RiseFlake
NexusLink Services

Associate Data Scientist (R)

NexusLink Services

Remote 2-3 yrs Posted 12 days ago 1 openings
Not disclosedFull-timeRemoteAI/ML EngineerData ScientistInformation Technology (IT)

About this job

NexusLink Services India Pvt Ltd. is actively seeking a highly skilled and passionate Data Scientist to join our expanding Artificial Intelligence and Machine Learning (AI/ML) team. This pivotal role involves working on cutting-edge, data-driven solutions and contributing to innovative projects that leverage the power of advanced analytics. As a Data Scientist, you will be instrumental in developing, deploying, and optimizing machine learning models to solve complex real-world challenges.

We are looking for an individual who thrives in a collaborative, innovation-driven environment and is eager to explore emerging AI technologies. This is an exceptional opportunity for an experienced Data Scientist to significantly impact our products and services while advancing their career within a forward-thinking organization.

Key Responsibilities

  • Develop, implement, and validate robust machine learning models using various statistical and predictive techniques, including regression, classification, and clustering.
  • Conduct in-depth data analysis, interpret complex datasets, and derive actionable insights to inform strategic decisions and improve system performance.
  • Utilize and refine feature engineering techniques to optimize model accuracy and efficiency across diverse applications.
  • Implement and experiment with Deep Learning frameworks such as TensorFlow and PyTorch for advanced AI projects.
  • Contribute to the entire lifecycle of model development, from data exploration and preprocessing to deployment and ongoing monitoring, with a basic understanding of MLOps principles.
  • Research and apply emerging Artificial Intelligence concepts, including Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP), to create innovative solutions.
  • Collaborate closely with cross-functional teams, including engineers and product managers, to translate business requirements into technical solutions and deliver high-quality, impactful data products.
  • Ensure the integrity, quality, and reliability of data used for model training and evaluation, maintaining high standards for analytical rigor.

Requirements

  • A minimum of 2-3 years of hands-on experience as a Data Scientist or in a similar AI/ML-focused role.
  • Strong proficiency in Python, coupled with extensive experience using key data science libraries such as Pandas, NumPy, and Scikit-learn.
  • Comprehensive understanding of Machine Learning fundamentals, Statistics, and Data Analysis principles.
  • Demonstrated experience with various machine learning algorithms, including Regression, Classification, Clustering, and Predictive Modeling.
  • Solid knowledge of SQL for data manipulation and querying, along with expertise in Feature Engineering and Model Evaluation methodologies.
  • A foundational understanding of Deep Learning concepts and practical exposure to frameworks like TensorFlow or PyTorch.
  • Familiarity with modern Artificial Intelligence paradigms, including Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP).
  • Basic understanding of Model Deployment strategies and MLOps practices is highly desirable.
  • Exceptional analytical and problem-solving skills, with a keen ability to translate complex data into clear, actionable insights.

What We Offer

  • Opportunity to work on challenging and impactful AI/ML projects that drive real-world solutions.
  • A dynamic and innovation-driven environment where you can explore and contribute to emerging AI technologies.
  • Significant career growth and professional development opportunities within a supportive and collaborative team.
  • The chance to be part of a forward-thinking company committed to leveraging data for competitive advantage.
  • A culture that encourages continuous learning and the application of cutting-edge data science methodologies.

Eligibility

Professionals • 2-3 years of experience

Skills

NumPyPandasPyTorchPythonSQLScikit-learnTensorFlow

Perks & facilities

Certificate / Experience LetterLaptop / Equipment ProvidedStipend / SalaryTraining and Mentorship

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