Job TitleGen AI Consultant (1"“3 Years Experience) Experience1"“3 Years LocationBangalore Notice PeriodImmediate Joiner DomainGenerative AI, Machine Learning, NLP About The Role We are seeking a motivated and innovative Gen AI Consultant with 1"“3 years of hands-on experience to join our team This role is ideal for someone passionate about applying cutting-edge generative AI technologies to solve real-world business problems You will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions leveraging LLMs (Large Language Models), prompt engineering, and related tools. Key Responsibilities Collaborate with stakeholders to understand business needs and translate them into AI-based solutions. Develop and fine-tune prompts for large language models (e.g., GPT, Claude, Gemini). Design, prototype, and test generative AI applications (chatbots, content generation tools, copilots, etc.). Evaluate and integrate APIs and SDKs from leading Gen AI providers (OpenAI, Google, Hugging Face, etc.). Conduct research on Gen AI advancements and provide recommendations for adoption. Support model evaluation, performance tuning, and bias/ethics considerations. Document solutions, workflows, and best practices for internal and client use. Required Skills & Qualifications Bachelors degree in computer science, Data Science, AI/ML, or related field. 1"“3 years of experience working in AI/ML, with at least 1 year in generative AI applications. Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK). Solid understanding of LLMs, NLP concepts, and prompt engineering. Experience building proof-of-concepts and deploying Gen AI solutions. Familiarity with tools like Jupyter, VS Code, and cloud platforms (AWS, Azure, GCP). Strong problem-solving, communication, and analytical skills. Good To Have Experience with vector databases (e.g., Pinecone, FAISS, Weaviate). Knowledge of RAG (Retrieval-Augmented Generation) pipelines. Understanding of model fine-tuning or RLHF. Prior experience in consulting or client-facing roles. Show more Show less

