49 Ai Algorithms Jobs

Aziro is hiring AI Engineers to join immediately. Exp - 6+ yrs Location - Chennai, Pune, Noida, Bangalore One level will be FTF interview (either L1 or L2) Should have hand- on experience in AI esp. with Gen AI Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile 6-11 years of experience in developing AI applications using various tools such as AIML, AI Solutions, etc. . Strong understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java; knowledge of SQL is an added advantage.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

Responsibilities: * Design, develop, and deploy AI/ML solutions using cutting-edge algorithms on our platform. * Collaborate with cross-functional teams to integrate AI into existing systems. Provident fund Health insurance Annual bonus

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

As an AI Automation Intern , you will support the implementation and optimization of AI-powered workflows and automations across departments including lead generation, client onboarding, talent sourcing, and learning platforms. This is a hands-on role perfect for those excited about using automation to solve real business problems. Key Responsibilities : Automation Strategy & Implementation Assist in designing and implementing workflow automations using tools like Zapier, Make (Integromat), n8n, ChatGPT APIs, and Notion AI Automate repetitive tasks across BD, Recruitment, Academy, CXO onboarding, and Marketplace workflows Support WhatsApp + Email funnel integrations using tools like WATI, Twilio, or WhatsApp Cloud API Platform & Data Integrations Help connect front-end forms (Typeform, Zoho, etc.) to CRM systems (HubSpot, Zoho CRM) Set up Airtable/Google Sheets workflows for lead capture, resume sorting, and academy applications Assist in syncing data between Teachable/Graphy, Notion, and candidate dashboards AI Enablement Tasks Create and refine ChatGPT prompts for use in: Email outreach Social media scripting Resume screening Client onboarding flows Support in developing prompt banks and automation libraries Testing & Documentation Build internal documentation for each automation created Regularly test and troubleshoot automation failures Create walkthroughs for non-tech teams to manage automations post-deployment . Who Can Apply Final year students, fresh graduates, or women returning to work with tech interest Prior experience in any automation tool is a plus (even self-taught) Comfortable using Notion, Google Suite, Zapier, and basic APIs Willing to learn new tools quickly and take ownership of mini-projects Skills Youll Learn Real-world automation and process optimization across business verticals Use of AI tools like ChatGPT, Midjourney, Claude, etc. in business settings CRM workflows, API testing, and AI prompt engineering Building job-automation libraries for B2B and B2C systems Growth Path High-performing interns may transition into: AI Workflow Specialist (Remote Ops) Automation Manager – Academy & Marketplace Product Operations Associate

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

This role requires deep technical knowledge of Lucidworks Fusion (including Solr, Spark, and AI/ML integration), along with strong hands-on skills in data ingestion, pipeline development, query tuning, and relevance engineering. Key Responsibilities: Design & Development : Build end-to-end intelligent search solutions using Lucidworks Fusion. Develop custom ingestion pipelines, index configurations, query pipelines, and business rules. Create meaningful user experiences through relevance tuning, signals-based learning, and ML integration. Data Engineering : Configure connectors to ingest structured and unstructured data from multiple sources (SQL, NoSQL, REST APIs, etc.). Transform and enrich data during ingestion using Fusions Index Pipelines and JavaScript/Python scripting. Relevance Engineering : Apply signal-based personalization techniques and AI models to enhance relevance. Optimize ranking models using Fusion’s Smart Answers, Predictive Merchandiser, or Learning to Rank (LTR). System Integration & Deployment : Integrate Fusion with enterprise applications, microservices, and analytics platforms. Manage Fusion environments, handle deployments, and monitor system performance. Collaboration : Work closely with product managers, UX designers, and data scientists to meet business goals. Participate in Agile ceremonies, provide estimates, and maintain technical documentation. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of hands-on experience with Lucidworks Fusion , Apache Solr , or similar enterprise search platforms. Strong expertise in search relevancy tuning , query pipeline development , and signals-based search . Proficiency in Java , JavaScript , Python , or Scala . Experience with data pipeline tools , ETL , and RESTful API integration . Solid understanding of Solr schema design , faceting , filtering , and query optimization . Familiarity with containerization tools (Docker, Kubernetes) and CI/CD pipelines . Excellent problem-solving and communication skills. Preferred Qualifications: Experience with Lucidworks Smart Answers , App Studio , AI-powered search use cases , or predictive merchandising . Familiarity with Apache Spark , Kafka , or cloud platforms like AWS, GCP, or Azure. Understanding of machine learning models and their integration into search platforms. Exposure to headless CMS , e-commerce search , or knowledge management systems .

