AI&ML Engineer Job at Nichi-In Software Solutions Pvt. Ltd. (Bengaluru)

Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years in Automotive Manufacturing / Manufacturing Engineering Experience
1+ year experience in implementing AI/ML solutions in Automotive use cases
Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment)
Strong programming skills in Python
Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
Solid understanding of statistics, probability, and linear algebra
Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA)
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
Knowledge of ML model evaluation

Job Responsibility

Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies
Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems
Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines

Fulltime

AI ML Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

AI ML Engineer
6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
Proficient in every aspect of the data pipeline, including: Data cleaning and preprocessing
Model Selection
Feature engineering
Model training and retraining
Model evaluation
Moving models into productions
Building APIs

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

Ai Ml Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
Proficient in every aspect of the data pipeline, including Data cleaning and preprocessing, Model Selection, Feature engineering, Model training and retraining, Model evaluation, Moving models into productions, Building APIs
Python expertise
Familiar with FastAPI, Flask
Some python library or libraries for calling LLMs (LangChain or similar)
Data manipulation libraries (Pandas, Numpy, Scipy)
NLP Text processing and parsing library experience (SpaCy, NLTK, TextBlob
Deep Learning Familiarity with model binaries and inferencing, experience with HuggingFace, PyTorch, or Tensorflow a plus
LLMs Able to write prompts Understanding of the fundamentals of Language Modeling

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

Senior AI / ML Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , London

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
perform robust validation and error analysis
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Strong engineering skills in Python (typing, testing, packaging)
experience with version control (Git) and code review workflows

Job Responsibility

Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
Selecting and preparing data pipelines for model training and inference
Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

AI ML Engineer

The Applications Development Senior Supervisor is an intermediate management lev...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer
Proficient in every aspect of the data pipeline, including: Data cleaning and preprocessing
Model Selection
Feature engineering
Model training and retraining
Model evaluation
Moving models into productions
Building APIs
Python expertise

Job Responsibility

Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval

Fulltime

Senior Databricks ML & AI Engineer

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

5+ years of hands-on Machine Learning Engineering, MLOps, or AI Engineering experience within enterprise production environments
Extensive experience designing and deploying Databricks Lakehouse solutions using Delta Lake, Unity Catalog, MLflow, Databricks SQL, Workflows, and Delta Live Tables
Strong programming expertise in Python, PySpark, Pandas, NumPy, and modern software engineering best practices
Experience building, training, deploying, and monitoring machine learning models using PyTorch, TensorFlow, scikit-learn, XGBoost, or similar ML frameworks
Proven experience implementing end-to-end MLOps pipelines including experiment tracking, model registry, automated retraining, model deployment, and production monitoring
Hands-on experience developing Generative AI (GenAI) and Large Language Model (LLM) solutions, including RAG architectures, prompt engineering, LangChain, LlamaIndex, or Databricks Mosaic AI
Experience implementing Vector Search, embeddings, semantic search, and AI retrieval pipelines using Databricks or similar vector database technologies
Strong understanding of Apache Spark internals, distributed computing, performance tuning, partitioning, memory management, and large-scale data processing
Experience with cloud platforms including AWS, Azure, or Google Cloud Platform, supporting enterprise AI and machine learning workloads
Experience implementing CI/CD pipelines, GitHub Actions, Azure DevOps, Databricks Asset Bundles, and modern DevOps automation practices

Senior / Principal AI / ML Engineer

Are you passionate about shaping the future of AI-powered products? We are looki...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

AWS / expert
SQL / expert
Machine Learning / expert
Agentic Programming / expert
Spec-driven Development / expert

Job Responsibility

Lead the standardization and scaling of AI implementation across a cutting-edge platform

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

Ai / Ml Engineer

Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build ...

Location

United States , Boston

Salary:

130000.00 - 180000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models
Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment
Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration
Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams
Familiarity with data pipelines, model evaluation, and real-world ML workflows

Job Responsibility

Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning
Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence
Develop AI systems deployed across robotics, construction, energy, and telecommunications
Work closely with engineers and annotators to expand and improve high-quality training datasets
Support and scale machine learning operations (MLOps)
Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment

What we offer

Competitive salary based on experience, plus great perks
Join a YC-backed startup shaping the future of robotics

Fulltime

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AI&ML Engineer

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