AECOM is seeking a Graduate Environmental Data Specialist with 2+ years of experience to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. This position will offer a hybrid work arrangement to include both office and remote work schedules and will be based from our office located in Bengaluru, India. This role includes, but is not limited to, the following activities: Role and Responsibilities: The ideal candidate will beable to understandrequests fromenvironmental subjectmatter experts. Be a goodcommunicator able toshare new functions andfeatures with the users and have a goodunderstanding ofenvironmentaldataandenvironmentaldataterminology. Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends. Prepare and update environmental associated reports sound in understanding environmental data, transforming, and analyzing large and diversified environmental datasets. Ability to translate environmental problems through digital and data solutions. Commitment to data quality at all levels and scales. Experience indeveloping customreports and user-requested queriesand views on various platforms of the desired skill set. Responsive to client(user) requests. Excellentcommunicationskills Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts. Research state and federal regulations necessary to manage action levels or clean-up criteria. Professional qualification & Experience desired Bachelors degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data and 2+ years of experience working in the environmental domain and preferably have relevant experience with environmental data. Skills Required: Ability to understand data management using excellent computer skills to perform transformations in spreadsheets and databases. Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSofts Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS highly desirable but not essential). Assist projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports. Use of visualization tools like Power BI to help management make effective decisions for the environmental domain is desirable but not essential. Programming and/or coding experience (e.g., Python,R) a plus. Data engineering, AI/ML, and Data science understanding is highly desirable but not essential. Can be in either academic or work experience. Intermediate to the expert level understanding of Office 365, Excel, power query & Power automation. Strong attention to detail with excellent analytical, judgment and problem-solving capabilities. Comfortable running meetings and presentations Strong written and oral communication skills Preferred Requirements: Masters degree in environmental/civil/chemical engineering or science in a related discipline (or similar subject) desirable with a required focus on Environmental Data. Minimum of 2 5 years of experience working in the environmental domain and preferably have relevant experience with environmental data. Additional Information About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career youve always envisioned. Here, youll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Purpose Of Job Deep Dive across business areas to Identify AI/ML opportunities, evaluate the potential business value that can be generated and partner with AI teams to deliver the solution. Primary Responsibilities Identify areas for Growing AI across the organization and building strong connects with corresponding stakeholders Deep dive across business areas to identify AI deployment opportunities in their respective spans Evaluate art of possible benefits that can be driven by use of AI in aligned business Set up and run continuous governance with Business teams to drive AI objectives to completion Tracks and ensure that AI goals in aligned span are met Partner with AI dev teams to ensure completion of projects within stipulated time and budget Participate in re-engineering or architecture redesign discussions Support other team members to get upskilled on opportunity discovery, program management and AI Drive AI adoption across the organization Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s Degree in Computer Science Generative AI or Data Science certification 12+ years of total work experience 8+ years of extensive work experience in Technology Program Management 5+ years of program management experience 3+ years of people management experience 2+ years of experience in AIML Experience solving major project or customer issues Demonstrated experience in change management Extensive experience in working with stakeholders across leadership levels Proven excellent communication & presentation skills Preferred Qualifications Master’s of Business Administration or Program Management certification Project Management training or experience Design Thinking training or experience Storytelling training or experience Exposure to a US Healthcare account in previous role or organization At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Oversee the Analytics team, ensuring the development of analytical solutions for 30+ markets in the US Build and manage a global team of 30+ data analysts and scientists Handle team building, goal setting, development plans, and team restructuring Provide direction and oversight for the architecture, technical design, development, quality assurance, and support readiness of analytics projects Manage the planning and roadmap definition for all analytics solutions within the analytics projects Collaborate with senior leadership, stakeholders, and infrastructure teams to define technical architecture, policies, processes, and budget management Drive innovation and build strategies for technology modernization, including infra modernization and cloud adaptation Foster positive relationships with internal and external customers to ensure profitability and customer satisfaction Utilize the OKR (Objectives and Key Results) approach to define and track team goals and accomplishments Ensures that all the standard requirements have been met and is involved in performing the technical analysis Assists the project manager by compiling information from the current systems, analyzing the program requirements and ensuring that it meets the specified time requirements Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming Develop and implement analytics solutions for 31 states using structured and unstructured data stored in Snowflake Apply advanced statistics, data science methodologies, and AI practices, including generative AI skills leveraging GPT models Perform data mining, cleaning, and aggregation processes to prepare data for analysis Query and manage data in Snowflake, ensuring data quality and integrity Communicate complex data insights through storytelling with data and visualizations using Power BI Collaborate with non-technical and functional stakeholders from health plans to provide prescriptive analytics and help them find answers to data questions Lead and mentor junior data scientists, providing guidance on best practices and methodologies Ensure expertise with ML Ops for deploying and managing machine learning models in production Work in an agile environment, contributing to sprint planning, reviews, and retrospectives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 8+ years of experience in data science, with a solid background in traditional ML modeling, statistics, and data science methodologies Experience with ML Ops and deploying machine learning models in production Proficiency in Microsoft Fabric, Azure Stack, Azure ML, and Snowflake querying Expertise in AI practices, including generative AI skills leveraging GPT models Solid skills in storytelling with data and creating visualizations using Power BI Familiarity with embeddings and other advanced data science techniques Proven excellent communication and collaboration skills to work with non-technical stakeholders Ability to work in an agile environment and contribute to team success Preferred Qualifications Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience with healthcare data and knowledge of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled AIML architect who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As an AI solution architect, you will be responsible for developing AI business case, solution design and as needed prototypes. You will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities Develop and implement AI/ML strategies, vision, and guidelines in collaboration with business and IT stakeholders Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies Work on transformational AI and automation initiatives to support business priorities Research and evaluate new data sources, AI technology trends, and methodologies to enhance organizational data science capabilities and solutions Educate the team on AI technologies, best practices, and responsible use of AI Collaborate with cross-functional teams to understand business requirements and translate them into architecture solutions Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools and identify opportunities to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Utilize frameworks such as Scikit Learn, TensorFlow, PyTorch, Vertex AI, and Azure AI Studio Navigate MLRB processes in partnership with others for new AI use cases and deployments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or a related field 3+ years of experience in Data Science, AI/ML, or a similar role Experience implementing multiple machine learning techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Hands-on experience in delivering production-grade AI/ML projects Solid technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence & Machine Learning Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven sound understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Solid understanding of mathematical and statistical concepts Proven excellent problem-solving and analytical thinking skills Solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications Familiarity with the US Healthcare domain Experience in AIML R&D with demonstrable impact At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced Senior Manager, AI/ML to lead our dynamic team. The ideal candidate will have a robust development background in any programming stack, including but not limited to Java, .Net, Python, or Node.js. This role requires hands-on experience with AI/ML, preferably using cloud platforms such as AWS Bedrock, Google Vertex AI, or Azure AI. A solid understanding of Generative AI and the ability to manage multiple projects end-to-end is essential. Primary Responsibilities Leadership and Strategy: Lead and mentor a team of AI/ML engineers and data scientists Develop and implement AI/ML strategies aligned with business goals Drive innovation and stay updated with the latest industry trends and technologies Technical Expertise: Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js Oversee the design, development, and deployment of AI/ML models and solutions Ensure best practices in coding, testing, and deployment Project Management: Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality Collaborate with cross-functional teams to define project requirements and deliverables Monitor project progress and adjust plans as necessary to meet objectives Stakeholder Engagement: Communicate effectively with stakeholders to understand their needs and provide technical insights Present project updates, results, and recommendations to senior management Innovation and Research: Conduct research to identify new opportunities for AI/ML applications Encourage a culture of continuous learning and improvement within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 15+ years of experience in software development 3+ years of experience delivering solutions with a focus on AI/ML Proven experience in leading and managing technical teams Proven solid background in programming languages such as Java, .Net, Python, or Node.js Proven excellent problem-solving and analytical skills. Proven solid communication and interpersonal skills. Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven ability to possess robust data engineering skills in EDA, building and maintaining AI/ML data pipelines Proven ability to work in a fast-paced, dynamic environment Preferred Qualifications Degrees, Diploma or Certifications in the field of AI/ML Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI #Exetech At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Assesses and interprets customer needs and requirements Identifies solutions to non-standard requests and problems Solves moderately complex problems and/or conducts moderately complex analyses Works with minimal guidance; seeks guidance on only the most complex tasks Translates concepts into practice Provides explanations and information to others on difficult issues Coaches, provides feedback, and guides others Acts as a resource for others with less experience Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification Undergraduate degree or equivalent experience

