Generative AI Developer

Machine Learning/ NLP Engineers

Mumbai, India

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Responsibilities:  

• Drive the research and innovation in a result-oriented direction. 
• Stay up to date with the latest research trends, have a high level of curiosity and keep exploring advancements in NLU and their applications in conversational AI. 
• Mentor other team members during the experimentation phase and help them narrow down the inconclusive direction. 
• Come up with ideas to improve NLU capabilities using transfer learning from historical conversational data. 
• Benchmark the prototype on Data to gain the required precision. 
• Perform in-depth analysis of failure points of the algorithm on different environments. 
• Foresee data requirements for future research projects and come up with innovative approaches for data generation. 
• Scale models for multiple domains with the help of DevOps, backend and frontend teams. 
• Publish and present successful research in relevant journals and conferences. 

Requirements: 

• Experience with training and fine-tuning machine learning models on large text datasets. 
• Strong computer science fundamentals and 3+ years of software development experience. 
• Track record of thinking big and finding simple solutions while dealing with ambiguity. 
• Proven experience as a Natural Language Processing Engineer or other similar roles. 
• Good understanding of Natural Language Processing tricks and techniques for semantic extraction, data structure, and modelling. 
• Understanding of text representation techniques, algorithms, and statistics Familiarity with R language, Python, and Java. 
• Good knowledge of Machine Learning frameworks such as eras, PyTorch, etc. 
• Ability to code and design software architectures. 
• Problem-solving abilities, communication skills, and analytical mind.
• Proven and successful experience on at least one of the projects amongst information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing or machine translation. 
• Relevant publications, patents or talks delivered at reputed conferences are a bonus. ∙

Work Ex: 4+ years

BENEFITS PACKAGE:

TIFIN offers a competitive benefits package that includes:

·         Performance Linked variable compensation.

·         Medical insurance

·         Tax-saving benefits

·         Flexible PTO policy and Company-paid holidays

·         Parental Leave: 6 months paid maternity,

2 weeks paid paternity Leave

A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore, this role is based out of Mumbai.  

TIFIN is proud to be an equal-opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.

Key Responsibilities:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. Understanding of Data Analysis and Visualization tools and techniques.

Day in the life...

As a machine learning engineer at Neysa, you would be required to

- Collaborate with network engineers and IT teams to identify network-related challenges and areas where ML can provide solutions. Understand the specific network remediation problems that need to be addressed.

- Develop ML-based models and algorithms specific to issues that affect computer networks, for example, congestion, security threats and human errors.

- Be comfortable handling multiple types and data sources and then pre-process and clean them for modelling purposes. 

- Develop machine learning models that analyse networking data to predict (and possibly prevent) issues, detect anomalies or optimise performance. Choose the right approach for each, such as deep learning, reinforcement learning, or traditional statistical methods. 

- Train and evaluate the efficacy of your models, create performance metrics to assess robustness and effectiveness, and use feedback loops to make course corrections.

- Design solutions that can scale to handle large network environments efficiently. This typically means optimising execution latency and resource usage.  

- Integrate your model to work with running and maintaining a network. These could be with other machines, human operators, or both. 

- Document your design, architecture and your thought process. Work with the technical writers to make sure your message gets through.

- Stay updated with all that is changing in AI and ML.

Must have skills

- You should have expertise in machine learning algorithms, data processing, and model development. It would be best to have proficiency in associated frameworks such as TensorFlow, PyTorch or scikit-learn.

- You should understand how computer networks work, how they are used, how they fail, and what happens if they fail.

- You should be proficient in programming languages like Python, R, Go, LISP, etc. It would help if you also were very useful with old-school shell scripting. 

- Experience with data processing tools like Hadoop, Spark or Kafka. 

- An above-average understanding of Linux and operating systems in general.

What separates the best from the rest

ML and AI are continuously evolving, and so is understanding how these technologies can be applied to solve real-world problems. To do your best, you may also need to

- Conceptualise ways to map new problems to existing methodologies or create new ones.

- Be prepared to iterate, reiterate and then iterate your approach.

- Be able to interact with subject matter experts in multiple fields to identify potential use cases for machine learning.

What you can expect

An environment where you can do your best work...

- The best equipment that complements your talents

- The best tools in the business for you to bring your creations to life

- A great environment

- Flexible work hours and flexible work locations

- The opportunity to make your mark and shape the future

- And have fun...

We're looking for a Machine Learning Engineer who is good at understanding and working with images. Your main job will be to create a system that can look at pictures of games and figure out what different parts do and how they work.

Responsibilities:

• Build a machine learning system that can look at game screen images and identify different parts.
• Make sure the system can guess what each part does when someone uses it.
• Work with other team members to make sure the system works well in our products.
• Keep checking and improving the system to make it better.
• Explain how you built the system and how it works to other team members.

Experience:

• It’s great if you’ve built systems like this before.
• If you have any projects or research in machine learning or image processing, we’d love to hear about it.
• Experience with cloud services (like AWS or Google Cloud) for running big projects is helpful.

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!