Experienced Full Stack Lead Consultant – Data Science & Machine Learning Expert for Cloud-Based Solutions

About Apex Systems

Apex Systems is a leading global technology services firm that has been revolutionizing the way businesses operate by delivering cutting-edge solutions that cater to their digital visions. With a presence in over 70 markets across North America, Europe, and India, we have established ourselves as a trusted partner for organizations seeking to transform their operations and stay ahead of the curve. Our team of experts is dedicated to providing a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations, to drive better results and bring more value to our clients.

At Apex Systems, we prioritize professional development, work-life balance, and fostering a collaborative culture. We value our teams' well-being and recognize the importance of building strong relationships. That's why we organize regular team-building events and philanthropic days to give back to the community, fostering a sense of purpose and fulfillment among our team. Join us for career advancement, innovative solutions, and a supportive environment focused on your success.

Job Description

We are seeking a dynamic Lead Consultant with strong consultative skills to serve as a Lead Data Scientist. The role is intensely focused on developing advanced machine learning and deep learning models for real-world initiatives. As a Data Scientist, you will be at the forefront of research and development, focusing on the design, implementation, and fine-tuning of ML/DL models.

Key Responsibilities:

• Leading the exploration and application of Machine Learning and Deep Learning models to drive business insights and support data-driven decision making across projects.
• Demonstrating fluency in Python and ability to utilize, optimize, and alter off-the-shelf libraries and code.
• Implementing and deploying ML models using TensorFlow, Keras, Caffe, MXNet, PyTorch, and other frameworks with a focus on developing complex programs, custom algorithms, and optimized model performance.
• Developing and deploying a variety of ML models, including but not limited to recommendation, anomaly detection, forecasting, personalization predictive models, and other statistical methods.
• Performing experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tuning hyperparameters for optimal performance.
• Designing and implementing fine-tuning approaches and training models.
• Leading feature engineering efforts, including data preprocessing, aggregation, and transformation for structured, unstructured, and semi-structured data to enhance model accuracy and performance.
• Collaborating with cross-functional teams to identify business problems and design end-to-end data science solutions.
• Mentoring and guiding junior data scientists, fostering best practices in model development, deployment, and optimization.
• Promoting data science and machine learning ethics, ensuring models are developed and deployed with fairness and mitigating bias and adhering to privacy regulations and ethical standards.
• Managing and overseeing projects, ensuring timely delivery and adherence to budget and quality standards.
• Demonstrating strong technical knowledge and implementation skills. Staying current on relevant technology trends and practices.
• Building trust and respect among internal and external stakeholders and demonstrating collaborative teamwork.
• Producing high-quality deliverables, meeting project deadlines, and taking responsibility for engagement success.
• Demonstrating a passion for quality and process improvement.
• Demonstrating professional-level consulting skills and communication/presentation skills.
• Continually innovating, seeking creative solutions, and finding new ways of adding value.
• Listening and seeking to understand the client and meeting their needs, providing consultative guidance.
• Staying attuned to the future needs of the client and working with internal resources to identify opportunities.
• Proactively providing solutions and approaching adversity with a solution-focused mindset.
• Performing assessments of clients' environments and designing robust solutions and roadmaps.

Essential Qualifications:

• Masters or PhD in machine learning or a comparable industry career, with significant modeling experience on delivering products.
• 8+ years of experience writing and deploying production-quality models in languages such as Python.
• 8+ years of statistical predictive analytics experience, including industry-specific predictive modeling.
• 5+ years of practical technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar.
• Experience in a variety of machine learning models, such as recommendation, anomaly detection, forecasting, personalization predictive models, and other statistical methods.
• Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
• Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions.
• Practical technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar.
• Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients.
• Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions.
• Staying current with the latest developments in AI, machine learning, and data science, and actively contributing to the advancement of our technology stack and capabilities.
• Experience with Python scripts to drive data science workflows, having experience using SQL, and managing and merging of disparate data sources statistical analysis; and data mining algorithms.
• In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures.
• Familiarity with MLOps processes and best practices for deployment.
• Participation in Kaggle or other DL competitions preferred.
• Ability to stay on top of the state-of-the-art AI/ML papers preferred.
• Experience deploying a model with aggressive inference speed requirements preferred.
• Experience in Amazon SageMaker, Databricks, or similar tools to build, train, and deploy machine learning models preferred.

Preferred Qualifications:

• Experience in cloud-based solutions and deployment.
• Experience with containerization and orchestration tools, such as Docker and Kubernetes.
• Experience with cloud-based data storage and processing, such as Amazon S3 and Amazon Redshift.
• Experience with cloud-based machine learning platforms, such as Amazon SageMaker and Google Cloud AI Platform.
• Experience with DevOps practices and tools, such as Jenkins and GitLab.

Career Growth Opportunities and Learning Benefits:

At Apex Systems, we believe in investing in our employees' growth and development. As a Lead Consultant, you will have the opportunity to work on high-profile projects, collaborate with cross-functional teams, and develop your skills in machine learning and deep learning. We offer a range of training and development programs, including:

• Regular training sessions and workshops on the latest technologies and trends.
• Opportunities to attend industry conferences and events.
• Access to online courses and tutorials.
• Mentorship programs to help you develop your skills and career.

Work Environment and Company Culture:

At Apex Systems, we pride ourselves on our collaborative and inclusive culture. Our team is passionate about delivering exceptional results and making a positive impact on our clients' businesses. We offer a range of benefits and perks, including:

• A competitive salary and bonus structure.
• A comprehensive benefits package, including health, dental, and vision insurance.
• A 401(k) retirement plan and matching program.
• Flexible work arrangements, including remote work options.
• A range of training and development programs.
• Opportunities to attend industry conferences and events.
• Access to online courses and tutorials.
• Mentorship programs to help you develop your skills and career.
• A collaborative and inclusive culture.
• Regular team-building events and social activities.
• A commitment to diversity, equity, and inclusion.

Compensation, Perks, and Benefits:

We offer a competitive salary and bonus structure, as well as a comprehensive benefits package, including:

• Health, dental, and vision insurance.
• A 401(k) retirement plan and matching program.
• Flexible work arrangements, including remote work options.
• A range of training and development programs.
• Opportunities to attend industry conferences and events.
• Access to online courses and tutorials.
• Mentorship programs to help you develop your skills and career.
• A collaborative and inclusive culture.
• Regular team-building events and social activities.
• A commitment to diversity, equity, and inclusion.

Conclusion:

If you are a motivated and experienced Lead Consultant with a passion for machine learning and deep learning, we encourage you to apply for this exciting opportunity. At Apex Systems, we offer a dynamic and supportive work environment, a range of benefits and perks, and opportunities for career growth and development. Join our team and be part of a leading global technology services firm that is shaping the future of business.

How to Apply:

To apply for this role, please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you!

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