333 Ai Solutions Jobs - Page 4

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

The ideal candidate for the position of Associate Director - Contact Center Transformation in Mumbai/Pune should have a minimum of 15+ years of experience. They should possess expertise in Digital Transformation, Contact Centre Transformation, and CX Transformation for both international and mix of domestic & international processes. The role involves managing multiple accounts across various domains such as CRM, Tech, aviation, Retail, and travel, focusing on voice services predominantly, complemented by non-voice services. A successful candidate must have a strong background in Lean methodologies, Process re-engineering, and the deployment of AI solutions. Proficiency in deploying solutions like Voice Bot, Chat Bots, Conversational bots, etc. is essential. Familiarity with the Scaled Agile Framework and experience in the contact center or BPO industry are also key requirements. Additionally, candidates with Six Sigma Greenbelt or Blackbelt certifications will be preferred. Possession of a PMP certification and OCM (Organizational Change Management) certification are advantageous. The role may require 5-day workweeks, extended hours, and support on an as-needed basis. Qualifications: - Role: Associate Director - Contact Centre Transformation - Industry Type: ITES/BPO/KPO - Functional Area: Contact Centre Transformation - Education: M.B.A - Employment Type: Full Time, Permanent Key Skills: - CEM TRANSFORMATION - CONTACT CENTRE - CONTACT CENTRE TRANSFORMATION - CX TRANSFORMATION Other Information: - Job Code: GO/JC/589/2025 - Recruiter Name: Hemalatha,

As the Head of Training Delivery & Operations at iamneo, a fast-growing B2B EdTech SaaS company, you will be responsible for driving end-to-end delivery excellence across tech upskilling and assessment programs. Your role will involve scaling training teams, streamlining hiring processes, and meeting delivery KPIs while aligning with client outcomes and business growth targets. You will oversee a distributed training ecosystem of freelance and full-time trainers, managing engagements across University clients. Your key responsibilities will include developing and owning the training operations strategy aligned with organizational goals, translating priorities into tactical roadmaps, and aligning hiring and trainer capability building with strategic focus areas such as GenAI, DevOps, Cloud, Java, and Python. You will lead and mentor a team consisting of a Trainer Hiring Lead, Trainer Manager, and Program Delivery Head, fostering collaboration to ensure agility in resourcing and operational excellence. In order to drive operational excellence, you will implement a training ops tech stack, optimize trainer allocation and schedules, and track performance metrics to resolve operational escalations. You will also engage with stakeholders and clients, plan for demand surges, and ensure high-touch engagement to align outcomes. Furthermore, you will focus on continuous improvement and innovation by building feedback loops, driving cost efficiencies, and evaluating AI-led solutions for hiring and scheduling. The ideal candidate for this role is a strategic leader with an execution mindset, experienced in scaling training teams across domains like IT, BFSI, or EdTech. You should be passionate about enhancing trainer experience, adept at managing enterprise and University clients, and data-driven with a strong focus on operational KPIs. Hands-on experience in managing large pools of trainers and exposure to enterprise training in domains like GenAI, ServiceNow, Java, Cloud, Python, and BFSI will be advantageous. Working at iamneo will provide you with the opportunity to be part of a high-impact team in the EdTech sector, lead strategy and execution for a key business vertical, and thrive in a flat organizational structure within a fast-paced growth environment. Along with these exciting challenges, you can expect a competitive salary package. Skills required for this role include mentoring, training delivery, agile methodologies, operations management, data analysis, HR management, L&D strategy, AI solutions, leadership, stakeholder engagement, trainer recruitment, and expertise in the EdTech sector.,

Job Title: AI Engineer Required Experience :-2 to 5 years Key Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. • This role is based in an AI lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic environment. Qualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architecture, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code and address complex technical challenges effectively. Self-motivated and afast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