Dear Candidate, We are seeking an AI Software Developer to design and implement intelligent applications using machine learning, deep learning, and natural language processing. Key Responsibilities: Build, train, and deploy AI/ML models for real-world applications. Collaborate with data scientists to convert models into production-ready APIs. Optimize models for performance, scalability, and latency. Integrate AI capabilities into enterprise systems or consumer products. Monitor model performance and update based on new data. Required Skills & Qualifications: Proficiency in Python and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AI/ML deployment (e.g., Docker, FastAPI, AWS SageMaker). Knowledge of computer vision, NLP, or recommendation systems. Familiarity with MLOps practices and version control for models. Strong problem-solving and data structure knowledge. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

Role & responsibilities Build and maintain automated workflows using no-code tools like n8n Work with APIs and webhooks to integrate various systems and tools Collaborate with the team to iterate on workflow designs based on feedback and evolving needs Troubleshoot and optimize existing automation pipelines Document processes and contribute to internal knowledge sharing Preferred candidate profile Comfortable working with no-code platforms , especially n8n Basic understanding of APIs, webhooks, and integration logic Strong problem-solving mindset and attention to detail Eagerness to learn quickly and iterate based on feedback Ability to work independently and manage tasks responsibly

Dear Candidate, We are actively hiring for GEN AI position open for PAN India location. Role Summary We are seeking a seasoned Generative AI Technology Architect to lead the design and implementation of enterprise grade Gen AI solutions This role demands deep technical expertise in AIML a strong architectural mindset and the ability to translate business needs into scalable secure and responsible AI systems You will serve as a thought leader mentor and strategic advisor across AI initiatives Key Responsibilities Architect end-to-end Gen AI solutions including LLM based applications RAG pipelines and multimodal systems Define and enforce architectural standards design patterns and best practices for Gen AI systems Lead the evaluation and selection of Gen AI platforms frameworks and infrastructure eg vector DBs orchestration layers model hubs Collaborate with data scientists MLOps engineers and business stakeholders to align AI capabilities with enterprise goals Drive PoCs and pilots to validate Gen AI use cases and scale successful patterns into production Ensure compliance with data privacy security and responsible AI principles Contribute to internal knowledge assets such as reference architectures whitepapers and reusable components Required Skills Proven experience in designing and deploying AIML systems at scale including Gen AI applications Deep understanding of LLMs prompt engineering finetuning and RAG workflows Proficiency in Python and frameworks like PyTorch TensorFlow Hugging Face LangChain or LlamaIndex Strong grasp of cloudnative architectures AWS Azure GCP and containerization Docker Kubernetes Experience with MLOps tools MLflow SageMaker Vertex AI etc and CICD for AI pipelines Familiarity with vector databases eg FAISS Pinecone Weaviate and embedding strategies Should have understanding of LLM models like Vision MultiModal etc Strong Experience in Python programming and related frameworks eg Django Flask Extensive experience in building scalable and robust applications using Python Handson Experience to all SDLC Phases Knowledge of cloud platforms eg AWS Azure GCP and their AIML services Experience with database systems eg SQL NoSQL and data modeling Strong problem-solving and analytical skills with the ability to translate business requirements into technical solutions Excellent leadership and team management skills with the ability to motivate and develop a high performing team Strong communication and collaboration skills with the ability to work effectively in cross functional teams Self-motivated and proactive with a passion for learning and staying up to date with emerging technologies and industry trends Preferred Qualifications Bachelors or Masters in Computer Science AI or related field Experience integrating Gen AI into enterprise platforms eg ERP CRM HRMS Exposure to multimodal AI text image audio and agentbased architectures Strong communication and stakeholder management skills Contributions to opensource AI projects or published research If interested, kindly share your resume with below details to Richa.Rane@alphacom.in Full Name: Pan Card No: DOB: Total Experience: Relevant Experience: Current/Last Company: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location: Reason for job change: Share your passport size photo: Thanks & Regards, Richa Rane Talent Acquisition Richa.Rane@alphacom.in

Role & responsibilities - Integrate Claude/OpenAI APIs for natural language interfaces - Build intelligent conversation management systems - Develop AI-powered business process automation - Create predictive analytics and business insights - Optimize AI model performance and accuracy - Research and implement new AI capabilities Must-Have Skills: - 2-4 years Python development with ML focus - Experience with OpenAI/Claude APIs or similar LLMs - Understanding of NLP concepts and techniques - Experience with ML libraries (scikit-learn, pandas) - Prompt engineering and conversation design - Basic understanding of business processes Nice-to-Have: - Experience with vector databases - LangChain or similar framework experience - Previous AI product development - Understanding of ERP systems Preferred candidate profile - Work on cutting-edge AI applications - Direct impact on product innovation - Learning opportunities in latest AI tech - Conference and training budget

