Skills Required Strong communication skillsAbility to do multitask and manage multiple deliverables and projects at the same timeProficiency in system analysis ,design, development and implementationMust have Extensive Working Knowledge of ABAP Workbench ,Data Dictionary ,classical and Interactivereports using ALV, Dialog programming , object programming , object oriented programming , smart forms ,Data Migration , Data Uploads using BDC,BAPIAdvantage if have working experience in CDS /AMDP/UI5Expertise in ABAP new Sytaxes> 7.4,ABAP on HANA ,ABAP Debugging , performance tools , Runtime Analysis , SQL TraceExpertise in development of RCF (Remote Function call) ,Report, Batch, scheduling ,OOPS,ODATAPrepare understanding of business document, technical specification and testing document for developmentBeing a technical expert identify the application issue and provide timely solutionDevelop ,code, document and execute unit test, systems , integration and acceptance tests and testing tools for function of high complexityUndertake performance tunning activities for SAP integration activitiesMentor and coach Junior developer resourcesTransform business function requirements into technical program specs to code test and debug programs
Position Overview Seeking a Senior ML Testing Engineer with 10+ years experience to ensure quality and regulatory compliance of machine learning models in client's healthcare AI systems. Experience Required Qualifications 10+ years in software testing with 5+ years focused on ML/AI systems 3+ years experience in healthcare/pharmaceutical/medical device industry Technical Skills Expert in Python/R and ML frameworks (TensorFlow, PyTorch, Scikit-learn) Extensive experience in LLM application testing including prompt validation, response evaluation, and safety testing Advanced knowledge of statistical testing and experimental design Experience with testing automation tools and CI/CD pipelines Proficiency in cloud platforms (AWS, Azure, GCP) and MLOps tools Show more Show less
Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Show more Show less
Minimum 7-10 years of experience with Python development. Excellent experience in Python 3.7 or higher, Fast API, Flask framework, Django, Rest APi, Pandas, HTML5, CSS3, JavaScript Experience in consuming Client models Excellent knowledge of SQL and No-SQL Database with Dockers and Kubernetes Should have good knowledge of Web Application, Infrastructure and web servers like Apache. Should have good experience with Bit bucket for source code management. Should have experience with Agile methodology and knows SDLC Knowledge of Azure/ AWS services and DevOps Knowledge on Networking and other components of web-application development is beneficial Knowledge on Angular is nice to have Should have good communication skills and a team player attitude. Understanding on to integrate multiple data sources and databases into one system Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python Writing reusable, testable, and efficient code Excellent pattern recognition and predictive modeling skills Knowledge of a variety of machine learning techniques (clustering, decision tree learning, time series etc.) and their real-world advantages/drawbacks. Show more Show less
Thingworx Developer JD Hands on Experience in latest Version of ThingWorx 9.0 mandatory Hands on Experience in ThingWorx Analytics, Kepware and manufacturing apps Hands on experience in creating ThingWorx custom extension using by java or .NET. Hands on experience in design & development in PTC ThingWorx client SDK and edge development, mashup (views) and web application development Experience in Industrial Gateway Client/Server communications. Experience in KEPWare and OPC client installations and configuration. Good-to-Have Experience on SSO integration with ThingWorx. Java, REST API Programming Design and development
Minimum 3+ years of development experience working in Azura EMR implementation, customization, and configuration. Related Azura Integration: Azura NextGen EMR/EPM , Azura_Clairvia Physician's Scheduler, Azura NextGen Share (HIE Mirth),...
Minimum 3+ years of development experience working in Mirth, HIE implementation, customization, and configuration.
Polarion Developer JD Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred. 10+ years of work experience Extensive hands-on experience in implementing and integrating ALM solutions in complex environments. Expertise in Siemens Polarion; certification is a plus. Polarion ALM-PLM integration The configuration of Polarion and Polarion project templates Implementation of complex dashboards Administration tasks related to process management in Polarion Proven experience with integrating engineering tools and creating CI/CD pipelines. Familiarity with ALM Infrastructure setup and configuration. Working knowledge of Java, J2EE, JavaScript, HTML, CSS, and XML for customization and scripting within ALM tools.