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilitiy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience B.Tech with 3+ years of experience as a software engineer 3+ years of experience Proficient in any backend development such as Python, Java, .Net along with cloud experience Proven willingness to learn new things and work on modernization. Preferred AIML experience

Required Skills: Absolute clarity in Machine Learning models and Algorithms Must have hands-on experience in NumPy, Pandas, TensorFlow, and Keras, etc Knowledge of data preprocessing, feature engineering, model training, and evaluation Excellent written and verbal communication and presentation skills. Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

Position Title: AI/ML Engineer Company: Cyfuture India Pvt. Ltd. Industry: IT Services and IT Consulting Location: Sector 81, NSEZ, Noida (5 Days Work From Office) Website: www.cyfuture.com About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e.g., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise 1. Cloud Computing & Deployment Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. 2. Machine Learning & Deep Learning Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. 3. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI , Flask , or Django . Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). 4. Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing: Apache Spark, Dask, Ray . 5. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning . A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. 6. Resource Optimization Efficient use of compute resources: GPUs, TPUs, CPUs . Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. 7. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports . Udisha Parashar Senior Talent Acquisition Specialist Mob: +91- 9301895707 Email: udisha.parashar@cyfuture.com URL: www.cyfuture.com

AI agent, GenAI , Python/ GenAI Services(Someone moved from AI/ML to GenAI and Agentic AI Skills

Must understand Gen AI models o Hands on with Python with basic ML libraries o Building NLP engine (pre-processing, modelling) o Understanding of Deep Learning frameworks for NLU, NLG & MLOps o Docker containerization, building CI/CD pipeline o Hands on with GCP Data Science tool for Building, Training, Deploying Models, especially Vertex Role & responsibilities Preferred candidate profile

