1369 AI Engineers jobs in Bengaluru

Company Description

AmberFlux EdgeAI Pvt. Ltd. is an AI-native technology company that develops intelligent software products for enterprise customers. The company specializes in rapid AI product development and helps businesses easily connect its AI systems with their existing applications.

AmberFlux enables organizations to make faster, data-driven decisions by combining artificial intelligence, machine learning, edge computing, and cognitive automation. Its unique Microproducts approach simplifies AI adoption and allows companies to deploy scalable solutions quickly, keeping them ahead of the competition.

The AmberFlux team consists of experienced AI and machine learning professionals with strong academic and industry backgrounds in data science and software engineering.

Role Description

This is a contract remote role for AI Engineers (PhD Graduates) at AmberFlux EdgeAI. The AI Engineers will be responsible for developing and implementing algorithms and models for Generative Engine Optimizations (GEOs), Efficient AI Agents, and Rule based AI processing. They will engage in software development, code optimization, and troubleshooting. The AI Engineers will also collaborate with multidisciplinary teams to enhance and deploy edge AI solutions.

Qualifications

• Doctorate (PhD) in Computer Science, Artificial Intelligence, or a related field
• Pattern Recognition and Neural Networks skills
• Expertise in Computer Science and Software Development
• Knowledge of Natural Language Processing (NLP)
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work independently and remotely
• Experience with AI and machine learning frameworks is a plus

Company Description

AmberFlux EdgeAI Pvt. Ltd. is an AI-native technology company that develops intelligent software products for enterprise customers. The company specializes in rapid AI product development and helps businesses easily connect its AI systems with their existing applications.

AmberFlux enables organizations to make faster, data-driven decisions by combining artificial intelligence, machine learning, edge computing, and cognitive automation. Its unique Microproducts approach simplifies AI adoption and allows companies to deploy scalable solutions quickly, keeping them ahead of the competition.

The AmberFlux team consists of experienced AI and machine learning professionals with strong academic and industry backgrounds in data science and software engineering.

Role Description

This is a contract remote role for AI Engineers (PhD Graduates) at AmberFlux EdgeAI. The AI Engineers will be responsible for developing and implementing algorithms and models for Generative Engine Optimizations (GEOs), Efficient AI Agents, and Rule based AI processing. They will engage in software development, code optimization, and troubleshooting. The AI Engineers will also collaborate with multidisciplinary teams to enhance and deploy edge AI solutions.

Qualifications

• Doctorate (PhD) in Computer Science, Artificial Intelligence, or a related field
• Pattern Recognition and Neural Networks skills
• Expertise in Computer Science and Software Development
• Knowledge of Natural Language Processing (NLP)
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work independently and remotely
• Experience with AI and machine learning frameworks is a plus

Overview
Terralogic is a leading IT service provider company based in the Greater Bengaluru Area. We specialize in providing technology services for the connected world, from product conceptualization to product maturity, decline, and sustenance. With a strong focus on stability and increased productivity, we offer

long-lasting partnerships and far-reaching solutions that meet our customers' roadmap and business needs.

Wanna know more about us?
About the organization: About us – Terralogic ; )

The very basic foundation of Terralogic has been to provide Technology Services for the Connected World. Our core DNA is in tying deep Engineering expertise to our Customers' roadmap and business needs to bring true partnership We work from product conceptualization to product maturity, decline & sustenance by investing in a broad range of technical skills and domain experts with an eye on stability and increased productivity. We look at problem statements exactly the way our customers look at them and provide far-reaching solutions at highly optimized cost levels. With a thousand plus strength, experienced management, and best-in-class practices, we deliver world-class successes for our Customers.

Total Experience
3+ years

Responsibilities

• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong experience in application testing (manual and automation).
• Exposure to testing AI/ML-based features/applications OR willingness and aptitude to gain expertise in AI/ML testing.
• Good command of Python (for test scripts and validation of AI/ML outputs).
• Hands-on experience with test automation tools/frameworks (e.g., Selenium, Robot Framework).
• Familiarity with telecom products/services is a strong plus.
• Good understanding of SDLC and defect management tools (e.g., JIRA, TestRail).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Preferred : Experience in Telecom domain projects and testing.
• You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers.
• You would be a key contributor in building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey apply right away.

Apply Now

Note
**Work mode: work from office (WFO)

Notice period: Immediate to maximum 30 days**
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Multiple positions for GEN AI .
-Immediate joiners only

We have 20 positions looking for immediate joiners. Kindly apply.

