21 Ai Ml Jobs

You are urgently required as a freelance technical trainer in Mathura to teach technologies such as AI, ML, cloud computing, and cyber security. The training sessions are scheduled from 14th to 18th October for college students. Additionally, there is another project in Mathura covering the same subjects with different dates scheduled from 21st to 25th October. As a freelance technical trainer, you will be responsible for conducting training sessions during the day shift for a total contract length of 10 days. It is preferred that you have at least 1 year of total work experience in this field. Travel, food, and accommodation will be provided for the duration of the training. For any queries or to apply for this opportunity, please contact Shivani at 9821547266, who represents Lavs Services based in Delhi. This is a great opportunity for individuals who are passionate about sharing their knowledge and expertise in the field of technology with college students in Mathura.,

As a seasoned leader in the field of Data, AI, and Automation, you will be responsible for packaging business solutions with clear ROI and effectively communicating the benefits to customers. You will play a crucial role in managing the P&L of the practice, leading a team of Architects, Technical Leads, and Engineers, and ensuring the smooth functioning of the entire team. Your ability to create and nurture a high-performing engineering team will be paramount, as you define and execute the organization's vision to be a leader in the Data, AI, and Automation space. You will set KPIs and objectives for the team that align with the organizational goals, and oversee the efficient allocation of personnel across various engagements. In this role, you will be required to design, architect, and implement cutting-edge Data & AI ML solutions and architectures, while adhering to best practices and principles. Your expertise will be utilized to lead initiatives, provide technical guidance, and drive business development in the realm of Data Science, AI, and ML. Additionally, you will be expected to stay abreast of emerging trends and best practices in Data AI and Automation, and leverage your expertise to lead and grow a superior organization of technical talent. Collaborating with peer engineering teams, you will gather technical requirements to shape Data, AI, and Automation technology roadmaps. Your responsibilities will also include enabling sales strategies with Data & AI solutions, representing the company in industry events, nurturing alliances and partnerships, and developing practice branding artifacts that showcase thought leadership. **Mandatory Qualifications:** - Possess over 15 years of experience in working on highly distributed and scalable enterprise applications - Demonstrate a deep understanding of Data warehouses, Big Data, AI ML, and Automation technologies with over 10 years of experience - Knowledge in Generative AI is desirable - Hands-on experience in developing and implementing machine learning algorithms, utilizing relevant programming languages and big data tools - Proficiency in evaluating and selecting algorithms and tools for projects - Extensive experience in advanced ML techniques such as neural networks, deep learning, and reinforcement learning - Familiarity with open-source technologies, ML libraries, and programming languages - Strong understanding of cloud platforms and their services for implementing Big Data and AI ML solutions - Appreciation of CI/CD processes and tools, guiding the team in decision-making related to CI/CD strategies - Experience with Agile development management tools and API/Microservices architecture-based systems development - Excellent communication, leadership, and interpersonal skills - Strong solutioning and presentation skills - Previous experience in Presales and Enterprise systems integration - Ability to envision and develop innovative solutions and accelerators,

Looking for Immediate to 15Days of Notice Period and Serving Notice period candidates only Location: Bangalore, Mumbai Role: Contract Role Primary Responsibilities: • Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). • Possess end-to-end knowledge of VLLM model hosting and inferencing. • Advanced knowledge of public cloud platforms such as AWS and Azure. • Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. • Experience in production support and real-time issue handling. • Design dashboards and visualizations to provide operational insights to stakeholders. • Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc. • 1 to 2 years of experience with Jenkins and GoCD to make build/deploy pipelines. • Hands-on experience with open-source and self-hosted model APIs using SDKs. • Drive data-driven decisions by analyzing operational data and generating reports on system health, performance, and availability. • Basic knowledge of kserve and rayserve inferencing . • Good knowledge of high level scaling using Karpenter , Keda , System based vertical/horizontal scaling. • Strong knowledge on linux operating system or linux certified . • Previous experience with Helm chart deployments and Terraform template and module creation is highly recommended. Secondary Responsibilities: • Proven experience in AIOps and DevOps, with a strong background in cloud technologies (AWS, Azure, Google Cloud). • Proficiency in tools such as Kubeflow, Kserve, ONNX, and containerization technologies (Docker, Kubernetes). • Experience with enterprise-level infrastructure, including tools like terraform, helm, and On-Prem servers hosting. • Previous experience in fintech or AI based tech companies are highly desirable. • Demonstrates the ability to manage workloads effectively in a production environment. • Possesses excellent communication and collaboration skills, with a strong focus on cross-functional teamwork.

