501 Aiml Jobs - Page 4

Job Title: Engineering Manager (Full Stack | AWS | AI/ML | ERP Integrations) Location: Bangalore Experience: 10 - 12 Years About the Role: We are looking for an accomplished and hands-on Engineering Manager with deep expertise in Full Stack Development, Cloud Architecture, and DevSecOps. The ideal candidate must have a strong background in designing scalable applications, performance optimization, and cloud-native architectures with a focus on delivering reliable, secure, and efficient software products. This is a leadership role that combines technical expertise, team management, and delivery ownership. The candidate must have hands-on experience across the technology stack and infrastructure lifecycle. Key Responsibilities: Lead and mentor a team of Full Stack Developers across React, Node.js, and Python. Drive architectural decisions and hands-on development for scalable web and enterprise applications. Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality releases. Design and implement architecture patterns and design patterns suitable for microservices and event-driven systems. Ensure the security, performance, and reliability of systems by implementing DevSecOps practices and tools. Lead AWS infrastructure setup including serverless, VPC, RDS, S3, Lambda, CloudFormation, etc. Manage Application Performance Monitoring (APM) tools like New Relic, Datadog, or AppDynamics. Optimize performance and conduct load testing using tools such as JMeter, Locust, Gatling, or Artillery. Drive ERP and third-party integrations and manage ETL workflows across cloudbased and hybrid systems. Own the database design and optimization strategy involving both RDBMS (MySQL/PostgreSQL) and NoSQL (MongoDB, DynamoDB, Redis). Design and optimize enterprise search solutions using OpenSearch or Elasticsearch. • Ensure coding standards, CI/CD, test automation, and documentation are followed by the team. Support recruitment efforts and conduct performance reviews for engineers. • Work on end-to-end e-commerce applications including catalog management, search optimization, order and payment processing, and customer engagement modules, with strong hands-on expertise in each domain. Provide technical leadership in building, deploying, and scaling AI/ML solutions aligned with business goals. Required Skills & Qualifications: 10 - 12 years of progressive experience in software engineering with 3+ years in leadership roles. Expertise in Full Stack Development using React.js, Node.js, Python. Strong understanding of software architecture patterns (e.g., layered, hexagonal, microservices). Proficiency in design patterns such as Singleton, Factory, Observer, Strategy, etc. Hands-on experience in deploying and managing cloud-native applications on AWS. Strong knowledge of DevSecOps practices, security automation, IAM, and CI/CD. Hands-on experience with APM tools for end-to-end monitoring and observability. Practical understanding and hands-on execution of performance tuning and load testing methodologies. Deep hands-on expertise in integrating with ERP systems (SAP, Oracle, custom solutions). Proven experience in designing and executing ETL pipelines and workflows. Advanced hands-on experience in database design and performance tuning for both RDBMS and NoSQL databases. Working experience and implementation expertise with search platforms like OpenSearch/Elasticsearch. Hands-on experience in building, scaling, and maintaining end-to-end ecommerce applications. Proven experience in managing and solutioning AI/ML systems, including model development, deployment, and monitoring. Preferred Certifications (Bonus Points): AWS Certified Solutions Architect (Associate / Professional) AWS Certified DevOps Engineer Certified Kubernetes Administrator (CKA) TOGAF or similar architecture certifications Soft Skills: Excellent communication and interpersonal skills Strong problem-solving and analytical thinking Ability to drive execution with ownership and autonomy Passion for mentoring and building high-performing teams