Roles and Responsibilities : Design and develop scalable, secure, and efficient AI solutions using Python, TensorFlow, PyTorch, and other relevant technologies. Collaborate with cross-functional teams to identify business requirements and translate them into technical designs that meet customer needs. Develop data models, algorithms, and machine learning frameworks to solve complex problems in various industries such as healthcare, finance, or retail. Ensure high-quality code by writing unit tests, integrating with DBMS systems, and implementing DevOps practices. Job Requirements : 12-18 years of experience with good expertise into architect design and development and with AIML (Artificial Intelligence Machine Learning) architecture. Strong understanding of cloud platforms like AWS/Azure/GCP for deploying AI applications. Proficiency in developing scalable databases using relational databases management systems (DBMS). Experience with deep learning frameworks like TensorFlow/PyTorch.

Role : Technical Project Manager AI Projects - Contract Duration : 3 Months Experience : 8+ Years Location : Bangalore(Hybrid) Note : This would be a contract role and immediate joiners are preferred. Please apply only if your are interested for the contractual role. Core Responsibilities Vendor Leadership • Source, evaluate, and manage AI partners (LLMs, CV, GenAI, etc.). Negotiate scope, SLAs, and milestones that map to Foundation priorities. Project Ownership • Run 2-3 concurrent AI projects with lightweight, outcomes-focused plans. Define clear deliverables, risks, and acceptance criteria; keep timelines on track. Technical Oversight • Review model choices, data pipelines, and MLOps workflows with vendors. Validate results for scalability, security, and alignment to product vision. Cross-Functional Sync • Partner with product, engineering, and data teams to lock requirements, hand-offs, and integration points. Surface trade-offs early and drive decision-making. Compliance & Ethics • Embed privacy, security, and responsible-AI checks into every sprinteven when moving fast. Stakeholder Reporting • Provide crisp weekly updates on progress, blockers, and key learnings to founders and execs. What Were Looking For 8+ years total experience in tech project delivery, consulting, or vendor management, including 2+ years leading AI/ML initiatives. Proven grasp of applied AI/ML (LLMs, computer vision, MLOps, model evaluation). Track record of steering external vendors or partners to successful outcomes. Comfort operating in ambiguityable to simplify, prioritise, and execute quickly. Solid project-management toolkit; Agile or Lean Startup exposure preferred. Exceptional communication and documentation skills for technical and non-technical audiences. Ability to independently vet technical approaches and propose improvements. .

Job Summary: We are seeking an exceptional Chief Technology Officer to join our leadership team. As a key member of our executive team, the CTO will be responsible for leading the development and implementation of our technology strategy, driving innovation, and ensuring the effective use of technology across the organization. The successful candidate will have a strong background in technology leadership, with experience in designing and leading digital strategies, process automation, and AI technologies. Key Responsibilities: 1. Technology StrategyDevelop and implement a comprehensive technology strategy that aligns with the company's business goals and objectives. 2. Digital TransformationLead the design and implementation of digital solutions to drive business growth, improve efficiency, and enhance customer experiences. 3. Process AutomationIdentify opportunities to automate business processes using new age technologies such as RPA, machine learning, and AI. 4. Project ManagementOversee the planning, execution, and delivery of technology projects, ensuring they are completed on time, within budget, and to the required quality standards. 5. Technology RoadmapDevelop and maintain a technology roadmap that outlines the company's short-term and long-term technology plans. 6. Talent DevelopmentBuild and lead a high-performing technology team, focusing on talent development, retention, and succession planning. 7. Partnerships & CollaborationsFoster partnerships with external organizations to stay ahead of the curve in terms of technology trends and innovation. 8. Budgeting & Financial PlanningDevelop and manage the technology budget, ensuring effective allocation of resources to drive business growth. Requirements: 1. EducationBachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred. 2. Experience15+ years of core tech implementation experience in leadership roles. 3. Skills: o Strong technical expertise in cloud computing, data analytics, AI/ML, and software developmento Excellent leadership and management skillso Strong communication and collaboration skillso Ability to think strategically and make data-driven decisionso Experience with project management methodologies such as Agile or Waterfall4. CertificationsCertified IT Professional (CITP) or Certified Information Systems Manager (CISM) preferred.

