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Oneture Technologies

Senior Data Scientist

Reposted 2 Months Ago
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In-Office
Navi Mumbai, Thane, Maharashtra, IND
Senior level
In-Office
Navi Mumbai, Thane, Maharashtra, IND
Senior level
Lead design, development, and deployment of scalable ML and deep learning models for time series forecasting. Build end-to-end data pipelines on AWS, collaborate with cross-functional teams, and drive model monitoring, optimization, and production improvements.
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Job Title: Senior Data Scientist
Location: Mumbai / Bengaluru
Experience: 2–4 Years
Employment Type: Full-Time
About Oneture Technologies
Oneture Technologies is a cloud-first digital solutions company helping businesses solve complex challenges through data, cloud, AI, and product engineering. We build scalable, intelligent solutions that translate technology into measurable business outcomes.
Role Overview
We are looking for a hands-on Senior Data Scientist with strong foundations in Machine Learning, Deep Learning, Python, and AWS cloud services. The ideal candidate should have practical experience developing ML models, evaluating their performance, and deploying them into production environments.
You will work on real-world business problems, collaborate with cross-functional teams, and help build reliable, scalable, and data-driven solutions. We value strong fundamentals, problem-solving ability, and practical implementation experience over familiarity with any single algorithm or use case.
Key Responsibilities
  • Design, develop, train, and optimize machine learning and deep learning models using Python and relevant ML frameworks.
  • Perform data preprocessing, exploratory data analysis, feature engineering, model selection, and performance evaluation.
  • Apply appropriate ML algorithms and techniques to solve business problems, selecting models based on data characteristics and project requirements.
  • Deploy trained models into production using suitable APIs, model-serving frameworks, or cloud-based services.
  • Work with AWS services, including SageMaker and S3, to support model development, deployment, and data workflows.
  • Collaborate with engineering, data, and business teams to translate requirements into effective ML solutions.
  • Monitor model performance, troubleshoot issues, and contribute to model optimization and continuous improvement.
  • Follow good coding practices, maintain documentation, and support scalable and maintainable ML implementations.
Required Skills & Experience
  • 2–4 years of hands-on experience in Data Science, Machine Learning, or a related field.
  • Strong proficiency in Python, with practical experience using NumPy, Pandas, and Scikit-learn.
  • Good understanding of core ML concepts, including supervised and unsupervised learning, feature engineering, model evaluation, overfitting, and model validation.
  • Practical experience developing and evaluating ML models; familiarity with deep learning frameworks such as TensorFlow or PyTorch is desirable.
  • Hands-on experience with AWS cloud services, particularly SageMaker and S3; familiarity with Athena and Redshift is an advantage.
  • Understanding of model deployment, inference, and the transition from experimentation to production.
  • Strong analytical thinking, problem-solving skills, and the ability to explain technical concepts clearly.
Preferred Qualifications
  • Experience deploying and maintaining ML models in production environments.
  • Familiarity with MLOps practices, model monitoring, model drift, and performance optimization.
  • Exposure to REST APIs, Docker, CI/CD, or model-serving frameworks.
  • Familiarity with big data technologies such as Apache Spark.
  • Exposure to time-series forecasting or other specialized ML use cases is an advantage, but not mandatory.
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or another relevant quantitative discipline.
Location & Flexibility
The role is based in Mumbai or Bengaluru. Candidates should be open to travelling or relocating to the other location, or to other locations as required by business needs. Oneture will take care of applicable travel and accommodation arrangements for such requirements.
What We're Looking For
  • We are looking for someone who understands the fundamentals, can independently contribute to ML development, takes ownership of their work, and is keen to build and deploy solutions that create real business impact.
About Oneture Technologies
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.

Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions— from ideation,
project inception, planning through deployment to ongoing support and maintenance.

Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for
them.
HQ

Oneture Technologies Mumbai, Maharashtra, IND Office

Mumbai, India

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