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines

AI Project Manager1 Lead cross-functional teams (engineering, data science, product, QA) to deliver AI-driven solutions on time and within budget. Manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. Translate complex AI technical requirements into actionable project plans. Ensure adherence to Agile/Scrum methodologies and AI project lifecycle best practices. Collaborate with clients to define success metrics, KPIs, and ROI for AI projects. Drive continuous improvement by integrating feedback and post-implementation reviews. Mentor junior project managers on AI project delivery frameworks. Required Qualifications: Minimum 10 years of hands-on project management experience. 3+ years specifically managing AI/ML, NLP, or Computer Vision projects (e.g., model deployment, data pipeline integration, or AI product development). Proficiency in Agile/Scrum , JIRA, Confluence, and project planning tools (e.g., MS Project). Technical understanding of AI concepts (machine learning lifecycle, data preprocessing, MLOps). Experience with cloud platforms (AWS/Azure/GCP) and AI deployment workflows. Strong stakeholder management skills with IT, and business teams. Bachelor’s degree in Computer Science, Engineering, or related field. PMP/CSM certification preferred

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Summary: We are seeking a highly skilled and experienced AI/ML Consultant to join our team and support the development and deployment of advanced machine learning and artificial intelligence solutions. The ideal candidate will possess deep technical expertise, strong business acumen, and the ability to bridge the gap between complex algorithms and real-world business applications. Key Responsibilities: Collaborate with clients and internal stakeholders to identify opportunities for AI/ML applications. Design, develop, and deploy machine learning models and AI algorithms tailored to specific business problems. Evaluate model performance and implement improvements for scalability, accuracy, and efficiency. Advise clients on AI/ML strategies, tools, and frameworks suitable for their environment. Lead workshops, presentations, and training sessions for clients and internal teams. Translate complex technical solutions into clear business value propositions. Stay updated with the latest AI/ML trends, tools, and research to continuously improve offerings. Requirements: Proven experience in developing and deploying machine learning models. Proficiency in Python (preferred), R, or other programming languages used in data science. Strong understanding of frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker). Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Professional Skills: Strong problem-solving skills with a consultative approach. Excellent communication and presentation skills, especially with non-technical stakeholders. Ability to manage multiple projects and deliver high-quality results under tight deadlines. Prior experience in a consulting or client-facing role is highly preferred. Preferred Qualifications: Experience in specific AI/ML domains such as NLP, Computer Vision, Time Series Forecasting, or Reinforcement Learning. Industry experience in sectors such as finance, healthcare, retail, manufacturing, or logistics. Knowledge of data governance, security, and compliance standards.

Job Title: OCI Cloud AI Architect Location: Preferable- Noida (PAN India)-WFO Shift timings : 2PM to 11PM IST Total Experience : 10-15 years Primary Skill 1015 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack Strong Python programming development experience, streamlit, XML, JSON etc. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. Strong knowledge of AI governance, security, guardrails, and responsible AI. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows Experience with front end languages such as React, Angular or Javascript etc. Experience in Oracle ATP, 23ai Databases and vector queries Secondary Skill Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components Good to have knowledge of Analytics and Data Science. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting.

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune . We are looking for candidates with 7 + years of experience in below skills - Primary skills : Cloud -google cloud preferred but cloud any will do ML deployment using Jenkins/Harness Python Kubernetes terraform Interested candidates for above position kindly share your CVs on chitralekha.so@peoplefy.com with below details - Experience : CTC : Expected CTC : Notice Period : Location :

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

(Notice Period should not be more than 30 Days) Job Summary: We are seeking a Python Backend Engineer with experience in AI/ML workflows , particularly LLMs and LangChain . The role focuses on developing Generative AI-driven applications, integrating LLMs, building data-pipelines, and backend services. Prior experience with generative AI is strongly preferred. Key Responsibilities: Implement LangChain/LangGraph workflows for AI-driven automation. Fine-tune LLMs for business applications. Build and optimize FastAPI-based backend services. Manage data pipelines and storage using PostgreSQL . Deploy and scale AI models using Docker (Kubernetes is a plus). Work with AWS SageMaker, GCP Vertex AI, or Azure ML for model deployment. Improve inference efficiency and reduce latency for real-time AI applications. Required Skills: Strong Python backend development (FastAPI preferred). Experience with LLMs, and prompt engineering . Hands-on experience with LangChain/LangGraph . Knowledge of PostgreSQL and scalable data storage. Familiarity with Docker, Kubernetes for containerization. Exposure to at least one cloud platform (AWS/GCP/Azure). Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, Qdrant, etc.). Experience with fine-tuning LLMs. Familiarity with micro-services Familiarity with MLOps best practices. Familiarity with any of AWS SageMaker, GCP Vertex AI, or Azure ML for AI model deployment.

