Data Scientist – Python Brandsmashers Technology

0.0 - 2.0 years

0 Lacs

Govindpura, Bhopal, Madhya Pradesh

On-site

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Job Title: Data Scientist – Python Location: Bhopal (Onsite) Experience: 1 to 3 Years Employment Type: Full-time About Us: At Brandsmashers Tech , we’re passionate about leveraging data to transform industries and empower decision-making. We work across domains like e-commerce, healthcare, agriculture, and education, delivering scalable, data-driven solutions. Join us and be part of a team shaping the future with technology and insights. Job Summary: We are looking for a Data Scientist proficient in Python to join our analytics and AI team. The ideal candidate will have hands-on experience with data preprocessing, statistical analysis, machine learning, and data visualization. You’ll play a key role in deriving actionable insights from data and developing intelligent solutions that drive business value. Key Responsibilities: Analyze large datasets to discover trends, patterns, and insights. Develop, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Perform data cleaning, transformation, and feature engineering. Design and implement predictive models and algorithms. Visualize data insights using tools like Matplotlib, Seaborn, Plotly, or Power BI. Collaborate with cross-functional teams including engineering, product, and marketing to integrate data science solutions. Communicate findings to stakeholders through presentations and reports. Stay updated with latest advancements in data science and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. Experience with ML frameworks like TensorFlow, Keras, or PyTorch. Knowledge of SQL and data querying tools. Experience with model deployment is a plus (e.g., using Flask, FastAPI). Excellent problem-solving skills and analytical mindset. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of big data tools (Spark, Hadoop) is a plus. Understanding of MLOps and automated pipelines. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Weekend availability Ability to commute/relocate: Govindpura, Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Data science: 2 years (Required) Language: English (Preferred) Work Location: In person Expected Start Date: 02/05/2025

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ML/AI Developer Novisync

0.0 - 1.0 years

0 Lacs

Visakhapatnam, Andhra Pradesh

On-site

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Location: Vishakapatnam Andhra Pradesh India Duration: 1 year Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability 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 Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Stay up to date with developments in the machine learning industry Skills Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Familiarity with data structures, data modeling, and software architecture Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency

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