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Machine Learning Job Vacancies in Pune

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Data Scientist Jobs For B.E Freshers

Nexgen

  • 0 - 1 yrs
  • 7.0 Lac/Yr
  • Pune
Machine Learning Python Data Management AIML Data ScientistEngineer
AI/ML Data Scientist/Engineer FreshersResponsibilities Support development and validation of machine learning and statistical models for business use cases Assist in building forecasting and predictive models using established techniques and libraries Contribute to Generative AI use cases including prompt development, evaluation, and basic experimentation with LLMs Support Retrieval-Augmented Generation (RAG) workflows including document ingestion, embeddings, and retrieval Perform data preparation, feature engineering, and exploratory data analysis Work with structured and unstructured data from enterprise sources and AI platforms Collaborate with software engineers to integrate models into applications and pipelines Help document models, assumptions, results, and data pipelines Monitor model performance and assist with troubleshooting and improvements Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units. Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions. Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions. Continually monitor and evaluate the effectiveness of AI/ML models and forecasting techniques, making necessary adjustments to optimize performance. Stay abreast of the latest AI/ML trends and technologies, identifying opportunities for innovation and improvementEducation & ExperienceBachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Required Skills Proficiency in Python and familiarity with data science libraries (pandas, NumPy, scikit-learn) Basic understanding of machine learning algorithms and statistical modeling techniques Experience working with SQL and relational or NoSQL databases Exposure to cloud or data platforms such as Databricks or AWS Familiarity with version control tools such as Git Ability to clearly communicate data insights and document work Experience working in agile or Scrum-based teams
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AI/ML Engineer

Kasa Talent Pvt Ltd

  • Fresher
  • 4.0 Lac/Yr
  • Pune
Data Analysis C++ Python LLM AWS Google Cloud Azure AI SQL Data Cleaning
We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.
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Python Genai

PL Info Consultancy & Services

  • 8 - 12 yrs
  • 15.0 Lac/Yr
  • Pune
Python AI ML LLMs RAG Pipelines Vector Databases Databricks PySpark SQL AWS CI CD Agile Testing
We have vacant of 4 Python Developer Jobs in Pune, Experience Required : 8 Years Educational Qualification : B.E Skill Python AI/ML, LLMs, RAG pipelines, vector databases, Databricks, PySpark, SQL, AWS, CI/CD, Agile Testing etc.
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SR. AI Engineer

Sfhawk Solutions Pvt Ltd

  • 4 - 10 yrs
  • Baner Pune
AI Chatbots AI Agents Llamalndex RAG-based Solutions Chatbot Architectures RAG Pipelines AI ML Models Langchain Prompt Engineering Python GenAI APIs LLMs Embedding Models
Role Overview:InnovaPoint is seeking a dynamic Senior AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role is ideal for a self-driven technologist with deep expertise in AI/ML and a passion for building intelligent systems such as AI chatbots, agents, automation tools, and recommendation engines.You will be responsible for transforming business challenges into scalable AI solutions while also supporting strategic conversations about how AI can reshape services and operations.Responsibilities: Design, build, and deploy AI/ML models, AI chatbots, and custom AI agents Work with LLMs (OpenAI, Anthropic, Mistral) and frameworks like LangChain or LlamaIndex Develop prompt engineering and RAG-based solutions using vector databases Integrate AI capabilities into web applications, internal tools, and client platforms Optimize and monitor model performance in production environments Collaborate with frontend/backend developers and DevOps for AI solution delivery Research and experiment with the latest in GenAI, NLP, and multimodal AI systems Maintain AI best practices, documentation, and model version controlRequired Skills: Strong programming skills in Python and experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Hands-on experience with GenAI APIs (OpenAI, Claude, etc.) Solid grasp of LLMs, chatbot architectures, RAG pipelines, and embedding models Experience deploying models in cloud environments (AWS/GCP/Azure) Knowledge of vector stores, memory modules, and LLM app frameworks Bonus: familiarity with Streamlit, Gradio, or other rapid AI prototyping toolsQualifications: B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field 4+ years of software development experience, with 5+ years focused on AI/ML/GenAI
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Looking For ML Engineer

The Supreme Consultancy

Machine Learning Data Analysis Python ML Engineer Data Science Data Analyst Problem Sloving Deep Learning Deep Learning Engineer
Mandatory Criteria (Can't be neglected during screening) : Looking for Only BTech and BE candidates. Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer. Candidate must have Coding experience in Python. Need candidates with atleast 1-2years of ML experience. Candidate should have Good Experience with ML models and ML algorithms. Need Experience with statistical modelling of large data sets. Looking for Immediate joiners or max. 30 days of Notice Period candidates. The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered. Kindly note Salary bracket will vary according to the exp. of the candidate - - Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.What You will do: Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Use Excel to perform analytics on large amounts of data Understand, model and build to bring actionable business intelligence out of data that is available in different formats Work with data engineers to design, build, test and monitor data pipelines for ongoing business operationsBasic Qualifications: Only BTech and BE candidates. Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in PythonNice to have Qualifications: Experience with wide variety of tools used in ML Experience with Deep learningBenefits: Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including a top up insurance for COVID).
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Data/ML Platform Engineer

Onactive

Python SQL ML Docker AWS Cloud Engineer
Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
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AIML Engineer

Optimeyes

  • 6 - 12 yrs
  • Pune
Deep Learning Machine Learning Python Java
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning.
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IT Trainer

Vijaya Management Services

  • 2 - 8 yrs
  • 5.0 Lac/Yr
  • Pune
Ava Python Big Data Technologies Hadoop Spark PiSpark Kafka Airflow Machine Learning Deep Learning Tableau Power BI
Training on Java, Python, Big data technologies, Hadoop, Spark, PiSpark, Kafka, Airflow, Machine Learning, Deep learning, Tableau, Power BI, TableauMin Experience: 2 to 3 years of training experience.
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ML Engineer

Rivendell Technologies Inc

Machine Learning ML Engineer
***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
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Java Back End Developer

Vriba

Artificial Intelligence Developer Machine Learning Work From Home
a) Machine learning model integration b) AI algorithm implementationc) Data pre-processingd) AI model deploymente) AI system testingf) Hands on experience with programming languages like Python, Java, Ruby and PHPg) Build reusable code and libraries for future useh) Participate in the entire application lifecycle, focusing on coding and debuggingi) Knowledge of machine learning concepts for advanced applications involving model fine-tuning or customization.j) Basic understanding of NLP concepts like text pre-processing, tokenization, stemming/lemmatization, and language models.
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Corporate Trainer

The Magic Data

Java Full Stack Software Testing Life Cycle Machine Learning Python Trainer Big Data Robotic Process Automation RPA Developer Azure Deep Learning Corporate Trainer
We are looking for a trainer who can conduct training in any one or more of the topics mentioned below:1. Java Full Stack2. Software Testing3. Machine Learning (Python)4. Robotic Process Automation (RPA)5. Big Data
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Business Analyst

Billiton Services

  • 5 - 8 yrs
  • Pune
Business Analysis Hadoop HBase Hive Pig AI ML CNN RNN ARIMA SARIMA Automotive Functional Domain Flume Sqoop Oozie SQL Logistic Regression Linear Regression Time Series
To serve as advisor to senior business management on business Data Modelling strategies To understand technology product and vendor strategies, products, and customer preferences to deliver prognostics-based solutions Business data analysis and service delivery, particularly with respect to the use of data, and trends and directions Research and develop statistical learning models for data collected from vehicle during Prognostics trials To collaborate with product management and engineering departments to understand company needs and devise possible solutions To establish and maintain contacts within business units to understand business activities and business drivers, business requirements, solutions strategies and alternatives, etc., being considered and/or implemented To keep up-to-date with latest technology trends To communicate results and ideas to key decision makers Ongoing research and assessment of new analysis approaches for potential use within the Enterprise To implement new statistical or other mathematical methodologies as needed for specific models or analysis To optimize joint development efforts through appropriate database use and project design Data Model Development/Programming within data science. It will form the basis of exploring, analysing and visualising data. Translate complex functional and technical requirements into detailed design. To demonstrate abilities to derive, define, and explicitly represent various artefacts within The Enterprise Framework To understand the meanings and relationships between various models To develop and maintain project level and Enterprise level model consistency and integration To maintain security and data privacy. Data Model Performance/Accuracy improvement Identify valuable data sources and automate collection processes To undertake pre-processing of structured and unstructured data To Analyse large amounts of information to discover trends and patterns
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Python Trainer

SSP Technology

  • 1 - 5 yrs
  • 2.5 Lac/Yr
  • Akurdi Pune
Python Trainer Data Scientist Machine Learning Database Developer Frontend Developer
SSP Technology have urgent opening for Python Trainer Freshers as well as for Experience Candidates to enhance their careers by doing Job in Reputed Mid-Level Company.
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Data Scientist

CompuSoft Integrated Solutions

Machine Learning Statistics Data Science Python Artificial Intelligence Work From Home
Requirements:Knowledge of Data Mining and Machine Learning.Proficient in statistical design of experiments (factorial, response surface modeling, Plackett-Burman, central composite designs, Box-Behnken, etc.) High analytical and problem solving skills. Degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Knowledge of the business and the sector in which he/she is going to work.Degree in Masters of Science in Computer Science, Math or Scientific Computing preferred
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RPA Developer