Software ARCHITECT - PRODUCT MNC - Urgent Hiring!!! Are you passionate about crafting scalable, cloud-native architectures? Do you thrive at the intersection of AI, cloud, and data platforms? Join us at Integra Connect, where we are transforming healthcare technology through intelligent solutions and innovation. LOCATION : BANGLORE - HYBRID What You'll Do: Architect end-to-end systems using Azure, Snowflake, Python, and .NET Lead AI/ML architecture and drive responsible AI practices Design scalable data platforms & ETL pipelines Mentor cross-functional engineering teams Set best practices for performance, security, and cloud optimization What Were Looking For: 8+ years in software development, 3+ years in architecture Deep expertise in Azure DevOps, AKS, Snowflake, AI/ML, and .NET/C# Experience in cloud-native architectures and healthcare systems is a plus Strong leadership, strategic thinking, and problem-solving skills At Integra Connect, you’ll be part of a team enabling specialty healthcare practices to thrive in a value-based care world — leveraging modern tech to make real impact. Hybrid | Competitive Benefits | Growth-Focused Culture Ready to architect the future of healthcare? Apply now or DM me for more info!

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

Designing & implementing AIML solutions to meet business requirements. Work closely with clients, stakeholders & development teams to define system architecture Ensure seamless AI/ML integration Data Analytics, Python, microservices, containerization

As a Network Engineer, youll start with intensive training in network systems, tools, and communication skills, followed by job rotations to apply your knowledge in practical settings. Working alongside experienced engineers, youll contribute to live projects and business operations, eventually leading to a full-time opportunity tailored to your strengths and career aspirations. Network Infrastructure (NI) is focusing on the building blocks and essential solutions of critical networks, driving digitalisation across all industries. In APAC. This program is designed to provide extensive training and hands-on experience in network technology covering latest development in Network automation, Cloud, AI/ML, followed by a comprehensive job rotation to give candidates a holistic understanding of our technology, business processes and work culture. You have: Bachelor's degree in Telecommunications, Electrical Engineering, Computer Science with min 1-3 years exp. in related field. Strong interest in automation, AI/ML, network engineering and telecommunications. Basic understanding of networking concepts and protocols. Basic knowledge in automation, development tools and programming fundamentals using Python, REST API and JSON. Proficiency in spoken and written English with strong communication and articulation capabilities. It would be nice if you also had: Can work independently and more importantly, work in a team. Self-motivated and independent to learn and adapt in a dynamic environment. Able to look at different influential factors and prioritize tasks. Participate in structured technical training focused on IP, Optical, and Fixed Networks technologies. Gain hands-on experience with real network equipment, tools, and management systems. Learn fundamentals of network design, security, troubleshooting, and performance optimization. Develop professional communication and presentation skills through workshops and face-to-face sessions. Collaborate on mini projects with peers and deliver micro-teaching sessions to enhance team learning. Rotate through different functions such as integration, solution design, and project management to gain cross-functional exposure. Contribute to live projects and assist in business operations under the mentorship of experienced engineers. Upon program completion, transition into a permanent role within the NI APAC team aligned to your skills and interests.

We are seeking a highly skilled AI Engineer with a mindset to design, build, intelligent systems for robust, scalable deployment. The ideal candidate will demonstrate proven experience in fine-tuning and optimizing AI products for real-world impact.

Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Good communication skills and the ability to work independently or in a team Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 250000 - 300000 Medicare Benefits Both side cab facilities.

Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Good communication skills and the ability to work independently or in a team Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 250000 - 300000 Medicare Benefits Both side cab facilities.

