Artificial Intelligence Developer

Role: AI Developer Support Engineer | Freelancer Type: Freelancer Experience: 5+ years No. of Positions: 3 Location: Work From Home
Who we are Headquartered in the UK in 2016 and with branch offices in India and France, Hatigen is  renowned as one of the leading IT consulting services companies serving clients all across the  globe. With a team of strategic minds and well-experienced professionals in various  technologies, we provide IT consulting services in various domains such as Big Data, Machine Learning, Artificial Intelligence, Cloud Computing, Data Science, etc. Adding to this, we have a proven track record of serving various industries such as Banking & Finance, Healthcare, Public Services, Insurance, Charity, and Retail. Thus, we help businesses make the right decisions and thrive with our innovative solutions through our IT  consulting services. Furthermore, Hatigen is also recognized as the organization that trains and empowers  individuals on various technologies and thus encourages them to build their careers.
What will your job look like
• Ability to write code in Python / R and other relevant programming languages.
• Knowledge on basics of math and probability.
• Good understanding and strong knowledge in algorithms, statistics.
• Should have implemented suitable AI/ML algorithms for mathematical optimisation, data mining, exploratory data analysis, and predictive analytics.
• Demonstrated Experience of working in ML/AI frameworks.
• Experience in developing deep learning systems to various use cases based on the  business needs.
• Understanding of data modelling, software architecture and data structures.
• Hands-on skills in emerging technologies like Cloud Computing, Data Analytics,  Cyber Security, RPA etc.
• Design, develop, and implement NLP and Machine learning models Productionize models model training, model deployment, model serving, model monitoring
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conduct research to stay up-to-date with the latest advancements in machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services.
• Optimize Generative AI models for improved performance, scalability, and efficiency.
• Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
• Contribute to the establishment of best practices and standards for ML and NLP development within the organization.
Requirements
• Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 5+ years of experience.
• 5+ yrs of experience working as a AI/ML Engineer and has implemented and deployed at least 2 large projects related to Natural language processing (NLP)
• Experience in Linear Regression, Logistic Regression, Decision Tree, Random Forest, XG BOOST, CAT BOOST, Ada BOOST, SVM, Clustering etc
• Experience in developing and implementing Generative AI models is good to have.
• Proficiency in Python and have 5+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
• 6+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
• Significant experience architecting cutting-edge MLOps systems in enterprise  environments
• Experience in full stack development
• Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Knowledge of software development methodologies, such as Agile or Scrum.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

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