google PaLM 2, and Meta LLaMA2, applying these models to build advanced Gen AI solutions across various domains.</li>
<li>Proficient in software architecture principles, including microservices, API management, and data integration, with experience designing microservices-based systems and integrating Gen AI models into enterprise applications.</li>
<li>Strong knowledge of CI/CD pipelines and experience in automating testing, building, and deployment processes to optimize development workflows for Gen AI applications.</li>
<li>Familiarity with caching strategies, containerized environments, and orchestration tools, applying these techniques to improve Gen AI system performance and reduce latency.</li>
<li> Proficiency in AI/ML frameworks and tools such as LangChain and Llama Index, enabling efficient development, indexing, retrieval, and chaining of models in Gen AI applications.</li>
<li>Experience with ML Ops and LLM Ops best practices, ensuring smooth deployment, monitoring, and maintenance of large language models in production environments.</li>
<li>Familiarity with hyperscale cloud platforms and their AI/ML offerings, leveraging these services to build scalable, high-performance Gen AI solutions.</li></ul> 


Why Explore a Career at Accordion:
<ul>
<li>Collaborate with Prominent Private Equity Firms: Develop deep understanding of the intricacies of the Private Equity landscape, setting you on a path to excel in the dynamic world of finance and analytics</li>
<li>High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility</li>
<li>Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes</li>
<li>Entrepreneurial Environment: Intellectual freedom to make decisions and own We expect you to spread your wings and assume larger responsibilities.</li>
<li>Fun culture and peer group: Non-bureaucratic and fun working environment; intellectual environment that will challenge you and accelerate your learning curve</li>
<li>Other benefits to full time employees</li>
<ul><li>Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor&rsquo;s consultations, counsellors, etc.</li>
<li>Corporate Meal card options for ease of use and tax benefits</li>
<li>Team lunches, company sponsored team outings and celebrations</li>
<li>Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests</li>
<li>Reward and recognition platform to celebrate professional and personal milestones</li>
<li>A positive &amp; transparent work environment which includes various employee engagement and employee benefit initiatives to support personal and professional learning and development</li></ul></ul></div>

Senior Technical Director, Application Architect (GenAI & Product)

Huntsmen and Barons

Strong Python Programmer+ Machine Learning Lead+Agentic AI Framework (Certification or project exposure)BAND: C1Experience: 10+ YearsJob Title: Sr AIML/GenAI Lead/ArchitectLocation: Wipro Kodathi, Bangalore (5 Days work from office)NO WFH AllowedJob Summary: We are seeking a highly skilled and versatile Senior AIML/GenAI Lead who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. Experience in Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB.This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems.You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement. If you thrive on taking ML models from concept to customer impact and possess exceptional software design skills, we encourage you to apply.Key Responsibilities:<ul><li>ML Model Development &amp; Optimization: Experience in developing and implementing generative AI models and algorithms. Collaborate with Data Scientists to understand business problems, explore data, develop, train, and evaluate machine learning models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Optimize models for performance, efficiency, and interpretability.</li><li>End-to-End ML Application Development: Lead the design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.</li><li>Software Design &amp; Architecture: Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.</li><li>Data Engineering for ML: Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.</li><li>Performance &amp; Scalability: Identify and resolve performance bottlenecks in ML systems. Ensure the scalability and reliability of deployed models under varying load conditions.</li><li>Collaboration &amp; Mentorship: Work closely with cross-functional teams including Data Scientists, Software Engineers, Product Managers, and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.</li><li>Research &amp; Innovation: Stay abreast of the latest advancements in machine learning, MLOps, and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.</li><li>Documentation: Create clear and comprehensive documentation for ML models, pipelines, and services.</li></ul>Required Qualifications:<ul><li>Education: Master&rsquo;s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.</li><li>Experience: 10+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role.</li><li>Good to have Programming Skills: Proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code. Experience with other languages (e.g., Java, Go, C++) is a plus.</li><li>Strong Software Engineering Fundamentals: Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.</li><li>Must have Machine Learning Expertise:</li><li>Solid theoretical and practical understanding of various machine learning algorithms</li><li>Proficiency with ML frameworks such as PyTorch, Scikit-learn.</li><li>Experience with feature engineering, model evaluation metrics, and hyperparameter tuning.</li><li>Data Handling: Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.</li><li>Problem-Solving: Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.</li><li>Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.</li></ul>Preferred Qualifications:<ul><li>Master's or Ph.D. in a relevant field.</li><li>Contributions to open-source projects or a strong portfolio of personal projects.</li><li>Experience with A/B testing and experimental design for ML models.</li><li>Knowledge of data governance, privacy, and security best practices in ML.</li></ul>Interested candidates can share their CV on neha.pawar@huntsmenbarons.com or WhatsApp on 9109961225.Job Type: Full-timePay: &#8377;3,500,000.00 - &#8377;3,900,000.00 per yearWork Location: In person