GenAI & LLM Solution Development : Lead the design and development of enterprise-level GenAI applications using LLM frameworks like Langchain, Autogen, and Hugging Face. AI/ML Pipeline Architecture : Architect AI pipelines using PySpark, TensorFlow, PyTorch in Databricks and AWS, with a focus on scalable GenAI and data science solutions. RAG & Vector DB Expertise : Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) use cases. MDM Integration : Integrate and use MDM platforms (e.g., Informatica, Reltio) to provide high-quality, structured data for ML models. Data Engineering & Automation : Use Python and SQL for data wrangling, pipeline automation, and building APIs for deploying GenAI models. Cross-Functional Collaboration : Work with data scientists, engineers, and product managers to deliver AI-powered systems aligned with business goals. Governance & Compliance : Ensure GenAI models follow governance standards, version control, and are audit-ready per regulatory needs. Extensive Technical Skills : Deep hands-on experience with LLMs, PyTorch, Langchain, SK-learn, Hugging Face, TensorFlow, AWS, MongoDB, and Databricks. Preferred Experience : Knowledge of life sciences domain, data modeling, ETL, Agile tools (JIRA, Confluence), and scalable architecture practices. Soft Skills & Leadership : Strong communication, mentoring, analytical, and collaboration skills with the ability to lead virtual global teams and provide thought leadership.

Role & responsibilities Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy. Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain. Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security. Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives. Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle. Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration. Evaluate and recommend AI technologies, platforms, and tools to support the organization's AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate. Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement. Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization's strategic goals. Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements. Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage. Work with US and Thryve leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines. Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization. Preferred candidate profile Bachelor's or masters degree in computer science, Artificial Intelligence, or a related field. 12+ years of experience in software development or architecture, with a significant focus on AI and machine learning. Deep understanding of AI/ML concepts and techniques, including supervised, unsupervised, and reinforcement learning, as well as experience with various AI algorithms and models. Hands-on experience with cloud computing platforms (e.g., AWS, Azure, GCP), with a strong preference for experience with Google Cloud Platform (GCP) and its AI-related services. Proven experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain. Strong programming skills in languages such as Python, Java, or Scala, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven ability to lead technical discussions and influence decision-making, with a demonstrated track record of successfully driving AI initiatives within an organization. Experience in working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus. Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex technical challenges. Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape. Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle. Strong leadership skills, with the ability to provide technical guidance and mentorship to project teams.

Role & responsibilities Technical Expertise: • Core AI/ML Skills: o Strong expertise in OCR, NLP, NER, deep learning, and ML model development. o Extensive experience working with Hugging Face Transformers, fine-tuning pre-trained models for NLP, OCR, and entity extraction tasks. o Proven experience in extracting structured data from scanned and digital PDF forms using OCR-based AI models. o Deep expertise in NLP techniques, including Named Entity Recognition (NER), sentiment analysis, topic modeling, text summarization, and relationship extraction from unstructured text sources (social media, literature, email body). o Experience building rapid prototypes using Gradio or Streamlit for ML model demonstrations. o Solid understanding of semantic search, recommendation systems, and applied ML principles. o Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and deep learning techniques. Systems & Tools: o Experience with Hugging Face, PyTorch, TensorFlow, and ML model serving APIs. o Familiarity with Linux-based environments, Git, and cloud platforms (AWS, GCP). o Hands-on knowledge of containerization (Docker, Kubernetes), vector search engines, and knowledge graphs is a plus. o Strong experience working with relational databases (Postgres, MySQL). Additional Credentials (Bonus): o Contributions to AI/ML research papers, open-source projects, or ML competitions. o Experience with vector search engines, embeddings, and retrieval-augmented generation (RAG) is a plus.

