1351 Machine Learning Engineers jobs in Bengaluru

Design & validate BMS algorithms (SOC, SOH, SOE, thermal mgmt, cell balancing, diagnostics). Expertise in MATLAB/Simulink, C/C++, Python, MIL/SIL/HIL, battery models & Li-ion chemistries. Work on next-gen EV battery technologies.

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 .

--

Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn).

• Experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure.
• Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training.
• Apply machine learning techniques to solve complex business problems and optimize existing processes.
• Evaluate and benchmark different machine learning models to determine optimal solutions.
• Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
• Implement scalable and reliable machine learning infrastructure and productionize models.
• Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously.
• Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team

)

Position :
AI/ML Engineer.

Location :
Bangalore.

Industry :
IT Software.

Experience Required :
3-5 Years.

WFO 5 Days

• The focus is on advanced machine learning, with significant depth in deep learning, large language models, and recommender systems.
• Youll be involved in validation, defect management, and the overall software development life cycle.
• The role requires extensive hands-on experience with Ubuntu/Yocto Linux, as well as popular open-source ML frameworks like PyTorch, TensorFlow, and ONNX Runtime.
• Exposure to profiling ML workloads, end-to-end AI/ML compute stack validation (including HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, TensorFlow/PyTorch integration), and end-to-end AI pipeline assessment from model conversion to inference and kernel execution.
• Proficiency in Python programming, strong problem-solving skills, and a mindset open to innovative approaches are vital.
• Youll work using global production software quality assurance methodologies, taking strong ownership of deliverables, and collaborating with teams globally.

)

Experience

• 5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar Programming Skills :
• Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code.
• Experience with other languages (e.g., Java, Go, C++) is a Software Engineering Fundamentals :
• Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed Learning Expertise :
• Solid theoretical and practical understanding of various machine learning algorithms
• Proficiency with ML frameworks such as PyTorch, Scikit-learn.
• Experience with feature engineering, model evaluation metrics, and hyperparameter Handling :
• Experience with SQL and NoSQL databases, data warehousing concepts, and processing large :
• Excellent analytical and problem-solving skills, with a pragmatic approach to delivering :
• Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

)

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

Hiring: ML Engineer (Azure & Databricks )

Location: Bangalore

Experience: 4–6 Years

Notice Period: Immediate Joiners Preferred

Required Skills & Experience:Strong proficiency in Python for data manipulation, ML model development, and scripting.

Hands-on experience with ML frameworks: Scikit-learn, TensorFlow, PyTorch, or Keras.Proven expertise in MLflow for model tracking, management, and deployment.

Solid experience with Microsoft Azure services — Azure Machine Learning, Azure Databricks, and cloud data services.

Interested candidates can share their CVs at:

Job Type: Full-time

Pay: ₹470, ₹1,553,645.55 per year

Application Question(s):

• How many days NP ? Last working date?
• CTC? ECTC?
• Are you okay for Banglore location?

Experience:

• Machine learning: 4 years (Preferred)
• Python: 2 years (Preferred)
• Mlops: 2 years (Preferred)
• Azure: 2 years (Preferred)
• MLFlow: 2 years (Preferred)

Work Location: In person

About Us:

At SFL, we are transforming India's youth sports academy ecosystem using technology, data, and strategic investments. Our goal is to empower academies with advanced AI tools, analytics, and operational support.

Position Overview:

We are looking for an ML Engineer to lead the development of our performance and learning tools. This is an individual contributor role where you will design, build, and fine-tune ML models for player analytics, skill assessment, and automated highlight generation.

We want someone who is passionate about sports and excited to create solutions that bring together computer vision, machine learning, and sports science. You will work closely with our product and engineering teams to turn these ideas into real products and take them to production.

Role & Responsibilities:

• Computer Vision & ML Models:
  Use computer vision and machine learning techniques to extract meaningful insights from sports videos and match data.
• MLOps:
  Build and maintain the end-to-end sports analytics ML platform – from video ingestion to production on AWS using best MLOps practices.
• Collaboration:
  Work with the product and tech teams to align on features and integration plans while independently owning AI product delivery.
• Continuous Improvement:
  Monitor model performance, gather feedback, and refine algorithms to improve accuracy and user experience.
• Data Management:
  Process and analyze structured and unstructured data including videos, scores, and stats to improve model accuracy.
• Ownership:
  High ownership in a fast-paced startup.

Basic Qualifications:

• Bachelor's degree in Computer Science or a related field.
• Strong problem-solving skills and a growth mindset.
• Hands-on experience in Python with OpenCV, PyTorch/TensorFlow and other ML libraries.
• 2–4 years of experience in training and deploying computer vision models in production.
• Practical experience working with AWS.
• Effective use of AI tools (Copilot, Cursor, Claude, ChatGPT etc.) to accelerate development and research workflows.

Preferred Qualifications:

• Strong academic background with a degree from IITs, NITs, IIITs, BITS Pilani, or other top-tier institutions.
• Knowledge of CNNs, transformers, object detection, and video analysis models.
• Expertise in Docker, MLFlow, AWS services such as MediaConvert and Sagemaker
• Experience in a large-scale consumer tech company.

Perks and Benefits:

• Competitive salary and performance-linked incentives.
• High ownership in building a greenfield AI product from scratch.
• Opportunity to impact youth sports in India through meaningful innovation.
• Flexible work environment with a learning-focused culture.

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

We are seeking a motivated and curious Machine Learning Engineer to help build intelligent systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will contribute to the design and development of modern infrastructure, collaborate with experienced engineers, and gain hands-on experience bringing ideas from concept to production—driving meaningful impact across SAP's global ecosystem.

Description

As part of our fast-moving team, you'll have the opportunity to work on AI and LLM-based systems at scale. We are looking for someone with strong programming skills, an eagerness to learn distributed systems, and the determination to tackle challenging technical problems. You'll work across a diverse technology stack, collaborate with teammates and product partners, and grow your expertise while contributing to high-impact AI initiatives.

Key Responsibilities:

• Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python
• Support the optimization of databases, services, and LLM infrastructure
• Work with modern technologies such as Kafka, Postgres, Hana, gRPC, and AI/ML frameworks
• Collaborate with senior engineers to learn best practices in system design and scalability.
• Partner with cross-functional teams to deliver features aligned with business goals

Minimum Qualifications:

• Bachelor's degree in Computer Science, Mathematics, Physics, or related field (or equivalent experience)
• 4 to 6 years of software engineering experience, ideally with exposure to backend or AI/ML systems
• Strong programming skills in at least one language (e.g., Python, Java, or Go)
• Familiarity with databases, APIs, or distributed systems concepts
• Basic understanding of CI/CD pipelines and modern development practices
• Good communication skills and ability to collaborate in diverse teams

Preferred Qualifications

• Personal or open-source projects that showcase your technical curiosity with AI/ML or LLM frameworks
• Interest in distributed systems and large-scale product development
• A problem-solving mindset and eagerness to learn new technologies

Why Join Us

• Work on cutting-edge AI and LLM systems used across SAP's global platforms
• Learn directly from experienced engineers in a supportive, collaborative environment
• Gain exposure to a wide range of modern tools and technologies
• Contribute to projects that help shape SAP's AI strategy and product capabilities

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid