4345 Artificial Intelligence Jobs - Page 48

Professor / Associate Professor Computer Science & Engineering at Rama University, Kanpur : Job Title : Associate Professor / Professor Department : Computer Science & Engineering Location : Rama University, Kanpur, Uttar Pradesh Reporting To : Head of Department / Dean, Faculty of Engineering & Technology Employment Type : Full-Time Position Summary : Rama University is seeking highly motivated and academically strong candidates for the position of Associate Professor / Professor in the Department of Computer Science & Engineering. The incumbent will be responsible for teaching, research, curriculum development, academic administration, and mentoring students while promoting a culture of innovation and excellence. Key Responsibilities : Teaching & Academic Responsibilities : Deliver undergraduate and postgraduate courses in Computer Science & Engineering. Develop and update curriculum as per industry trends and AICTE/UGC norms. Guide B.Tech, M.Tech, and Ph.D. students in academic and research projects. Conduct interactive lectures, labs, and tutorials using modern teaching tools. Research & Publications : Conduct original research in core and emerging areas such as AI, ML, Data Science, Cybersecurity, IoT, Blockchain, etc. Publish papers in reputed peer-reviewed journals and present at national/international conferences. Apply for research grants from government and industry funding agencies. Administration & Departmental Activities : Participate in departmental and university-level administrative activities. Mentor junior faculty members and students. Organize FDPs, seminars, conferences, and workshops. Collaborate with industry for academic-industry partnerships, internships, and placements. Qualification & Experience : For Associate Professor : Ph.D. in Computer Science / Computer Engineering or a closely related field. Minimum 8 years of teaching/research/industry experience, of which at least 3 years should be at the level of Assistant Professor or equivalent. At least 10 publications in Scopus/Web of Science indexed journals. For Professor : Ph.D. in Computer Science / Computer Engineering or a related field. Minimum 10 years of teaching/research experience, with at least 4 years as Associate Professor. Proven record of guiding doctoral candidates, published books/book chapters, and funded research projects. Preferred Skills & Expertise : Strong academic foundation and communication skills. Hands-on experience with programming languages (C/C++, Python, Java, etc.) and tools. Exposure to outcome-based education (OBE) and NAAC/NBA accreditation processes. Leadership qualities with ability to drive academic excellence and innovation.

Bachelors in computer science, Information Systems, or a related field Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Experience in designing OLAP and OLTP systems for efficient data analysis and processing. Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos). A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Experience in data privacy and tokenization tools like Immuta, Privacera, Privitar OpenText and Protegrity. Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP) with Deep technical knowledge in one. Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations. Proficient in Data modelling (Star Schema (de-normalized data model), Transactional Model (Normalized data model) using tools like Erwin. Experience with ETL/ETL architecture and integration (Matillion, AWS GLUE, Google PLEX, Azure Data Factory etc) Deep understanding of data architectures that utilize Data Fabric, Data Mesh, and Data Products implementation. Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies. Strong SQL and database skills working with large structured and unstructured data. Experienced in Implementation of data virtualization, and semantic model driven architecture. System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Familiarity with AI/MLOps concepts and Generative AI technology.

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus Hands-on experience in data handling using SQL and advanced analytics tools such as Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems Excellent presentation and communication skills Responsibilities: Participate in client workshops to identify high impact problems that could be solved through AI / ML based solutions Translate business problems (sometimes ambiguous) into clear analytic problem statements. Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science & Engineering. Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities. Measure and articulate how analytic results improve clients business & financial metrics. Perform a role that involves a combination of hands-on contribution, customer engagement and team management. Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

8+ yrs of product management exp, with hands on exp with building cloud applications and Artificial intelligence. UI/UX exp OSS/BSS systems (including billing and service provisioning) within the telecom industry . Ready to work in Start up

JD for Techno Functional BA for Onshore and Offshore. Core BA skill set Requirement analysis/ definition Hands on User story writing Stakeholder management BRD / Process flow / UPN / BPMN hands on knowledge Tech bent of mind Ability to analyse integrations across systems. Understanding of APIs/ EoD / Intra day messages etc. Business + Tech architecture level appreciation. Any experience working on a data project is preferable to have. Flavour of AI / GenAI BA is highly desirable. Some one, who had implemented few projects in the past in AI use case.

