Engineering Manager (Python + Machine Learning) Job at AquSag Technologies (Noida)

Senior Manager, Machine Learning Engineering

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
At least 4 years of people management experience
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Engineering Manager, Machine Learning

Dandy is transforming the massive and antiquated dental industry—an industry wor...

Location

United States

Salary:

216750.00 - 255000.00 USD / Year

Dandy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong focus on computer vision or machine learning
Extensive experience in SOTA 2D deep learning and/or experience with 3D deep learning
6+ years (or 5 years + PhD) of industry experience in applied machine learning
At least 1 year in a leadership or management role
Strong people management skills with a track record of team development, mentorship, and retention
Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations
Strong coding skills in Python
Experience with ML frameworks like PyTorch

Job Responsibility

Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision
Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals
Lead and grow a high-performing team of ML scientists, engineers, and researchers
Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans
Research and implement state-of-the-art methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks
Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Manage large-scale datasets to develop both generic models as well as fine-tune models for specific applications
Develop evaluation methods to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines, ensuring robust and scalable deployment of models

What we offer

Offers Equity
Healthcare
Dental
Mental health support
Parental planning resources
Retirement savings options
Generous paid time off

Fulltime

Engineering Manager, Machine Learning Platform

Dandy is transforming the massive and antiquated dental industry. We are establi...

Location

United States

Salary:

216750.00 - 255000.00 USD / Year

Dandy

Expiration Date

Until further notice

Requirements

Bachelor’s in Computer Science, Electrical Engineering, Robotics, or a related field
5+ years of industry experience in applied machine learning
at least 2+ years in a leadership or management role
Deep understanding of ML Platform best practices: CI/CD for ML, model deployment, observability, and lifecycle management
Strong people management skills with a track record of team development, hiring mentorship, and retention
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
Hands-on experience with model optimization, hyperparameter tuning, evaluation, monitoring, and benchmarking
Familiarity with Docker, Kubernetes, Kubeflow, and cloud platforms (AWS, GCP, or Azure)
preference for GCP tools (Vertex AI, BigQuery, Dataflow, GKE)
Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations.

Job Responsibility

Lead execution of the ML roadmap, with a focus on building scalable, production-grade ML Platform infrastructure for 3D deep learning and computer vision applications
Build and lead a high-performing ML Platform team, with an emphasis on reliability, reproducibility, and efficient model lifecycle management
Partner with product, engineering, and research stakeholders to translate ML innovations into robust, deployable systems that support key business objectives
Oversee the end-to-end deployment of computer vision models that extract structure from complex 3D scan data, ensuring production readiness and performance at scale
Drive experimentation and implementation of SOTA techniques for 3D generative AI, while ensuring they are integrated into robust ML Platform workflows
Collaborate cross-functionally to identify pain points and bottlenecks in current ML pipelines and deliver improvements through automation and tooling
Manage large-scale data pipelines, versioning, and labeling workflows to support both generalized and fine-tuned model development
Define and implement rigorous evaluation and monitoring strategies to maintain high model quality, mitigate drift, and ensure reliability in production
Establish and maintain best practices for CI/CD of ML models, including model versioning, rollback mechanisms, and monitoring for performance and integrity.

What we offer

Offers Equity
healthcare
dental
mental health support
parental planning resources
retirement savings options
generous paid time off

Fulltime

Engineering Manager II, Machine Learning – Rider Pricing & Incentives

About the Team: Uber Marketplace is at the heart of Uber’s business, with Rider ...

Location

United States , Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
Experience with machine learning and optimization algorithms

Job Responsibility

Manage a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs
Improve the performance of models and algorithms powering pricing algorithms and promotion targeting
Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap
Mentor more junior team members by role modeling ML best practices
Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth
Help Uber’s end-users by making mobility options accessible and affordable

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr Engineer, Machine Learning Engineering

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capab...

Location

United States , Bellevue; Atlanta; Overland Park; Herndon

Salary:

127000.00 - 229100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments
5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization
3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions
5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications
2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance
Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications
Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases
Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement
Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness
Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions
Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency
Research and apply emerging techniques in transformer architectures, multimodal learning, and generative modeling to drive innovation and enhance enterprise capabilities
Ensure secure, ethical, and responsible AI deployment, embedding fairness, transparency, and compliance throughout the model lifecycle
Mentor and guide team members on generative AI frameworks, best practices, and experimentation methodologies

What we offer

annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical insurance
dental insurance
vision insurance
flexible spending account
paid time off
up to 12 paid holidays

Fulltime

Senior Manager, Machine Learning Platform

We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and...

Location

United States , Mountain View

Salary:

348913.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
5+ years of experience in Engineering or Scientific domains
5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning platform roadmap in alignment with business goals
Lead the ML platform team to design, develop, and optimize ML-based systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Senior Engineer, Machine Learning Engineering

Mastercard’s Business & Market Insights (B&MI) group empowers organizations to a...

Location

India , Pune

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Master’s/bachelor’s degree in computer science or engineering
Considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs
Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions
Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems
Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks
Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar
Strong programming skills in languages such as Python/SQL is a must
Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus

Job Responsibility

Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen) to enable reasoning, coordination, and adaptive decision-making across specialized AI agents
Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, etc.) for unified intelligence
Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs (Neo4j, AWS Neptune) to enable contextual retrieval, semantic linking, and entity-aware reasoning
Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks leveraging Hugging Face, PyTorch, and TensorFlow ecosystems
Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows supporting high-throughput AI operations
Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS) integrating MLflow, feature stores, model lineage, prompt evaluation, and continuous retraining frameworks
Apply traditional AI/ML and statistical modeling techniques (regression, clustering, forecasting, ensemble methods) alongside deep learning models for hybrid interpretability and explainability
Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions
Implement Responsible AI practices—bias detection, explainability dashboards, data ethics checks, and performance governance ensuring fairness and transparency of deployed models
Continuously research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration to drive enterprise-scale intelligence and automation

Fulltime

Manager, Machine Learning on Orbit

Boston Dynamics is building the world’s most advanced robots. The Spot quadruped...

Location

United States , Waltham

Salary:

187580.00 - 275117.00 USD / Year

Boston Dynamics

Expiration Date

Until further notice

Requirements

BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field
Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques
Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks
Experience with common ML tools (CUDA, pytorch), architectures and workflows
Ability to track the current state of the art, and identify opportunities for product applications
A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings

Job Responsibility

Be a lead on a team of ~5 machine learning engineers
Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc
Establish effective methods of evaluating inspection model performance
Curate datasets to be used in model training, fine-tuning and evaluation
Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering

What we offer

medical, dental vision, 401(k), paid time off and an annual bonus structure

Fulltime

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Engineering Manager (Python + Machine Learning)

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