Bandi Informatics is seeking a highly skilled and motivated AI Specialist to join our growing team in Chennai. This role will primarily focus on developing and implementing Artificial Intelligence solutions for our USA healthcare clients. The ideal candidate will possess a strong understanding of AI/ML principles, experience with healthcare data, and the ability to work effectively during US business hours. Key Responsibilities: AI/ML Model Development: Design, develop, train, and deploy AI and Machine Learning models tailored for various healthcare applications, including but not limited to: Medical imaging analysis (e.g., disease detection, segmentation) Natural Language Processing (NLP) for clinical text analysis (e.g., electronic health records, patient notes, medical reports) Predictive analytics for patient outcomes, disease progression, or resource optimization. Automation of healthcare administrative processes (e.g., medical billing, transcription quality assurance). Data Preprocessing and Feature Engineering: Work with large, complex, and often unstructured healthcare datasets. This includes data cleaning, transformation, normalization, and creating relevant features for model training. Model Evaluation and Optimization: Evaluate the performance of AI/ML models using appropriate metrics, perform hyperparameter tuning, and implement strategies for continuous model improvement. Algorithm Selection and Customization: Research and select appropriate AI/ML algorithms (e.g., deep learning, supervised learning, unsupervised learning) based on specific problem statements and data characteristics. Customize and adapt algorithms as needed for optimal performance in healthcare contexts. Collaboration with Domain Experts: Work closely with healthcare professionals, data scientists, and software developers to understand requirements, translate business problems into AI solutions, and integrate AI models into existing systems. Staying Updated: Keep abreast of the latest advancements in AI/ML, particularly in the healthcare domain, and evaluate their potential application to Bandi Informatics' projects. Documentation and Reporting: Document model architectures, methodologies, results, and insights clearly and concisely. Prepare reports and presentations for both technical and non-technical stakeholders. Compliance and Ethics: Ensure all AI development adheres to healthcare data privacy regulations (e.g., HIPAA) and ethical AI principles. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Engineering, or a related quantitative field. Proven experience (X years, specific number negotiable based on seniority) in developing and deploying AI/ML solutions, with a strong portfolio of projects. Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras). Proficiency in programming languages such as Python (with libraries like scikit-learn, NumPy, Pandas) and experience with data visualization tools. Experience working with healthcare data, including knowledge of medical terminologies (e.g., ICD, CPT) and healthcare data standards. Strong analytical and problem-solving skills with the ability to work independently and collaboratively. Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex technical information. Ability to work the specified shift timings (6:00 PM to 2:30 AM IST) to overlap with USA healthcare business hours. Preferred Skills (Nice to Have): Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI/ML models. Familiarity with MLOps practices for model deployment, monitoring, and maintenance. Knowledge of medical imaging modalities (e.g., X-ray, MRI, CT) and relevant image processing techniques. Prior experience in a BPO or ITES environment serving international clients.

Are you a performance-driven digital marketer who can generate real results? Digital Chandu Solutions is looking for a skilled Digital Marketing Specialist who excels in SEO, Google Ads, Social Media Marketing, Google Analytics, and Content Creation with a clear focus on delivering high-quality leads and sales for clients . Role Overview Join our expert team and take the lead in planning and executing result-oriented digital campaigns. Your strategies will directly impact our clients' growth by driving visibility, engagement, and conversions. Key Responsibilities SEO Mastery: Plan and implement full-scale SEO strategies (on-page & off-page) to rank websites and increase organic traffic. Google Ads Expert: Set up, monitor, and optimize Google Ads campaigns to generate qualified leads and boost conversions. Social Media Marketing: Manage paid and organic campaigns across platforms like Facebook, Instagram, LinkedIn, and Twitter. Google Analytics & Reporting: Use data to track performance, derive insights, and continuously improve digital marketing strategies. Content Creation: Collaborate with the team to produce SEO-friendly, engaging content for ads, blogs, emails, and landing pages. Lead Generation & Sales Focus: Every campaign must be targeted toward producing measurable business outcomes leads and revenue. Requirements Proven track record in SEO, Google Ads, SMM, and content-driven lead generation. Hands-on experience with tools like Google Analytics, Search Console, SEMrush, Ahrefs, and Meta Ads Manager. Strong knowledge of digital funnels, conversion tracking, and audience targeting. Ability to create, execute, and optimize ROI-focused campaigns. Excellent communication and analytical skills. Why Join Digital Chandu Solutions? 100% Word From Office Work with real-time clients & projects Performance-based growth opportunities Learn and evolve with a results-first digital team Ready to turn your skills into success for our clients? Apply now and become a part of Digital Chandu Solutions where results matter.

