AI Solutions Developer
Sourcefit
AWSAzureCloudJavaKerasPythonPyTorchTensorflow
Senior Technical Lead
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
JavaKerasPythonPyTorchTensorflow
About the role
- Conduct advanced research in AI and machine learning; stay up to date with latest advancements and explore emerging technologies.
- Design and architect AI solutions for complex problems, considering scalability, performance, and maintainability.
- Provide technical guidance and mentorship to junior team members; share best practices and review code/designs.
- Participate in technical discussions and provide thought leadership; translate stakeholder requirements into technical solutions.
- Collaborate with cross-functional teams (product managers, data scientists, business analysts) to ensure alignment and successful implementation.
- Drive continuous improvement and innovation in AI/ML practices; identify areas of improvement and promote best practices.
- Evaluate and integrate third-party tools or services to enhance AI capabilities.
- Facilitate design review sessions and mentor junior team members during reviews.
- Collaborate with engineering manager and team lead to refine design and implementation strategies; provide constructive feedback.
- Participate in and coordinate meetings; prepare and deliver detailed presentations and reports to stakeholders.
- May interpret and report data findings and maintain or update business intelligence tools, databases, dashboards, systems, or methods.
- May be involved in design and development of solutions to complex application problems, system administration issues, or network concerns where applicable.
Requirements
- Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline; Master’s degree is desirable.
- Typically, 4-7 years’ experience (minimum 4 years).
- Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning).
- Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics.
- Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory, statistical concepts).
- Understanding and developing complex machine learning models and algorithms.
- Proficiency in programming languages such as Python, R, or Java.
- Experience developing production-level code and familiarity with software engineering best practices and version control systems (e.g., Git).
- Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras is a plus.
- Advanced knowledge and experience in deep learning (CNNs, RNNs, transformers), transfer learning, generative models, and optimization algorithms.
- Proficiency in using agentic frameworks like langGraph or similar frameworks.
- Knowledgeable in lineage tracking of agentic architectures (e.g., langfuse, langsmith).
- Knowledge of evaluation of traditional AI/ML and Gen-AI based applications during development and in production.
- Experience conducting research and staying updated with latest AI/ML advancements.
- Provide technical leadership, mentorship, and guidance to junior team members.
- Excellent communication skills and strong problem-solving and critical thinking abilities.
Benefits
- Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
- Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
- Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We have the flexibility to manage our work and personal needs.
- Hybrid work arrangement: This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning algorithmslinear regressiondecision treessupport vector machinesrandom forestsdeep learning modelsreinforcement learningmodel selectionhyperparameter tuningprogramming languages
Soft skills
technical guidancementorshipcommunication skillsproblem-solvingcritical thinkingcollaborationthought leadershipconstructive feedbackcontinuous improvementinnovation
Certifications
Bachelor's degreeMaster’s degree
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