Top Mumbai Jobs

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.

Responsibilities:

• Develop, optimize, and deploy machine learning models, including classification, regression, and fine-tuning large language models like LLama and Vicuna.
• Collaborate with data scientists to understand business requirements and translate them into machine learning solutions.
• Preprocess and clean large datasets to ensure data quality and reliability.
• Implement feature engineering techniques to extract meaningful insights from complex data.
• Train, validate, and fine-tune machine learning models using state-of-the-art algorithms and methodologies, including LLama and Vicuna models.
• Conduct rigorous testing and performance evaluations of machine learning models to ensure accuracy and efficiency.
• Deploy machine learning models into production environments, ensuring scalability, stability, and reliability.
• Monitor and maintain deployed models, addressing any issues or improvements as necessary.
• Collaborate with software engineers to integrate machine learning models into existing software systems or develop new systems to support machine learning infrastructure.
• Stay up to date with the latest advancements in machine learning and apply them.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying classification and regression models, including fine-tuning large language models like LLama and Vicuna, in production environments.
• Strong programming skills in Python and experience with popular machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Solid understanding of machine learning algorithms, including logistic regression, decision trees, random forests, gradient boosting, and neural networks.
• Experience with data visualization and exploratory data analysis using tools like matplotlib or seaborn.
• Hands-on working with SQL, Redis and vector database.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and experience deploying machine learning models in a cloud environment.
• Knowledge of software engineering best practices, including version control, testing, and code documentation.
• Strong problem-solving and analytical thinking skills, with the ability to quickly grasp complex concepts and algorithms.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• Experience with deep learning architectures and frameworks (e.g., CNNs, RNNs, Keras, or PyTorch).
• Familiarity with natural language processing (NLP) techniques and libraries.
• Knowledge of distributed computing frameworks such as Apache Spark.
• Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with big data processing and storage technologies like Apache Hadoop and Apache Kafka.

What do we offer?

Growth

Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.

Flex University: We help you upskill by organising in-house courses on important subjects

Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.

Culture

Community and Team building activities

Host weekly, quarterly and annual events/parties.

Wellness

Mediclaim policy for you + parents + spouse + kids

Experienced therapist for better mental health, improve productivity & work-life balance 

We work 5 days from the office and we make sure people have everything they need:-

Free meals

Snacks, goodies & a lot of fun culture

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.

We are seeking a talented and experienced Machine Learning Engineer to join our team. To solve the most difficult and the most common problems of the customers and the merchants through the use of the data. Applied Machine Learning driven data Products for retailers in New Commerce to drive forward the next leap in Commerce

Applied Machine Learning Products will redefine organized and unorganized Retail in the New Commerce by enabling them to unlock significant value for customers and themselves.

Responsibilities:

• Develop, optimize, and deploy machine learning models, including classification, regression, and fine-tuning large language models like LLama and Vicuna.
• Collaborate with data scientists to understand business requirements and translate them into machine learning solutions.
• Preprocess and clean large datasets to ensure data quality and reliability.
• Implement feature engineering techniques to extract meaningful insights from complex data.
• Train, validate, and fine-tune machine learning models using state-of-the-art algorithms and methodologies, including LLama and Vicuna models.
• Conduct rigorous testing and performance evaluations of machine learning models to ensure accuracy and efficiency.
• Deploy machine learning models into production environments, ensuring scalability, stability, and reliability.
• Monitor and maintain deployed models, addressing any issues or improvements as necessary.
• Collaborate with software engineers to integrate machine learning models into existing software systems or develop new systems to support machine learning infrastructure.
• Stay up to date with the latest advancements in machine learning and apply them.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying classification and regression models, including fine-tuning large language models like LLama and Vicuna, in production environments.
• Strong programming skills in Python and experience with popular machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Solid understanding of machine learning algorithms, including logistic regression, decision trees, random forests, gradient boosting, and neural networks.
• Experience with data visualization and exploratory data analysis using tools like matplotlib or seaborn.
• Hands-on working with SQL, Redis and vector database.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and experience deploying machine learning models in a cloud environment.
• Knowledge of software engineering best practices, including version control, testing, and code documentation.
• Strong problem-solving and analytical thinking skills, with the ability to quickly grasp complex concepts and algorithms.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• Experience with deep learning architectures and frameworks (e.g., CNNs, RNNs, Keras, or PyTorch).
• Familiarity with natural language processing (NLP) techniques and libraries.
• Knowledge of distributed computing frameworks such as Apache Spark.
• Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with big data processing and storage technologies like Apache Hadoop and Apache Kafka.

What do we offer?

Growth

Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.

Flex University: We help you upskill by organising in-house courses on important subjects

Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.

Culture

Community and Team building activities

Host weekly, quarterly and annual events/parties.

Wellness

Mediclaim policy for you + parents + spouse + kids

Experienced therapist for better mental health, improve productivity & work-life balance 

We work 5 days from the office and we make sure people have everything they need:-

Free meals

Snacks, goodies & a lot of fun culture

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.

As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks.

Please find our research page : https://research.fynd.com/

Some of our products: https://www.erase.bg/, https://www.upscale.media/

What will you do at Fynd?

• Work on the deployment of machine learning and deep learning models.
• Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning.
• Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling.
• Maintain and further enhance the internal model feature store and optimize the feature engineering script.
• Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.
• Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models.
• Responsible for complete and accurate documentation of all development around machine learning engineering.

• 2+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP.
• Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc.
• Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines
• Deep experience across systems integration, information management, data management and architecture, and business analytics.
• Language: Python, Java, Scala, Unix bash script, REST API process.

What do we offer?

Growth

Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.

Flex University: We help you upskill by organising in-house courses on important subjects

Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.

Culture

Community and Team building activities

Host weekly, quarterly and annual events/parties.

Wellness

Mediclaim policy for you + parents + spouse + kids

Experienced therapist for better mental health, improve productivity & work-life balance 

We work 5 days from the office and we make sure people have everything they need:-

Free meals

Snacks, goodies & a lot of fun culture