Blue Altair

Data-driven digital transformation and API integration

Consultant/Senior Consultant - AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

The role requires 4–6 years of experience.
A Master’s degree or relevant degree/certification in a quantitative discipline, such as Computer Science, Mathematics, Statistics, or Artificial Intelligence, is required.
Hands-on experience with statistical software tools is required; Python and Python statistical libraries are preferred, while R, SAS, SPSS, Strata, and MATLAB are also accepted.
A deep conceptual understanding of probability and statistics, machine-learning algorithm intuition, and computer science fundamentals is required.
Deep experience with statistical and machine-learning techniques, including classification, regression, feature selection and engineering, hyperparameter tuning, unsupervised learning, time-series analysis, and forecasting, is required.
A deep understanding of training and fine-tuning generative AI models is required.
Proven generative AI experience, including model training, fine-tuning, and deployment, is required.
Practical expertise with large language models such as GPT, LLaMA, Mistral, and Claude is required.
Experience implementing retrieval-augmented generation pipelines using vector databases such as Pinecone, Weaviate, Milvus, or FAISS is required.
Strong knowledge of text, image, and multimodal embeddings and their applications in semantic search, personalization, and recommendation systems is required.
Familiarity with agentic AI frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI for building autonomous and multi-agent systems is required.
Strong interpersonal and communication skills are required.
The ability to explain statistical reasoning to experts and non-experts is required.
The ability to learn new skills and technologies quickly and independently is required.
Independent problem-solving skills are required.

Responsibilities

Research, design, and implement generative AI-powered solutions for complex business problems.
Build and deploy large language model-based applications, including chatbots, copilots, and autonomous agents.
Architect and optimize retrieval-augmented generation pipelines for enterprise knowledge retrieval and augmentation.
Develop and evaluate embedding-based solutions for semantic search, personalization, and recommendation.
Experiment with agentic AI frameworks to design multi-agent workflows and autonomous decision-making systems.
Research machine-learning algorithms, develop solution formulations, and test them on large datasets.
Design and develop tailored analytic solutions for unstructured and complex business problems.
Design experiments, test hypotheses, and build actionable models.
Solve analytical problems and communicate methodologies and results.
Draw relevant inferences and insights from data, including identifying trends and anomalies.
Translate unstructured, complex business problems into abstract mathematical frameworks, using analogies and approximations to produce working algorithms at scale.

Desired Qualifications

An analytical mind and problem-solving abilities.
The ability to design and optimize retrieval-augmented generation pipelines for enterprise-scale knowledge management.
Understanding of text representation techniques such as BERT and ELMo, and of statistics.
A deep understanding of long short-term memory and convolutional neural network functionality and architecture.
Experience with information extraction and retrieval techniques such as named entity recognition, dependency parsing, and coreference resolution.
Hands-on experience with text-mining and natural language processing libraries such as spaCy, NLTK, Hugging Face, and OpenAI APIs.
Experience with cloud data science or AI platforms such as AWS SageMaker or Azure Machine Learning.
Knowledge of multimodal AI involving text, vision, and speech, and of emerging techniques in agentic workflows.
Experience with techniques such as probabilistic graphical models, generative algorithms, genetic algorithms, and reinforcement learning.
Personal projects and Kaggle competition results.

Consultant/Sr. Consultant - AI Engineer (INAI)

Blue Altair · Pune, India · Full-time · Posted 2026-01-21

Workplace: on_site

Department: Artificial Intelligence

Description

About Blue Altair:

Have you thought about the role you’ll play in the AI universe of tomorrow?

At Blue Altair, we believe each employee is a star—full of diverse elements that emit brilliant light. Just as stars illuminate the night sky, our team members light up the business and technology world with their talent, creativity, and dedication.

Blue Altair is an innovative, industry-recognized consulting firm that leverages transformative technologies to enable AI and drive digital success for its clients. Founded in 2015, our services span Assessment and Strategy, Technology Implementation, and Managed Services across API Management and Integration, Data Management, Digital Application Development, and Artificial Intelligence. We are proud to exceed industry standards for project success, thanks to our expert focus on program and project management, business analysis, and quality assurance.

Working at Blue Altair means being part of a vibrant, dynamic team that drives digital change and empowers clients to embrace AI transformations. No matter the role you fill, you'll help shape the digital future and make a real difference.

So, if you're a star ready to shine even brighter, we can't wait to meet you. Join us at Blue Altair—where we're not just transforming businesses but shaping the AI universe one star at a time!