Job Title: Executive AI Engineering Location: Andheri (Mumbai) Industry: Pharmaceutical Experience Required: 4+ years in Gen AI/ML, NLP application development About the Role: We are looking for a highly skilled Senior AI Engineer GenAI & Applied ML to independently design, develop, and deploy advanced AI solutions. This is a senior individual contributor role focused on building production-grade Generative AI systems, agentic applications, and intelligent bots using state-of-the-art LLMs, SLMs, and embedding models. You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends. Key Responsibilities: Design, build, and deploy production-ready AI solutions leveraging LLMs, SLMs, embedding models, and advanced ML techniques. Develop intelligent chat agents, voice-enabled bots, and autonomous agentic AI systems tailored to various domains and user contexts. Implement context-aware systems using RAG (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality. Fine-tune and customize open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance. Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems. Own the full AI lifecycle — from architecture and experimentation to deployment and performance tuning. Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts. Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation. Understanding of evaluation frameworks for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops. Requirements: 4 + years of hands-on experience in building and deploying AI/ML/NLP applications, including at least 2 years working with LLMs or GenAI systems in production environments. Proven experience with state-of-the-art LLMs/SLMs , such as GPT-3.5/4, Claude, LLaMA, Mistral, or similar, including prompt engineering, model evaluation, and fine-tuning. Practical expertise in building RAG pipelines , designing embedding workflows , and using vector databases like FAISS, Pinecone, or Weaviate. Strong Python programming skills with experience in Hugging Face Transformers , LangChain , LanGraph, OpenAI/Anthropic SDKs , and other GenAI frameworks. Solid grasp of ML/NLP fundamentals including data preprocessing , model optimization , evaluation metrics , and real-world deployment strategies . Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask). Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end. Bonus: Exposure to voice AI systems , speech-to-text APIs, or audio-driven interfaces is an advantage. Nice to Have: Familiarity with regulatory and compliance frameworks relevant to AI in life sciences, such as GxP , HIPAA , GDPR , or similar standards. Experience integrating AI models into enterprise platforms , pharma-specific systems , or regulated IT environments . Knowledge of agent frameworks (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases. Exposure to speech recognition APIs , voice interface design, or building voice-enabled assistants . Educational Qualifications: Bachelor’s Degree in Engineering (B.E./ B.Tech. ) or Master’s Degree in Computer Applications (MCA/ M.Tech) . Additional Qualifications in Artificial Intelligence, Machine Learning, or Data Science are highly desirable. Benefits We Offer: Access to a state-of-the-art facility equipped with modern and collaborative workspaces. Free gym facility to promote health and well-being of employees. Dynamic and inclusive work environment focused on innovation and continuous learning. Opportunity to work on impactful projects at the intersection of AI and life sciences. Competitive compensation.

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

Mandatory Skills: AI Cognitive. Experience5-8 Years.

Role: Solution Lead Do: - Understanding of business processes to determine problem statements in the F&A & HRO Vertical. Closely work with functional and domain experts and translate how technology can solve a business problem - Should be able to think through existing technology solutions and also have enough industry/market know how to bring in technologies from partners and develop alliances - Develop solution artefacts, value propositions with a representation of end to end business processes and mapping them back to technology solutions - Develop relationships with multiple stake holders (Below list is not exhaustive) - Functional team to understand the business needs - Technology teams to convert them into technology solutions - Sales and Pre Sales team acting as the engine enabling sales - He/she works as an individual contributor with excellent communication skills (both written and verbal) and is able to respond to RFI/RFP (RFx) and defend /present solutions with Client while working closely with the onsite Sales teams Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

We are looking for an expert in machine learning to help us extract value from our Electromyography [EMG] data You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field Qualifications:- Knowledge of ML-AI tools is mandatory, and- Bachelor's Degree in Engineering or equivalent education or job experience Skills, Abilities, Competencies Required: Must have excellent interpersonal and communication skills (verbal and written) Willingness to work flexible hours as needed Be able to follow detailed procedures and ensure accuracy and quality in documentation and data Must have the ability to adapt to changing pace within the company, with frequent interruptions Must demonstrate flexibility and willingness to adapt to diverse roles as a member of the core team Willingness to learn needed skills on the job in order to enhance performance Proficient in using Google Workspace

Job Title: Head of Gen-AI Strategy (Media & Content Tech) Skills: Deep understanding of Gen-AI tools (e.g. including but not limited to; OpenAI, Sora, ElevenLabs, Runway, Synthesia, Whisper, etc.). Strong knowledge of AI integration.

