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While every one is trying to build capabilities on GenAI , one key ?? filter Hr and most JD are missing is they need software developers. In the GenAI, they need someone skilled at building apps, api or interact with other languages too such as react, or creating microservices, etc. Don’t get mislead by what JD says, always confirm which role it is, what kind of experience can work or not. “They”. refers to in general everyone who are documenting JD or hiring. Feel free to share your opinion.

#Hiring for a ?AI/ML Engineer Experience – 4 to 7 Years Location -- Hyderabad Work Mode -- Work from Office Notice Period -- Immediate to 15 Days 1. Build and manage data preprocessing pipelines?using Pandas, NumPy?to handle large datasets and ensure data quality. 2. Train and fine-tune models on local VM environments using TensorFlow, PyTorch, or Scikit-Learn and apply boosting methods like XGBoost. 1. Ask relevant questions while gathering Requireemnt 2. Requireemnt to code conversions 3. Data Analytics view , Analytical Thinking, Data Slicing, Data Engineering. 4. Select the right model and present the findings & justification / 5. documentation of the findings - PPT / Other ways of doing 5. Train the machine learning models both trditional models & LLM models 6. Evalyuate the models for the context. 7. Experience with GitHub, JIRA tools. 8. Plan his own work / day Please share profile to [email protected] Contact no?8886755345 #Opentowork#DataScience#AI/MLEngineer#Hyderabad#servingnoticeperiod#lookingforopportunities#Immediatejoiners#lookingforjobchange

#hiring *Insight Global Senior Machine Learning Engineer*, Bangalore, *India*, fulltime #opentowork #jobs #jobseekers #careers #Bangalorejobs #Karnatakajobs #ITCommunications #JobsInKarnataka #Karnatakajobs #bengalurujobs #BangaloreJobs #kannada #bengaluru *To Apply -->*: https://lnkd.in/deudy7Ht ResponsibilitiesML Platform End-to-End Development: Architecture and Best Practices: Data Structurization: Structure information from multiple data sources, including documents, websites, and emails. Agentic Systems: Develop agentic systems using the latest frameworks, such as LangGraph, to automate various operational activities.MLOps: Implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, deployment, A/B testing, and regression testingArchitecture and Best Practices:Experimentation: Design and run experiments with foundational LLMs, including Retrieval-Augmented Generation (RAG), fine-tuning, new cognitive architectures, and retrieval techniques. Scalability: Ensure that ML systems are scalable and optimized for low latency and high performance.Accuracy: Minimize hallucinations in the model outputs and aim to make them more deterministic. Adaptability: Architect highly adaptable ML systems given the fast-evolving nature of AI technologies.Tech QualificationsEngineers who understand the underlying principles and demonstrate quick learning abilities, along with adaptability to evolving tech stacks, are highly valued. While the following tech stack experience is preferred, specific experience in any one technology is not prioritized over another.1. Programming Languages: Python or any other relevant programming language.2. Machine Learning Frameworks: TensorFlow, PyTorch.3. Cloud Platforms: GCP, Kubernetes, Cloud Run.4. Data Structurization Technologies: OCR technologies.5. MLOps Tools: MLflow, Kubeflow.6. Vector Databases: Experience with vector databases.7. APIs: REST, GraphQL.8. Testing: Pytest, unit testing frameworks.9. Observability: ELK, Prometheus/Grafana.10. Data Isolation and Security: Integrate with Google Cloud Identify to ensure multi tenancy.

