The Job logo

What

Where

Sign in

Machine Learning Engineer (Generative AI)

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Join our team to transform workplace experience with Generative AI-powered Enterprise Personal Assistant. You will contribute to operationalizing ML solutions, setting coding standards, and conducting ML feasibility studies. Develop your skills and be part of the innovation at LLMs.

Job description 

What success looks like in this role:

 

We are working with Fortune 500 companies to transform their employees' workplace experience with Generative AI-powered Enterprise Personal Assistant. You will be at the forefront of the innovation happening with LLMs.

Operationalize Machine Learning solutions

Setting coding standards within ML team

Being responsible for MLOps within ML team

Contribute to Machine Learning feasibility studies

Participate in bi-weekly machine learning papers review meetings

Have professional skills development plan and required help

 

#LI-AB1

 

 

You will be successful in this role if you have:

At least 4 years experience in Software Engineering, Machine Learning Engineering

Extensive experience working with Python, SQL

Algorithms and data structures knowledge

Solid statistics and/or math background

Experience operationalizing Machine Learning-based solutions

Experience working with at least one cloud provider like Azure, Amazon, or Google Cloud

Experience working with Spark

Ability to grasp new technologies very quickly

Ability to work effectively and independently as well as part of a team

Ability to communicate clearly and effectively, both in writing and verbally in English

Salary Range: 40,000-65,000 EURO gross (before tax) per annum depending on your competencies, skills and experienceIs 

Set alert for similar jobsMachine Learning Engineer (Generative AI) role in Bengaluru, India
Unisys Logo

Company

Unisys

Job Posted

10 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 Years

Category

Software Engineering

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

Unisys Logo

Generative AI Lead Engineer

Unisys

Bengaluru, Karnataka, India

Posted: 10 months ago

Job description  What success looks like in this role:   As a Generative AI Lead Engineer, you will be at the forefront of advancing artificial intelligence technology. Your primary responsibility will be to lead a team of highly skilled engineers, researchers, and developers in the design, development, and deployment of state-of-the-art generative AI models and applications. Your leadership will be instrumental in driving innovation and pushing the boundaries of what AI can achieve in content generation, creativity, and problem-solving.       Team Leadership: You will be tasked with not only managing your team but also inspiring and guiding them to excel in their roles. Your leadership will be essential in fostering a collaborative and innovative environment where ideas flow freely, and team members are motivated to push the envelope of what generative AI can do. Research and Development: Staying at the cutting edge of AI research is a key part of your role. You will lead research initiatives to explore new techniques, algorithms, and approaches in generative AI, ensuring that your team remains at the forefront of this rapidly evolving field. Your work will contribute to breakthroughs in AI technology. Project Management: You will oversee multiple projects concurrently, managing timelines, resources, and budgets. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial to define project goals and ensure successful execution. Algorithm Optimization: Efficiency, scalability, and performance are paramount in generative AI. You will be responsible for optimizing generative models, ensuring they are both powerful and efficient. Rigorous testing and debugging will be necessary to maintain the reliability and robustness of these models. Quality Assurance: Your role will include establishing and upholding rigorous quality standards for generative AI outputs. This will involve developing testing and validation procedures to guarantee the high quality of generated content or solutions. Documentation and Reporting: Clear documentation of research findings, algorithms, and code is essential for both internal and external stakeholders. You will prepare comprehensive reports and presentations to communicate your team's progress and findings effectively. Collaboration and Communication: Collaboration is at the heart of this role. You will work closely with cross-functional teams, translating complex technical concepts into understandable insights for both technical and non-technical colleagues. Compliance and Ethics: Ensuring that generative AI systems adhere to ethical guidelines and legal requirements is a vital aspect of this role, especially when working in areas with sensitive applications. Your leadership in ethical AI practices will be essential.   #LI-BN1     You will be successful in this role if you have: Qualifications: Your educational background should ideally include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A minimum of 8-10 years of experience within the engineering organization with high-level expertise Proven hands-on experience in generative AI, deep learning, and natural language processing is a must, showcasing your expertise in the field. Strong hands-on programming skills in languages like Python, TensorFlow, PyTorch, or similar are necessary to lead technical teams effectively. Experience in leading and managing technical teams is vital, as you'll be responsible for guiding your team to success. Strong problem-solving and analytical skills will aid you in addressing complex challenges. Excellent communication and presentation skills are essential to convey your ideas and findings effectively. Knowledge of ethical AI principles and best practices is crucial to ensure responsible AI development. Your adaptability to evolving technologies and research is important in keeping your team at the forefront of generative AI advancements. Preferred Qualifications: If you have published research in relevant AI conferences and journals, it demonstrates your contributions to the field. Certification in AI domain will be added advantage. Experience with cloud-based AI services and platforms showcases your familiarity with modern AI infrastructure. Familiarity with generative adversarial networks (GANs), recurrent neural networks (RNNs), and transformers indicates your depth of knowledge in generative AI techniques. Experience in working with large datasets and distributed computing is a valuable asset. Knowledge of industry-specific applications for generative AI, such as content generation, creative design, or natural language generation, can be a significant advantage in certain roles.