We're looking for a forward-thinking Graphic Designer who specializes in AI-driven content creation, avatar development, and viral social media design. This role combines artistic expertise with technical innovation to produce engaging visual content that showcases our real estate projects through dynamic, AI-enhanced storytelling. Key Responsibilities AI Content Creation & Avatar Development - Design and develop AI-powered avatar characters for conversational content and property presentations - Create compelling visual narratives using AI-generated imagery and video content - Collaborate with AI tools (Midjourney, DALL-E, Stable Diffusion, RunwayML) to produce high-quality visual assets -Design character personas and visual identities for virtual property consultants and brand ambassadors Social Media & Viral Content Design - Create scroll-stopping visual content optimized for Instagram, YouTube, TikTok, and other platforms - Design engaging property showcase videos, virtual tours, and interactive presentations - Develop viral-worthy content formats including memes, infographics, and trend-based visuals - Create cohesive visual campaigns that drive engagement and property interest Brand Integration & Marketing Support - Maintain brand consistency across all AI-generated and traditional design materials - Design marketing collateral for property launches, events, and digital campaigns - Create presentation materials, brochures, and digital assets for sales teams - Develop visual content for website, social media, and advertising campaigns Required Skills & Experience AI & Digital Design Expertise 3+ years of graphic design experience* with demonstrable portfolio of digital content Proficiency in AI design tools*: Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, or similar platforms Avatar creation experience*: Character design, rigging, or animation for conversational interfaces - *Video editing skills*: Adobe Premiere Pro, After Effects, or similar software for AI-enhanced video content - *Motion graphics capabilities*: Creating animated content, transitions, and dynamic visual elements Social Media & Viral Content Mastery - *Proven track record* of creating viral or high-engagement social media content - *Platform expertise*: Deep understanding of Instagram, YouTube, TikTok, LinkedIn content formats and algorithms - *Trend awareness*: Ability to identify and capitalize on emerging social media trends and formats - *Analytics understanding*: Experience using social media metrics to optimize content performance Technical Proficiencies - *Adobe Creative Suite mastery*: Photoshop, Illustrator, InDesign, Premiere Pro, After Effects - *3D modeling/rendering*: Blender, Cinema 4D, or similar software (preferred) - *Web design basics*: HTML/CSS knowledge, responsive design principles - *AI prompt engineering*: Skill in crafting effective prompts for AI image and video generation - *File management*: Understanding of various file formats, compression, and optimization for different platforms Creative & Strategic Abilities - *Portfolio demonstrating*: Viral content creation, AI-assisted design work, and social media campaigns - *Brand storytelling*: Ability to translate real estate projects into compelling visual narratives - *Cross-platform thinking*: Experience adapting content for multiple social media formats - *Collaboration skills*: Experience working with marketing teams, content creators, and stakeholders Preferred Qualifications Advanced AI & Technology Experience - Experience with *conversational AI platforms* (ChatGPT, Claude, Bard) for content ideation - *3D rendering and virtual tour creation* for real estate applications - *AR/VR content creation* experience - Knowledge of *machine learning workflows* for creative applications - Experience with *automated content generation* tools and workflows Industry & Specialized Knowledge - *Real estate marketing experience*: Understanding of property marketing, target audiences, and sales cycles - *Influencer collaboration*: Experience working with content creators and social media influencers - *Live streaming setup*: Knowledge of equipment and software for live social media content - *SEO and digital marketing basics*: Understanding how visual content supports overall marketing strategy What We Offer - Competitive salary commensurate with experience - Creative freedom to experiment with cutting-edge AI tools and technologies - Professional development budget for AI/design training and certification - Collaborative environment with marketing, sales, and development teams - Opportunity to shape the future of real estate marketing through innovative content Application Requirements Please submit: 1. *Portfolio showcasing*: - AI-assisted design work - Viral or high-engagement social media content - Avatar or character design examples - Real estate or property-related design work (if available) 2. *Cover letter addressing*: - Your experience with AI design tools - Examples of content you've created that achieved viral success - Your vision for AI-driven real estate marketing 3. *Links to social media accounts* or campaigns you've managed/contributed to Join us in revolutionizing real estate marketing through the power of AI-driven design and viral content creation! Interested? Drop your resume at hr@jnc.global or what'sApp to 9154361160