FossGen Technologies Private Limited

  • 0 - 2 yrs
  • Pune
BluePrism UI Automation UI Path C++ Java Python NET Machine Learning Artificial Intelligence SQL NoSQL Problem Solving
Practicing RPA and IQ Bots development Projects.Help execute bots and support existing implementations.Learn and assist the development team on real world projects.Develop ability to deliver end to end automated solutions.Setting up, testing and monitoring automated workflows to ensure that business processes function at optimum efficiency without risk of error.Ensuring quality automation using Quality Assurance (QA) processes and preventing any potential bugs.Monitoring and maintaining automation Post-Implementation and resolving any potential issues to ensure smooth business Operations.Mastery of automation tools such as BluePrism,UI Automation or UI Path.Proficiency in programming languages such as C, C++,Java, Python or NETBasic knowledge of machine learning(ML) and Artificial intelligence (AI)Experience with databases such as SQL and NoSQLStep up approach on assigned development tasks.Problem Solving skillsAttention to detail.Excellent written and verbal communication.
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Data Scientist

P.S International HR Consultants

  • 3 - 6 yrs
  • Pune
Natural Language Processing Data Analyst Machine Learning Walk in
Responsibilities In-depth data analysis: Extract data to manipulate/calculate/format/combine intopresentable reports, charts, and graphs. Analyze and interpret data to find outliers, understand root cause, business impact, correlations/discrepancies, and proposechanges/alternate solutions.Discover patterns/root causes, and generate insights to drive product enhancements.Bring together disparate data sources to create a complete analysis.Analyze and evaluate the quality of data used for model training and testingCreate and present proposals and results in an intuitive, data-backed manner, alongwith actionable insights and recommendations to drive business decisions.Collaborate with other data scientists and engineers on data collection and featuredesign efforts across teams.Communicate results to diverse audiences through effective writing and datavisualizations (BI reports and Dashboards).Desired Skills Solid experience with Natural Language Processing (NLP).Text Extraction from various sources (MS Word, plain text files, pdf files,html pages, etc.), Text Cleaning, Text Pre-Processing, Tokenization, POStagging,NER,DependencyParsing,CoreferenceResolution,FeatureVectorGeneration (binary, count, tf-idf, etc.), word2vec, doc2vec, glove, RAKE,document similarity (Cosine, Jaccard, etc.),fuzzy text matching, LexicalandSemantic Information ExtractionUnderstanding of various NL constructs like Parts of Speech, Sentencestructures, Subject Verb Object relationships, word dependencies(ROOT, compound, etc.)Strong expertise in Python.Expert-level skills with packages like NLTK, spaCy, genism, Pattern,TextBlob,Vocabulary,StanfordCoreNLPPythonwrappers.Textextractiontools like PDFMiner, Apache Tika with Python, PyPDF2, etc. pandas,sklearn, numpy, xgboost, matplotlib, keras, etc.Expertise in Command Line usage (e.g., Bash), and SQLRobust knowledge of statistical modelling and machine learning techniquesTechniques: text clustering (k-means,
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IT Trainer - Python/Java/Web Development/Data Science

Itvedant Education Pvt. Ltd

Python Trainer Data Science Trainer Java Trainer Machine Learning Trainer IT Trainer IT Faculty
Roles and ResponsibilitiesJob DescriptionContribute to all phases of the development life-cycle of the students and train a dynamic team of students.Should possess strong knowledge of Python and Machine learning along with a passion for Artificial Intelligence.Faculty who are Excellent in any of the programming languages.Faculty who are ready to upgrade are the idle candidates.Should stay up-to-date with the latest development in the field.Facilitating the student's available resources such as curriculum, data, hardware, etc.Upgrading the students knowledge quality by taking them through the important functionalities of Python and Machine Learning as per the syllabus.Sharply train the students minds in analyzing the Machine Learning Algorithms that could be used to solve the given problems.Train and guide the students to analyze the errors and design strategies to overcome them.Lead learning enhancement through developing assignment and assessment modules, integrate the use of advanced technology for upscale training quality, and develop plans to track and monitor the progress of students.Should be capable of completing the assigned module in the given time.Conduct regular research for further enhancement of curriculum on a regular basis.Should be able to communicate and connect with students in an effective way.Should be committed to delivering best-in-class training and a willingness to enrich careers
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Data Scientist

GSN Solutions LLC

  • 7 - 13 yrs
  • Pune
Statistics Python Machine Learning Business Intelligence Tableau SQL Programming Big Data Hadoop Private API JSON YAML XML Hypotheses Validation Tests Work From Home
What we expect? Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc. Hands on experience with one of these programming languages: Python / R Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various algorithms and their use cases Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) Hands on experience in using SQL programming with Microsoft SQL Server / MySQL Familiarity in using Big Data / Hadoop (or equivalent) Familiarity with a wide variety of data sources, including public or private APIs and standard data formats, like JSON, YAML and XML Ability to design and implement Validation Tests, Hypotheses with supporting documentation Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint Ability to work independently with minimum input or assistance Ability to effectively communicate with all levels of audience business and technical Good in spoken and written English languageResponsibilities Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets Establish best practices for collecting data using analysis tools, and interpreting data Process, cleanse, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner using appropriate medium Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-the-art methods to derive meaningful insights in an appropriate format Recommend tools, techniques, and practices across organization to enhance knowledge Create complex predictive models using ML techniques and relevant tools
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ML Engineer

Rivendell Technologies Inc

Machine Learning ML Engineer
***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.
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