Role & responsibilities - Lead development of AI-powered ERP features on Frappe framework - Integrate Claude/OpenAI APIs for natural language interfaces - Build and customize ERPNext modules for specific business needs - Develop automated workflows and intelligent business processes - Handle complete technical architecture and deployment - Create technical documentation and best practices Preferred candidate profile - 5+ years Python development (Django/Flask preferred) - 2+ years JavaScript (React/Vue.js, Node.js) - 1-2 years Frappe/ERPNext experience (or strong willingness to learn) - Experience with REST APIs and third-party integrations - Basic understanding of AI/ML concepts and API integration - MySQL/PostgreSQL and Redis experience - AWS/GCP deployment experience preferred

As a Creative Content Specialist you'll be responsible for - AI-Driven Content Creation. Trend Analysis. Creative Direction Collaboration & Communication Knowledge of AI tools like Midnourney, Dall-E, Kling ai etc to create designs/videos Work from home Job/soft skill training

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-3-9YRS In Gen AI AWS PKG Upto-25LPA Loc- Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-4-12YRS In Gen AI AWS PKG Upto-25LPA Loc-Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist – AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Role & responsibilities : Primary Responsibilities IT Support (Core Focus): Provide onsite technical support for up to 150 employees, ensuring high availability of hardware, software, and network systems. Diagnose and resolve issues related to network connectivity , laptops, desktops , and thin clients . Assist in the setup, maintenance, and troubleshooting of laser printers and other office hardware. Support day-to-day IT operations, including Windows 10/11 , Office 365 , and Office applications . Collaborate with a globally distributed IT team to maintain standards, documentation, and support protocols. Utilize IT management tools such as Autotask , Datto RMM , and Microsoft Azure (preferred). Assist in onboarding/offboarding processes, including provisioning and account setup. Secondary Responsibilities AI Software Engineering (Support & Development): Support the AI engineering team by contributing to model deployment , data processing scripts , and basic infrastructure automation . Assist in the integration and maintenance of AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Participate in monitoring and logging of AI applications and provide IT-level support to ensure smooth performance. Collaborate with developers and data scientists to understand system dependencies and infrastructure needs for AI/ML workloads. Help build and maintain internal tools or dashboards to support AI model lifecycle management. Preferred candidate profile: 6+ years of experience in an IT support or system administration role. Proficiency in diagnosing and resolving desktop hardware, printer, and network issues. Hands-on experience with Windows 10/11 , Office 365 , and end-user computing environments. Ability to work independently while coordinating with international IT and engineering teams. Familiarity with scripting languages (Python preferred) and basic knowledge of software development life cycles. Preferred Qualifications: Exposure to AI/ML frameworks and interest in expanding skills in AI engineering. Experience with Azure , Autotask , and Datto RMM . Knowledge of cloud infrastructure and containerization tools is a plus. Experience with IT automation or DevOps tools.

Experience-7 year Experienced on at least on 1 AI project from requirements definition to deployment maintenance in production Deployed end-to-end ML pipeline Used PyTorch,Tensorflow to build,deploy models Proven GenAI experience

Job Summary: We are seeking a highly skilled and experienced AI/ML Consultant to join our team and support the development and deployment of advanced machine learning and artificial intelligence solutions. The ideal candidate will possess deep technical expertise, strong business acumen, and the ability to bridge the gap between complex algorithms and real-world business applications. Key Responsibilities: Collaborate with clients and internal stakeholders to identify opportunities for AI/ML applications. Design, develop, and deploy machine learning models and AI algorithms tailored to specific business problems. Evaluate model performance and implement improvements for scalability, accuracy, and efficiency. Advise clients on AI/ML strategies, tools, and frameworks suitable for their environment. Lead workshops, presentations, and training sessions for clients and internal teams. Translate complex technical solutions into clear business value propositions. Stay updated with the latest AI/ML trends, tools, and research to continuously improve offerings. Requirements: Proven experience in developing and deploying machine learning models. Proficiency in Python (preferred), R, or other programming languages used in data science. Strong understanding of frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker). Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Professional Skills: Strong problem-solving skills with a consultative approach. Excellent communication and presentation skills, especially with non-technical stakeholders. Ability to manage multiple projects and deliver high-quality results under tight deadlines. Prior experience in a consulting or client-facing role is highly preferred. Preferred Qualifications: Experience in specific AI/ML domains such as NLP, Computer Vision, Time Series Forecasting, or Reinforcement Learning. Industry experience in sectors such as finance, healthcare, retail, manufacturing, or logistics. Knowledge of data governance, security, and compliance standards.

