As an AI/ML Engineer, you will be responsible for developing AI/ML Solutions based on Deep learning, Reinforcement learning, Computer vision, Expert system, Transfer Learning, NLP, and Generative AI models.
Design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.
Create Functional and technical specifications for AI/ML solutions.
Implement machine learning algorithms in services and pipelines that can be used on a web scale.
Develop proofs of concept AI/ML based solutions and services and demonstrate it to Business.
Design, develop, and implement Generative AI models using state-of-the-art techniques.
Collaborate with cross-functional teams to define project goals, research requirements and develop innovative solutions.
Experience in implementing and deploying AI/ML solutions (using various models, such as CNN, RNN, Fuzzy logic, Q learning, SVM, Ensemble, Logistic Regression, Random Forest etc.)
Specializes in at least one of the AI/ML stack, Frameworks and tools like MxNET and Tensorflow.
Strong proficiency in Python/R/Scala (Python is a must and R, Scala is a plus).
Hands-on experience with data analytics and classical machine learning, deep learning tools (e.g.Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g. Tensorflow, Pytorch).
Experience in RDBMS, NoSQL, Big Data stores like Elastic, Cassandra, Hbase, Hive, HDFS and Big Data technologies like Kafka, Apache Spark is a plus.
Strong knowledge of statistical concepts and techniques.
Knowledge in data visualization tools (Tableau, Power BI, etc.) and SQL.
Excellent understanding of object-oriented concepts and Python.
Experience in NLP models like BERT, Transformer architectures, etc.
Experience in leveraging Computer Vision and OCR in document extraction use cases.
Excellent problem-solving and analytical skills.
Strong communication and presentation skills.
What will make you stand out
Experience in production software engineering routines (e.g.Continuous Integration/Continuous Deployment).
Experiences in cloud-based solutions (e.g. AWS, Azure, GCP).
Experience working using Agile-based principles and tools.
Familiarity with working on large data sets and distributed computing (e.g. Hive, Spark, Kafka, Airflow,Scala).
Certification in any of the available cloud-based AI/ML technologies is a plus.
Experience and Qualification:
B Tech/M.Tech/Ph.D CS/IS/IT or Msc Statistics, MCA
5+ years of relevant experience in AI/ML projects.
What Company Offers:
Excellent career growth opportunities and exposure to multiple technologies.
Fixed weekday day schedule, meaning, you ll have your weekends off!
Family Medical Insurance.
Unique leave benefits and encashment options based on performance.
Long term growth opportunities.
Fun family environment surrounded by experienced developers.
Various internal employee rewards programs based on Performance.
Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation.
Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc.