93 Deploying Models Jobs - Page 4

Looking for a strong ML engineer with end to end exposure in ML lifecycle , Azure etc Strong background in data science and machine learning, particularly in anomaly detection. Experience in deploying ML models to production in cloud environments.

We’re looking for an experienced, motivated hands-on engineer who brings ideas about building largescale enterprise applications; As a Senior Developer, you’ll apply your deep expertise in designing, developing and delivering a world class software. You will also help in providing technical direction and develop strategies for long-term product growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face. The day today responsibilities include Analyzes and designs software modules, features or components of software programs and develops related specifications. Develops, tests, documents and maintains complex software programs for assigned systems, applications and/or products. Gathers and evaluates software project requirements and apprises appropriate individual(s). Codes, tests and debugs new software or enhances existing software. Troubleshoots and resolves or recommends solutions to complex software problems. Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application as required. Provides senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates. Assists management with the planning, scheduling and assigning of projects to software development personnel. Ensures product quality by participating in design reviews, code reviews, and other mechanisms. Interacts effectively with Quality Assurance team. Participates in developing test procedures for system quality and performance. Writes and maintains technical documentation for assigned software projects. Provides initial input on new or modified product/application system features or enhancements for user documentation. Reviews user documentation for technical accuracy and completeness. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 6 to 9 years of experience in developing enterprise applications using Java, J2EE and related technologies Hands-on experience with both RDBMS (Oracle, IBM DB2) and no-SQL databases (Cassandra) Strong understanding of advanced algorithms used in design and development of enterprise grade software Hands on experience writing code with streaming tools like Kafka and using cloud functions (serverless compute) Strong knowledge of Microservice architecture and deployment model for enterprise grade cloud env (public / private). Strong knowledge of software development tools and methods; related software languages; test design and configuration; related systems, applications, products and services. Good written and verbal communication skills. Ability to test and analyze data and provide recommendations; to organize tasks and determine priorities; Ability to provide guidance to less experienced personnel. Proven debugging and troubleshooting skills (memory, performance, battery usage, network usage optimization, etc) Preferred technical and professional experience Java, Spring boots No-sql DB microservices Experience in working on large scale SaaS application

