Artificial Intelligence/Machine Learning Developer

24 hours ago


Anywhere in IndiaMultiple Locations La'Gran Software Solutions Full time

Position Title : AIML Developer

Experience : 3+ Years

Education : BTech/Mtech

Skill Set : NLP/ML engineer, with a strong focus on NLP techniques and model development, 5+ years of experience in data science, Python, R, or Java, TensorFlow, PyTorch, scikit-learn, and others, SQL, Hadoop, or Spark, Tableau, Power BI, or similar. Cloud certified is mandatory - aws, Azure, google

Job Overview :

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 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 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 and Qualifications :


- 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 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 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 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.

(ref:hirist.tech)

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