Magenta Brass Private Limited is looking for Android Engineer to join our dynamic team and embark on a rewarding career journey Develop and maintain Android applications. Write clean, efficient, and maintainable code. Collaborate with cross-functional teams to gather and analyze requirements. Conduct testing and debugging to ensure application functionality. Optimize applications for performance and scalability. Stay updated with industry trends and emerging technologies.

The AI Solutions Architect will be responsible for identifying AI opportunities, designing AI solutions, and managing AI projects from concept to deployment. This role requires a deep understanding of AI technologies, strong business acumen, and excellent project management skills. The ideal candidate will work closely with clients to understand their needs and deliver AI-driven solutions that provide significant business value. Key Responsibilities: Conduct workshops and discussions with clients to understand their business challenges. Train and fine-tune AI models using datasets Analyze client data and processes to identify opportunities for AI implementation. Prioritize AI use cases based on potential impact and feasibility. Develop proof-of-concept (PoC) projects to demonstrate AI capabilities. Design AI models and algorithms tailored to specific use cases. Collaborate with data scientists and engineers to build and deploy AI solutions. Create project plans, timelines, and budgets for AI initiatives. Ensure projects are delivered on time and within scope. Manage stakeholder expectations and provide regular updates. Oversee the integration of AI solutions into existing systems. Ensure the scalability and reliability of AI implementations Monitor and optimize AI models post-deployment. Provide training to clients on how to use and maintain AI solutions. Offer ongoing support and troubleshooting. Keep up with the latest advancements in AI technology. Continuously explore new tools, techniques, and best practices. Develop different AI based solutions such as, but not limited to, RAG, AI agents, and vision models. Architect the right solutions of different AI based use-cases and products Qualifications: Strong background in AI/ML technologies. Proficiency in programming languages such as Python. Experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Keras). Knowledge of data processing and analysis. Understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services. As well as ability to understand business processes and identify areas where AI can add value. Understand how AI can be applied and used in business applications to help drive business value and outcomes. Experience in creating business cases for AI projects. Understanding of industry-specific challenges and opportunities. Strong problem-solving skills. Ability to analyze large datasets to identify trends and patterns. Experience in designing and conducting experiments to test AI models. Experience in managing AI projects from conception to deployment. Ability to coordinate with cross-functional teams (developers, data scientists, business stakeholders). Ability to explain complex AI concepts to non-technical stakeholders. Experience in writing technical documentation and presenting findings. Strong knowledge of different things including both open and closed source models. Strong knowledge of available open source AI tools, datasets, and tools. Experience in training and finetuning LLMs and AI models.

We are looking for a Dot Net specialist with expertise on MVC and Dot Net Core Duties: 6+ years of software development experience .Net Development, C#, ASP.Net MVC Dot Net core expertise is a big plus Strong working knowledge of SQL, C#, JavaScript and JQuery Strong working Knowledge of HTML, AJAX, XML, CSS Excellent interpersonal skills for coordinating across teams Deep experience and expertise with designing, implementing, testing and deploying sophisticated net applications Experience developing secure and scalable REST API Understanding of OAuth authentication and SSO Experience with cloud technologies Leads by example Experience of working on highly scalable SaaS products Keen to learn and master new technologies and techniques Excellent software development skills with very sound logic Perks of joining team Konnect Insights: Best exposure to work on latest technologies Working with some of the best global brands Opportunity to travel if technical skills and interpersonal / verbal skills are very good Opportunity to work on huge volumes of data Opportunity to learn best practices on working on live product which is used by thousands of users Opportunity to work on various functional domains Deals in the hottest industry SaaS, Customer Experience, AI, Big-Data