ROLE: The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide. In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way along our vision of human-centered technology. You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working in close cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter. You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g. On-parametric knowledge retrieval and tool access, testing, etc. You will build products/services based on both cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers. You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others. You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry. Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded. SKILLS AND QUALIFICATIONS Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 8+ years of experience in Data Science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter Ideally extensive experience in building scaling products based on Generative AI technologies Solid experience in software development, open source programming languages Strong knowledge of cloud technologies like AWS, Azure etc. Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders Extensive and long term experience inmulti-cultural environments Excellent communication skills in leading AI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management Strong community engagement in opensource is highly appreciated Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation. Results Driven -confident, thrives on hard work and consistent challenge, and is quick on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques) Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts Fluency in English is a must. Technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome

AI Project Manager is a senior project management role focused on leading the development and implementation of AI/GenAI projects. The ideal candidate will have a strong understanding of AI/GenAI technologies, experience managing complex projects in a technical environment, and the ability to lead and motivate cross-functional teams. You Have: Bachelor's or Master's degree in Computer Science with overall experience of 10-15 years and working as a Project Manager, preferably in AI/ML or technology platforms. Strong understanding of GenAI technologies and development processes. Experience with Agile methodologies and product management tools. Leadership experience in a technical project management role. Excellent problem-solving, organizational, and analytical skills. It would be nice if you also had: Experience in managing AI/ML platforms or tools. Familiarity with software development and data science workflows. Ability to translate complex technical concepts into clear, actionable plans. Define project scope, objectives, and deliverables in collaboration with stakeholders. Develop detailed project plans, including timelines, milestones, and resource allocation. Monitor project progress and make adjustments as necessary to ensure successful completion. Act as the primary point of contact for project stakeholders. Communicate project status, risks, and issues to stakeholders in a timely manner. Manage stakeholder expectations and ensure alignment with project objectives. Prepare and present project reports to stakeholders and senior management. Responsible for defining project scope, managing timelines and budgets, ensuring quality deliverables, and communicating effectively with stakeholders.

As a Consultant in Automation domain, you will be responsible for delivering automation use cases enabled by AI and Cloud technologies. In this role, you play a crucial part in building the next-generation autonomous networks. You will develop efficient and scalable automation solutions, you will leverage your technical expertise, problem-solving abilities, and domain knowledge to drive innovation and efficiency. You have: Bachelor's degree in Computer Science, Engineering, or a related field preferred, with 8-10+ years of experience in automation or telecommunications. Understanding of telecom network architecture, including Core networks, OSS, and BSS ecosystems, along with industry frameworks like TM Forum Open APIs and eTOM. Practical experience in programming and scripting languages such as Python, Go, Java, or Bash, and automation tools like Terraform, Ansible, and Helm. Hands-on experience with CI/CD pipelines using Jenkins, GitLab CI, or ArgoCD, as well as containerization (Docker) and orchestration (Kubernetes, OpenShift). It would be nice if you also had: Exposure to agile development methodologies and cross-functional collaboration. Experience with real-time monitoring tools (Prometheus, ELK Stack, OpenTelemetry, Grafana) and AI/ML for predictive automation and network optimization is a plus. Familiarity with GitOps methodologies and automation best practices for telecom environments. Design, develop, test, and deploy automation scripts using languages such as Python, Go, Bash, or YAML. Automate the provisioning, configuration, and lifecycle management of network and cloud infrastructure. Design and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, or Tekton. Automate continuous integration, testing, deployment, and rollback mechanisms for cloud-native services. Implement real-time monitoring, logging, and tracing using tools such as Prometheus, Grafana, ELK, and OpenTelemetry. Develop AI/ML-driven observability solutions for predictive analytics and proactive fault resolution, integrating AI/ML models to enable predictive scaling. Automate self-healing mechanisms to remediate network and application failures. Collaborate with DevOps and Network Engineers to align automation with business goals.

