AI/ML Engineer

Remote, India
Full Time
Products
Mid Level
Our Product entity is seeking a highly skilled and experienced Senior Data Scientist specializing in Machine Learning and AI to join our dynamic team. The ideal candidate will have a strong background in advanced data analysis, machine learning, and artificial intelligence, with the ability to apply these skills to solve complex business problems. This role involves leading data-driven projects, developing innovative solutions, and contributing to the strategic direction of our data science initiatives.

Key Responsibilities:
Machine Learning and AI Development:
  • Design, develop, and deploy NLP and LLM models to address business challenges and improve operational efficiency.
  • Develop and fine-tune models for tasks such as text classification, sentiment analysis, named entity recognition, language translation, and more
  • Prepare and preprocess large volumes of text data, including data cleaning, tokenization, stemming, and other text processing tasks.
  • Understand requirements and participate in developing quality code.
  • Familiarity with leveraging and modifying open-source libraries to build custom frameworks.
  • Experiment with various machine learning algorithms and tools to optimize model performance.
Data Analysis and Interpretation:
  • Conduct advanced data analysis to extract actionable insights from large and complex datasets.
  • Apply statistical methods and machine learning techniques to interpret data and provide meaningful recommendations.
Project Leadership:
  • Lead data science projects from ideation to implementation, ensuring timely delivery and alignment with business objectives.
  • Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate machine learning models into production systems.
Research and Innovation:
  • Stay current with the latest advancements in machine learning, AI, and data science.
  • Conduct research and experimentation to develop innovative solutions and improve existing methodologies.
Communication and Reporting:
  • Communicate complex data insights and model results to non-technical stakeholders clearly and effectively.
  • Prepare detailed reports, visualizations, and presentations to showcase findings and recommendations.                
Skills and Qualifications:
Education and Experience:
  • Master’s in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as an NLP/ML engineer, with a strong focus on NLP techniques and model development.
  • 5+ years of experience in data science, with a focus on machine learning and AI applications.
  • Proven track record of successfully delivering machine learning projects in a production environment.
Technical Skills:
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and others.
  • Advanced knowledge of statistical analysis, data mining, and predictive modelling techniques.
Data Handling and Processing:
  • Expertise in handling and processing large datasets using tools such as SQL, Hadoop, or Spark.
  • Familiarity with data visualization tools like Tableau, Power BI, or similar.
Analytical and Problem-Solving Skills:
  • Exceptional analytical skills with the ability to think critically and solve complex problems.
  • Strong aptitude for data-driven decision-making and strategic thinking.
Project Management
  • Proven experience in leading data science projects and managing project timelines.
Communication and Collaboration:
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a cross-functional team environment and communicate technical concepts to non-technical stakeholders.
Research and Development:
  • Continuous learning mindset with a passion for staying updated on the latest industry trends and technologies.
  • Ability to conduct independent research and develop innovative solutions to complex problems.

SmarTek21 stands at the forefront of innovation, leveraging Generative AI to power advanced data ecosystems and industry-leading conversational interfaces that transform customer interactions. Established in 2006, we seamlessly blend human acumen with cutting-edge artificial intelligence to tackle the most complex challenges in digital integration and data governance.

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