We are seeking a Machine Learning Engineer with a strong background in AI/ML techniques and expertise in computer vision . The ideal candidate will have experience with model fine-tuning , working with pre-trained models, and deploying machine learning solutions at scale. You will be responsible for developing, optimizing, and fine-tuning ML models for various AI-powered applications, including image and video analysis, object detection, and more. Key Responsibilities: Design, build, and fine-tune machine learning models for computer vision applications, such as object detection, segmentation, image classification, and scene understanding. Leverage pre-trained models (e.g., CNNs, transformers, YOLO , etc.) and perform fine-tuning to adapt them to specific use cases. Optimize model performance by implementing cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Work closely with data scientists, engineers, and product teams to deliver AI solutions that meet business requirements. Develop scalable solutions and deployment pipelines to operationalize machine learning models. Maintain a strong focus on the efficiency of models, ensuring high speed and low latency in production environments. Stay up-to-date with the latest trends and technologies in AI, machine learning, and computer vision, applying this knowledge to improve existing solutions. Conduct rigorous evaluation of models using relevant metrics and implement strategies for performance improvement. Troubleshoot and resolve model-related issues in production environments. Required Qualifications: Bachelor's/Master's/PhD in Computer Science 3+ years of experience in machine learning or deep learning, with a focus on computer vision . Expertise in model fine-tuning , transfer learning, and working with pre-trained models (e.g., ResNet, VGG, EfficientNet, etc.). Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, or similar. In-depth understanding of deep learning architectures (e.g., CNNs, RNNs, transformers). Familiarity with vision-specific tasks such as image classification , object detection , semantic segmentation , and image generation . Hands-on experience with training large models and optimizing them for performance and resource constraints. Knowledge of data preprocessing, augmentation, and labeling techniques for vision tasks. Proficiency in programming languages such as Python, C++, or similar. Strong understanding of model evaluation techniques and metrics for computer vision tasks (e.g., mAP, IoU, AUC ). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker is a plus.

We are seeking an innovative and highly motivated AI Research Scientist with expertise in Large Language Models (LLMs) and Generative AI (GenAI) to join our cutting-edge AI research team. As a core member of the team, you will contribute to pioneering research, develop state-of-the-art models, and help push the boundaries of AI technologies. The ideal candidate will have a deep understanding of machine learning, natural language processing (NLP), and generative models, with a passion for tackling complex problems and advancing AI. Key Responsibilities: Conduct Original Research: Lead research in the areas of LLMs, Generative AI, and NLP to propose novel algorithms, architectures, and methodologies that advance the state of the art. Model Development & Implementation: Design, develop, and experiment with advanced models, focusing on scaling, fine-tuning, and improving large language models for various applications, such as text generation, summarization, translation, and dialogue systems. Collaboration: Work closely with cross-functional teams (data science, engineering, product, etc.) to translate research ideas into production-ready solutions. Publications & Thought Leadership: Publish papers in top-tier conferences and journals (e.g., NeurIPS, ICML, ACL, CVPR). Present research at industry events and stay at the forefront of the latest advancements in AI. Model Evaluation & Benchmarking: Define metrics, evaluate model performance, and optimize the efficiency and scalability of LLMs and GenAI systems. Experimentation: Conduct rigorous experiments to analyze model behavior and improve robustness, fairness, and generalization. Mentorship: Provide guidance and mentorship to junior researchers and team members. Required Qualifications: PhD or Masters in Computer Science, AI, Machine Learning, or a related field. Strong background in Natural Language Processing (NLP) , Deep Learning , and Generative AI . Proficiency in Deep Learning frameworks such as PyTorch, TensorFlow, or JAX. Proven experience with Large Language Models (LLMs) , transformer-based architectures (e.g., GPT, BERT, T5), and related NLP techniques. Strong programming skills in Python , with experience in relevant libraries (e.g., Hugging Face Transformers, TensorFlow, PyTorch). Solid understanding of optimization techniques, model training, and scaling large models. Experience with distributed computing , cloud platforms (AWS, GCP, Azure), and parallel processing techniques. Demonstrated experience in research publications in top-tier AI/ML conferences and journals. Preferred Qualifications: Experience in Large Language Models (LLMs) . Understanding of AI ethics , fairness, bias mitigation, and explainability in AI models.. Strong publication record in areas like Generative Models , Self-Supervised Learning , Transfer Learning , etc.

