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Machine Learning Engineer
1 month ago
About The Role
We are looking for a Machine Learning (ML) / Generative AI Engineer to help us create AI/ML solutions. As a Machine Learning Engineer you will be responsible for data collection, cleaning, processing, training / retraining models and deploying them to production. For Generative AI Engineer, you will work on generative models to create novel and realistic outputs. You should have exceptional skills in statistics and programming, apart from this you should also have knowledge of data science and software engineering. The ideal candidate should be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
Key Responsibilities
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
Design, implement, and optimize machine learning algorithms and models to address specific business challenges and requirements.
Train, fine-tune, and evaluate machine learning models using state-of-the-art techniques.
Implement best practices for model validation and performance monitoring.
Contribute to the development of solutions based on generative AI models, exploring novel approaches to create realistic and innovative outputs.
Perform statistical analysis and fine-tuning using test results.
Implement Open Source Large Language Models like Mistral, Llama3 etc. for various Gen AI use cases in production.
Ability to continuously experiment and learn to stay up to date with the rapidly evolving Gen AI ecosystem.
Training models and tuning their hyper parameters.
Analyzing the errors of the model and designing strategies to overcome them.
Education level: Bachelor’s degree (B.E. / B. Tech) in Computer Science or equivalent from reputed institute
Technical Expertise
1-2 yrs of proven experience as a Machine Learning Engineer or similar role.
Ability to write robust code in Python, Java.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, pandas, Numpy, SciPy), OpenCV.
Understanding of data structures, data modeling and software architecture.
Knowledge of generative AI techniques and applications like LLMs, RAG architectures.
Experience with AWS cloud platforms for model deployment is a plus.
Knowledge of AWS AI/ML services like SageMaker, Bedrock etc. is preferred.
Good knowledge of AI and ML best practices for model building, automation, iterative learning.
Strong analytical and problem-solving skills.
Excellent communication skills.
About Oneture Technologies
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.
Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions— from ideation, project inception, planning through deployment to ongoing support and maintenance.
Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.