Greetings from Nihon Technology Pvt Ltd!!! We have an excellent opening with us for the following position. Work Location: Chennai/Remote Experience : 8+years Notice period : Immediate - 30days Period: Long-term Budget : Can be discussed for right candidate Key Responsibilities: Provide technical leadership and guidance to a team of AI/ML and security engineers. Drive the design, development, and implementation of AI/ML-powered security solutions. Establish and enforce coding standards, best practices, and architectural guidelines. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date with the latest advancements in AI/ML, Gen AI, and security technologies. Lead the development of AI/ML models for threat detection, anomaly detection, vulnerability analysis, and security automation. Design and implement secure AI/ML pipelines, ensuring data integrity and model security. Develop and deploy Gen AI-based solutions for security tasks such as code analysis, threat intelligence, and security awareness training. Integrate AI/ML models with existing security infrastructure and tools. Mentor and coach junior engineers, fostering their technical growth and development. Conduct performance reviews and provide feedback to team members. Promote a collaborative and innovative team environment. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. [5+] years of experience in software development, with a focus on Micro Service Design Patterns, Python , Fast API Frameworks and AI/ML Technology . [3+] years of experience in security engineering or a related field. Strong understanding of security principles, threat modeling, and vulnerability analysis. Preferred Skills: Experience with security information and event management (SIEM/Splunk) and SOAR systems. Experience with Deep Learning Models and Transformers, GEN AI LLM. Experience in Devops activity. If you are interested, kindly revert us with your updated profile with the following details to pushpadevi.r@nihontechnology.com Total & relevant years of experience: Current CTC: Expected CTC: Notice period: Current company: Current location: Preferred location: Kindly get in touch with me for any further clarifications. Regards, Pushpa(HR)

Job Description Summary Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape! Job Purpose: The Group Head, Forecasting will lead the forecasting team, developing accurate and insightful forecasts, and providing strategic guidance to support business decisions across therapy areas for in-line and pipeline products. In addition to ensuring a high-quality forecasts the role requires driving synergies across units and regions, exploring avenues for innovation and implementing solutions that bring speed and scalability. This role requires a deep understanding of forecasting methodologies, strong analytical skills, and the ability to collaborate effectively with cross-functional teams. Job DescriptionJob Description Your Key Responsibilities: Your responsibilities include, but not limited to: Lead the forecasting team and provide guidance to develop and maintain accurate short-term and long-term forecasts for various business units. Expected span of control of 20+ associates Critically evaluate the current forecasting processes and methodologies and explore areas of innovation and improvement in standardization, speed and accuracy Ensure Sandoz forecasting approaches are best-in-class leveraging AI and next gen forecasting tools and methodologies Lead the team to utilize advanced statistical and analytical techniques to analyse historical data and identify trends Collaborate with cross-functional teams on enterprise level forecasting initiatives as well as to gather relevant data and insights Provide strategic guidance and recommendations based on forecast data to support business planning and decision-making. Prepare and present detailed forecast reports to senior management and stakeholders, communicating complex data and insights in a clear and concise manner. Stay updated with industry trends and best practices in forecasting and data analysis. Skills and Competencies: In-depth knowledge of the industry, including market dynamics, competitive landscape, and regulatory environment. Experience in leveraging advanced statistical and analytics techniques (expertise in AI/ML will be added advantage) Strong team management and project management skills, especially with critical and time-sensitive deliverables Ability to manage multiple projects and senior stakeholders simultaneously, and effectively prioritize to meet critical deadlines Ability to align forecasting activities with the organizations strategic goals and provide actionable insights. Excellent communication, leadership and organizational skills What youll bring to the role: Minimum Requirements: Educational Background: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences and related fields Languages: Fluent in English (written and spoken) Good communication, presentation, and interpersonal skills Experience: 12+ years of relevant experience in pharma forecasting in a leading pharma or consulting organisation (experience in generic pharma industry will be a plus) You'll receive: Breakdown of benefits received in this role. Include flexible working, learning and development opportunities as well. Why Sandoz? Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more! With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged! The future is ours to shape! #Sandoz

