ALGOTALE - KLOUDRAC - AI/ML SPECIALIST

About Algotale

At Algotale, we believe in the transformative potential of data to reshape industries, drive innovation, and create unparalleled value. Established in 2020 by a team of passionate and visionary professionals, Algotale set out to redefine the landscape of IT services and consulting by integrating a data-centric approach into every solution we design.

Our journey began with a focus on creating customized, data-driven solutions that directly address the unique challenges and ambitions of our clients. Over the years, our dedication to excellence has allowed us to grow into a trusted partner for businesses across industries, supporting them through every stage of digital transformation. Today, Algotale stands as a prominent player in the IT consulting world, known for our agility, innovation, and commitment to delivering results.

With a team of over 500 skilled professionals, we specialize in IT services, staffing, and consulting, empowering our clients to unlock the full potential of their data. Our expertise extends across data analytics, artificial intelligence, machine learning, and cutting-edge cloud solutions. By leveraging these technologies, we help organizations build resilient digital infrastructures, optimize operations, and achieve strategic growth.

As the digital landscape evolves, so does our commitment to pushing boundaries, embracing new challenges, and exceeding client expectations. At Algotale, we don’t just provide solutions; we forge partnerships built on trust, insight, and a shared drive to thrive in an increasingly data-driven world.

Website: www.algotale.com
Industry: IT Services and Consulting
Company Size: 501–1,000 employees
Founded: 2020
Specialties: IT Services, IT Staffing, IT Consulting

Roles and Responsibilities:
 Working along with the Business Analyst, Testing teams and coordinating for
smooth delivery aligned with business requirements
 Design, develop, and deploy advanced AI/ML models across NLP, Computer
Vision, and Generative AI projects.
 Research and implement GenAI applications using Azure OpenAI, MS Copilot
Studio, Azure AI Foundry, and Azure Cognitive Services.
 Build agentic AI systems using frameworks like MS Autogen, LangChain, and
Semantic Kernel for autonomous workflows and task orchestration.
 Performing code optimization and identifying potential issues and defects.
 Adhere to industry standard best practices for AI/ML development, evaluation
and deployment, ensuring maintainable, scalable, and secure solutions.
 Analyzing the technical & functional feasibility of new use cases which needs
to be automated
 Working on test procedures and scenarios for the pre-UAT phases
 Implementing change requirements supporting a structured change control
process
 Monitoring and working on solving issues on day-to-day basis for the solutions
developed and deployed
 Working with Business Analyst and SME for feasibility analysis
 Attending meetings for the solution development and problems identified with
the solution
 Capable of taking up complex challenges in AI/ML/GenAI domain
 Mentor and train fellow COE members to cross skill on AI/ML technologies
Knowledge and Skills Requirements:
 Agile mindset and team player.
 7+ years of hands-on experience designing, developing, deploying, and
maintaining AI/ML and Data Science solutions.
 Good to have experience in designing, developing, deploying and supporting
UI/UX/Front end for the AI/ML solutions.
 Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch,
Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV.
 Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen,
LangChain, Semantic Kernel, and prompt engineering techniques.
 Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive
Search,), and enterprise knowledge base integration.
 Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision,
Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps.
 Familiar with Git for version control and collaborative development.
 Strong knowledge and experience using LLM models.
 Hands on experience in designing, developing, and consuming SOAP/REST
APIs
 Experience with Lean / Agile development methodologies.
 Capable of delivering on multiple competing priorities with little supervision
 Good verbal and written communication skills
 Willing to work in 24/7 shifts.