?? Hiring Alert ?? Job Description: #AI #ML Engineer Location:?Mumbai Employment Type:?Full-time Experience - 7+ Years Position Overview: We are seeking a highly skilled and motivated?AI ML?Engineer?to join our growing data science and engineering team. You will work on designing, developing, and deploying machine learning models, algorithms, and data-driven solutions to tackle complex business challenges. You will collaborate closely with data scientists, software engineers, and business stakeholders to bring machine learning-driven solutions from concept to production. Key Responsibilities Model Development:?Design, build, and implement machine learning models using various techniques such as supervised learning, unsupervised learning, deep learning, reinforcement learning, etc. Data Preprocessing:?Collect, clean, and preprocess data from various sources to make it suitable for training and evaluation. Algorithm Optimization:?Continuously improve the accuracy, efficiency, and scalability of models. Deployment:?Deploy machine learning models into production environments, working closely with software engineers to ensure scalability, reliability, and performance. Collaboration:?Work closely with data scientists, software engineers, and product managers to define requirements, test hypotheses, and deliver actionable insights. Model Evaluation:?Design and conduct experiments to evaluate model performance using appropriate metrics. Documentation & Reporting:?Write clear documentation and reports about models, experiments, and results for both technical and non-technical audiences. Research & Innovation:?Stay updated with the latest research in machine learning and AI and contribute to innovative projects. Scalability & Performance:?Optimize code for large-scale data processing and deploy models that work efficiently in production environments. Required Qualifications Education:?Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field. Experience:?6+ years of experience in machine learning or data science roles. Technical Skills: Strong Experience of machine learning algorithms (e.g., regression, classification, clustering, deep learning). Proficiency in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.). Familiarity with data processing tools (e.g., Pandas, NumPy). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker, Kubernetes). Interested candidate can share your cv on [email protected] #AIML #datascience #AI #ML #datascientist #machinelearning #artificialintellegence #immediatehiring #mumbaihiring #urgentrequirement Manish Sinha Gaurav Prakash Menka Hirwani Shweta Choudhary Himanshi .Tomar Asmita R Boolean Tabs

Hiring artificial intelligence engineers: Why? (And some required skills!) Reasons why you company could need to hire an artificial intelligence engineer: - Data-Driven Decisions - Efficiency and Automation - Innovation and Competitivity ?In a world where data is the new gold and efficiency is the key to success, an AI engineer can transform your business into a beacon of innovation. Are you ready for hiring your #AIEngineer and grow your team?

Hi Folks, We are hiring for AIML Engineer position for Mumbai location, If any one interested , please share your resume on mentioned mail id. Job Description: hashtag #AI hashtag #ML Engineer Location:?Mumbai Employment Type:?Full-time Experience - 7+ Years Position Overview: We are seeking a highly skilled and motivated?AI ML?Engineer?to join our growing data science and engineering team. You will work on designing, developing, and deploying machine learning models, algorithms, and data-driven solutions to tackle complex business challenges. You will collaborate closely with data scientists, software engineers, and business stakeholders to bring machine learning-driven solutions from concept to production. Key Responsibilities Model Development:?Design, build, and implement machine learning models using various techniques such as supervised learning, unsupervised learning, deep learning, reinforcement learning, etc. Data Preprocessing:?Collect, clean, and preprocess data from various sources to make it suitable for training and evaluation. Algorithm Optimization:?Continuously improve the accuracy, efficiency, and scalability of models. Deployment:?Deploy machine learning models into production environments, working closely with software engineers to ensure scalability, reliability, and performance. Collaboration:?Work closely with data scientists, software engineers, and product managers to define requirements, test hypotheses, and deliver actionable insights. Model Evaluation:?Design and conduct experiments to evaluate model performance using appropriate metrics. Documentation & Reporting:?Write clear documentation and reports about models, experiments, and results for both technical and non-technical audiences. Research & Innovation:?Stay updated with the latest research in machine learning and AI and contribute to innovative projects. Scalability & Performance:?Optimize code for large-scale data processing and deploy models that work efficiently in production environments. Required Qualifications Education:?Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field. Experience:?6+ years of experience in machine learning or data science roles. Technical Skills: Strong Experience of machine learning algorithms (e.g., regression, classification, clustering, deep learning). Proficiency in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.). Familiarity with data processing tools (e.g., Pandas, NumPy). Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker, Kubernetes). Interested candidate can share your cv on [email protected] Gaurav PrakashUjjawal ChauhanPranjali singhAditi ShuklaAditya ChoudharySwapnil S OjhaJyotika RatnamShwetha ChoudharyManish Sinha