GE (General Electric) Logo

Research Engineer - AI Machine Learning

GE (General Electric)

Bengaluru, Karnataka, India

Posted: 5 months ago

Research Engineer - AI-Machine Learning opportunity at GE Aerospace Research involving developing advanced technology solutions using AI/ML, validating performance, documenting results, and staying updated with system technologies within a team environment across GE Aerospace Research and business units in Bengaluru, Karnataka, India.

GlobalLogic Logo

Machine Learning Engineer

GlobalLogic

Bengaluru, Karnataka, India

Posted: a year ago

We are looking for a Machine Learning Engineer with strong Python programming skills and 5-8 years of proven experience in data science, data engineering, product analytics, or related fields. A degree in engineering, statistics, mathematics, or related fields is strongly preferred. The ability to work in a constantly evolving and less defined business environment, work with disparate teams, and prioritize tasks is crucial for success in this role. Experience with machine learning, artificial intelligence, and econometrics is strongly preferred. Knowledge of the advertising and digital marketing industry is a plus. Excellent communication and documentation skills are required.

Publicis Sapient Logo

Manager - DS-AI & Machine Learning

Publicis Sapient

Bengaluru, Karnataka, India

Posted: a year ago

Job Description Publicis Sapient is looking for an experienced Manager, Machine Learning Engineering to lead our talented team of AI and data science experts. In this influential role, you will be responsible for developing and implementing solutions that address complex business challenges across a wide range of industries. Your expertise will empower clients to revolutionize their businesses by harnessing the potential of advanced technology. As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. Your Impact: Provide strategic direction and overseeing the execution of machine learning initiatives to address specific business needs. Lead and manage a team of Machine Learning Engineers in designing, developing, and implementing machine learning models. Collaborate with cross-functional teams to understand business requirements and strategize innovative solutions. Oversee the collection, preprocessing, and analysis of large datasets to identify patterns, trends, and relationships for training machine learning models. Guide the selection and implementation of machine learning algorithms and models, including feature engineering, optimization, and evaluation. Ensure the development and maintenance of robust, scalable, and reusable code, with proper version control. Establish and enforce MLOps best practices to streamline the development, deployment, and monitoring of machine learning models in production environments Qualifications Your Skills & Experience: Bachelor’s or master’s degree in computer science, engineering, statistics, or a related field, with a focus on machine learning or artificial intelligence. At least five years of experience as a Machine Learning Engineer or a related role, with a proven track record of leading and managing teams. Demonstrated expertise in developing and deploying machine learning models and implementing MLOps best practices. Strong programming skills in languages such as Python, R, or Java, with experience in machine learning libraries like TensorFlow, Keras, or PyTorch. Proficiency in developing and executing strategic plans, aligning team and project goals with overall business objectives and priorities. Experience in establishing and managing partnerships with technology vendors, service providers, and other external stakeholders to support the delivery. Set Yourself Apart With: Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms ML Model deployments and serving Model Monitoring, Management, and Governance ML Feature Store and Artefact Store Orchestration and ML Pipeline A Tip from the Hiring Manager: Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work. Additional Information Gender Neutral Policy 18 paid holidays throughout the year  Generous parental leave and new parent transition program Flexible work arrangements  Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Glance Logo

Machine Learning Engineer - II

Glance

Bengaluru, Karnataka, India

Posted: a year ago

Glance is looking for a Machine Learning Engineer II. As an ML engineer, you will be responsible for contributing to the design, development, deployment, testing, maintenance, and enhancement of ML software solutions. Day-to-day activities include architecting and implementing end-to-end solutions, creating microservices and APIs, designing and implementing potential products, deploying data solutions, and collaborating with teams to define and deploy new ML / AI products. We are looking for candidates with enthusiasm, ownership, and problem-solving skills.

Capital One Logo

Lead Machine Learning Engineer

Capital One

Bengaluru, Karnataka, India

Posted: 5 months ago

Lead Machine Learning Engineer opportunity at Capital One, Bengaluru, India. Work on big data systems, ML applications, and data pipelines using Python, Scala, or Java. Mentor team, design ML systems, and deploy solutions in public cloud environments. Full-time, On-site role with a focus on technical leadership.