Notice Period: Immediate to 15 Days Role Overview: We are seeking a skilled and innovative LLM Engineer to design, implement, and optimize advanced GenAI solutions across drug discovery, clinical development, and manufacturing. The ideal candidate will have hands-on experience with LLMs, deep learning, MLOps, and agentic frameworks, with a strong focus on building scalable AI infrastructure and production-ready ML pipelines. Key Responsibilities: Design and implement LLM training and fine-tuning pipelines (e.g., using DeepSpeed, PEFT, RLHF). Collaborate with data scientists to customize and deploy LLMs in use cases such as target discovery, clinical trial optimization, and molecule design . Build scalable, reusable backend systems and GenAI agentic frameworks (AutoGen, LangGraph) to power R&D applications. Develop and maintain robust evaluation frameworks , telemetry systems, and performance monitoring tools. Operationalize models on Azure and GCP with MLOps best practices, working closely with the DevSecOps team. Design data pipelines to support rapid ML experimentation and model lifecycle management. Evaluate and integrate third-party GenAI tools and co-develop solutions with external technology partners. Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related quantitative field. 3-5 years of experience in ML/AI engineering, with a strong focus on LLMs and GenAI . Proficiency in Python and frameworks such as PyTorch or TensorFlow . Experience with LLM technologies , including embedding techniques, RAG, fine-tuning, pre-training , and evaluation benchmarks . Hands-on experience with agentic AI frameworks like AutoGen and LangGraph . Solid experience in MLOps , model deployment, and cloud infrastructure (Azure, GCP). Full-stack engineering mindset with familiarity in CI/CD, testing, code reviews , and scalable software development. Strong problem-solving abilities and communication skills. Preferred: Experience in life sciences, healthcare, or pharma R&D applications is a plus. Familiarity with data governance, model interpretability, and responsible AI practices.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Cloud Infrastructure Good to have skills : Infrastructure Service Management, SAP GRC( AC.PC,RM)Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements and provide input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the design and implementation of cloud infrastructure solutions.- Collaborate with stakeholders to understand and define infrastructure requirements.- Ensure the scalability, security, and reliability of cloud infrastructure systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Infrastructure.- Strong understanding of cloud service models and deployment models.- Experience with infrastructure automation tools like Terraform or Ansible.- Knowledge of networking concepts and protocols.- Hands-on experience with cloud security best practices. Additional Information:- The candidate should have a minimum of 15 years of experience in Cloud Infrastructure.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Project Role :Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team capabilities in cloud migration.- Monitor and evaluate the effectiveness of migration strategies and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Strong understanding of cloud architecture and deployment models.- Experience with cloud service providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.- Familiarity with data security and compliance requirements in cloud environments.- Ability to analyze and optimize cloud costs and performance. Additional Information:- The candidate should have minimum 12 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role :Cloud Advisory Innovation Project Role Description : Act as Subject Matter Expert in area of expertise and support clients to design, build and implement scalable, high performance hosting solutions using Cloud Technologies. Identify business requirements and corresponding cloud based solutions. Plan and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Enhance Accentures marketplace reputation. Must have skills : Netapp Network Attached Storage (NAS) Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Advisory Innovation professional, you will engage with clients to understand their unique business needs and provide expert guidance in designing and implementing high-performance hosting solutions utilizing cloud technologies. Your typical day will involve collaborating with cross-functional teams, analyzing existing infrastructure, and developing strategies for legacy transformation and migration, all while enhancing the reputation of the organization in the marketplace. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings with stakeholders to gather requirements and present cloud solutions.- Develop comprehensive project plans that outline timelines, resources, and deliverables for cloud migration initiatives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Netapp Network Attached Storage (NAS) Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration strategies and tools.- Familiarity with performance tuning and optimization of cloud-based solutions.- Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Netapp Network Attached Storage (NAS) Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role :Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : NEXThink Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on deployment of infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals. Your role will also require you to stay updated with the latest cloud technologies and best practices to enhance the efficiency and effectiveness of the solutions you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in cloud technologies.- Continuously evaluate and improve cloud application solutions to ensure optimal performance and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in NEXThink.- Good To Have Skills: Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.- Strong understanding of cloud architecture and deployment models.- Experience with automation tools and scripting languages to streamline deployment processes.- Familiarity with monitoring and performance tuning of cloud applications. Additional Information:- The candidate should have minimum 5 years of experience in NEXThink.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Overview: The OWG Tech department is seeking a highly skilled and experienced Senior Solutions Architect to join our team, reporting directly to the Lead Domain Solutions Architect. In this pivotal role, you will lead collaboration with Technology and Business partners to design and communicate innovative solutions utilizing packaged solutions, cloud services, and custom development. In this role, you will be responsible for generating and providing critical feedback on Architecture Documents, presenting them to the Architecture Review Board. You will also review, adopt, and promote architectural standards and best practices to ensure consistency and security across domains such as enterprise applications, web applications, microservices, and application containerization. Your contributions will be essential in driving the architectural vision and ensuring that our technology solutions align with business objectives, enhancing operational efficiency and fostering innovation across the organisation. Key Responsibilities: Collaborate with the Lead Domain Solutions Architect and cross-functional teams to understand business requirements and translate them into effective technical solutions, focusing on cloud services and application development and packaged solutions. Design, develop, and implement scalable and secure applications using the MEAN (MongoDB, Express.js, Angular, Node.js) and MERN (MongoDB, Express.js, React, Node.js) stacks, ensuring adherence to best practices and architectural standards. Participate in the generation and review of Architecture Documents, contributing to presentations for the Architecture Review Board and ensuring alignment with business goals. Assist in defining and promoting architectural standards and best practices across the organization, particularly in relation to cloud solutions and application development. Mentor and support junior team members, fostering their professional growth and ensuring they adhere to established architectural standards and practices. Stay abreast of emerging technologies and industry trends, evaluating their potential impact on our solutions and sharing insights with the team. Act as a liaison between technical teams and business stakeholders, ensuring clear communication and understanding of architectural decisions and their implications for business objectives. Identify opportunities for innovation and improvement in technology solutions, contributing to a culture of continuous improvement and agility within the team Define the high-level structure, components, and interactions between them to ensure a cohesive and extensible application architecture. Experience Required: Minimum of 5 years of experience in a solutions architect role or similar, with a proven track record in designing and implementing cloud-based solutions. Demonstrated ability to develop complex applications using the MEAN and MERN stacks, with a strong understanding of their respective frameworks and best practices. Extensive experience in evaluating and integrating new technologies, frameworks, and tools to address specific business challenges and project requirements. In-depth knowledge of the Software Development Life Cycle (SDLC) and experience with both traditional waterfall and modern agile methodologies. Proven experience in collaborating with both business and technical stakeholders, effectively communicating complex technical concepts to non-technical audiences. Proficiency in cloud platforms such as AWS or Azure, with a solid understanding of cloud architecture, services, and deployment models. Strong understanding of DevOps practices, including continuous integration, continuous delivery, and infrastructure automation, to facilitate efficient solution deployment and management. Familiarity with security principles, data protection, and compliance requirements to design secure and compliant solutions. Hands-on experience in troubleshooting and resolving complex technical issues, providing guidance to technical teams as needed. Additional Qualifications: Bachelors or masters degree in Computer Science, Software Engineering, or a related field. Cloud Professional Certification (highly desirable). TOGAF Enterprise Architecture Certification (highly desirable). Skills and Attributes: Full professional proficiency in both written and spoken English. Strong analytical and problem-solving skills, with a keen attention to detail. Excellent interpersonal and communication skills, with the ability to work collaboratively in a team environment.

