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7 Scikit Learn Jobs

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2.0 - 3.0 years

4 - 5 Lacs

Mumbai

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Job role Job Requirements Personality traits To work on heavy data extraction, generation of reports, visualising data and putting analysis in discussed formatSQL & Advanced python knowledge with proven track record in python scripting using Numpy, pandas, seaborn, matplotlib, scikit learn etc Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills Model building like classification, regression, recommendation systems etc SAS EG/Eminer knowledge is a plusNumerical skills - will need to acquire data and use it to target selected groups, as well as analyse the success or otherwise of campaigns The role holder will be responsible for data support, segmentation/scorecards, analytics and customer insights Past experience with deployment on cloud systems & API integration is preferredAt least 2-3 years of experience with data handling roles Must be excellent with Data visualisation He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind Should have an active interest in data analysisHighly logical individuals with adaptable trait towards new technologiesAdhere to documented process and compliance requirements, assisting seniors on diversified projectsMotivated and determined candidate with a zeal to handle responsibilities and take initiativesStrong communication skills to effective interaction with business stakeholders

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7.0 - 9.0 years

8 - 12 Lacs

Bengaluru

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Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

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2.0 - 7.0 years

10 - 20 Lacs

Bengaluru

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Must Have Skills Good Programming Knowledge - Python, C++ Design: OOAD Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras, Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in Machine Learning (ML) Deep Learning (DL) Model Tuning, Optimization & Verification Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Good to have: Regression problem solving AI related certification - NLP / Vision / Audio / IOT Concepts of GPU based model training Open source NLP toolchain Hands on experience in NLP, NLU, NLG tasks Preferred candidate profile Total Exp - 2 to 5 Years Notice Period - Immediate Location -Bangalore Candidate should be ok to work from office.

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0.0 - 1.0 years

3 - 4 Lacs

Noida

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Key Responsibilities: Assist in the design, development, and deployment of Python-based AI/ML models and applications. Work with senior developers and data scientists to preprocess data, train models, and evaluate performance. Write clean, scalable, and efficient Python code for automation, data analysis, and AI pipelines. Participate in brainstorming sessions, code reviews, and team meetings. Document project requirements, processes, and results. Required Skills: Strong foundation in Python programming. Basic understanding of Machine Learning concepts and algorithms. Familiarity with libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. Good analytical and problem-solving skills. Willingness to learn new technologies and take initiative. Good to Have: Exposure to deep learning frameworks like TensorFlow or PyTorch. Experience with Jupyter Notebooks, Git/GitHub, or any version control system. Academic projects or internships related to AI/ML or Python development. Eligibility Criteria: B.E./B.Tech/MCA/M.Sc. in Computer Science, IT, or related field (2023/2024 pass-out preferred). Strong academic track record with a passion for AI and software development. What We Offer: Hands-on experience on real-world AI/ML projects. Mentorship and training by experienced professionals. Dynamic and collaborative work environment. Career growth opportunities in AI and software development domains.

Posted 3 weeks ago

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2.0 - 5.0 years

12 - 15 Lacs

Hyderabad

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Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

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4.0 - 9.0 years

15 - 20 Lacs

Bengaluru

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Role & responsibilities Hands on Experience (4 years or above) in the following :- Proven experience in AI/ML platforms in developing learnable models, knowledge in C MUST HAVE hands on experience in NVIDIA CUDA-X AI framework, to train complex machine learning models much faster and proficient in C Knowledge of R tool is an added advantage, knowledge on C and C++ is a must Python packages and libraries like Pandas, NumPy, Matplotlib and Scikit learn . Exposure to CV-based applications. in creating secure RESTful web services in XML and JSON in providing scalable solutions using Devops using CI/CD tools (Jenkins / Hudson) using various Version Control Systems (SVN, Git, GitHub, Gitlab, Bitbucket etc) using tools like JIRA, Redmine etc in following Agile Methodologies/ Scrum Preferred candidate profile Work with cross-functional teams like R&D, Sales, IT Infrastructure and Customer Service etc. in understanding the pain points and work with R&D team to take up the implementation. Actively research industry wide framework/ platforms and select the right one to integrate them for the Bluebird use cases Perks and benefits Very Competitive Salary Hybrid Model Work from home / only one day to office/week Medical Insurance for you & your family Performance Incentive/ Bonus For 4 yrs up to 15 LPA, for 10yrs up to 35 LPA