Minimum 3+ years of development experience working in Soarian Clinicals product implementation, customization, and configuration.
As an experienced developer with over 3 years of experience, you will be responsible for working on the implementation, customization, and configuration of the Soarian Clinicals product. Your primary focus will be on utilizing your development skills to enhance and tailor the Soarian Clinicals platform to meet the specific needs of our organization. Your expertise in this area will be crucial in ensuring the successful integration and optimization of the Soarian Clinicals product within our operations.,
Job Title: SAP SuccessFactors Time Management Consultant Location: Pune, Mumbai, Delhi, Chennai, Bangalore Job Summary: As an SAP SuccessFactors Time Management Consultant, you will be responsible for implementing, configuring, and supporting the SAP SuccessFactors Time Management module to optimize clients' HR processes, particularly in the area of time tracking. Your expertise in SuccessFactors functionality and HR best practices will be crucial in delivering successful projects and driving HR transformation. Key Responsibilities Support for production issues in Time Management area and provide appropriate solution. Implement and configure SAP SuccessFactors Time Management solutions. Analyze client requirements and design solutions to meet their HR needs. Provide expert advice on SAP Best Practices for time management. Lead and support full-cycle implementation projects. Troubleshoot and resolve issues related to time management functionalities. Collaborate with multi-cultural teams and guide customers on-site and offshore. Maintain up-to-date knowledge of SAP SuccessFactors updates and enhancements. Document the problem analysis, resolution clearly in business language to ensure repetition of the problems. Qualifications More than 4 years of experience in full-cycle implementation and support projects for SAP SuccessFactors Time Management. Certified in SuccessFactors Time Management module along with Employee Central. Experience with multiple SuccessFactors/SAP HCM solutions such as Employee Central, Time Off, Time Tracking, and Time Sheet. Strong understanding of HR business processes. Excellent communication skills, both oral and written. Experience with SAP HCM on-premise solutions is a plus. Integration knowledge and EC Payroll experience are advantageous. Good analytical and problem solving skills with recommendations to customers. Work Environment Collaborative and supportive team environment. Opportunities for learning and development. Involvement in international projects.
You should have at least 2 years of hands-on experience. You must possess a strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages like Python is required, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. You should have hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. A solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc., is essential. Familiarity with computer vision concepts like image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow is expected.,
Skill Sets: Deep Learning, GenAI, Agentic AI, Publications/Prototyping Role Overview Develop and deploy deep learning, generative AI, and agentic AI solutions for drug discovery and pharmaceutical research. Onsite position . Responsibilities Build deep learning models for molecular design, drug discovery, and protein analysis Develop generative AI systems for molecule generation and lead optimization Create agentic AI solutions to automate scientific workflows Prototype and deploy AI applications for pharmaceutical challenges Collaborate with chemists and biologists; publish/present findings Requirements Bachelor's degree in Computer Science, Bioinformatics, Data Science, or related field Strong expertise in deep learning (PyTorch/TensorFlow) Hands-on experience with generative AI (LLMs, diffusion models, transformers) Experience building agentic AI systems and autonomous agents Track record of publications OR prototyping/deployment Proficiency in Python and ML frameworks Preferred Experience in pharma/biotech or life sciences Knowledge of cheminformatics or molecular modeling Familiarity with GNNs and molecular representations
Role Overview Build and deploy generative AI solutions using LLM fine-tuning, RAG architectures, and agentic AI systems. Responsibilities Fine-tune large language models for domain-specific applications and use cases Design and implement RAG (Retrieval Augmented Generation) pipelines with vector databases Build agentic AI systems with autonomous decision-making and tool-using capabilities Optimize LLM performance through prompt engineering, parameter tuning, and model selection Develop and deploy production-ready GenAI applications and APIs Evaluate model performance, conduct A/B testing, and iterate on solutions Collaborate with cross-functional teams to integrate GenAI into products Requirements Bachelor's degree in Computer Science, Engineering, AI/ML, or related field Strong experience with LLM fine-tuning (LoRA, QLoRA, full fine-tuning, PEFT methods) Proven expertise building RAG systems with vector databases and embeddings Hands-on experience developing agentic AI solutions and multi-agent systems Proficiency with LLM frameworks (LangChain, LlamaIndex, Haystack) Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS) Strong Python programming skills Understanding of transformer architectures and LLM APIs Preferred Experience with distributed training and GPU optimization Knowledge of MLOps, model deployment, and monitoring Familiarity with Hugging Face ecosystem Experience with prompt optimization and evaluation frameworks Understanding of LLM safety, alignment, and guardrails Background in NLP or deep learning research