Responsibilities: * Assist with AI platform development and implementation. * Collaborate on AI solution design and delivery. * Contribute to emerging tech research and adoption. * Stay updated on AI trends and best practices.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Location : Galaxy Diamond Plaza, Sector 4, Greater Noida (Near Char Murti) Working Days : 6 Days a Week Visacent Pvt. Ltd. is looking for a creative and detail-oriented professional who can create, edit, and proofread content using AI tools with a human touch. If you're skilled in writing and tools like ChatGPT , this opportunity is for you! Your Responsibilities: Create and rewrite content using AI tools Proofread for grammar, tone, and clarity Update and enhance older content Write SEO-friendly and engaging content Work on blogs, website pages, social posts, etc. Share how many documents you can complete per day Use tools like Canva or AI for basic visuals Requirements: Experience with AI tools (ChatGPT, Jasper, Grammarly, etc.) Strong in proofreading and rewriting SEO content knowledge Previous content/editorial role Good English & typing speed (40+ WPM) Basic computer knowledge Willingness to work in shifts (including weekends) Responsible, focused & self-driven Why Join Us? Work with an international brand Use the latest AI tools Creative freedom & ownership Growth-focused and friendly team Salary as per market standards (discussed post-interview)

Looking for someone who have exp :- B2B Technical Sales selling custom software AI solutions, SaaS products. consultative selling,SDRs closing high-value deals and both inside and field sales international client handling CRMs account management

Responsibilities: Attend studio front desk & greet clients Handle customer queries & follow-ups Assist with basic photo editing (Photoshop) Maintain studio organization Support order tracking & delivery Provident fund Health insurance Annual bonus Sales incentives Food allowance

You are a strategic thinker passionate about driving solutions and innovation mindset. You have found the right team. As a Data Engineer in our STO team, you will be a strategic thinker passionate about promoting solutions using data. You will mine, interpret, and clean our data, asking questions, connecting the dots, and uncovering hidden opportunities for realizing the data's full potential. As part of a team of specialists, you will slice and dice data using various methods and create new visions for the future. Our STO team is focused on collaborating and partnering with business to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India. Job Responsibilities: - Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks. - Perform data analysis and computation to derive actionable insights from the data. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. - Ensure data quality, integrity, and security across all data processes. - Develop optimized solutions for performance and scalability. - Monitor and troubleshoot data workflows to ensure reliability and efficiency. - Document data engineering processes, methodologies, and workflows. - Communicate analytical findings to senior leaders through data visualization and storytelling. Required qualifications, capabilities and skills: - Minimum 3+ years of hands-on experience in developing, implementing, and maintaining Python automation solutions including the use of LLM. - Develop, implement, and maintain new and existing solutions. - Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources. - Ability to use LLM to build AI solutions. - Perform data analysis and computation to derive actionable insights from the data. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. - Ensure data quality, integrity, and security across all data processes. - Monitor and troubleshoot data workflows to ensure reliability and efficiency. - Document data engineering processes, methodologies, and workflows. Preferred qualifications, capabilities and skills: - Hands-on experience in Python desktop solution development. - Knowledge of machine learning and data science concepts will be a plus. - Experience with data visualization tool Tableau will be a plus.,

