85 Scikit Learn Jobs

As a Backend Developer in this role, you will be responsible for designing, developing, and maintaining backend applications using Node.js to ensure performance, scalability, and security. Additionally, you will build and integrate AI/ML models into applications for intelligent and data-driven functionality. Leveraging AWS cloud services such as Lambda, SQS, and DynamoDB will be crucial in building robust and scalable solutions. Your expertise in Kubernetes for containerization and orchestration of microservices is preferred. You will also design and implement REST APIs while adhering to microservices architecture best practices. Collaboration with cross-functional teams, including data scie...

As a highly skilled Data/AI/ML/Gen AI Scientist, you will play a vital role in creating and executing cutting-edge AI products and solutions. Leveraging your expertise in Python, cloud platforms, and various AI concepts, you will help businesses harness the full potential of AI and ML. - Develop and implement innovative AI and ML models to address intricate business challenges. - Design and construct scalable AI solutions using Python and relevant frameworks/libraries such as Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, and Huggingface. - Collaborate with diverse teams to comprehend business needs and transform them into technical solutions. - Stay abreast of the ...

- Build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. -...

As a Senior Python & AI Developer at TechMango, your role involves: - Demonstrating strong proficiency in Python and web frameworks like Django, Flask, and FastAPI. - Utilizing hands-on experience with SQL, MongoDB, and PL/SQL. - Working with GenAI, which includes AI-powered chatbot, LLM-based application, and AI Models, along with NLP & ML algorithms. - Applying expertise in ML libraries such as Tensorflow, PyTorch, or Scikit learn. - Optional experience with the PowerBI reporting tool. - Hands-on experience with AWS services or other cloud platforms like Azure and GCP. - Showcasing strong knowledge of performance tuning and problem-solving skills. Qualifications required: - Minimum of 3 ye...

As a Senior Python & AI Developer, you will be responsible for the following: - Strong proficiency in Python and web frameworks such as Django, Flask, and FastAPI. - Hands-on experience with SQL, MongoDB, and PL/SQL. - Proficiency in GenAI including AI powered chatbot, LLM based application, and AI Models, as well as NLP & ML algorithms. - Experience with ML libraries such as Tensorflow, PyTorch, or Scikit learn. - Optional experience with the PowerBI reporting tool. - Hands-on experience with AWS services or other cloud platforms like Azure or GCP. - Strong knowledge of performance tuning and problem-solving skills. Qualifications required for this role: - Minimum 5 years of experience in D...

As a data scientist, your role will involve formulating, suggesting, and managing data-driven projects to further the business's interests. You will be responsible for collating and cleaning data from various entities for later use by junior data scientists. Delegating tasks to Junior Data Scientists and monitoring their performance to ensure successful project completion will also be part of your responsibilities. Additionally, you will be selecting and employing advanced statistical procedures to obtain actionable insights, cross-validating models, and producing non-technical reports detailing project successes and limitations. Your insights will be instrumental in informing business strat...

As an experienced candidate with a minimum of 2 to 3 years of experience, Alegra Labs is looking for someone who is very familiar with Version Control (Familiar with Git GUI and Command Line), Unit Testing (TDD), CI/ CD Pipeline, and is well-versed in Open Source technologies and Linux. Key Responsibilities: - Data Analytics, Data Wrangling, Machine learning, and Data Storytelling using Python, Google Colab, Pandas, Scikit learn, Keras, Matplotlib, Dataiku, NumPy. - Proficiency in Regular Expressions (Parsers and Crawlers) and experience in using tools like iMacros & UiPath. - Familiarity with SVG, D3.js, NoSQL databases (Mongo, Firebase, Apache Storm), Vue.js, HTML5, CSS3, Bootstrap. - Expe...

URGENT HIRING || Ai Engineer LOC- BGLR,HYD,PUNE EXP-5-10Yrs CTC- 35LPA NP-Imm-15 days SHIFTS- 24*7 Shifts SKILLS- Gen Ai,Python,Node.JS,C#,HTML,Javascript,ScikitLearn,Tensorflow,Putorch,Keras,Pandas Drop your CV's at rashibimaginators@gmail.com Required Candidate profile IBM,AWS,Azure,NLTK,OpenCV,LangChain,,HuggingFace,Flas,DJango,Doker,Kubernetes,CI/CD,DeveOps

Role Overview: As a Senior Data Scientist at our company, you will be taking on the role of an Agentic AI Lead/Architect, responsible for driving the research, development, and deployment of semi-autonomous AI agents to tackle complex enterprise challenges. Your primary focus will be on designing and scaling Agentic AI solutions, hands-on development and optimization, driving AI innovation and research, strategizing for AI impact on business, and mentoring and building capabilities within the team. Key Responsibilities: - Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous pr...