We are looking for a Network Automation Engineer with a strong foundation in Python, DevOps , and GUI automation to transform our network operations. This role is central to automating key functions like service provisioning, monitoring, and fault resolution using advanced frameworks and tools. You will work closely with Network, SRE, and DevOps teams to build robust automation solutions that enhance efficiency and reliability across the organization. Key Responsibilities Network Automation & Scripting Develop and maintain Python scripts for network provisioning, configuration, and monitoring. Automate workflows using APIs, CLI, Netconf, REST, and Ansible. DevOps & CI/CD Integration Design CI/CD pipelines using Jenkins, GitLab, or Ansible AWX. Manage containerized applications with Docker and Kubernetes. Use Terraform and other Infrastructure-as-Code (IaC) tools. GUI Automation & RPA Automate GUI-based tasks with tools like Selenium, PyAutoGUI, AutoIt. Develop RPA scripts for repetitive manual processes. Monitoring & Observability Implement observability tools: Prometheus, Grafana, ELK stack. Automate alerts and incident responses using Python scripting. Collaboration & Documentation Work closely with cross-functional teams. Create and maintain technical documentation, playbooks, and standard operating procedures. Required Skills & Experience Programming & Scripting Python (advanced scripting, APIs, multithreading, libraries) Bash, PowerShell, YAML Network & Systems Knowledge Protocols: TCP/IP, SDH, VoIP, SIP, Routing & Switching Experience with routers, switches, firewalls Familiarity with BSS/OSS, NMS/EMS systems, 5G networks, and virtualized platforms (vBlock, CNIS). DevOps Tools & Platforms Ansible, Terraform, Docker, Kubernetes CI/CD: Jenkins, GitLab, Git APIs: REST, SNMP, Netconf, gRPC GUI & RPA Automation Tools: Selenium, PyAutoGUI, Pywinauto, AutoIt. Integration with APIs, data sources, and enterprise tools. Monitoring & Logging Prometheus, Grafana, ELK, Splunk, OpenTelemetry Preferred Qualifications Experience with cloud networking (AWS, GCP, Azure). Knowledge of AI/ML-based network automation. Exposure to orchestration tools (ONAP, Cisco NSO, OpenStack). What We Offer Technically challenging projects in a dynamic environment. Opportunity to work on cutting-edge network infrastructure. Competitive compensation and benefits. Culture of innovation, collaboration, and continuous learning.

Job Title: Data Architect / Engagement Lead Location: Chennai Reports To: CEO About the Company: Ignitho Inc. is a leading AI and data engineering company with a global presence, including US, UK, India, and Costa Rica offices. Visit our website to learn more about our work and culture: www.ignitho.com. Ignitho is a portfolio company of Nuivio Ventures Inc ., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT. Learn more about Nuivio at: www.nuivio.com. Job Summary: As the Data Architect and Engagement Lead, you will define the data architecture strategy and lead client engagements , ensuring alignment between data solutions and business goals . This dual role blends technical leadership with client-facing responsibilities. Key Responsibilities: Design scalable data architectures, including storage, processing, and integration layers. Lead technical discovery and requirements gathering sessions with clients. Provide architectural oversight for data and AI solutions . Act as a liaison between technical teams and business stakeholders . Define data governance, security, and compliance standards . Required Qualifications: Bachelors or Masters in computer science, Information Systems, or similar. 7+ years of experience in data architecture, with client-facing experience. Deep knowledge of data modelling , cloud data platforms (Snowflake / BigQuery/ Redshift / Azure), and orchestration tools. Excellent communication, stakeholder management, and technical leadership skills. Familiarity with AI/ML systems and their data requirements is a strong plus.

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune . We are looking for candidates with 3 + years of experience in below skills - Primary skills : Java Selenium AIML Artificial Intelligence Automation Testing Interested candidates for above position kindly share your CVs on chitralekha.so@peoplefy.com with below details - Experience : CTC : Expected CTC : Notice Period : Location :

We are hiring for Director Data Scientist for one of our leading client - Sigmoid in Bengaluru. Roles and Responsibilities : • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject • 14+ years of hands-on experience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. • Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills If interested, kindly share your profile to sukssidha@techtales.in