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Associate Manager - Applied Machine Learning @ Avizva Solutions

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 Associate Manager - Applied Machine Learning

Job Description

    Backdrop We are a Product Engineering Group, that has led large-scale transformation engagements with clients in the Healthcare domain. Over a glorious journey of more than a decade, we have partnered with a plethora of healthcare leaders to understand & address their unique needs & challenges with Our Products & Professional Engineering Services. Our engagements have created a big impact & go much beyond delivering stand-alone technology solutions. We are proud to have developed a long-standing strategic partnership with a distinguished client base. Today, we have travelled a journey packed with growth, learning and opportunities - which in turn empowered us to become a strong team of over 400 multi-disciplinary engineers spread across our work locations in Reston (USA), Gurugram (India) and Indore (India). Our Products & Services are designed to be incredibly adaptable to industry-wide strategies & requirements and serve the heterogeneous needs of healthcare enterprises across the board. This has put us in a great spot to take our offerings to a wider market. Overview Of The Role As an Associate Manager - Applied Machine Learning, you will oversee and guide a team of machine learning engineers in designing and deploying advanced machine learning solutions across products. This role requires a blend of technical expertise in machine learning and strong leadership skills. You will contribute to model development, manage project timelines, and ensure alignment with organizational objectives. Additionally, you will collaborate with cross-functional teams, including product managers and business leaders, to deliver impactful, scalable machine-learning solutions that meet business requirements. Job Responsibilities Lead and manage the team by setting clear goals, priorities, and performance expectations that align with business objectives, ensuring everyone stays focused, motivated, and on track to meet project milestones. Architect and oversee the entire lifecycle of multiple machine learning projects, collaborating with stakeholders to deliver on time and in line with business needs while proactively addressing challenges as they arise. Take ownership of complex technical and operational issues during the project lifecycle, troubleshooting and providing solutions to keep projects moving forward efficiently. Work closely with the infrastructure and engineering teams to ensure models are deployed and integrated seamlessly into production environments. Foster a culture of continuous improvement by implementing agile practices, running regular retrospectives, and applying lessons learned to enhance future projects and processes. Stay up to date with emerging machine learning technologies, conducting research and prototyping new algorithms to solve complex challenges. Motivate the team to consistently deliver high-quality results on time while maintaining a collaborative and positive work environment. Skills & Qualifications Bachelors or Masters degree in Computer Science or any other analytically inclined field of study. 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with a minimum of 5 years of expertise in Python. Hands-on experience with Core Python and advanced Python features and libraries such as requests, TensorFlow, Keras, PyTorch, Pillow, Scrapy, Numpy, Pandas, Matplotlib, SQLAlchemy, Django, Flask, Twisted and FAST API. Experience in system design and architecture, with a strong command over design principles focused on Python. Minimum a year experience in Gen AI, Agentic AI, Large Language Models (LLMs like LangChain, LLaMA, transformer models), RAG. Skilled in NLP, NLG, Text Analytics, Transformer-based models, and Deep Learning concepts like CNNs, RNNs, LSTM, GRU. Involved in classification and clustering algorithms, including ensemble models like Gradient Boosting Machines, XGBoost, LightGBM, Predictive Modelling, Decision tree, Linear regression, SVM etc. In-depth knowledge in Object-Oriented Programming (OOPs) and Databases (SQL & NoSQL). Proficient in using ORM tools like SQLAlchemy or Django ORM, with expertise in developing, integrating, and testing RESTful services. Hands-on experience in debugging and using testing frameworks like pytest or unit test. Familiar with front-end fundamentals and web development frameworks, with a deep understanding of Agile methodology. Excellent communication skills and possess strong problem-solving skills.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Associate Manager - Applied Machine Learning

Contact Details:

Company: AVIZVA
Location(s): Other Haryana

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Keyskills:   Python Numpy Matplotlib SQLAlchemy Django Flask Twisted NLP Text Analytics Deep Learning Predictive Modelling Linear Regression SVM Databases SQL NoSQL ORM Tools Debugging Agile Methodology Communication Skills TensorFlow Keras PyTorch Pandas

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Avizva Solutions

About AVIZVAAt AVIZVA, we are resolute to bring together the best technological, consulting and creative expertise. As a technology partner, our obsession to understand 'why' in order to construct 'how' and 'what' has resulted in a perfect blend of advanced technology, visual design, and adoption st...