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4 - 9 years

15 - 25 Lacs

Bengaluru

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Data Scientist Experience: 4 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Python Pandas, Scikit Learn, TensorFlow, Pytorch, Neural Networks, Transformers, LLMs Good to have skills : Docker, Kubernetes TatvaCare (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description: Position: Data Scientist Business Division: AI Labs Reporting To: Chief Technology Officer Location: Bangalore Company Website: www.tatvacare.in TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. TatvaCare is a full-spectrum technology solution that solves across various aspects of both patients and doctors needs and their interactions to significantly improve health positives. Guided by a fundamental principle of connecting the patient care continuum to ultimately provide positive outcomes. As a digital system TatvaCare empowers both healthcare professionals and individuals with chronic conditions to create healthy habits leading to positive health outcomes. Role Overview Responsible for designing and implementing machine learning models to solve critical business challenges, including tasks such as classification, regression, clustering and recommendation systems. Develop and manage end-to-end data science pipelines, handling data preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production systems and ensure alignment with business objectives. Monitor and improve model performance continuously, staying up to date with the latest advancements in AI/ML to optimize solutions. Work with a variety of data types, including structured datasets and unstructured data (text, images, voice, sensor data), to develop robust machine learning models. Ensure that all models are scalable, accurate, and provide actionable insights, delivering measurable business value. Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: TatvaCare is transforming care practices to deliver positive health outcomes. TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. Our product portfolio includes TatvaPractice, an advanced EMR and Knowledge platform for healthcare professionals, and MyTatva, a Digital Therapeutics application designed to manage chronic diseases like Fatty Liver, COPD, and Asthma. Through these initial solutions and more to come, we aim to bridge the gap in healthcare, connecting professionals and patients. We are committed to revolutionizing healthcare in India, promoting efficient, patient-centric care, and optimizing outcomes across the healthcare spectrum.] About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Posted 1 month ago

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Exploring scikit-learn Jobs in India

As the field of data science continues to grow rapidly, the demand for professionals with expertise in tools like scikit-learn is also on the rise in India. Companies across various industries are looking for skilled individuals who can leverage machine learning algorithms for predictive modeling, data analysis, and more. If you are a job seeker interested in scikit-learn roles, this article will provide you with valuable insights into the job market in India.

Top Hiring Locations in India

  1. Bangalore
  2. Mumbai
  3. Delhi NCR
  4. Hyderabad
  5. Pune

Average Salary Range

The average salary range for scikit-learn professionals in India varies based on experience levels. Entry-level positions may offer salaries starting from INR 6-8 lakhs per annum, while experienced professionals can earn upwards of INR 15-20 lakhs per annum.

Career Path

In the field of scikit-learn, a typical career path may involve starting as a Junior Data Scientist or Machine Learning Engineer, progressing to roles like Senior Data Scientist, Lead Data Scientist, and eventually reaching positions like Principal Data Scientist or Data Science Manager.

Related Skills

In addition to expertise in scikit-learn, professionals in this field are often expected to have knowledge of Python programming, statistics, data visualization tools like Matplotlib or Seaborn, and a solid understanding of machine learning concepts.

Interview Questions

  • What is scikit-learn?
  • Explain the difference between supervised and unsupervised learning. (basic)
  • How do you handle missing values in a dataset when using scikit-learn? (medium)
  • What is cross-validation and why is it important in machine learning? (medium)
  • Can you explain the difference between classification and regression algorithms in scikit-learn? (medium)
  • How would you evaluate the performance of a machine learning model in scikit-learn? (medium)
  • What is the purpose of hyperparameter tuning in machine learning? (medium)
  • Explain the concept of overfitting and how to prevent it in scikit-learn. (medium)
  • What are some common clustering algorithms available in scikit-learn? (medium)
  • How can you handle categorical variables in a dataset before applying machine learning algorithms? (medium)
  • What is the purpose of feature scaling in machine learning? (medium)
  • Explain the bias-variance tradeoff in machine learning. (advanced)
  • What are some techniques for feature selection in scikit-learn? (advanced)
  • How does the Random Forest algorithm work in scikit-learn? (advanced)
  • Can you explain the difference between Bagging and Boosting algorithms? (advanced)
  • What is the role of regularization in machine learning? (advanced)
  • How do you deal with imbalanced datasets in scikit-learn? (advanced)
  • Explain the working of Support Vector Machines (SVM) in scikit-learn. (advanced)
  • What is the purpose of dimensionality reduction in machine learning? (advanced)
  • How can you interpret the results of a Confusion Matrix in scikit-learn? (advanced)
  • What is the K-Nearest Neighbors (KNN) algorithm and how does it work in scikit-learn? (advanced)
  • Describe the Naive Bayes algorithm and its applications in scikit-learn. (advanced)
  • Can you explain the concept of ensemble learning and its importance in machine learning? (advanced)
  • How would you handle a situation where a machine learning model is underfitting? (advanced)

Closing Remark

As you prepare for scikit-learn roles in India, make sure to enhance your skills, stay updated with the latest trends in the field, and approach interviews with confidence. With the right combination of knowledge and experience, you can build a successful career in the exciting world of data science and machine learning. Good luck!

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