Job Title: Senior Architect AI Platform & Engineering Location: Bangalore Mode: Work from Office Job Summary: We are seeking an experienced Senior Architect AI Platform & Engineering to lead the architectural design and technical strategy of our AI-driven platform. The ideal candidate will have a deep understanding of AI/ML frameworks, AI model deployment, cloud platforms, distributed computing, and solution architecture. This role demands a strong background in solution architecture and hands-on expertise in AI/ML technologies, ensuring the scalability, security, and efficiency of our AI products and platform. Key Responsibilities: 1. AI Platform and Product Architecture: • Define and design the end-to-end architecture of an AI-driven platform, ensuring scalability, reliability, and security. • • • • Architect and design AI/ML pipelines, inference engines, and model serving infrastructure. Develop microservices-based architecture to support AI workloads and data-driven applications. Ensure seamless integration of AI models into the platform and applications. Define and implement MLOps best practices to streamline AI/ML lifecycle management. 2. AI/ML Frameworks & Model Deployment: • Work with TensorFlow, PyTorch, Hugging Face, ONNX, and other AI frameworks to optimize model training and deployment. • • • Architect model-serving solutions using KServe, TensorFlow Serving or equivalent. Optimize AI model performance for low-latency, high-throughput inference. Implement AI governance and compliance frameworks for responsible AI practices. 3. Cloud & Infrastructure: • • • • Design AI platform solutions for AWS, OCI, GCP, and hybrid/multi-cloud environments. Leverage Kubernetes, Docker, and serverless computing to manage AI workloads efficiently. Implement data lake, feature store, and real-time analytics architectures. Design and optimize GPU/TPU-based infrastructure for AI workloads. 4. Solution Architecture & Engineering Leadership: • • Provide technical leadership in designing AI solutions, working closely with product managers, data scientists, and engineering teams. Collaborate with product management, data scientists, and engineering teams to align AI architecture with business objectives. • • • • Develop high-level and detailed solution architecture for AI-driven applications and platforms. Lead proof-of-concepts (PoCs) and pilot projects to validate AI-driven solutions. Provide technical mentorship and guidance to engineering teams. Conduct architectural reviews and ensure adherence to best practices and industry standards. 5. AI Security & Compliance: • • • Design AI architectures with a strong focus on data security, privacy, and compliance (GDPR, HIPAA, SOC2 etc.). Implement secure model training, explainability (XAI), and adversarial attack mitigation techniques. Ensure secure API integrations for AI models and services. Required Qualifications & Skills: Key Technical Skills: • • • • • • • AI/ML Architecture: Proven expertise in designing scalable AI/ML architectures, including deep learning, reinforcement learning, NLP, and computer vision. Cloud & Infrastructure: Hands-on experience with cloud-native architectures on AWS, Google Cloud, and Azure. Containerization & Orchestration: Proficiency in Docker, Kubernetes, and container orchestration for scalable AI/ML deployments. Data Engineering & MLOps: Strong understanding of data pipelines, big data management (Kafka, Spark, Hadoop), and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Microservices & APIs: Skilled in designing high-performance, scalable, and maintainable microservices architectures. Security & Compliance: In-depth knowledge of AI security best practices, model governance, encryption, and access control in cloud and on-prem environments. DevOps & CI/CD: Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated AI/ML deployment workflows. • • LLMs & Generative AI: Exposure to Large Language Models (LLMs) and Generative AI applications. Enterprise AI & Product Management: Experience in developing and managing AI-driven enterprise solutions and AI product lifecycle management. Experience & Qualifications: • • • • • • • Experience: Minimum 7 years of experience in software engineering, AI/ML architecture, and platform engineering, with at least 5 years in as an architect. Educational Qualification: Masters degree in Computer Science, Engineering, AI, or a related technical field. Architecture & Design: Proven experience in designing and architecting scalable, distributed, and secure platforms for AI/ML applications at scale. AI/ML Expertise: Strong background in developing and deploying machine learning models in production, and experience with AI frameworks such as TensorFlow, PyTorch, and Keras. Cloud Expertise: Hands-on experience with cloud-native architecture, containerization, and serverless computing in cloud environments. Leadership: Proven experience in leading technical teams, mentoring engineers, and driving architectural decisions across large-scale projects. Certifications in cloud platforms (AWS, Azure, GCP) or AI-related technologies. Soft Skills & Leadership: • • Strong problem-solving and analytical skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. • • Experience leading and mentoring engineering teams. Ability to collaborate with cross-functional teams, including product, engineering, and data science teams. • Strong documentation and presentation skills. Why Join Us? • • • • Work on cutting-edge AI/ML technologies in a fast-paced and innovative environment. Collaborate with industry experts, data scientists, and AI researchers. Competitive compensation and career growth opportunities. A culture of continuous learning, innovation, and excellence. If you are passionate about AI and want to drive the next-generation AI platforms, we would love to hear from you!

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.