Job Summary We are seeking a skilled and innovative Cloud Engineer to join our team. As a Cloud Engineer, you will be responsible for developing and maintaining cloud-based solutions, with a focus on coding complex problems, automation using Golang and Python, and collaborating with the Site Reliability Engineering (SRE) team for feature deployment in production. Additionally, the ideal candidate should be proficient in utilizing AI tools like Copilot to enhance productivity in the areas of automation, documentation, and unit test writing. Responsibilities: • Develop, test, and maintain cloud-based applications and services using Golang and Python. • Write clean, efficient, and maintainable code to solve complex problems and improve system performance. • Collaborate with cross-functional teams to understand requirements and design scalable and secure cloud solutions. • Automate deployment, scaling, and monitoring of cloud-based applications and infrastructure. • Work closely with the SRE team to ensure smooth feature deployment in production environments. • Utilize AI tools like Copilot to enhance productivity in automation, documentation, and unit test writing. • Troubleshoot and resolve issues related to cloud infrastructure, performance, and security. • Stay up to date with emerging technologies and industry trends to continuously improve cloud-based solutions. • Participate in code reviews, knowledge sharing sessions, and contribute to the improvement of development processes. Job Requirements • Strong programming skills in Golang and Python. • Proficiency in using AI tools like Copilot to enhance productivity in automation, documentation, and unit test writing. • Solid understanding of cloud computing concepts and services (e.g., AWS, Azure, Google Cloud). • Experience with containerization technologies (e.g., Docker, Kubernetes) and infrastructure-as-code tools (e.g., Terraform, CloudFormation). • Proficient in designing and implementing RESTful APIs and microservices architectures. • Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD). • Knowledge of networking concepts, security best practices, and system administration. • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams. Preferred Skills: • Experience with other programming languages, such as Java, C++, or Ruby. • Knowledge of database technologies (e.g., SQL, NoSQL) and data storage solutions. • Familiarity with monitoring and logging tools (e.g., Prometheus, ELK stack). • Understanding of Agile/Scrum methodologies and DevOps principles. • Certifications in cloud technologies (e.g., AWS Certified Cloud Practitioner, Google Cloud Certified - Associate Cloud Engineer) would be a plus. If you are passionate about cloud technologies, have a strong problem-solving mindset, and enjoy working in a collaborative environment, we would love to hear from you. Join our team and contribute to building scalable, reliable, and secure cloud solutions. Please note that this job description is not exhaustive and may change based on the organization's needs. Education A Bachelor of Science Degree in Engineering or Computer Science with 2 years of experience, or a Master’s Degree; or equivalent experience is typically required.

Part-Time | Remote | Profit-Sharing | Payout Every 10 Days Launch & manage Meta, YouTube & Google Ads Drive quality leads for online & B2B training Support with ad creatives & landing pages Track performance & share bi-weekly reports Required Candidate profile Promote AI-based Excel Video Courses & Corporate Training Work on a profit-sharing model (no fixed cost) Generate & convert leads (B2C & B2B) Collaborate with marketing team on campaigns

Responsibilities: * Collaborate with cross-functional teams on MERN full stack projects using React.js, TypeScript & JavaScript. * Design, develop, test & maintain scalable APIs on AWS backend with Node.js.

Roles: Design and optimise Snowflake data architectures for AI and analytics. Develop scalable OLAP models for real-time and customer insights. Collaborate with AI, engineering, and product teams. Drive data governance, security, and performance. Annual bonus