Reportsto GroupVP/ ChiefDeliveryOfficer, Dotted line to CSandSAVertical Heads ReBIT functions as a think tank for RBI for Information Technology and associated Security adoption for theplanning, executionand strategicroles of RBI in Central Banking. The Cyber Security (CS) Vertical provides the next Gen services and protection in CyberSecurity,Engineering and GovernanceforRBI. TheSystemAudit (SA) vertical is responsible forproviding technicalaudit supportto RBI ssupervision function. TheProject Management functionis responsible for building the platform, Enterprise applications and offer Enterprises services for various functions/ departmentofRBI. In order to offer relevant services and nextgeneration products and solutions in the areas of Cyber Security which are needed for CS and SA vertical core Research in various advancements in Cyber security is needed. Based on the varioustools,solutionsand applications need tobe developed whicharestateofthe art, proactive, smart and AI/ML enabled. The ESRD Business Unit is formed for this purpose and VP is responsible for spearheading this function, strategizing and execution of all functions in this Business Unit. The ESRD BU will have sub COEs of Security Research in multiple domain areas with association with CS/SA COEs and formulations of AI/ML models in association with Data Science COE. TheESRDBU also willhavea Core development teamfor developing and enhancing the solutions and products based on RBI Enterprise Platform. They will be augmented by various expert resources from various COEs/BUs of Project Management (PM) vertical. This role works closely with the teams of RBI in Department of Supervision (DOS), Department of Payment and Settlement Systems (DPSS), Department of IT (DIT) and Department of Risk Management as well as other Depts on a need basis. Mandatory qualifications Graduate degreein information systems,engineering, technology, computer science, or a related field. Masters degree in technology/management preferred Extensive experiencein technology function or in technology Research, Development. Relevant experience in financial services desirable. Strong understanding of application development, databases, networking, technology infrastructure and cyber security technologies. Handson experience in software development preferred Advanced knowledge of Technology Risk Management and cybersecurity Controls, including: Business Continuity Management Privacy and Data Protection Application Security (e.g., user entitlements, authentication, accountability) System Architecture and Design (e.g., availability, performance, scalability, data integrity) Technology Operations (e.g., change and release management, data backup and retention, capacity management) Technology Governance (e.g., technology risk management, metrics/ KRIs, cybersecurity rules and regulations) Interest in broad exposure in banking domain areas - banking operations, payment systems, investment management, sales, trading, operations, risk management, finance, legal, and compliance activities in the banking industry Proficient understanding of current regulatory and industry events Experience in Building solutions and products in Cyber security and AI/ML based Enterprise products Relevant professional certifications are a plus Research Papers, Patents will be definite advantage Desired Skills 22-24 Years of relevant industry experience, ofwhichatleast 5years asCTO/ Head of Engineering / Head of R&D. A history of proven delivery of results. Excellent communication (verbal, written, listening) and interpersonal skills Ability todevelopeffective working relationships with peersand stakeholders Should bea teamplayer with provenleadership qualities Intellectualand researchcuriosity andhealthy skepticism Abilityto synthesize and articulate complex ideas Critical thinking andproblem-solving abilities Strong project management, organizational, and presentation skills Commitmentandstrongwork ethic Domain IT/ITES, Banking captiveunits, Banking / financialservices , CyberSecurity Consulting/Auditing organizations Establishing ESRD asacore Business Unitwithin REBIT Gain respect within RBIand REBIT as Core and high performing Research unit and Building Cyber security-based solutions and Products for the functions of CS, SA and PM which will enable RBI for more effective Central Banking Building ahigh performing team, establishing processand delivery models Key Focus Areas will be NexGen Audit Toolsandapplications basedonAI/ML Modelling Autonomous and human-less/ agenticAI/MLmodels for Audit SIEM enhanced log analysis withML models ThreatHunting models / Proactive threat detections Enhancing threat attack detection with cyber kill chain patterns Critical infrastructure attack surface models NexGen Cybersecurity Mesh solutions and products Quantum based encryptions Data classification and privacy solutions Advanced endpoint/ perimeter security

BITSTEK CONSULTING is looking for AI Intern to join our dynamic team and embark on a rewarding career journey Assist in developing AI models and algorithms. Conduct data preprocessing and analysis. Support AI project planning and execution. Collaborate with AI engineers and researchers on projects. Learn and apply AI techniques under supervision.

Unleash your creativity Design compelling visuals, social media posts, marketing collaterals, and brand assets to enhance client branding and marketing efforts Should have working knowledge of Adobe suite and especially Photoshop, AI, Corel Draw as well as online apps like Canva premium, adobe express, etc

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Description Empower India Data Science team is looking for a Sr. Analyst who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. Role Responsibilities: Understand the complex business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Handle the project end-to-end independently Able to present the analysis and results to the senior stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management/Statistics/Economics/Finance Required Experience: 2-6 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Co-ordinate with different teams to be able to gather required information Strong written and verbal communication skill and be able to present the results to the senior stakeholders Good understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Excellent team player This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

AVP/DVP Data Science AI, ML - Life Insurance - Goregaon AI & Machine Learning Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed. Partner with cross-functional teams to identify AI use cases and deliver measurable business value. Data Science & Analytics Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development. Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes. Leadership & Strategy • Mentor and guide junior team members, fostering their professional growth. Cloud Architecture & Engineering Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting. Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure. Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML. Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments. Experience • 8+ years of experience in AI and Data Science roles. Required Skills Proficiency in Python and SQL. Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit learn Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) techniques In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure. Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake. Sound knowledge of data privacy, governance, and ethical AI practices. Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.

Job Summary We are seeking a highly skilled Sr. Architect with 12 to 16 years of experience to join our team. The ideal candidate will have expertise in Raincode Platform CICS VSAM JCL DB2 and Cobol. This hybrid role requires a strategic thinker who can design and implement robust architectural solutions. The position offers the opportunity to work on cutting-edge projects that drive the companys success and impact society positively. Responsibilities Design and develop comprehensive architectural solutions using Raincode Platform ensuring alignment with business goals and technical requirements. Collaborate with cross-functional teams to integrate CICS VSAM JCL DB2 and Cobol into existing systems enhancing overall system performance. Provide technical guidance and mentorship to junior team members fostering a culture of continuous learning and improvement. Analyze complex business problems and develop innovative solutions that leverage the latest technologies and best practices. Oversee the implementation of architectural designs ensuring adherence to quality standards and project timelines. Conduct regular system audits and performance evaluations to identify areas for improvement and optimization. Develop and maintain architectural documentation ensuring clarity and accessibility for all stakeholders. Engage with stakeholders to gather requirements and translate them into actionable technical specifications. Ensure compliance with industry standards and regulations minimizing risk and enhancing system security. Lead efforts to modernize legacy systems incorporating new technologies and methodologies to improve efficiency. Collaborate with project managers to ensure successful project delivery meeting or exceeding client expectations. Drive innovation by researching emerging technologies and assessing their potential impact on the organization. Facilitate workshops and training sessions to share knowledge and promote best practices across the organization. Qualifications Possess in-depth knowledge of the Raincode Platform and its application in enterprise environments. Demonstrate expertise in CICS VSAM JCL DB2 and Cobol with a proven track record of successful implementations. Exhibit strong problem-solving skills and the ability to think strategically about complex technical challenges. Have excellent communication skills capable of conveying technical concepts to non-technical stakeholders. Show a commitment to continuous learning and staying current with industry trends and advancements. Be detail-oriented with a focus on delivering high-quality solutions that meet or exceed client expectations. Display a collaborative mindset working effectively with diverse teams to achieve common goals.

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.