You are urgently required to join as a freelance technical trainer in Mathura for teaching various technologies such as AI, ML, cloud computing, and cyber security to college students. The training sessions are scheduled from 14th to 18th October. Additionally, there is another project in Mathura covering the same subjects with dates from 21st to 25th October. As a freelance technical trainer, you will be responsible for conducting training sessions during the day shift. The contract length for this position is 10 days. Previous work experience of at least 1 year in the relevant field is preferred. Travel arrangements, food, and accommodation will be provided for the duration of the training program. For further details and to apply for the position, please contact Shivani at Lavs Services in Delhi at 9821547266. This is a great opportunity for individuals with a passion for teaching and sharing knowledge in the field of technology to make a positive impact on college students in Mathura.,

Hello everyone, Optum is hiring for Python with AI ML experience at Noida. Primary Skills: Python, AI ML (Artificial Intelligence), GCP/Azure/AWS, Docker, Kubernetes, NLP, GenAI NOTE: Only Premier Institute candidates can apply. Required Qualifications: Graduation 1+ years of experience in Python 1+ years of experience in AI ML Cloud Platforms: Hands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and Orchestration: Experience with Docker and Kubernetes Database Expertise: Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI Tools: Familiarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI Expertise: Solid understanding of classical ML, deep learning, and Generative AI technologies Programming Languages: Proficiency in Python and experience with FastAPI (asynchronous implementation) Logging Tools: Proficiency in Splunk for logging and diagnostics Performance Optimization: Proven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization Interested can share their updated resume at arshad_mohammad@optum.com . Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

Position: AI ML GENAI Architect Experience: 9+ Years Location: Pune/ Kolkata / Indore Work Mode: Hybrid (3 Days WFO / 2 Days WFH) Position Overview: We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Mandatory Skills: GENAI, Generative AI, LLM, LangChain, LlamaIndex, TensorFlow, Prompt Engineering. Required Skills: Technical Expertise. Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills: 1. Strong communication skills with the ability to present technical solutions to business leaders. 2. Proven ability to collaborate cross-functionally with technical and non-technical teams. 3. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs. Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales. Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need. Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal.

Job Summary: We are looking for an experienced AI/ML Engineer with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate will play a critical role in building and deploying intelligent systems using cutting-edge AI frameworks and platforms, including Google Agentspace. Key Responsibilities: Design, develop, and deploy advanced ML and GenAI models tailored to business requirements. Work with Large Language Models (LLMs) to build NLP/NLU/NLG solutions. Develop, fine-tune, and optimize AI/ML algorithms for production-grade applications. Collaborate with cross-functional teams (Data Scientists, Data Engineers, Product Owners) to integrate AI models into real-world applications. Utilize Google Agentspace and other cloud-native tools for building scalable AI workflows. Stay updated with emerging AI/ML technologies and apply them where relevant. Ensure data privacy, model accuracy, explainability, and performance compliance. Must-Have Skills: Strong hands-on experience with AI/ML and Generative AI techniques . Proficiency in Python and key ML/AI libraries such as TensorFlow, PyTorch, scikit-learn. Expertise in LLM (Large Language Models) such as GPT, PaLM, BERT, etc. Experience working with Google Agentspace or similar platforms for AI deployment. Solid understanding of data pipelines, feature engineering, and model evaluation. Excellent problem-solving and analytical skills.

