1265 Aiml Jobs - Page 47

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

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.

Key Responsibilities: Design and develop machine learning and deep learning models for tasks such as text classification , entity recognition , sentiment analysis , and document intelligence . Build and optimize NLP pipelines using models like BERT , GPT , LayoutLM , and Transformer architectures . Implement and experiment with Generative AI techniques using frameworks like Hugging Face , OpenAI APIs , and PyTorch/TensorFlow . Perform data collection, web scraping , data cleaning , and feature engineering for structured and unstructured data sources. Deploy ML models using Docker , Kubernetes , and implement CI/CD pipelines for scalable and automated workflows. Use cloud services (e.g., GCP , Azure AI ) for model hosting, data storage, and compute resources. Collaborate with cross-functional teams to integrate ML models into production-grade applications. Apply MLOps practices including model versioning, monitoring, retraining pipelines, and reproducibility. Technical Skills: Languages & Libraries: Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Seaborn, XGBoost, NLTK, Hugging Face, BeautifulSoup, Selenium, Scrapy Modeling & NLP: Logistic Regression, Random Forest, SVM, CNN, RNN, Transformers, BERT, GPT, LLMs Tools & Platforms: Git, Docker, Kubernetes, CI/CD, Azure AI Services, GCP, Vertex AI Concepts: Machine Learning, Deep Learning, MLOps, Generative AI, Text Analytics, Predictive Analytics Databases & Querying: Basics of SQL Other Skills: Data Visualization (Matplotlib, Seaborn), Model Optimization, Version Control

Lead full-stack development using React, Node.js, Python, AWS, Docker & AI. Manage E2E delivery, mentor teams, design cloud infrastructure, and ensure scalable, high-quality code in a remote agile environment. Provident fund

Online / WALK-IN for Assistant Professor/Associate Professor (ECE/ISE/CSE/AIML/DS/IT) Asst/Asso Prof(eligibility: Mtech/ME and above) Lab Instructor(eligibility: Btech) Interview Date: 17th May - 31st May 2025 Contact/ Share Resume to : 8431768099 Role & responsibilities: 1. Teaching: Deliver lectures and lead classroom discussions. Develop and update course syllabi and materials. Evaluate and assess student performance through assignments, exams, and projects. Provide academic advising and mentorship to students 2. Research: Conduct independent and collaborative research. Publish research findings in peer-reviewed journals and present at academic conferences. Secure research funding and grants. 3. Service: Participate in departmental, college, and university committees. Contribute to curriculum development and program improvement. Engage in community service and outreach activities. 4. Professional Development: Stay updated with advancements in the field. Participate in workshops, seminars, and conferences to enhance teaching and research skills. 5. Other Responsibilities: Maintain office hours for student consultations. Collaborate with colleagues on interdisciplinary projects. Uphold academic integrity and institutional values. Preferred candidate profile: A Ph.D. or M.tech or equivalent terminal degree in the relevant field. Proven teaching experience at the undergraduate or graduate level. Strong record of scholarly research or potential for research excellence. Excellent communication, interpersonal, and organizational skills. Experience with curriculum development and instructional innovation. Ability to mentor students and foster their academic and professional growth. Collaborative and collegial approach to teamwork.

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines using pgvector, neo4j, ensuring efficient and secure data practices. Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. Familiarity and experience with different agentic frameworks and technique like Langgraph, AutoGen, CrewAI, tool using techniques like MCP (Model Context Protocol). Use Azure & AWS cloud platforms in implementation to stay relevant to company AI guidelines requirements. Usage of OpenAPI standards, API first approach to develop APIs for communication between different software components. Collaborate with the team members to integrate various GenAI capabilities into the applications, including but not limited to RAG. Write clean, maintainable, and efficient code that adheres to company standards. Conduct testing to identify and fix bugs or vulnerabilities. Use collaboration and versioning tools such as GitHub for effective team working and code management. Stay updated with emerging technologies and apply them into operations and activities. Show a strong desire for continuous learning and the ability to quickly adapt and implement new technologies. Bachelor's degree in Computer Science, Information Technology, or a related field with 6+ years of working experience. Proven experience as a Full Stack Developer or similar role in designing, developing and deploying end to end applications. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery). Experience with Angular and NDBX frameworks. Good experience with database technology such as Postgres DB, vector databases. Experience developing APIs following the OpenAPI standards. Understanding & experience in various generative AI models on cloud platforms such as Azure/ AWS, including Retrieval Augmented Generation, Prompt engineering, Agentic RAG, Agentic frameworks, Model context protocols etc. Experience with collaboration and versioning tools such as GitHub Experience with docker images, containers to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Functional Demonstrated responsiveness and accuracy Strong collaboration and teamwork skills Behaviours Take Ownership & Accountability Assertiveness & Persuasiveness Great attention to detail and problem-solving skills. Self-motivated with a keen interest in learning and implementing new technologies.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

5+ years of strong hands-on experience in Python programming 2+ years of experience working with AI tools and technologies Successfully delivered 2–3 AI implementation projects or use cases