1.AI Engineer / GenAI Developer

Experience :- Minimum 5 years AI Development

Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)

Shift Timing :– 02:00 PM to 12:00 AM IST ;
MUST Have Mandatory skills (non-negotiable)

- Minimum 5 Year development experience using Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx

- Hands on experience with AgenticAI Development, RAG Pipelines, LLM

- 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools

2 GCP AI Infrastructure Engineer

Position :- GCP AI Infrastructure engineer

Experience :- Minimum 8 years relevant in Machine Learning

Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)

Rate Card :- Rs 1000/hr

Shift Timing :– 02:00 PM to 12:00 AM IST ;
MUST Have Mandatory skills (non-negotiable)

- Minimum 5 Year experience with Google Cloud infrastructure DevOps, Google Cloud Platform (GCP), especially Vertex AI

- Experience with IBM Watsonx for AI application

- Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and IaC tools (Terraform, Pulumi, Ansible, Deployment Manager)

3 Machine Learning Engineer (Production & MLOps Focus

Experience :- Minimum 5 years relevant in Machine Learning ;
Minimum 5 Year experience with MLOps, or large-scale AI/DS systems

- Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL

- Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)

- Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)

Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)

Shift Timing :– 02:00 PM to 12:00 AM IST

4 Senior MLOps / AIOps Platform Engineer

Position :- Senior MLOps / AIOps Platform Engineer

Experience :- Minimum 5 years relevant in MLOps / AIOps

Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)

Shift Timing :– 02:00 PM to 12:00 AM IST;
5+ years in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering.

- 2+ years applying DevSecOps practices (secure CI/CD, vulnerability management, policy enforcement).

- Hands-on experience configuring and managing enterprise AI/ML platforms (IBM watsonx, Google Vertex AI).

- Demonstrated success in building and scaling ML infrastructure, automation pipelines, and platform support models.

5 - Lead Machine Learning Engineer (Production & MLOps Focus)

Lead Machine Learning Engineer (Production & MLOps Focus)

Experience :- Minimum 8 years relevant in Machine Learning

Location :- any NTT Data Location - Hybrid Remote (1 day / week from office)

Shift Timing :– 02:00 PM to 12:00 AM IST;
Minimum 8 Year experience with MLOps, or large-scale AI/DS systems

- Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL

- Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)

- Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)

Company Name: VARITE INDIA PRIVATE LIMITED

About The Client: A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.

How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post.

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Exp Req - Referral Bonus

0 - 2 Yrs.
- INR 5,000

2 - 6 Yrs.
- INR 7,500

6 + Yrs.
- INR 10,000

TE-4 Years and above

Location- Bangalore/Chennai/Hyderabad

NP- 15-30 Days max

JOB DESCRIPTION

Join our fast‑growing team to build a unified platform for data analytics, machine learning, and generative AI. You’ll integrate the AI/ML toolkit, real‑time streaming into a backed feature store, and dashboards—turning raw events into reliable features, insights, and user‑facing analytics at scale.

What you’ll do

• Design and build streaming data pipelines (exactly‑once or effectively‑once) from event sources into low‑latency feature serving and NRT and OLAP queries.
• Develop an AI/ML toolkit: reusable libraries, SDKs, and CLIs for data ingestion, feature engineering, model training, evaluation, and deployment.
• Stand up and optimize a production feature store (schemas, SCD handling, point‑in‑time correctness, TTL/compaction, backfills).
• Expose features and analytics via well‑designed APIs/Services;
  integrate with model serving and retrieval for ML/GenAI use cases.
• Build and operationalize Superset dashboards for monitoring data quality, pipeline health, feature drift, model performance, and business KPIs.
• Implement governance and reliability: data contracts, schema evolution, lineage, observability, alerting, and cost controls.
• Partner with UI/UX, data science, and backend teams to ship end‑to‑end workflows from data capture to real‑time inference and decisioning.
• Drive performance: benchmark and tune distributed DB (partitions, indexes, compression, merge settings), streaming frameworks, and query patterns.
• Automate with CI/CD, infrastructure‑as‑code, and reproducible environments for quick, safe releases.

Tech you may use

Languages: Python, Java/Scala, SQL

Streaming/Compute: Kafka (or Pulsar), Spark, Flink, Beam

Storage/OLAP: ClickHouse (primary), object storage (S3/GCS), Parquet/Iceberg/Delta

Orchestration/Workflow: Airflow, dbt (for transformations), Makefiles/Poetry/pipenv

ML/MLOps: MLflow/Weights & Biases, KServe/Seldon, Feast/custom feature store patterns, vector stores (optional)

Dashboards/BI: Superset (plugins, theming), Grafana for ops

Platform: Kubernetes, Docker, Terraform, GitHub Actions/GitLab CI, Prometheus/OpenTelemetry

Cloud: AWS/GCP/Azure

What we’re looking for

1. 4+ years building production data/ML or streaming systems with high TPS and large data volumes.
2. Strong coding skills in Python and one of Java/Scala;
   solid SQL and data modeling.
3. Hands‑on experience with Kafka (or similar), Spark/Flink, and OLAP stores—ideally ClickHouse.
4. GenAI pipelines: retrieval‑augmented generation (RAG), embeddings, prompt/tooling workflows, model evaluation at scale.
5. Proven experience designing feature pipelines with point‑in‑time correctness and backfills;
   understanding of online/offline consistency.
6. Experience instrumenting Superset dashboards tied to ClickHouse for operational and product analytics.
7. Fluency with CI/CD, containerization, Kubernetes, and infrastructure‑as‑code.
8. Solid grasp of distributed systems and architecture fundamentals: partitioning, consistency, idempotency, retries, batching vs. streaming, and cost/perf trade‑offs.
9. Excellent collaboration skills;
   ability to work cross‑functionally with DS/ML, product, and UI/UX.
10. Ability to pass a CodeSignal prescreen coding test.