As a Data Science Associate at Metyis, you will be responsible for executing data science projects from start to end. Your key responsibilities will include: - Understanding client business problems, defining analytical approaches, and developing actionable solutions. - Engaging directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. - Preprocessing and analyzing structured and unstructured data using statistical approaches. - Building and deploying predictive models, forecasting solutions, and recommendation systems. - Collaborating with engineering, product, and business teams to translate insights into outcomes. - Communicating results clearly...

**Job Description:** You will be responsible for understanding business processes and data to model requirements and create analytics solutions. Your key responsibilities will include building predictive models and recommendation engines using state-of-the-art machine learning techniques, analyzing data to discover actionable insights and patterns, and assisting the Function Head in data preparation and modeling tasks as required. **Key Responsibilities:** - Collaborate with business and IT teams for understanding and collecting data - Collect, collate, clean, process, and transform large volumes of primarily tabular data - Apply data preparation techniques like data filtering, joining, clea...

Key Responsibilities 1. Model Training & Fine-Tuning Fine-tune and train LLMs, SLMs, and VLMs (Llama, Mistral, Falcon, CLIP, BLIP, Qwen-VL, etc.). Hands-on experience with Hugging Face Transformers , PyTorch , or TensorFlow . Build and optimize model training pipelines (PEFT, LoRA, QLoRA, quantization, pruning). Prepare and manage datasets for training/fine-tuning. 2. LLM Engineering & Data Pipelines Build and manage LLM/Transformer pipelines , embeddings, tokenization, and vector search. Experience working with vector databases like FAISS, Pinecone, Weaviate, Chroma . Build RAG pipelines and implement embedding-based retrieval systems. Strong understanding of transformers and model architec...

As a Data Science Manager, you will be responsible for formulating, suggesting, and managing data-driven projects to further the business's interests. Your key responsibilities will include: - Collating and cleaning data from various entities for later use by junior data scientists. - Delegating tasks to Junior Data Scientists to ensure successful completion of projects. - Monitoring the performance of Junior Data Scientists and providing practical guidance as needed. - Selecting and employing advanced statistical procedures to obtain actionable insights. - Cross-validating models to ensure their generalizability. - Producing and disseminating non-technical reports detailing the successes an...

As a Senior Data Science Lead, your primary skills should include: - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic) - Proficiency in Python/PySpark, SAS/SPSS - Statistical analysis and computing - Familiarity with Probabilistic Graph Models, Great Expectation, Evidently AI - Experience in Forecasting (Exponential Smoothing, ARIMA, ARIMAX) - Knowledge of Tools like KubeFlow, BentoML - Expertise in Classification (Decision Trees, SVM) - Familiarity with ML Frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet - Understanding of Distance metrics like Hamming Distance, Euclidean Distance, Manhattan Distance - Knowledge of R/ R Studio In this role as the Age...

As a Machine Learning Engineer at Proximity, you will play a crucial role in building efficient, data-driven artificial intelligence systems to advance predictive automation capabilities. Your responsibilities will include: - Designing, developing, testing, and deploying machine learning models for various applications. - Collaborating with data scientists, software engineers, and product managers to develop data-driven features. - Optimizing and improving the performance of existing machine learning models. - Implementing and maintaining scalable machine learning pipelines and infrastructure. - Analyzing and preprocessing large datasets to extract valuable insights and features. - Staying u...

As an AI Engineer, your role will involve focusing on designing secure, scalable cloud solutions, implementing robust data governance frameworks, and leveraging Large Language Models (LLMs) to enhance the management and processing of unstructured data. Key Responsibilities: - Develop and implement data governance strategies tailored for unstructured data to ensure accuracy, integrity, and accessibility. - Ensure compliance with data privacy regulations and industry standards for unstructured data systems. - Manage data lineage, cataloging, and metadata for unstructured data to enhance traceability and accountability. - Define and enforce data quality rules, retention policies, and security c...

