Remote senior ML engineer jobs

We, at Turing, are looking for talented remote senior ML engineers who will join the AI team and collaborate with data scientists and software engineers to develop and implement production-ready AI applications. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Analyze user behavior, participate in project ideation and translate analytical use cases into technical end-to-end solutions
  • Design and implement large-scale machine learning algorithms, data pipelines, and back-end services
  • Design and train models to develop efficient machine learning applications
  • Keep abreast with the latest developments in AI-ML and NLP spaces
  • Participate in all stages of development process and take ownership of complex projects
  • Define metrics and run A/B tests to measure the workflow impact
  • Guide and mentor the junior ML engineers
  • Explain technical and complex concepts to non-technical users

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Statistics (or equivalent experience)
  • At least 5+ years of experience in applied machine learning (rare exceptions for highly skilled developers)
  • Prior experience with natural language processing and machine learning algorithms
  • Profound knowledge in programming languages including Python, Java, R, PHP, Scala, etc.
  • Experience with deep learning frameworks like TensorFlow, Pytorch and libraries like scikit-learn
  • Expertise in data processing frameworks like Apache Spark, Flink, etc.
  • Understanding of data structures, neural networks, data modeling and software architecture
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in developing and training ML models
  • Experience with graph learning, MATLAB, SQL, and AWS technologies
  • Hands-on experience in Git, Github and CI/CD principles
  • Ability to design, develop, and maintain recommendation services
  • Great analytical and problem-solving skills
  • Ability to work independently and take up ownership
  • Strong communication and leadership skills

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How to become a senior machine learning engineer ?

Machine learning has been a part of the space for the last 10-20 years. But the recognition it has received is overwhelming. As the industry is growing at a tremendous rate, it has become one of the hottest jobs. It is expected to grow even more in the coming years. So the future of machine learning is shining bright.

Since it's not an entry-level job. An expert engineer must have relevant expertise in both fields- data science and software engineering. This profile is an amalgamation of degree, knowledge and experience. Therefore, machine learning engineers are always in demand. The industries where an individual can seek a career are – IT, marketing, finance and businesses.

What is the scope of a senior machine learning engineer?

Machine learning is a process where machines learn and improve on their own. The system enhances itself on its own with minimum/ no human interference. They keep on improving themselves based on the previous data and its analysis. Engineers prepare algorithms that are used by the machines for improvement and action.

Machine learning opens lucrative career options for the novice and professionals. Top companies like Apple, Google, Amazon, and many more hire ML engineers to achieve various business goals. An experienced machine learning takes care of designing and implementing machine learning algorithms. A fresher can start their career as an ML engineer, analyst or data scientist. However, a professional can make a career in the following fields:

  • Sr. Machine Learning Engineer:
  • Senior Data Scientist
  • Sr. Data Architect

What are the roles and responsibilities of a senior machine learning engineer?

The roles and responsibilities of an sr. machine-learning engineers are almost the same in every company. Although, some of the responsibilities depend on the project, company and goals. Here, we have listed some of the common roles and responsibilities that are the same for every sr. machine learning engineer.

  • Should know how to implement machine learning algorithms and other methodologies.
  • Help junior ml engineers to work effectively
  • Perform machine learning tests and experiments
  • Collaborate with data scientists and bring solutions to existing problems.
  • Review and ensure the quality of programme code
  • Must remain up-to-date with latest ml trends and technologies
  • Must be ready to lead machine learning projects
  • Help in the process of developing machine learning applications

How to become a senior machine learning engineer?

To become an sr. machine engineer, you should have good knowledge of data science, programming languages and mathematics. For someone who is aspiring to become a machine learning engineer, It is good to have an undergraduate degree in computer science or a relevant degree. They should have sound technical skills to comprehend data and should have worked for more than 5 years to become senior machine learning developers.

Sr. Machine learning engineers should keep themselves updated with the latest trends, new algorithms. You can also attend courses workshops on machine learning and data science. Knowledge and hands-on experience on various projects are also required for an sr. ml engineer. As this will help you get your ideal job.

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Skills required to become a senior machine learning engineer

To get a job as a senior ml engineer, you must have relevant years of experience as a machine learning engineer. Along with the experience, there are certain skills that every sr. ml engineer must possess:

1. Knowledge of programming languages

An understanding and working knowledge of programming languages is a must for an sr. machine-learning engineer. Knowledge of languages like Python, Java, SQL, Scala and PHP. As the knowledge of languages is important for application development, the engineer must also be proficient in mathematics, statistics and data science.

2. Software Engineering

As an ML engineer, you have to deliver software. You must understand how everything works together to generate the desired output. They must also be ready to overcome any roadblocks while increasing productivity.

They should have a keen understanding of the functionality and working knowledge of REST APIs, libraries and queries. Also, an sr. ml engineers should have hands-on experience in system design, version control, documentation, etc.

3. Machine Learning Algorithms

You should have a decent understanding of machine learning algorithms available through APIs, libraries and packages. You should also know the pros and cons of different approaches (underfitting, data leakage, etc). Online communities like Kaggle also help machine learning engineers in keeping themselves updated with trends, solving problems and reaching solutions.

4. Data Modeling

Data modeling is a process of creating data models by applying different techniques. The data models are stored in databases. It helps in analyzing data that is required for business functions. One of the most important parts of the job is to evaluate how good the data model is based on different conditions like accuracy or error.

5. Problem-solving Skills

As problems are a part of their jobs, ML engineers should have great problem-solving skills. This will help them in solving problems and help them make better decisions. As an sr ml engineer, you will be responsible for mentoring junior ml engineers by solving any roadblock faced by them.

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How to get a remote senior machine learning engineer job?

To grow your career as an sr. machine learning engineer, you must have good years of experience as an ML engineer. Along with the experience, you should also keep yourself updated with the latest developments in the machine learning and data science space.
At Turing, we help developers get remote jobs that are in line with their goals. Turing helps you grow your career professionally with top Silicon Valley companies. You can join the network of developers worldwide and accelerate your career with Turing.

Why become a senior machine learning engineer at Turing?

Elite U.S jobs

Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you'll never have to apply for other remote CMS developer jobs

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.

Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their senior machine learning engineer?

At Turing, we help each developer get matched with silicon valley companies and get their desired job. However, Turing does suggest a number they think is right for the developer. The salary depends on your experience, clients’ needs and market conditions.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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