Certified AWS Consultant with hands-on experience in AI platform development projects Experience in setting up, maintaining, and developing cloud infrastructure Proficiency with Infrastructure as Code tools such as CloudFormation and/or Terraform Strong knowledge of AWS services including SageMaker , S3 , EC2 , etc. In-depth proficiency in at least one high-level programming language ( Python , Java , etc.) Good understanding of data analytics use cases and AI/ML technologies Primary Skills SageMaker,S3, EC2 CloudFormation / Terraform Java/Python AI/ML

Databuzz is Hiring for Data Scientist(Python and Notebooks)-6+yrs-(Mumbai)-Hybrid Please mail your profile to haritha.jaddu@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) Position: Data Scientist(Python and Notebooks) Location: Mumbai Exp -6+ yrs Mandatory skills : Candidate should have 3-7 years of experience in data science or related field Proficiency in Python and Jupyter Notebooks Familiarity with Teradata and data lake house concepts Basic understanding of machine learning algorithms and statistical modeling Familiarity with on premise AIML solutions Basic understanding of Explainable AI concepts and techniques Regards, Haritha Talent Acquisition specialist haritha.jaddu@databuzzltd.com

Greetings!!! Position: Sr. Gen AI Technical Architect Budget: Open Type: FTE/Lateral Location: Pune, Bangalore, Hyderabad(Ind) Experience: 10 - 12 Yrs. SKILLS Python Java C++ ai/ml Gen ai Architect

Job Description: Designs and implements AI architectures based on client needs Strategically utilizes the in-house data center as a platform for customer AI workloads Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures Makes strategic choices in AI tools and technologies with a focus on open source and scalability Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management Contributes to AI governance, reliability, and solution scalability Keeps up with the latest developments in AI, hardware acceleration, and infrastructure Assists clients in leveraging AI at an enterprise level Requirements: At least 10 years of experience as an AI Architect or in a comparable technical AI role Experience developing AI solutions for clients in an enterprise environment Experience working in an international context with cross-functional teams Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc. Familiarity with containers and orchestration tools like Docker and Kubernetes Understanding of data governance, security, and compliance in AI projects Strong communication skills and a client-oriented mindset Excellent command of the English language, both spoken and written

Your role as a Technical Program Manager is to help our clients across geographies & verticals deliver their strategic priorities.. The ideal candidate will have a strong background in project and product management, exceptional leadership and communication skills, and a proven track record of driving successful outcomes in a fast-paced environment.. Typical work week looks like:-. Achieving excellence in client experience with focus on digital initiatives, CRM, client onboarding and suitability.. Supporting transformational change including business change initiatives, post merger integration PMO.. At client projects your responsibilities can typically include but is not limited to. Strategy, business case and target operating model definition. Business analysis and business process re engineering based on industry best practices and our accelerators. Project management. Risk management. Change management. Organization design and development. Our ideal candidate should have:-. A combination of Btech (computer science, IT, any other related field) + MBA (Business Management, Project Management, Statistics or any other related field). A Techie turned into a Program / Product Manager.. 5+ years of experience managing AI/ML-based B2B products with a background in technical program management or engineering preferably in a fast-paced environment.. 2+ Years of experience in leadership/team management, with the ability to effectively collaborate with cross-functional teams.. Experience within a management consulting company would be a plus.. Proven track record in successfully managing complex projects from initiation to completion.. Exceptional leadership and team management skills, inspiring and guiding cross-functional teams to excel.. Excellent communication skills with structured thinking & clear logical thought processes. Strong Client Management skills which include expectation management, project scoping, and sequencing assistance, and is the internal voice of the client within ORI and vice versa.. Strong problem-solving and decision-making abilities, focused on delivering top-notch results.. The ability to present ideas and cross-sell/upsell offerings to clients in a convincing manner and the ability to present to internal teams the client requirements, expectations, reviews, and next steps.. What you can expect from ORI:-. Passion & happiness in the workplace with great people & open culture with amazing growth opportunities.. An ecosystem where leadership is fostered builds an environment where everyone is free to take necessary actions to learn from real experiences.. Chance to work on the cutting edge of technology.. Freedom to pursue your ideas and innovate with multiple technologies. Join our dynamic team and be part of driving success and leading projects that make a real impact!. Apply your exceptional project management expertise and leadership skills to deliver remarkable. outcomes for our organization..