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit . Follow us on Facebook , Twitter , and LinkedIn .

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Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

JD – Sr. Data Scientist - Media Analytics

Experience:
 7–8 years

Location:
 Bangalore (Onsite)

Candidates who can join within 15 days may only apply

Job Summary

We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in 
Media Analytics
 and a proven track record in driving marketing measurement and optimisation. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimise media investments.

Required Skills & Experience

• 7–8 years of experience in Data Science/Analytics with a strong focus on 
  media measurement
  , 
  marketing effectiveness
  , and performance optimization.
• A minimum of a bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred.
• Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
• Familiarity with large language models (LLMs) and generative AI is highly desirable.
• Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
• Proven experience with Databricks platform, Snowflake, and Azure cloud services.
• Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
• Experience with BI tools such as Power BI, DOMO and Tableau.
• Strong understanding of machine learning algorithms, data structures, and software design principles.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional teams(GT1)
   
  (GT2)
   
  .

Desired Qualifications:

• Experience with classification models, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI.
• Preferably from the Retail, eCommerce or CPG industry

Key Responsibilities

• Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
• Solve complex media optimisation problems and conduct A/B testing to evaluate proposed solutions.
• Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Support the domain leads and business teams to solve complex analytical challenges.
• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc.
• Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts.
• Research and promote latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms.
• Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Employ innovative thinking and always seeking the best ways of working for our teams and business partners.

(GT1)

(GT2)

Company Description

FACE Prep is one of India's largest placement-focused skill development companies, specializing in job preparation for the tech sector. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers. The company offers a variety of programs, including masterclasses, self-paced courses, and workshops to help students acquire the skills needed for top-paying jobs in tech. FACE Prep's alumni work at leading tech companies like Google, Microsoft, Meta, Adobe, PayPal, and many more.

Role Description

This is a full-time, on-site role for an AI & ML Mentor (Faculty) located in Bengaluru. The AI & ML Mentor will be responsible for delivering quality education through workshops, bootcamps, and mentoring sessions. Day-to-day tasks include preparing instructional materials, guiding students through complex AI and ML concepts, and providing individual mentorship. The role involves staying updated with the latest advancements in AI and ML to ensure the curriculum remains current and effective.

Qualifications

• In-depth knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML)
• Experience in developing and delivering instructional content, including workshops and bootcamps
• Proficiency in Python and related libraries such as TensorFlow, PyTorch, and scikit-learn
• Excellent communication and presentation skills
• Ability to mentor and guide students at different stages of learning
• Experience in the education sector or similar role is a plus
• Bachelor's or Master's degree in Computer Science, Data Science, or related field

Job Role- Data Scientist (Sr. Consultant)

At Deloitte, we do not offer you just a job, but a career in the highly sought-after Risk Management field. We are the business leader in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security.

By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk- centric solutions across a variety of risk domains. In the process, you will gain exposure to the risk-centric challenges faced in today's world by organizations across a range of industry sectors and become subject matter experts in those areas and develop into a well-rounded professional who not only has the depth in few risk domains, but also has width of exposure to wide variety of risk domains.

So, if you are someone who believes in disrupting through innovation and execution of ideas, Deloitte Risk and Financial Advisory is the place to be

Work you'll do

The key job responsibilities will be to:

• Develop database schemas, tables and dictionaries
• Develop, implement and optimize stored procedures, functions and indexes
• Ensure the data quality and integrity in databases
• Create complex functions, scripts, stored procedures and triggers to support application development
• Fix any issues related to database performance and ensuring stability, reliability and security
• Design, create, and implement database systems based on the end user's requirements
• Prepare documentations for database applications
• Memory management for database systems
• Develop best practices for database design and development activities

The Team

Our Financial Technology practice develops and licenses a growing family of proprietary software products (see ) to assist financial institutions with a number of complex topics, such as accounting for credit deteriorated assets and the administration of investments in leveraged loans.

We are looking to add dedicated software engineers to our team. In addition to competitive compensation and benefits, we provide excellent opportunities for growth and learning and invest in our talent development.

Qualifications

Required:

• • Bachelor's degree in computer science or related field
• At least 5 to 7 years of experience as a SQL developer, with strong understanding of Microsoft SQL Server database
• Strong experience with Python coding and libraries (Pandas, NumPy, PySpark etc.)
• Hands-on experience with machine learning algorithms and frameworks
• Understanding and implementation of AI and generative AI solutions
• Proficiency in data visualization & data analytics
• Knowledge of best practices when dealing with relational databases
• Capable of troubleshooting common database issues
• Familiar with tools that can aid with profiling server resource usage and optimizing it
• Knowledge in performance optimization techniques
• Excellent verbal and written communication

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.

Benefits to help you thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

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