1287 AI Engineers jobs in Bengaluru

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

Location: Bengaluru office- Electronic City 

Timings: Full Time (As per company timings)

Notice Period: (Immediate Joiner - Only)

Experience: 4-6 Years

About the Role

We are hiring experienced AI Engineers for a client engagement focused on on-premise AI/ML

development. The project will likely involve working with open-source LLMs like LLaMA, DeepSeek,

Mistral, etc. Strong Python coding skills and data structure proficiency are a must.

Key Requirements

• Strong Python skills (must be able to solve algorithmic problems efficiently)
• Experience with on-premise AI model deployment (LLaMA, Mistral, DeepSeek, etc., preferred)
• Deep understanding of data structures and algorithms
• Proficiency in implementing solutions for:

• Grouping anagrams
• Array rotation
• Linked List operations

• Ability to work full-time from the client's Bengaluru office- Electronic City 

Nice to Have

• Exposure to fine-tuning open-source LLMs
• Experience with model optimization and performance tuning
• Familiarity with Linux-based dev environments

Interview Process

• Coding round with questions focused on data structures (anagram grouping, array rotations, linked lists)
• System-level problem solving with Python
• No cloud-related expertise required

• A good single contributor and a good team player.
• Flexible attitude towards work, as per the needs.
• Proactively identify & communicate issues and risks.

• Dynamic, engaging, self-reliant developer 
• Ability to deal with ambiguity
• Manage a collaborative and analytical approach
• Self-confident and humble
• Open to continuous learning 
• Intelligent, rigorous thinker who can operate successfully amongst bright people

We are expanding our AI-driven teams and hiring developers, engineers, and researchers who are passionate about building the next generation of artificial intelligence systems.

Whether your strength lies in building user interfaces , developing back-end logic , training AI models , or designing infrastructure , we have a place for you!

You don’t need to know exactly where you fit—we’ll guide you. Just read the descriptions below and tell us which area matches your skills and interests best.

Requirements

Designs and implements user-facing applications and dashboards.
Key Skills: React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.

Builds APIs and server-side systems that power AI tools and data pipelines.
Key Skills: Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.

Develops end-to-end applications connecting front-end interfaces with back-end AI logic.
Key Skills: Combination of Front-End and Back-End skills, API design, CI/CD.

Deploys, fine-tunes, and maintains AI models in production.
Key Skills: PyTorch/TensorFlow, MLOps, model serving, inference optimization.

Builds scalable data pipelines and manages datasets for training and evaluation.
Key Skills: Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.

Bridges the gap between AI theory and implementation by building prototypes.
Key Skills: Python, ML libraries, LLM experimentation, rapid prototyping.

Ensures reliability, monitoring, and automation across AI systems.
Key Skills: Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.

Designs and maintains the cloud infrastructure supporting AI training and deployment.
Key Skills: AWS/GCP, Terraform, distributed systems, cost optimization.

Secures the platforms and services powering our AI stack.
Key Skills: Cloud security, identity management, penetration testing, audits.

Conducts experiments to advance the science behind our models (e.g., LLMs, computer vision, reinforcement learning).
Key Skills: Research publications, advanced ML theory, model development, experimentation.

We are looking for a Senior AI/ML Engineers to join our team and help us build intelligent, scalable, and impactful solutions. In this role, you'll contribute to all phases of the ML lifecycle, from ideation to deployment, and play a key role in delivering high-quality, production-ready applications.

Skills and Responsibilities

• 5-10 Years of work experience with Machine Learning and software development.
• Degree in computer science or related field.
• Proficient in Python & software development best practices.
• Excellent written and verbal communication skills in English.
• Ability to provide expert advice by communicating a structured narrative to non-technical staff and clients.
• A coaching & knowledge sharing mindset.
• Experience with deploying ML models to a large user base.
• Worked on one of the major Cloud providers (AWS, Azure, GCP).
• Familiarity with MLOps way of working.
• Took a leading technical role in a team structure (considered as a plus).
• an engineer that understands customer business needs and translate them into end-to-end technical solutions (from conception to deployment).
• Make applications that are carefully architected, scalable and robust through your combined skills in engineering and machine learning.
• Use Python to deploy production ready pipelines and ML models on the Cloud.
• Explore state-of-the art ML research and drive internal evaluation and adoption of cutting edge tools and frameworks.
• Are responsible for the high-quality delivery of your team’s projects.
• Technically guide junior engineers.
• Deliver technical workshops for clients.
• Leverage your expertise to help sales qualify and land exciting projects.
• Take ownership to lead projects with confidence as a tech lead.