Sr AIML/GenAI Lead/Architect

Codvo.ai

<div><div><div><div><div>Job Description: Senior AI Engineer</div><div>
Company Overview:</div><div>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div>
About the Role:</div><div>
We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.</div><div>
Responsibilities:</div><ul><li>
Generative AI Pipeline Development:</li><li>
Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads.</li><li>
Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context.</li><li>
Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines.</li><li>
Data and Document Ingestion:</li><li>
Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications.</li><li>
Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines.</li><li>
Ensure data quality, consistency, and security throughout the ingestion process.</li><li>
AI Service Integration:</li><li>
Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications.</li><li>
Develop and maintain APIs for seamless communication between AI services and backend systems.</li><li>
Monitor and optimize the performance of integrated AI services within the Generative AI pipeline.</li><li>
Retrieval Augmented Generation (RAG) Pipelines:</li><li>
Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources.</li><li>
Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI.</li><li>
Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications.</li><li>
Large Language Model (LLM) Integration:</li><li>
Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines.</li><li>
Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks.</li><li>
Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications.</li><li>
Backend Services Ownership:</li><li>
Design, develop, and maintain backend services that support Generative AI applications.</li><li>
Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads.</li><li>
Implement monitoring and logging systems for backend services and pipelines supporting Generative AI.</li><li>
Troubleshoot and resolve backend-related issues impacting Generative AI applications.</li></ul><div>
Required Skills and Qualifications:</div><ul><li>
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
Experience:</li><li>
5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems.</li><li>
Proven experience in designing and implementing data ingestion and processing pipelines.</li><li>
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.</li><li>
Technical Skills:</li><li>
Expertise in Python and relevant AI/ML libraries.</li><li>
Strong understanding of AI infrastructure and deployment strategies.</li><li>
Experience with data engineering and data processing techniques.</li><li>
Proficiency in software development principles and best practices.</li><li>
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li><li>
Experience with version control (Git).</li><li>
Experience with RESTful APIs and API development.</li><li>
Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval.</li><li>
Generative AI Specific Skills:</li><li>
Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs).</li><li>
Experience with integrating and managing Generative AI services.</li><li>
Understanding of RAG pipelines and their application in Generative AI.</li><li>
Experience with prompt engineering for LLMs in Generative AI contexts.</li><li>
Soft Skills:</li><li>
Strong problem-solving and analytical skills.</li><li>
Excellent communication and collaboration skills.</li><li>
Ability to work in a fast-paced environment.</li></ul><div>
Preferred Qualifications:</div><ul><li>
Experience with OCR and document processing technologies.</li><li>
Experience with MLOps practices for Generative AI.</li><li>
Contributions to open-source AI projects.</li><li>
Strong experience with vector databases and their optimization for Generative AI applications.</li></ul><div>
Experience - 5+ years</div><div>
Shift Time - 2:30PM to 11:30PM</div></div></div></div></div>

Senior AI Engineer

Xometry

<div><div>Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.</div>
Xometry is seeking a Principal Data &amp; ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities:
<ul>
<li>Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.</li>
<li>Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.</li>
<li>Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.</li>
<li>Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.</li>
<li>Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.</li>
<li>Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.</li>
<li>Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.</li>
<li>Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.</li>
<li>Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.</li>
<li>Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.</li>
</ul>
Qualifications:
<ul>
<li>A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.</li>
<li>7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.</li>
<li>Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).</li>
<li>Experience with multimodal data processing (e.g., combining text, image, and 3D data).</li>
<li>Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.</li>
<li>Strong background in probability, statistics, and optimization techniques relevant to generative modeling.</li>
<li>Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).</li>
<li>Familiar with software engineering principles, including version control, reproducibility, and continuous integration.</li>
<li>Experience in the manufacturing, supply chain, or similar industries is a plus.</li>
</ul>
#LI-Hybrid<div>
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.</div></div>

Principal Machine Learning Data Scientist, Gen AI

Cognizant Technology Solutions

<div>Job description: Director of Data Analytics, Generative AI, and Research (20+ years of experience)
Level: Director
Location: Hyderabad
Summary
We are seeking a highly seasoned and visionary Director of Data Analytics with over 20 years of experience to lead our analytics, research, and Generative AI initiatives. The ideal candidate is an established leader with a deep foundation in statistics and quantitative research, and a proven track record of implementing large-scale, enterprise-level data strategies. You will be responsible for defining the future of our data ecosystem, integrating advanced Generative AI and Large Language Models (LLMs) into our core business functions, and driving a culture of data-driven innovation.
Key responsibilities<ul><li>
Strategic leadership and vision: Set the long-term strategic direction for all data analytics, research, and Generative AI efforts, aligning them with overall business objectives and digital transformation goals.</li><li>
Generative AI and LLM implementation: Lead the evaluation, integration, and deployment of Generative AI and Large Language Models to create new business value, enhance decision-making, and automate complex processes.</li><li>
Advanced statistical research: Oversee a team of quantitative researchers and statisticians to conduct deep-level research, leveraging a strong background in statistical modeling, experimental design, and predictive analytics.</li><li>
Team building and mentorship: Recruit, lead, and mentor a high-performing team of data scientists, data engineers, and analysts, fostering a collaborative and growth-oriented environment.</li><li>
Executive communication: Act as a key advisor to C-level leadership and the board, translating complex analytical findings and AI capabilities into clear, actionable business strategies and compelling data stories.</li><li>
Data governance and ethics: Establish and enforce robust data governance policies, ensuring the ethical and responsible use of AI, data privacy compliance (e.g., GDPR, CCPA), and data integrity across the organization.</li><li>
Cross-functional collaboration: Partner with departments such as marketing, product, and engineering to embed a data-first mentality and drive the adoption of analytics and AI tools across the enterprise.</li><li>
Technology oversight: Guide the architectural design and management of the data infrastructure, including data warehouses, data lakes, and modern cloud-based platforms, to support scalable AI and analytics operations.</li><li>
Innovation and staying current: Monitor industry trends and emerging technologies in Generative AI, machine learning, and advanced analytics to ensure the company remains at the forefront of data-driven innovation.
</li></ul>Qualifications<ul><li>
A Master's degree or Ph.D. in Statistics, Mathematics, Operations Research, Computer Science, or a related quantitative field.</li><li>
20+ years of progressive experience in data analytics, data science, and quantitative research, with a minimum of 10 years in a senior leadership or director-level role.</li><li>
Extensive, hands-on experience with Generative AI and Large Language Models, including practical applications and strategic implementation.</li><li>
Deep expertise in statistical analysis, machine learning algorithms, and research methodologies.</li><li>
Proven success in building, leading, and mentoring large data and analytics teams.</li><li>
Comprehensive knowledge of data governance, data privacy, and AI ethics frameworks.</li><li>
Exceptional communication and presentation skills, with the ability to influence senior executives and engage technical and non-technical audiences.</li></ul>
Proficiency in modern data analytics tools and programming languages such as Python, SQL, and experience with cloud platforms (e.g., AWS, Azure, GCP).</div>

AIA - Data Analytics - Director

CloudAngles

<div><h2 class="jobSectionHeader">Job Overview</h2><div>
We are seeking a highly experienced Lead AI Developer with extensive expertise in the latest Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments.</div><div>
This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology.</div><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Advanced AI Development:</li><li>
Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications.</li><li>
Research &amp; Innovation:</li><li>
Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and Agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities.</li><li>
Collaboration &amp; Integration:</li><li>
Work closely with cross-functional teams&mdash;including data scientists, software engineers, and product managers&mdash;to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms.</li><li>
Code Quality &amp; Mentorship:</li><li>
Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence.</li><li>
Performance Optimization &amp; Scalability:</li><li>
Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy.</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
Experience:</li><li>
Extensive industry experience in AI development, with a strong portfolio demonstrating proficiency in Generative AI and Agentic AI applications.</li><li>
Technical Skills:</li><li>
AI Frameworks &amp; Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging Generative AI platforms.</li><li>
Programming Languages: Proficiency in Python; exposure to Rust or C++ is a plus.</li><li>
Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines.</li><li>
Full Stack Development: Strong experience in frontend and backend development.</li><li>
API Development: Proven experience in developing REST APIs for scalable applications.</li><li>
AI Agent Development: Practical experience with LangChain, LangFlow, and similar frameworks.</li><li>
Model Training &amp; Finetuning: Hands-on experience in training, fine-tuning, and deploying AI/ML models.</li><li>
Cloud Expertise: Familiarity with AWS or GCP cloud environments for deploying AI workloads.</li><li>
Protocols: Worked with advanced protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.</li><li>
Core Competencies:</li><li>
Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.</li><li>
Excellent communication skills for effective collaboration across diverse teams.</li><li>
Familiarity with Agile methodologies and best practices in software development.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Advanced degrees (Master&rsquo;s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud).</li><li>
Proven track record of contributing to AI research publications or patents in Generative AI or Agentic AI.</li><li>
Knowledge of ethical AI practices, ensuring model fairness, transparency, and accountability.</li></ul></div><div></div>

CA0226 - Lead AI Developer

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