Role Overview Develop and deploy NLP solutions using transformers, text mining techniques, and modern language models. Build production-ready systems for text analysis and understanding. Responsibilities Design and implement NLP pipelines for text classification, entity recognition, and information extraction Build transformer-based models for various NLP tasks and applications Develop text mining solutions to extract insights from large-scale unstructured data Implement and customize spaCy pipelines for domain-specific NLP requirements Integrate and fine-tune LLMs for text processing and understanding tasks Optimize NLP models for performance, accuracy, and production deployment Collaborate with data scientists and engineers to deliver end-to-end NLP solutions Requirements Bachelor's degree in Computer Science, Computational Linguistics, AI/ML, or related field Strong expertise in transformer architectures (BERT, RoBERTa, T5, GPT) Proven experience with text mining and information extraction techniques Proficiency in spaCy for NLP pipeline development Hands-on experience working with LLMs and their applications Strong Python programming skills Experience with Hugging Face Transformers library Understanding of NLP fundamentals (tokenization, embeddings, semantic analysis) Preferred Experience with named entity recognition (NER), sentiment analysis, and text classification Knowledge of traditional NLP techniques (TF-IDF, word embeddings, POS tagging) Familiarity with NLTK, Gensim, or other NLP libraries Experience with model fine-tuning and transfer learning Understanding of multilingual NLP and cross-lingual models Knowledge of MLOps and model deployment pipelines Experience with document processing and OCR integration
Role Overview: You will be responsible for developing and deploying NLP solutions using transformers, text mining techniques, and modern language models. Your main tasks will involve building production-ready systems for text analysis and understanding. Key Responsibilities: - Design and implement NLP pipelines for text classification, entity recognition, and information extraction - Build transformer-based models for various NLP tasks and applications - Develop text mining solutions to extract insights from large-scale unstructured data - Implement and customize spaCy pipelines for domain-specific NLP requirements - Integrate and fine-tune LLMs for text processing and understanding tasks - Optimize NLP models for performance, accuracy, and production deployment - Collaborate with data scientists and engineers to deliver end-to-end NLP solutions Qualifications Required: - Bachelor's degree in Computer Science, Computational Linguistics, AI/ML, or related field - Strong expertise in transformer architectures (BERT, RoBERTa, T5, GPT) - Proven experience with text mining and information extraction techniques - Proficiency in spaCy for NLP pipeline development - Hands-on experience working with LLMs and their applications - Strong Python programming skills - Experience with Hugging Face Transformers library - Understanding of NLP fundamentals (tokenization, embeddings, semantic analysis),
As a Deep Learning Engineer at our company, your role involves developing and deploying cutting-edge AI solutions for drug discovery and pharmaceutical research. You will be responsible for building deep learning models, developing generative AI systems, and creating agentic AI solutions to address pharmaceutical challenges. Additionally, you will collaborate with chemists and biologists to publish and present your findings. Key Responsibilities: - Build deep learning models for molecular design, drug discovery, and protein analysis - Develop generative AI systems for molecule generation and lead optimization - Create agentic AI solutions to automate scientific workflows - Prototype and deploy AI applications for pharmaceutical challenges - Collaborate with chemists and biologists; publish/present findings Qualifications Required: - Bachelor's degree in Computer Science, Bioinformatics, Data Science, or related field - Strong expertise in deep learning (PyTorch/TensorFlow) - Hands-on experience with generative AI (LLMs, diffusion models, transformers) - Experience building agentic AI systems and autonomous agents - Track record of publications OR prototyping/deployment - Proficiency in Python and ML frameworks In addition to the above requirements, preferred qualifications include experience in pharma/biotech or life sciences, knowledge of cheminformatics or molecular modeling, and familiarity with GNNs and molecular representations.,