Role Responsibilities: Purpose of Role Own and be accountable for smooth and effective delivery of strategic and tactical process transformation related automation solutions as per agreed plan. Ensure the right time delivery of planned automation solutions. Ensure the right resources and capabilities are in place, with expected processes and compliance requirements are adhered to. Dimensions: a) Financial Own and manage headcount and technology implementation in their area in line with approved budget. The job holder is expected to understand the existing landscape while conceptualize the design and architecture of new technology solutions in GBO along with GBO & D&T stakeholders, thus usher...

Role Overview: As a lead resource in the GenAI team, you are expected to have 7-9 years of experience. Your expertise will be crucial in working with various operating systems such as MS Windows and Linux. Additionally, you should be proficient in languages like Python and SQL. Your role will involve deep learning using tools like TensorFlow and Keras, as well as machine learning with Pandas, NumPy, and Scikit Learn. Familiarity with DL models such as LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN, as well as ML models like Regression, Classification, Unsupervised, and Forecasting, will be essential. Experience in visualization tools like Power BI and Tableau, and working with cloud platfo...

As a Technical Architect specializing in Machine Learning and Deep Learning at HCLTech, you will play a crucial role in advancing the technological world through innovation and creativity. Your primary responsibilities will include designing and developing scalable, efficient ML/DL models for various use cases, building, training, and optimizing complex ML/DL models, implementing MLOps and Deployment practices, optimizing models, and providing mentorship and guidance to the team. Key Responsibilities: - Strong understanding of classical ML algorithms such as regression, decision trees, SVMs, Random forest, and SGBoost. - Experience in feature engineering and data preprocessing. - Hands-on ex...

• Experience on deploying shallow learning and deep learning models • Experience with Big Data Platform and cloud technologies • Building production grade Gen AI applications is a plus. • ML Design pattern, algorithm and the data structure skills

Urgent Hiring for Technology Analyst Bangalore Exp- 4-9Y Pckg- 20LPA Notice- Imm-30 days Skill-AIEngineer,Pandas,Node.Js,HTML,Javascript,Flask,Django,Docker,Kubernetes,CI/CD, Cloud Kindly drop your CV's at rashibimaginators@gmail.com or 9027310680 Required Candidate profile Skills-AI Engineer,Tensorflow,Python,Pytorch,Opencv,Scikit-Learn,Pandas,Node.Js,HTML,Javascript,Flask,Django,Docker,Kubernetes, CI/CD, Cloud

As an engineer specializing in Artificial Intelligence / Machine Learning with 2-8 years of experience, your role will involve the following: - Possess a strong Graduate/Ph.D. level degree in Computer Science or another engineering discipline from top tier schools. - Demonstrate 8-12 years of relevant experience in live industry projects at an enterprise level. - Showcase expertise in Python Programming, including TensorFlow, Sci-kit Learn, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning with a proficiency rating of 8/9 out of 10. - Exhibit proficiency in manipulating data using Pandas/Numpy and other Python libraries to support data munging and cleansing activit...

Role Overview: You will be responsible for utilizing your experience as a Data Scientist to build and deploy Machine Learning and Deep Learning models, with a focus on problem-solving skills. Your expertise will be crucial in developing Data Science use cases with significant impact for the business. Key Responsibilities: - Utilize deep learning-based algorithms for image and text data, as well as ML algorithms for structured datasets. - Demonstrate proficiency in computer vision libraries like OpenCV and Pillow, and NLP libraries such as Huggingface and Spacy. - Conceptualize and implement various deep neural network architectures using Python with Pytorch and Tensorflow. - Apply strong mat...

Role Overview: You will be a part of the Global Business Operations (GBO) team, responsible for providing strategic, financial, and business services across various markets worldwide. Your role as a Lead Developer for Process Automations will involve owning and ensuring the smooth delivery of tactical process transformation automation solutions. You will be a key member of the Reporting Automation Centre of Excellence (COE) and will work on designing and deploying custom automation solutions in Python. Additionally, you will collaborate with partners across different geographies and cultures to drive automation initiatives successfully. Key Responsibilities: - Own and be accountable for deli...

As a Data Scientist, you will play a crucial role in utilizing your expertise in various tools and techniques to derive insights from data. Your primary responsibilities will include: - Utilizing Classification techniques such as Decision Trees and SVM, Distance metrics like Hamming, Euclidean, and Manhattan Distance, as well as Forecasting methods like Exponential Smoothing, ARIMA, and ARIMAX. - Implementing ML Frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet for model development. - Conducting Statistical analysis and computing using tools like Python, PySpark, R, R Studio, SAS, and SPSS. - Applying Regression models like Linear and Logistic Regression, and c...