#Hiringalert 1. Data Scientist Experience: 1–5 Years Required Skills: Machine Learning, Deep Learning, NLP, LLM, Transformers, Generative AI, BERT, RAG Location: Gurugram Apply: Share your resume at [email protected] 2. GenAI Engineer (Persistent Systems) Required Skills: Automatic Speech Recognition (ASR), LLM, OpenAI Whisper, NLP Speech AI Models, TensorFlow, PyTorch, Python, TF Lite Noise Cancellation, Digital Signal Processing Model Quantization, Embedded Systems, RTOS Apply: Share profiles to [email protected] Subject Line: Mention relevant skills Mail Body: - Total Experience - Relevant Experience - Current CTC - Expected CTC - Current Location - Notice Period If you found this helpful, comment your thoughts and share this post with someone who might benefit from it. Follow me for more updates on Hiring alert, Business Analysis, Data Analysis, and Interview Q&A. #Datascientist #GenAI #Machinelearning #Deeplearning #NLP #ArtificialIntelligence #GenerativeAI #JobOpening #Python #AI #Technology

#HiringAlert for AI/ML and GenAI? 1. Data Scientist Experience: 1–5 Years Required Skills: Machine Learning Deep Learning NLP (Natural Language Processing) LLM (Large Language Models) Transformers Generative AI BERT RAG (Retrieval-Augmented Generation) Location: Gurugram ?? Apply: Share your resume at [email protected] 2. GenAI Engineer (Persistent Systems) Required Skills: Automatic Speech Recognition (ASR) LLM OpenAI Whisper NLP Speech AI Models TensorFlow, PyTorch Python, TF Lite Noise Cancellation Digital Signal Processing (DSP) Model Quantization Embedded Systems, RTOS ?? Apply: Share your profiles to [email protected] Subject Line: Mention relevant skills Mail Body: Total Experience Relevant Experience Current CTC Expected CTC Current Location Notice Period If you found this helpful, comment your thoughts and share this post with someone who might benefit from it. Follow for more updates on Hiring Alerts, Business Analysis, Data Analysis, and Interview Q&A. #DataScientist #GenAI #MachineLearning #DeepLearning #NLP #ArtificialIntelligence #GenerativeAI #JobOpening #Python #AI #Technology

?? ?????????????? ???? ?????????????? ???? ???????????? ?? ?? (Hybrid/Remote) ? ?????? ??????????: Data and ML Engineer ?? ????????????????:?Gwarko, Lalitpur ? ????????????????????:?1.5 years ?? ????????????:Negotiable ?? ?????????? ??????: [email protected] ????????????????????????????????: ?Collecting data from various disparate sources ?Analyzing collected data ?Visualize and communicate that information to stakeholders. ?Design and train learning models on it. ?Architect and implement the ML-ops aspect of the models---so that the model can be used in production ?Quick prototyping of products to show off how such trained models can be used. #dataengineer #mlexperts #machinelearning #itjobs

?? ?????????????? ???? ?????????????? ???? ???????????? ?? ?? (Hybrid/Remote) ? ?????? ??????????: Data and ML Engineer ?? ????????????????:?Gwarko, Lalitpur ? ????????????????????:?1.5 years ?? ????????????:Negotiable ?? ?????????? ??????: [email protected] ????????????????????????????????: ?Collecting data from various disparate sources ?Analyzing collected data ?Visualize and communicate that information to stakeholders. ?Design and train learning models on it. ?Architect and implement the ML-ops aspect of the models---so that the model can be used in production ?Quick prototyping of products to show off how such trained models can be used. #dataengineer #mlexperts #machinelearning #itjobs