Role: Lead IT Projects [VP/ CTO] Experience: 15-25 Years Job Location: Gurugram HR Industry: IT [Product Development Experience desired] Brief Job Role: You will be spearheading the IT Software Solutions, Services and in Support System for our Clients Success and be the engine of the Development and R&D Teams . You will be juggling between product escalations from the leads of the various teams, while maintaining well-groomed product backlogs, product roadmaps and product vision documents, sprint plans and priorities and bringing the R&D Team up to speed on what needs to be developed and in what time frame through joint ideation. Key Job Role & Accountabilities 1. Facilitate conversations between Business stakeholders, Quality assurance / testing teams, and software developers in an incremental, iterative fast-paced product development environment and reducing the reliance on extensive documentation and reducing the length of the feedback loop in product development projects 2. Responsible for developing business requirements and related business rules based on Business Group or client needs 3. Work closely with development team (Project manager and developers) in the definition, testing, training, implementation, and support of functional requirements 4. Identify requirements via industry standard analysis techniques such as data flow modeling, workflow analysis, and functional decomposition analysis 5. Solicit requirements through interviews, workshops, and/or existing systems documentation or procedures 6. Author detailed product requirement specifications for engineering team in an agile development environment 7. Articulate requirements clearly in user stories and wireframe design 8. Participate in daily stand up and clarify requirements for engineering team Key Accountabilities: A. Team Leadership: Lead team of Architects, Leads, Developers & Testers. D efine team member roles, expectations & growth plan Assign and monitor work of team members and provide timely guidance and feedback. Communicate with and influence internal and external stakeholders regarding key project objectives and steps and to ensure buy-in. Escalate issues to others with more experience and/or authority when necessary B. Project Management & Project Planning: Determine the project approach, roles, responsibilities, and schedule in collaboration with the Product Strategy & Direction Team Create and execute delivery plans for successful, timely product releases . Closely monitor projects from initiation through delivery for continuous improvement. Develop and manage project governance including client / sponsor meetings, project team meetings, status reports, etc. Manage scope and scope change requests in collaboration with client Plan and track schedules and budgets. Identify and develop contingency plans to mitigate and address risks; Implement change management activities when necessary. Project communications - Ensure that all milestones, dates, project plans, and changes are communicated to all affected team members. C. Analysis: Interpret the meaning and implications of business requirements data and reports to achieve project goals Analyze, interpret, and derive meaning from data on projects and base initiatives using SQL, Excel, Access, etc. Participate in the requirements gathering process. Analyze current processes and recommend/implement process improvements. D. Manage Relationships: Manage relationships with internal / external stakeholders Manage Satisfaction scores for the project Coordinate work between different teams at different locations. Negotiate with stakeholders and sponsors to set expectations and build consensus around project objectives. Key Technical & Functional Skills Shall have 12-16 years of experience Bachelors degree in Computer Science + MBA - not required, but good to have Prior experience working with US, UK, EU clients Proven track record of Launching Products and management of Product Life cycle Proven track record of Customer Obsession Strong analytical problem-solving experience Proven ability to make smart feature (customer experience) versus time-to-market trade-offs Extremely results and detail-oriented Proficiency in Microsoft programs such as Excel, Word, PowerPoint and Project Management tools required Familiarity with digital collaboration tools Familiar with web-based systems and tools, database management tools, software applications and new age mobile applications in order to help drive digital product development. Familiar with digital product development Product management experience with CRMs would be a plus

