About Akira :
AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up.
AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work.
Job Title : AI / ML Engineer (Data Scientist)
Location : Bangalore
Job Description :
We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI / ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI / ML Engineer to join our dynamic team and play a crucial role in building production-grade AI / ML pipelines and solutions.
As an AI / ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI / ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world :
- Design, Develop, and Deploy AI / ML Models : Address complex business challenges through AI and ML solutions, ensuring
production-grade deployments
Build Scalable AI / ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI / ML modelsCollaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI / ML solutionsOptimize AI / ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for highperformance in production environments
Develop APIs and Microservices : Build APIs or microservices to integrate AI / ML models into business solutions, making them usable across different platformsImplement MLOps Practices : Optimize workflows using CI / CD pipelines, automated retraining of models, version control, and monitoringApply State-of-the-art AI / ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutionsEnsure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI / ML modelsStay Up-to-date with Industry Trends : Continuously explore and implement the latest AI / ML techniques, tools, and best practicesAssist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI / ML projectsRequired Skills & Qualifications :
Strong Expertise in AI / ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying modelsProficiency in Programming Languages : Strong command of Python or R, including libraries / tools for data science and machine learningExperience with Cloud-based AI / ML Services : Hands-on experience with Microsoft Azure and DatabricksMLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle managementDomain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniquesExcellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutionsEffective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiencesAttention to Detail : Ability to handle and execute highly specialized projects with a focus on qualityDesired Skills & Qualifications :
Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasetsExperience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use casesKnowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevantprivacy and security standards
Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partnersref : hirist.tech)