Role & responsibilities What you will be doing Consulting & Strategy Assess client needs and identify opportunities for agentic AI integration. Develop strategic roadmaps for deploying autonomous AI agents across business functions. Educate stakeholders on the capabilities, risks, and ethical considerations of agentic AI. Lead end-to-end delivery of RPA and Gen AI projects across BFS clients. Strong domain knowledge of BFS processes (e.g., Lending, Deposits, KYC, AML, loan processing, risk management). Collaborate with business stakeholders to gather requirements, define project scope, and translate them into technical specifications. Manage cross-functional teams including developers, data scientists, business analysts, and QA. Drive project planning, execution, risk management, and stakeholder communication. Evaluate and recommend RPA tools (e.g., UiPath, Automation Anywhere) and Gen AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI). Ensure compliance with BFS industry regulations and data privacy standards. Monitor KPIs and ROI of automation and AI initiatives. Stay updated with emerging trends in AI, RPA, and BFS technologies. Solution Design & Implementation Assist in Design of agentic AI architectures using LLMs, multi-agent systems, and tool-augmented reasoning frameworks. Collaborate with data scientists, engineers, and product teams to prototype and deploy AI agents. Integrate agents with APIs, databases, and enterprise tools to enable real-world action-taking. Evaluation & Optimization Define KPIs and evaluation metrics for agent performance. Continuously monitor, test, and refine agent behavior to ensure alignment with business goals. Stay current with the latest research and tools in agentic AI, LLMs, and autonomous systems. What you Bring Bachelors or masters degree in computer science, Information Technology, or related field. 10+ years of experience in IT project management, with at least 35 years in RPA and/or Gen AI. Strong domain knowledge of BFS processes (e.g., KYC, AML, loan processing, risk management). Hands-on experience with RPA tools (UiPath, Blue Prism, Automation Anywhere). Familiarity with Gen AI models and platforms (LLMs, prompt engineering, fine-tuning). Familiarity with APIs, cloud platforms (AWS, Azure, GCP), and data integration pipelines. Proven ability to manage large-scale digital transformation projects. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications: Experience integrating AI solutions with legacy BFS systems. Exposure to cloud platforms (Azure, AWS, GCP). Understanding of data governance and AI ethics in BFS. Experience with autonomous agents in real-world applications (e.g., customer support, research automation, workflow orchestration). Knowledge of reinforcement learning, planning algorithms, or cognitive architectures. Understanding of AI safety, alignment, and interpretability challenges Added bonus if you have: 1-year of customer service experience 1-year experience working in a high-volume call center Excellent customer service skills that build high levels of customer satisfaction What we offer you A competitive salary with attractive benefits including private medical and dental coverage insurance A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities A modern work environment and a dedicated and motivated team A broad range of professional education and personal development opportunities A work environment built on collaboration and respect Looking for Candidates with good experience into Project Management RPA, working into Gen AI models. Currently work from home, should be open to hybrid module as well. Interested candidate can send their CV to esther.karkada@fisglobal.com

Job Title GenAI SpecialistExperience 0-5 YearsLocation Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

Job Brief We are seeking an AI Lead Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Priority will be given to candidates who have demonstrated experience in building small applications using existing libraries and datasets, creating layers or wrappers to develop innovative solutions. We value the ability to integrate and unify existing technologies rather than developing from scratch, as this approach aligns with our fast-paced, innovation-driven environment. You'll balance innovative thinking with practical implementation, driving substantial business impact through rapid prototyping and deployment of AI solutions. Responsibilities Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills Master's in Computer Science, Engineering, AI, or a related field 7+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders Preferred Qualifications Experience with reinforcement learning and generative AI models Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience with database systems (SQL and NoSQL) Contributions to open-source AI projects or research publications in the field of AI.

Location: Sector 44, Gurugram Salary: 3.5 4 LPA Industry - IT Requirements: 1. Strong knowledge of Python & JavaScript 2. Minimum 2 years of hands-on experience 3. Experience with automation, APIs, and AI tools 4. Problem-solving mindset and ability to work independently Role Overview: 1. Build smart tools to automate daily tasks 2. Work with APIs and AI tools (like ChatGPT) 3. Write scripts for data handling, lead tracking, and auto-replies 4. Use Python for backend logic, JavaScript for browser tasks 5. Collaborate with teams to understand and solve business problems 6. Maintain and update scripts for smooth performance

