13 Ai Ml Jobs

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