Requirements

Title: AI Engineer
Experience: 4-6 years
Location: Pune/Bangalore

Requirement:

Master’s degree or relevant degree/certification in quantitative discipline, e.g., Computer Science, Mathematics, Statistics, Artificial Intelligence.
Hands-on experience with statistical software tools. We prefer experience in Python and Python statistical libraries. Experience in R is also accepted, as is SAS, SPSS, Strata, and MATLAB.
Deep conceptual understanding of probability & statistics, ML algorithm intuition, and computer science fundamentals.
Deep experience in statistical and machine learning techniques such as classification, regression, feature selection and feature engineering, hyperparameter tuning, unsupervised learning methods, time series analysis, forecasting etc.
Deep understanding of GenAI Models training and fine tuning of them.
Proven experience in Generative AI (GenAI) including model training, fine-tuning, and deployment.
Practical expertise with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, etc.
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
Strong knowledge of Embeddings (text, image, multimodal) and their application in semantic search, personalization, and recommendation systems.
Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) for building autonomous and multi-agent systems.

Responsibilities:

Research, design, and implement GenAI-powered solutions for complex business problems.
Build and deploy LLM-based applications including chatbots, copilots, and autonomous agents.
Architect and optimize RAG pipelines for enterprise knowledge retrieval and augmentation.
Develop and evaluate embedding-based solutions for semantic search, personalization, and recommendation.
Experiment with agentic AI frameworks to design multi-agent workflows and autonomous decision-making systems.
Research machine learning algorithms develop solution formulations, and test on large datasets.
Given unstructured and complex business problems, design and develop tailored analytic solutions.
Design experiments, test hypotheses, and build actionable models.
Solve analytical problems and effectively communicate methodologies and results.
Draw relevant inferences and insights from data including identification of trends and anomalies.
Translate unstructured, complex business problems into abstract mathematical frameworks, making intelligent analogies and approximations to produce working algorithms at scale.

Preferred Experience:

An analytical mind with problem-solving abilities
Ability to design and optimize RAG pipelines for enterprise-scale knowledge management.
Understanding of text representation techniques (BERT, ELMo, etc.) and statistics
Deep understanding of the LSTM/CNN functionality and architecture
Experience with information extraction and retrieval techniques (e.g. Named Entity Recognition, Dependency Parsing, Coreference Resolution, etc.)
Hands-on with text mining and NLP libraries (SpaCy, NLTK, Hugging Face, OpenAI APIs).
Experience with any cloud DS/AI platforms (e.g. AWS Sage maker, Azure Machine Learning, etc.) will be a bonus.
Knowledge of multimodal AI (text, vision, speech) and emerging techniques in agentic workflows.
Experience with less common techniques, such as probabilistic graphical models, generative algorithms, genetic algorithms, reinforcement learning, etc.
Personal projects and Kaggle competition results can serve as differentiation.

Required Soft Skills:

Strong interpersonal and communication skills.
Ability to explain statistical reasoning to both experts and non-experts.
Strong communication and interpersonal skills.
Ability to learn new skills/technologies quickly and independently.
Independent problem-solving skills.

Benefits

In addition to a competitive compensation package, we offer abundant opportunities for you to achieve, excel, and surpass even your own expectations. Aligned with Blue Altair's challenger ethos, we present the Star Elements program, inspired by the composition of stars themselves, comprising diverse elements that give unique qualities and illuminate for thousands of years. Likewise, our initiative aims to facilitate brilliance in our employees. The Star Elements program encompasses a range of benefits, supporting our team across four pivotal facets of their lives and careers. Through Star Elements, our employees can fully realize their potential, both on personal and professional fronts.

Apply

Apply at Blue Altair

About the Company

Blue Altair

Data-driven digital transformation and API integration

Blue Altair is a technology and business consulting firm that helps clients with digital transformation by treating data as a core asset. Its offerings center on data management (data governance, metadata management, data quality), API ecosystem development and management to integrate systems and reduce duplication, and applying machine learning and responsible AI to derive insights, automate manual tasks, and optimize outcomes. The company uses automated frameworks and a digital transformation strategy that blends ML/AI tools, business analytics, and QA as a Service (QAaaS). It serves forward-thinking, agile organizations building modern cloud-based architectures (microservices, DevSecOps) to meet customer needs. Its goal is to enable organizations to capture, store, process, and analyze data effectively to improve decisions and operations.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2015

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