SN Required Information Details 1 Role Lead - HRO Transformation 2 Required Technical Skill Set Solution mind set, Problem solver, good understanding of technology, strong project management skills Location of Requirement Mumbai Desired Competencies (Technical/Behavioral Competency) Must-Have Minimum 15+ years of experience in HRO Outsourcing industry of which at least 8+ years in managing large HR Transformation initiatives. • End-to-End conceptualization and delivery of all HRO Transformation solutions for clients encompassing formulation and deployment of Digital Assets and Analytics solutions and Creating / proposing a transformation road map for existing clients /processes. • Lead the customer engagement, design and change process with customers that meet and exceed their business requirements and enable the successful build and implementation of Digital solutions • Digital Initiatives across following primary impact areas; Infusion of Digital Technologies within Multiple domains to differentiate processing capabilities (Customer Experience) from Contact to Contract to Renewal - delivering business outcomes • Experience with major HR technology platforms (Workday, SuccessFactors, Service Now HRSD, etc.), Gen AI / AI ML led platform solutions, Automation RPA / Chatbot led platform solutions across Hire to Retire process • Partner with IT to evaluate, select, and implement HR technology solutions • Manage complex, multi-workstream transformation programs from conception through implementation. • Drive project planning, resource allocation, risk management, and benefits realization • Lead systems integration efforts to create seamless HR service delivery Addon Requirements • Demonstrated proactive, positive conflict resolution skills. • Excellent analytical and problem-solving skills • Excellent communicator at all levels • Intellectual curiosity, appetite to do things better and proactive nature. • Operating model design, Value chain mapping and business process reengineering, end-customer experiences, new technologies, intelligent automation and robotics, data and analytics, platform business models, straight through operations processes, AI and ML, and other traditional and digitally related transformation activities which deliver significant improvements to business efficiency and effectiveness. Good-to-Have 1. MBA HR qualification/Relevant HR Qualification 2. PMP Certifications/ Certifications in RPA/AI/ML DOMAIN 3. Lean Six Sigma Certification 4. Agile methodology

We are seeking a AI Product Manager to take ownership of defining, building, and scaling our core products. In this role, you will act as the bridge between technical teams (engineering, AI/ML) and business stakeholders.

Java Technical Lead Python Reactjs Node Js AI MLExperience in

Hi all, We are hiring for the role Data Scientist AI ML Experience: 6 -9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role: Solution Architect (AI/ML Specialization) Full time Professional About Onix : Onix is a Google Cloud Premier Partner serving over 1,400 customers, including several of the world's largest corporations, enabling them to effectively leverage Google Cloud Platform across industries and use cases. Onix specialises in Google Cloud Solutions such as generative AI, workload migrations, data & analytics, data infrastructure and visualisation, infrastructure services, application modernisation, collaboration & productivity, and location-based services. Onix is a 12-time Google Partner of the Year award winner and a Google Cloud Managed Services Partner. Summary: We are seeking a skilled and customer-focused AI/ML Solution Architect to join Onixs Solution Engineering team. This role blends deep technical expertise with presales acumen to architect, evangelise, and deliver cutting-edge AI and ML solutions on GCP and multi-cloud platforms. You will engage directly with clients in high-impact discussions, guiding them through the art of the possible with generative AI, MLOps, and cloud-native tools. As a key technical advisor, you will participate in strategic discovery sessions, lead solution ideation and architecture reviews , and collaborate closely with clients, sales, and engineering teams to shape transformational AI/ML initiatives. Your insights will help drive client success, showcase technical feasibility , and demonstrate business value through proofs of concept and impactful solution designs. Key Responsibilities: Partner with sales and customer engineering teams in presales engagements to identify AI/ML opportunities and craft tailored solution architectures. Design scalable, cloud-native AI/ML solutions primarily on Google Cloud Platform (GCP) leveraging tools like Vertex AI, LangChain, OpenAI APIs, and MLOps frameworks . Lead technical workshops, client demos, and architecture sessions to articulate value, drive alignment, and win stakeholder confidence. Review solution proposals across teams to ensure architectural integrity, scalability, and adherence to best practices . Stay ahead of the curve by assessing emerging GenAI tools and frameworks to validate new ideas and accelerate innovation . Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field; Master’s degree preferred. Extensive hands-on experience with cloud platforms , especially GCP (AWS and Azure exposure is a plus). Strong understanding of AI/ML tools and systems , including TensorFlow, PyTorch, Vertex AI, OpenAI, LangChain , and MLOps pipelines . 4–5 years of experience in data science, software development, or machine learning , with proficiency in languages like Python, Java, or JavaScript. Proven experience applying ML technologies to real-world industry use cases , with a solid grasp of data lifecycle and cloud deployment strategies. Exceptional client-facing communication and solution storytelling skills , with a track record in technical presales or consulting roles .

Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Role Summary: We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: AI Application Development: Build and maintain Python-based AI services using LangChain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation. Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone LLMs & APIs: OpenAI, LangChain, CrewAI Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: Experience with AI/ML, LLM integrations, and enterprise cloud solutions. Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. Strong knowledge of scalable AI architectures and security best practices. Notice Period - immediate to 45 days

Role & responsibilities Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and best practices. Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Ensure that AI/ML systems comply with security standards and regulatory requirements. Implement best practices for data privacy and protection. Preferred candidate profile Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. Total 10-15 years of industry experience More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Job Description: Head of Center of Excellence for Artificial Intelligence At Jiobp, we believe Digital solutions and platforms are at the core of our customer experience, operational reliability, competitive differentiation and growth. At the core of our Digital strategy is setting up a Center of Excellence (CoE) for Artificial Intelligence. We are seeking an experienced Head of Center of Excellence (CoE) for Artificial Intelligence at Jiobp. The AI CoE Head will be expected to set up a CoE from scratch , including creating a vision , roadmap for AI adoption at scale, hiring required talent , mobilize the right technology platforms, drive identification of AI use cases , develop & deploy AI models and drive competency development of AI at scale within Jiobp. Additionally, he is expected to develop a network of partners in this space and drive innovation at scale by collaborating with other teams both within and outside the company. Experience: Around 14 + Years of experience of which last 7 -10 years have been in AI and Analytics Should have done AI Vision and Roadmap for a client or a company, Program management, Stakeholder management, Value realization. Most likely should have been a Data Scientist at some point of his/her career. Must have worked in executing AI use cases end to end including understanding of Business case, Architecture, Data Engineering, AI Model development, model, refinement and value realization. Should understand the various roles that are needed to run an AI CoE. Good to have consulting experience from BIG 4 or any other Tier 1 company in the related field. Strong Retail/ Consumer industry driven business knowledge and also AI use cases in this domain will be an advantage. Key Responsibilities: Set up the AI CoE including building the team from scratch, set up processes and methods for executing AI Use cases. Work with the CDO and advise him on emerging trends by exploring research papers, working with start-ups, develop key partnerships and applying cutting-edge technologies to create innovative solutions. Work with the CDO and create a compelling vision and multiyear AI Roadmap for Jiobp. Ensure use cases are identified in consultation with business, play a key role by educating the business on new possibilities using AI. Overall manage the AI Agenda for Jiobp to develop, enhance, and implement algorithms and models to address complex business challenges. Collaborate closely with project teams, customer stakeholders, and internal business units to devise creative analytical approaches for solving both technical and business challenges. Guide the team on complex use cases and solutions. Ensure clear and effective communication by producing high-quality documentation and presentations. Required Skills and Qualifications: Strong proficiency in deep learning techniques, neural networks, and machine learning algorithms. Good understanding of Image and Video Analytics, conversational AI and Generative AI. Experience in applying deep learning to structured and unstructured data for solving real-world challenges. Expertise in deploying and optimizing machine learning and deep learning models in production environments. Excellent written and verbal communication skills for technical documentation, reports, and client presentations. Educational background B Tech/ MCA B Tech + M Tech M.Stat/B.Stat M.Sc Mathematics / M. Sc Physics

Mandatory Skills Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have skills - Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Role & responsibilities We are looking for Data Scientist position with US MNC company for permanent role, Remote. Preferred candidate profile Mandatory Skills : 5 Years + relevant experience in data science. Experience in RAG implementation pipeline. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience in the Financial Services Industry and an understanding of compliance standards. (Preferred) Experience with Master data management, Data Wrangling and ETL Processes. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Certification in Data Science or AI/ML.

