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 :

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.