As an Intern at our next-gen tech firm, your day-to-day responsibilities will involve working on tele-calling leads from a provided lead sheet. You will be tasked with inviting them to experience a virtual reality and AI-based solution demo tailored to their industry. Upon confirmation of a time slot, you will visit the lead's location to conduct the demo and present our innovative solutions, which include Virtual Tours, Walkthrough Videos, and AI solutions. It will be your responsibility to highlight the importance and benefits of our solutions for the respective industry of the leads. You will follow our standard procedures for the sequence of showing demos and perfecting the presentation script. Additionally, you will explain the cost benefits of our technology compared to traditional methodologies to the leads. Your focus will be on the most responsive leads, understanding their interests and stature to tailor the presentation effectively. Furthermore, you will showcase testimonials and reviews from existing customers to prospective clients. It is crucial to update and keep management informed by maintaining accurate records in Excel sheets and ERP reports, including call reports and work plans. If necessary, you will also arrange remote or physical meetings between leads and management for pricing and negotiation-related discussions. About the Company: We are a forward-thinking tech firm with two divisions - services and products. In our products division, we are dedicated to developing innovative solutions using virtual and augmented reality, AI-ML, game development, and IoT technologies. Our services division offers a range of services including website, Android, and iOS app development, graphic design, digital marketing, business analysis, and e-commerce solutions. At our organization, we aspire to make a positive impact on the world through our futuristic vision.,

Key Responsibilities: Lead AI/ML solution development using Python, including API integration and data processing tasks. Conduct research and feasibility analysis for GenAI use cases relevant to the customers business. Review offshore deliverables to ensure adherence to best practices and quality standards before client submission. Collaborate with cross-functional teams to align technical solutions with business goals. Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders. Preferred Skills: Strong hands-on experience in Python programming. Exposure to ML Ops practices and deployment workflows. Ability to mentor junior team members and guide solution design. Excellent communication and stakeholder management skills.

The Impact you will have in this role: The Development family is responsible for crafting, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth domain expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and / or external clients in defining requirements and implementing solutions. The Software Engineering role specializes in planning, documenting technical requirements, designing, developing, and testing all software systems and applications for the firm. Works closely with architects, product managers, project management, and end-users in the development and improvement of existing software systems and applications, proposing and recommending solutions that solve complex business problems. Your Primary Responsibilities: Lead technical processes and designs considering reliability, data integrity, maintainability, reuse, extensibility, usability, and scalability. Review code of development team to ensure quality and adherence to best practices and standards. Mentor junior developers to develop their skills and build strong talent. Collaborate with Infrastructure partners to identify and deploy optimal hosting environments. Define scalability and performance criteria for assigned applications. Ensure application meets the performance, privacy, and security requirements. Verify test plans to ensure compliance with performance and security requirements. Support business and technical presentations in relation to technology platforms and business solutions. Mitigate risk by following established procedures and monitoring controls. Help develop solutions that balance cost and delivery while meeting business requirements. implement technology-specific best practices that are consistent with corporate standards. Partner with multi-functional teams to ensure the success of product strategy and project deliverables. Manage the software development process. Drive new technical and business process improvements. Estimate total costs of modules/projects covering both hours and expense. Research and evaluate specific technologies, and applications, and contributes to the solution design. Construct application Architecture encompassing end-to-end designs. Mitigates risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior. Qualifications: Minimum of 7+ years of related experience Bachelor's degree preferred or equivalent experience Talents Needed for Success: 7+ years Strong Frontend Experience - jQuery and JavaScript 7+ years of Active Development Experience/ Expertise in Java/J2EE Based Applications proven ability with Hibernate, Spring, Spring MVC Experience in Web based UI development Experience with CSS, HTML, JavaScript, and similar UI frameworks (jQuery, React) Familiarity with Microservices based architecture and distributed systems Hands on experience with AI tools such as Amazon Q is a plus Ability to develop and work with REST APIs using Spring Boot framework. Hands-on experience with AWS technologies, Snow Flake is a plus Strong database and PL/SQL skills (Oracle, Postgres preferred) Experience with Messaging, ETL or Reporting tools is a plus. Knowledge of Python a plus Familiarity with Agile development methodology Collaborate with multiple collaborators such as product management, application development, DevOps, and other technical groups.

Develop AI solutions for code completion/code review & improve functionality Design/testing of LLM features Evaluate code quality initiatives Deliver trainings on use of AI tools for code reviews Guide development teams on AI Tool Usage practices