Hiring for No-1 IT MNC for HRO Transformation for Mumbai Salary Up-to -65LPA Min -15 + Yrs Of exp in HRO Outsourcing Industry with at least 8+yrs in managing large HR Transformation & HR technology platforms Exp. Call@WhatsApp- Kajal - 8595849767

Should be comfortable Traveling USA and other Client locations and Stay for 3-4 months in a year. This is a key Technology leadership role envisioned to be a Chief Technology Architect leveraging our Key Strategic Priorities. This person will Leverage technical expertise, business acumen and fluid communication skills to translate the possible into reality. The candidate will be able to design solutions that span multiple platforms and include integration and authentication across systems, articulate design considerations, trade-offs, benefits, and recommendations. The potential candidate should have the ability to drive global client meetings across multiple technology stacks, manage the architecture solution implementation, and build trusted relationship with clients. Responsible for setting up and scaling ACIs Technology and Domain Centers of Excellence to expand our practices and deliver tangible value to our global clients Specific Responsibilities include: Execute technology vision aligned to the Organization roadmap for exponential growth Influence, enable, and scale our delivery roles and teams across to ensure consistent and high-quality delivery. Look for opportunities to scale efficiencies and new ways of working across multiple projects and environments. Engage customer organizations at the C-level, helping clients drive enterprise-wide agenda across multiple technology stacks Track and control the developments for annual operating and capital budgets for purchasing, staffing, and technology operations. Lead efforts to bring continuity to our Salesforce and SAP engagement management and delivery methodology to all practitioners globally. Engage directly with senior client stakeholders to Support sales pre-sales activities by assessing opportunities, responding to RFPs, creating proposals and presentations, establishing relationships with clients and prospective clients, and helping to close sign new deals Lead Practice development, driving and orchestrating transformation and client solutions, teams, strategic roadmaps, and continuous improvement/optimization programs Establish and cultivate strong relationships with clients at senior levels as well as external and internal partners to maximize growth within an account/client portfolio Develop effective relationships with key internal executives, BU heads, Account Managers, Solution SMEs, and Sales leaders Partner across a highly matrixed technology consulting services and solutions organization to define, implement and deliver innovative Modern Application Transformation solutions for ACIs clients to successful outcomes. Develop client roadmaps, program building, incorporating intelligent processes and solution planning that drives our clients desired business outcomes. Create and maintain thorough architectural and design documentation for ACIs client solution platforms. Create and maintain an extensible cloud-based architecture that assure agile response to market needs of future features and capabilities. Establish key partnerships with technical leadership and most experienced and respected engineers on the client-side and articulate a strategic technical vision Collaborate with ACIs leadership to build an environment of collective responsibility and accountability. Learn specifics of the customers Business Architecture, Application Architecture, Infrastructure Architecture and Data Architecture and take all of them into account while designing solutions Create ideas that can improve business capabilities or introduce new ones for our customers Understand the market for new practices and technologies that may result in competitive advantage or improved ways of working. Deliver customer experience to enhance and retain CSAT above 95%, increase business sustenance and life while helping to increase ACV. Requirements 15+ years experience in multiple technologies (cross-stack) and have a deep understanding of business domains, technical stacks, programming languages, environments, and managed cloud services Deep domain expertise of cloud application development solutions (e.g. PaaS, Serverless, API Management), container orchestration (e.g. Kubernetes, Cloud Foundry), continuous integration technologies (e.g. Jenkins, Spinnaker, Azure for DevOps), web application server technologies, cloud application design, software architecture and practices (design/development/deployment, Agile, SCRUM), breadth of technical experience, and technical aptitude to learn and adjust to new technologies and cloud trends The ability to quickly acquire knowledge, go beyond current technical competencies to work with previously unknown tools and/or techniques Experience with marketing automation, analytics, and CRM systems to deliver real time client results to our clients' platforms. Understanding of infrastructure scalability, accessibility, and user interfaces. Exceptional management skills with direct experience in managing multiple client delivery projects. Cloud Platforms (Amazon Web Services (AWS), Azure, GCP); SAP Stack including S/4 HANA & C/4 HANA Salesforce Stack DevOps, Automation CI/CD Customer Experience: AEM, Commerce Cloud ServiceNow Data & Analytics in the cloud API, Microservices and Integration Note : Interested professionals can share their resume to raghav.b@aciinfotech.com +91-9985737316