Job Title: Technical Program Manager Data Engineering & Analytics Experience : 16 - 25 Years ( Relevant Years ) Salary : Based on Current CTC Location : Chennai and Hyderabad Notice Period : Immediate Joiners Only. Position Overview: We are seeking an experienced Program Manager to lead large-scale, complex Data, BI, and AI/ML initiatives. The ideal candidate will have a deep technical understanding of modern data architectures, hands-on expertise in end-to-end solution delivery, and a proven ability to manage client relationships and multi-functional teams. This role will involve driving innovation, operational excellence, and strategic growth within Data Engineering & Analytics programs. Job Description: Responsible to manage large and complex programs encompassing multiple Data, BI and AI/ML solutions Lead the design, development, and implementation of Data Engineering & Analytics solution involving Teradata, Google Cloud Data Platform (GCP) platform, AI/ML, Qlik, Tableau etc. Work closely with clients in understanding their needs and translating them to technology solutions Provide technical leadership to solve complex business issues that translate into data analytics solutions Prepare operational/strategic reports based on defined cadences and present to steering & operational committees via WSR, MSR etc Responsible for ensuring compliance with defined service level agreements(SLA) and Key performance indicators(KPI) metrics Track and monitor the performance of services, identify areas for improvement, implement changes as needed Continuously evaluate and improve processes to ensure that services are delivered efficiently and effectively Proactive identification of issues and risks, prepare appropriate mitigation/resolution plans Foster positive work environment and build culture of automation & innovation to improve service delivery performance Developing team as coach, mentor, support, and manage team members Creating SOW, Proposals, Solution, Estimation for Data Analytics Solutions Contribute in building Data Analytics, AI/ML practice by creating case studies, POC etc Shaping opportunities and create execution approaches throughout the lifecycle of client engagements Colloborate with various functions/teams in the organization to support recruitment, hiring, onboarding and other operational activities Maintain positive relationship with all stakeholders and ensure proactive response to opportunities and challenges. Must Have Skills : Deep hands-on expertise in E2E solution life cycle management in Data Engineering and Data Management. Strong technical understanding of modern data architecture and solutions Ability to execute strategy for implementations through a roadmap and collaboration with different stakeholders Understanding of Cloud data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT Would be good to have experience in driving AI/ML, GenAI projects Experience with cloud-based data analytic platforms such as GCP, Snowflake, Azure etc Good understanding of SDLC and Agile methodologies Would be good to have a Telecom background. Must gave handled team size of 50+ Qualification: 15-20 yrs experience primarily working on Data Warehousing, BI& Analytics, Data management projects as Tech Architect, delivery, client relationship and practice roles - involving ETL, reporting, big data and analytics. Experience architecting, designing & developing Data Engineering, Business Intelligence and reporting projects Experience on working with data management solutions like Data Quality, Metadata, Master Data, Governance. Strong experience in Cloud Data migration programs Focused on value, innovation and automation led account mining Strong Interpersonal, stakeholder management and team building skills

Role & responsibilities AI/ML Development: Build and optimize models using TensorFlow, PyTorch for tasks across text, image, voice, and video. Agentic AI: Create autonomous agents using ReAct, AutoGPT, and LangChain with task orchestration and governance. Multimodal Analytics: Apply deep learning for insights from images, video, voice, and text using CNNs and NLP. Cloud Deployment: Use AWS, Azure, and tools like SageMaker for scalable model deployment and integration. Collaboration & Innovation: Partner with teams, track performance, document work, and adopt latest AI/ML practices. Preferred candidate profile Experience:7-9 years in AI/ML with hands-on work in deep learning, LLMs, Generative AI, and deploying models to production. Technical Skills: Proficient in Python, ML frameworks (TensorFlow, PyTorch), and various learning techniques (supervised to reinforcement). Agentic AI & NLP: Skilled in Lang Chain, AutoGen, ReAct, RAG pipelines, prompt engineering, and API/tool integration. Cloud & Deployment: Experience with AWS, Azure, Docker, Kubernetes, and secure, scalable AI deployments. Education & Soft Skills: Strong analytical and communication skills; degree in CS, Engineering, Math, or related field.