Focus - A skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, along with experience in cloud platforms and productionizing models. Key Responsibilities: 1. Develop and optimize machine learning models for classification, regression, NLP and computer vision tasks. 2. Implement and fine-tune deep learning architectures using frameworks like TensorFlow, PyTorch, or Hugging Face. 3. Deploy models to production using MLOps (Machine learning Operations) best practices, including Docker, Kubernetes. 4. Collaborate with data engineers, software developers, and business stakeholders to integrate AI solutions into applications. 5. Monitor and maintain deployed models, ensuring they remain effective and scalable. 6. Stay updated with the latest trends in AI research, frameworks, and tools

Overview We are PepsiCo We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visitwww.pepsico.com. PepsiCo Data Analytics & AI Overview With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCos leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support pre-engagement activities as requested and validated by the prioritization framework of DA&AI. Data Scientist-Gurugram and Hyderabad The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Use big data technologies to help process data and build scaled data pipelines (batch to real time) Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines. Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure Automate ML models deployments Qualifications Minimum 3years of hands-on work experience in data science / Machine learning Minimum 3year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers BE/BS in Computer Science, Math, Physics, or other technical fields. Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models Programming Skills Hands-on experience in statistical programming languages like Python and database query languages like SQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Any Cloud Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pigis an added advantage Model deployment experience will be a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is required Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills

Role & responsibilities Design and implement end-to-end ML Ops pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML models to automate deployment and monitoring in production. Monitor model performance, detect drift , and implement automated retraining mechanisms. Work with cloud platforms ( AWS, GCP, Azure ) and containerization technologies ( Docker, Kubernetes ) for scalable deployments. Implement best practices in data engineering , feature stores, and model versioning. Collaborate with data scientists, engineers, and product teams to integrate ML models into production applications. Ensure compliance with security, privacy, and ethical AI standards in ML deployments. Optimize inference performance and cost of LLMs using quantization, pruning, and distillation techniques . Deploy LLM-based APIs and services, integrating them with real-time and batch processing pipelines. Key Requirements: Technical Skills: Strong programming skills in Python, with experience in ML frameworks ( TensorFlow, PyTorch, Hugging Face, JAX ). Experience with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Airflow). Deep understanding of LLM architectures , prompt engineering, and fine-tuning. Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools . Proficiency in cloud services (AWS/GCP/Azure) for ML model training and deployment. Experience with monitoring ML models (Prometheus, Grafana, Evidently AI). Knowledge of feature stores (Feast, Tecton) and data pipelines (Kafka, Apache Beam). Strong background in distributed computing (Spark, Ray, Dask) . Soft Skills: Strong problem-solving and debugging skills. Ability to work in cross-functional teams and communicate complex ML concepts to stakeholders. Passion for staying updated with the latest ML and LLM research & technologies . Preferred Qualifications: Experience with LLM fine-tuning , Reinforcement Learning with Human Feedback ( RLHF ), or LoRA/PEFT techniques . Knowledge of vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation ( RAG ). Familiarity with LangChain, LlamaIndex , and other LLMOps-specific frameworks. Experience deploying LLMs in production (ChatGPT, LLaMA, Falcon, Mistral, Claude, etc.) .

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : Microsoft Azure IaaS, VMWare Cloud AdministrationMinimum 7.5 year(s) of experience is required Educational Qualification : Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and maintain comprehensive migration plans that outline timelines, resources, and risk management strategies.- Facilitate training and knowledge transfer sessions to ensure team members are equipped with the necessary skills for cloud technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Good To Have Skills: Experience with Microsoft Azure IaaS, VMWare Cloud Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration tools and techniques.- Familiarity with security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS is required. Qualification Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

We’re looking for an experienced, motivated hands-on engineer who brings ideas about building largescale enterprise applications; As a Senior Developer, you’ll apply your deep expertise in designing, developing and delivering a world class software. You will also help in providing technical direction and develop strategies for long-term product growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face. The day today responsibilities include Analyzes and designs software modules, features or components of software programs and develops related specifications. Develops, tests, documents and maintains complex software programs for assigned systems, applications and/or products. Gathers and evaluates software project requirements and apprises appropriate individual(s). Codes, tests and debugs new software or enhances existing software. Troubleshoots and resolves or recommends solutions to complex software problems. Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application as required. Provides senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates. Assists management with the planning, scheduling and assigning of projects to software development personnel. Ensures product quality by participating in design reviews, code reviews, and other mechanisms. Interacts effectively with Quality Assurance team. Participates in developing test procedures for system quality and performance. Writes and maintains technical documentation for assigned software projects. Provides initial input on new or modified product/application system features or enhancements for user documentation. Reviews user documentation for technical accuracy and completeness. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 6 to 9 years of experience in developing enterprise applications using Java, J2EE and related technologies Hands-on experience with both RDBMS (Oracle, IBM DB2) and no-SQL databases (Cassandra) Strong understanding of advanced algorithms used in design and development of enterprise grade software Hands on experience writing code with streaming tools like Kafka and using cloud functions (serverless compute) Strong knowledge of Microservice architecture and deployment model for enterprise grade cloud env (public / private). Strong knowledge of software development tools and methods; related software languages; test design and configuration; related systems, applications, products and services. Good written and verbal communication skills. Ability to test and analyze data and provide recommendations; to organize tasks and determine priorities; Ability to provide guidance to less experienced personnel. Proven debugging and troubleshooting skills (memory, performance, battery usage, network usage optimization, etc) Preferred technical and professional experience Java, Spring boots No-sql DB - Cassandra, MongoDB microservices Developement Experience in working on large scale SaaS application